3067 lines
221 KiB
Plaintext
3067 lines
221 KiB
Plaintext
Creating freqtrade_freqtrade_run ...
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Creating freqtrade_freqtrade_run ... done
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2025-04-29 01:54:55,246 - freqtrade - INFO - freqtrade 2025.3
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2025-04-29 01:54:55,464 - numexpr.utils - INFO - NumExpr defaulting to 12 threads.
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2025-04-29 01:54:56,878 - freqtrade.configuration.load_config - INFO - Using config: /freqtrade/config_examples/config_freqai.okx.json ...
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2025-04-29 01:54:56,879 - freqtrade.configuration.load_config - INFO - Using config: /freqtrade/templates/FreqaiExampleStrategy.json ...
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2025-04-29 01:54:56,881 - freqtrade.loggers - INFO - Enabling colorized output.
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2025-04-29 01:54:56,881[90m - [0m[95mroot[0m[90m - [0m[34mINFO[0m[90m - [0mLogfile configured
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2025-04-29 01:54:56,882[90m - [0m[95mfreqtrade.loggers[0m[90m - [0m[34mINFO[0m[90m - [0mVerbosity set to 0
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2025-04-29 01:54:56,882[90m - [0m[95mfreqtrade.configuration.configuration[0m[90m - [0m[34mINFO[0m[90m - [0mUsing additional Strategy lookup path: /freqtrade/templates
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2025-04-29 01:54:56,883[90m - [0m[95mfreqtrade.configuration.configuration[0m[90m - [0m[34mINFO[0m[90m - [0mUsing max_open_trades: 4 ...
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2025-04-29 01:54:56,883[90m - [0m[95mfreqtrade.configuration.configuration[0m[90m - [0m[34mINFO[0m[90m - [0mParameter --timerange detected: 20250101-20250420 ...
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2025-04-29 01:54:56,907[90m - [0m[95mfreqtrade.configuration.configuration[0m[90m - [0m[34mINFO[0m[90m - [0mUsing user-data directory: /freqtrade/user_data ...
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2025-04-29 01:54:56,908[90m - [0m[95mfreqtrade.configuration.configuration[0m[90m - [0m[34mINFO[0m[90m - [0mUsing data directory: /freqtrade/user_data/data/okx ...
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2025-04-29 01:54:56,908[90m - [0m[95mfreqtrade.configuration.configuration[0m[90m - [0m[34mINFO[0m[90m - [0mParameter --cache=none detected ...
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2025-04-29 01:54:56,908[90m - [0m[95mfreqtrade.configuration.configuration[0m[90m - [0m[34mINFO[0m[90m - [0mFilter trades by timerange: 20250101-20250420
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2025-04-29 01:54:56,909[90m - [0m[95mfreqtrade.configuration.configuration[0m[90m - [0m[34mINFO[0m[90m - [0mUsing freqaimodel class name: XGBoostRegressor
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2025-04-29 01:54:56,910[90m - [0m[95mfreqtrade.exchange.check_exchange[0m[90m - [0m[34mINFO[0m[90m - [0mChecking exchange...
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2025-04-29 01:54:56,916[90m - [0m[95mfreqtrade.exchange.check_exchange[0m[90m - [0m[34mINFO[0m[90m - [0mExchange "okx" is officially supported by the Freqtrade development team.
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2025-04-29 01:54:56,916[90m - [0m[95mfreqtrade.configuration.configuration[0m[90m - [0m[34mINFO[0m[90m - [0mUsing pairlist from configuration.
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2025-04-29 01:54:56,917[90m - [0m[95mfreqtrade.configuration.config_validation[0m[90m - [0m[34mINFO[0m[90m - [0mValidating configuration ...
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2025-04-29 01:54:56,919[90m - [0m[95mfreqtrade.commands.optimize_commands[0m[90m - [0m[34mINFO[0m[90m - [0mStarting freqtrade in Backtesting mode
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2025-04-29 01:54:56,919[90m - [0m[95mfreqtrade.exchange.exchange[0m[90m - [0m[34mINFO[0m[90m - [0mInstance is running with dry_run enabled
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2025-04-29 01:54:56,920[90m - [0m[95mfreqtrade.exchange.exchange[0m[90m - [0m[34mINFO[0m[90m - [0mUsing CCXT 4.4.69
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2025-04-29 01:54:56,920[90m - [0m[95mfreqtrade.exchange.exchange[0m[90m - [0m[34mINFO[0m[90m - [0mApplying additional ccxt config: {'enableRateLimit': True, 'rateLimit': 500, 'options': {'defaultType': 'spot'}}
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2025-04-29 01:54:56,925[90m - [0m[95mfreqtrade.exchange.exchange[0m[90m - [0m[34mINFO[0m[90m - [0mApplying additional ccxt config: {'enableRateLimit': True, 'rateLimit': 500, 'options': {'defaultType': 'spot'}, 'timeout': 20000}
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2025-04-29 01:54:56,931[90m - [0m[95mfreqtrade.exchange.exchange[0m[90m - [0m[34mINFO[0m[90m - [0mUsing Exchange "OKX"
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2025-04-29 01:54:59,471[90m - [0m[95mfreqtrade.resolvers.exchange_resolver[0m[90m - [0m[34mINFO[0m[90m - [0mUsing resolved exchange 'Okx'...
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2025-04-29 01:54:59,491[90m - [0m[95mfreqtrade.resolvers.iresolver[0m[90m - [0m[34mINFO[0m[90m - [0mUsing resolved strategy FreqaiExampleStrategy from '/freqtrade/templates/FreqaiExampleStrategy.py'...
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2025-04-29 01:54:59,491[90m - [0m[95mfreqtrade.strategy.hyper[0m[90m - [0m[34mINFO[0m[90m - [0mLoading parameters from file /freqtrade/templates/FreqaiExampleStrategy.json
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2025-04-29 01:54:59,492[90m - [0m[95mfreqtrade.resolvers.strategy_resolver[0m[90m - [0m[34mINFO[0m[90m - [0mOverride strategy 'timeframe' with value in config file: 3m.
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2025-04-29 01:54:59,492[90m - [0m[95mfreqtrade.resolvers.strategy_resolver[0m[90m - [0m[34mINFO[0m[90m - [0mOverride strategy 'stoploss' with value in config file: -0.05.
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2025-04-29 01:54:59,493[90m - [0m[95mfreqtrade.resolvers.strategy_resolver[0m[90m - [0m[34mINFO[0m[90m - [0mOverride strategy 'stake_currency' with value in config file: USDT.
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2025-04-29 01:54:59,493[90m - [0m[95mfreqtrade.resolvers.strategy_resolver[0m[90m - [0m[34mINFO[0m[90m - [0mOverride strategy 'stake_amount' with value in config file: 150.
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2025-04-29 01:54:59,493[90m - [0m[95mfreqtrade.resolvers.strategy_resolver[0m[90m - [0m[34mINFO[0m[90m - [0mOverride strategy 'startup_candle_count' with value in config file: 30.
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2025-04-29 01:54:59,494[90m - [0m[95mfreqtrade.resolvers.strategy_resolver[0m[90m - [0m[34mINFO[0m[90m - [0mOverride strategy 'unfilledtimeout' with value in config file: {'entry': 5, 'exit': 15, 'exit_timeout_count': 0, 'unit':
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'minutes'}.
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2025-04-29 01:54:59,494[90m - [0m[95mfreqtrade.resolvers.strategy_resolver[0m[90m - [0m[34mINFO[0m[90m - [0mOverride strategy 'max_open_trades' with value in config file: 4.
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2025-04-29 01:54:59,494[90m - [0m[95mfreqtrade.resolvers.strategy_resolver[0m[90m - [0m[34mINFO[0m[90m - [0mStrategy using minimal_roi: {'0': 0.132, '8': 0.047, '14': 0.007, '60': 0}
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2025-04-29 01:54:59,495[90m - [0m[95mfreqtrade.resolvers.strategy_resolver[0m[90m - [0m[34mINFO[0m[90m - [0mStrategy using timeframe: 3m
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2025-04-29 01:54:59,495[90m - [0m[95mfreqtrade.resolvers.strategy_resolver[0m[90m - [0m[34mINFO[0m[90m - [0mStrategy using stoploss: -0.05
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2025-04-29 01:54:59,495[90m - [0m[95mfreqtrade.resolvers.strategy_resolver[0m[90m - [0m[34mINFO[0m[90m - [0mStrategy using trailing_stop: True
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2025-04-29 01:54:59,495[90m - [0m[95mfreqtrade.resolvers.strategy_resolver[0m[90m - [0m[34mINFO[0m[90m - [0mStrategy using trailing_stop_positive: 0.01
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2025-04-29 01:54:59,496[90m - [0m[95mfreqtrade.resolvers.strategy_resolver[0m[90m - [0m[34mINFO[0m[90m - [0mStrategy using trailing_stop_positive_offset: 0.02
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2025-04-29 01:54:59,496[90m - [0m[95mfreqtrade.resolvers.strategy_resolver[0m[90m - [0m[34mINFO[0m[90m - [0mStrategy using trailing_only_offset_is_reached: False
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2025-04-29 01:54:59,496[90m - [0m[95mfreqtrade.resolvers.strategy_resolver[0m[90m - [0m[34mINFO[0m[90m - [0mStrategy using use_custom_stoploss: False
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2025-04-29 01:54:59,497[90m - [0m[95mfreqtrade.resolvers.strategy_resolver[0m[90m - [0m[34mINFO[0m[90m - [0mStrategy using process_only_new_candles: True
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2025-04-29 01:54:59,497[90m - [0m[95mfreqtrade.resolvers.strategy_resolver[0m[90m - [0m[34mINFO[0m[90m - [0mStrategy using order_types: {'entry': 'limit', 'exit': 'limit', 'stoploss': 'limit', 'stoploss_on_exchange': False,
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'stoploss_on_exchange_interval': 60}
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2025-04-29 01:54:59,497[90m - [0m[95mfreqtrade.resolvers.strategy_resolver[0m[90m - [0m[34mINFO[0m[90m - [0mStrategy using order_time_in_force: {'entry': 'GTC', 'exit': 'GTC'}
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2025-04-29 01:54:59,498[90m - [0m[95mfreqtrade.resolvers.strategy_resolver[0m[90m - [0m[34mINFO[0m[90m - [0mStrategy using stake_currency: USDT
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2025-04-29 01:54:59,498[90m - [0m[95mfreqtrade.resolvers.strategy_resolver[0m[90m - [0m[34mINFO[0m[90m - [0mStrategy using stake_amount: 150
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2025-04-29 01:54:59,498[90m - [0m[95mfreqtrade.resolvers.strategy_resolver[0m[90m - [0m[34mINFO[0m[90m - [0mStrategy using startup_candle_count: 30
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2025-04-29 01:54:59,499[90m - [0m[95mfreqtrade.resolvers.strategy_resolver[0m[90m - [0m[34mINFO[0m[90m - [0mStrategy using unfilledtimeout: {'entry': 5, 'exit': 15, 'exit_timeout_count': 0, 'unit': 'minutes'}
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2025-04-29 01:54:59,499[90m - [0m[95mfreqtrade.resolvers.strategy_resolver[0m[90m - [0m[34mINFO[0m[90m - [0mStrategy using use_exit_signal: True
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2025-04-29 01:54:59,499[90m - [0m[95mfreqtrade.resolvers.strategy_resolver[0m[90m - [0m[34mINFO[0m[90m - [0mStrategy using exit_profit_only: False
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2025-04-29 01:54:59,500[90m - [0m[95mfreqtrade.resolvers.strategy_resolver[0m[90m - [0m[34mINFO[0m[90m - [0mStrategy using ignore_roi_if_entry_signal: False
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2025-04-29 01:54:59,500[90m - [0m[95mfreqtrade.resolvers.strategy_resolver[0m[90m - [0m[34mINFO[0m[90m - [0mStrategy using exit_profit_offset: 0.0
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2025-04-29 01:54:59,500[90m - [0m[95mfreqtrade.resolvers.strategy_resolver[0m[90m - [0m[34mINFO[0m[90m - [0mStrategy using disable_dataframe_checks: False
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2025-04-29 01:54:59,500[90m - [0m[95mfreqtrade.resolvers.strategy_resolver[0m[90m - [0m[34mINFO[0m[90m - [0mStrategy using ignore_buying_expired_candle_after: 0
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2025-04-29 01:54:59,501[90m - [0m[95mfreqtrade.resolvers.strategy_resolver[0m[90m - [0m[34mINFO[0m[90m - [0mStrategy using position_adjustment_enable: False
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2025-04-29 01:54:59,501[90m - [0m[95mfreqtrade.resolvers.strategy_resolver[0m[90m - [0m[34mINFO[0m[90m - [0mStrategy using max_entry_position_adjustment: -1
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2025-04-29 01:54:59,501[90m - [0m[95mfreqtrade.resolvers.strategy_resolver[0m[90m - [0m[34mINFO[0m[90m - [0mStrategy using max_open_trades: 4
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2025-04-29 01:54:59,502[90m - [0m[95mfreqtrade.configuration.config_validation[0m[90m - [0m[34mINFO[0m[90m - [0mValidating configuration ...
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2025-04-29 01:54:59,505[90m - [0m[95mfreqtrade.resolvers.iresolver[0m[90m - [0m[34mINFO[0m[90m - [0mUsing resolved pairlist StaticPairList from '/freqtrade/freqtrade/plugins/pairlist/StaticPairList.py'...
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2025-04-29 01:54:59,512[90m - [0m[95mfreqtrade.optimize.backtesting[0m[90m - [0m[34mINFO[0m[90m - [0mUsing fee 0.1500% - worst case fee from exchange (lowest tier).
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2025-04-29 01:54:59,512[90m - [0m[95mfreqtrade.data.dataprovider[0m[90m - [0m[34mINFO[0m[90m - [0mIncreasing startup_candle_count for freqai on 3m to 14450
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2025-04-29 01:54:59,513[90m - [0m[95mfreqtrade.data.history.history_utils[0m[90m - [0m[34mINFO[0m[90m - [0mUsing indicator startup period: 14450 ...
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2025-04-29 01:54:59,672[90m - [0m[95mfreqtrade.optimize.backtesting[0m[90m - [0m[34mINFO[0m[90m - [0mLoading data from 2024-12-01 21:30:00 up to 2025-04-20 00:00:00 (139 days).
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2025-04-29 01:54:59,672[90m - [0m[95mfreqtrade.optimize.backtesting[0m[90m - [0m[34mINFO[0m[90m - [0mDataload complete. Calculating indicators
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2025-04-29 01:54:59,673[90m - [0m[95mfreqtrade.optimize.backtesting[0m[90m - [0m[34mINFO[0m[90m - [0mRunning backtesting for Strategy FreqaiExampleStrategy
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2025-04-29 01:55:01,274[90m - [0m[95mmatplotlib.font_manager[0m[90m - [0m[34mINFO[0m[90m - [0mgenerated new fontManager
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2025-04-29 01:55:01,489[90m - [0m[95mfreqtrade.resolvers.iresolver[0m[90m - [0m[34mINFO[0m[90m - [0mUsing resolved freqaimodel XGBoostRegressor from '/freqtrade/freqtrade/freqai/prediction_models/XGBoostRegressor.py'...
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2025-04-29 01:55:01,490[90m - [0m[95mfreqtrade.freqai.data_drawer[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find existing datadrawer, starting from scratch
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2025-04-29 01:55:01,491[90m - [0m[95mfreqtrade.freqai.data_drawer[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find existing historic_predictions, starting from scratch
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2025-04-29 01:55:01,491[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mSet fresh train queue from whitelist. Queue: ['BTC/USDT', 'SOL/USDT']
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2025-04-29 01:55:01,492[90m - [0m[95mfreqtrade.strategy.hyper[0m[90m - [0m[34mINFO[0m[90m - [0mStrategy Parameter: buy_rsi = 39.92672300850069
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2025-04-29 01:55:01,492[90m - [0m[95mfreqtrade.strategy.hyper[0m[90m - [0m[34mINFO[0m[90m - [0mStrategy Parameter: sell_rsi = 69.92672300850067
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2025-04-29 01:55:01,493[90m - [0m[95mfreqtrade.strategy.hyper[0m[90m - [0m[34mINFO[0m[90m - [0mNo params for protection found, using default values.
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2025-04-29 01:55:01,498[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m处理交易对：BTC/USDT
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2025-04-29 01:55:01,500[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mTraining 11 timeranges
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2025-04-29 01:55:01,501[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mTraining BTC/USDT, 1/2 pairs from 2024-12-02 00:00:00 to 2025-01-01 00:00:00, 1/11 trains
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2025-04-29 01:55:01,502[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find backtesting prediction file at
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/freqtrade/user_data/models/test175/backtesting_predictions/cb_btc_1735689600_prediction.feather
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2025-04-29 01:55:01,602[90m - [0m[95mfreqtrade.data.dataprovider[0m[90m - [0m[34mINFO[0m[90m - [0mIncreasing startup_candle_count for freqai on 5m to 8690
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2025-04-29 01:55:01,603[90m - [0m[95mfreqtrade.data.dataprovider[0m[90m - [0m[34mINFO[0m[90m - [0mLoading data for BTC/USDT 5m from 2024-12-01 19:50:00 to 2025-04-20 00:00:00
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2025-04-29 01:55:01,705[90m - [0m[95mfreqtrade.data.dataprovider[0m[90m - [0m[34mINFO[0m[90m - [0mIncreasing startup_candle_count for freqai on 1h to 770
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2025-04-29 01:55:01,706[90m - [0m[95mfreqtrade.data.dataprovider[0m[90m - [0m[34mINFO[0m[90m - [0mLoading data for BTC/USDT 1h from 2024-11-29 22:00:00 to 2025-04-20 00:00:00
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2025-04-29 01:55:01,814[90m - [0m[95mfreqtrade.data.dataprovider[0m[90m - [0m[34mINFO[0m[90m - [0mIncreasing startup_candle_count for freqai on 3m to 14450
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2025-04-29 01:55:01,815[90m - [0m[95mfreqtrade.data.dataprovider[0m[90m - [0m[34mINFO[0m[90m - [0mLoading data for ETH/USDT 3m from 2024-12-01 21:30:00 to 2025-04-20 00:00:00
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2025-04-29 01:55:01,942[90m - [0m[95mfreqtrade.data.dataprovider[0m[90m - [0m[34mINFO[0m[90m - [0mIncreasing startup_candle_count for freqai on 5m to 8690
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2025-04-29 01:55:01,943[90m - [0m[95mfreqtrade.data.dataprovider[0m[90m - [0m[34mINFO[0m[90m - [0mLoading data for ETH/USDT 5m from 2024-12-01 19:50:00 to 2025-04-20 00:00:00
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2025-04-29 01:55:02,037[90m - [0m[95mfreqtrade.data.dataprovider[0m[90m - [0m[34mINFO[0m[90m - [0mIncreasing startup_candle_count for freqai on 1h to 770
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2025-04-29 01:55:02,038[90m - [0m[95mfreqtrade.data.dataprovider[0m[90m - [0m[34mINFO[0m[90m - [0mLoading data for ETH/USDT 1h from 2024-11-29 22:00:00 to 2025-04-20 00:00:00
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2025-04-29 01:55:02,113[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：BTC/USDT
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2025-04-29 01:55:02,118[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(14450,)
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2025-04-29 01:55:02,121[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
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up_or_down &-buy_rsi
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0 0.003572 50.152831
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1 0.003285 50.152831
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2 0.001898 50.152831
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3 0.000484 50.152831
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4 0.001688 50.152831
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2025-04-29 01:55:02,123[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：BTC/USDT
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2025-04-29 01:55:02,129[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(19250,)
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2025-04-29 01:55:02,130[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
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up_or_down &-buy_rsi
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0 0.003572 50.202701
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1 0.003285 50.202701
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2 0.001898 50.202701
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3 0.000484 50.202701
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4 0.001688 50.202701
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2025-04-29 01:55:02,134[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find model at /freqtrade/user_data/models/test175/sub-train-BTC_1735689600/cb_btc_1735689600
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2025-04-29 01:55:02,135[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Starting training BTC/USDT --------------------
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2025-04-29 01:55:02,151[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mBTC/USDT: dropped 0 training points due to NaNs in populated dataset 14400.
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2025-04-29 01:55:02,152[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Training on data from 2024-12-02 to 2024-12-31 --------------------
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2025-04-29 01:55:07,277[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 75 features
|
||
2025-04-29 01:55:07,278[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 11520 data points
|
||
[0] validation_0-rmse:0.24624 validation_1-rmse:0.26036
|
||
[1] validation_0-rmse:0.24176 validation_1-rmse:0.25460
|
||
[2] validation_0-rmse:0.23782 validation_1-rmse:0.24904
|
||
[3] validation_0-rmse:0.23408 validation_1-rmse:0.24381
|
||
[4] validation_0-rmse:0.23057 validation_1-rmse:0.23882
|
||
[5] validation_0-rmse:0.22701 validation_1-rmse:0.23409
|
||
[6] validation_0-rmse:0.22400 validation_1-rmse:0.22962
|
||
[7] validation_0-rmse:0.22088 validation_1-rmse:0.22533
|
||
[8] validation_0-rmse:0.21817 validation_1-rmse:0.22130
|
||
[9] validation_0-rmse:0.21491 validation_1-rmse:0.21740
|
||
[10] validation_0-rmse:0.21265 validation_1-rmse:0.21347
|
||
[11] validation_0-rmse:0.20982 validation_1-rmse:0.20978
|
||
[12] validation_0-rmse:0.20747 validation_1-rmse:0.20640
|
||
[13] validation_0-rmse:0.20512 validation_1-rmse:0.20299
|
||
[14] validation_0-rmse:0.20280 validation_1-rmse:0.19966
|
||
[15] validation_0-rmse:0.20012 validation_1-rmse:0.19656
|
||
[16] validation_0-rmse:0.19785 validation_1-rmse:0.19346
|
||
[17] validation_0-rmse:0.19572 validation_1-rmse:0.19054
|
||
[18] validation_0-rmse:0.19400 validation_1-rmse:0.18759
|
||
[19] validation_0-rmse:0.19164 validation_1-rmse:0.18488
|
||
[20] validation_0-rmse:0.18956 validation_1-rmse:0.18205
|
||
[21] validation_0-rmse:0.18746 validation_1-rmse:0.17951
|
||
[22] validation_0-rmse:0.18593 validation_1-rmse:0.17696
|
||
[23] validation_0-rmse:0.18395 validation_1-rmse:0.17465
|
||
[24] validation_0-rmse:0.18249 validation_1-rmse:0.17217
|
||
[25] validation_0-rmse:0.18084 validation_1-rmse:0.16993
|
||
[26] validation_0-rmse:0.17928 validation_1-rmse:0.16771
|
||
[27] validation_0-rmse:0.17776 validation_1-rmse:0.16571
|
||
[28] validation_0-rmse:0.17652 validation_1-rmse:0.16356
|
||
[29] validation_0-rmse:0.17499 validation_1-rmse:0.16166
|
||
[30] validation_0-rmse:0.17371 validation_1-rmse:0.15983
|
||
[31] validation_0-rmse:0.17243 validation_1-rmse:0.15792
|
||
[32] validation_0-rmse:0.17110 validation_1-rmse:0.15628
|
||
[33] validation_0-rmse:0.16996 validation_1-rmse:0.15433
|
||
[34] validation_0-rmse:0.16884 validation_1-rmse:0.15277
|
||
[35] validation_0-rmse:0.16785 validation_1-rmse:0.15090
|
||
[36] validation_0-rmse:0.16682 validation_1-rmse:0.14942
|
||
[37] validation_0-rmse:0.16559 validation_1-rmse:0.14774
|
||
[38] validation_0-rmse:0.16459 validation_1-rmse:0.14628
|
||
[39] validation_0-rmse:0.16356 validation_1-rmse:0.14466
|
||
[40] validation_0-rmse:0.16250 validation_1-rmse:0.14330
|
||
[41] validation_0-rmse:0.16153 validation_1-rmse:0.14201
|
||
[42] validation_0-rmse:0.16059 validation_1-rmse:0.14075
|
||
[43] validation_0-rmse:0.15986 validation_1-rmse:0.13938
|
||
[44] validation_0-rmse:0.15908 validation_1-rmse:0.13822
|
||
[45] validation_0-rmse:0.15810 validation_1-rmse:0.13687
|
||
[46] validation_0-rmse:0.15733 validation_1-rmse:0.13577
|
||
[47] validation_0-rmse:0.15655 validation_1-rmse:0.13458
|
||
[48] validation_0-rmse:0.15580 validation_1-rmse:0.13355
|
||
[49] validation_0-rmse:0.15512 validation_1-rmse:0.13228
|
||
[50] validation_0-rmse:0.15434 validation_1-rmse:0.13121
|
||
[51] validation_0-rmse:0.15363 validation_1-rmse:0.13030
|
||
[52] validation_0-rmse:0.15294 validation_1-rmse:0.12937
|
||
[53] validation_0-rmse:0.15243 validation_1-rmse:0.12818
|
||
[54] validation_0-rmse:0.15170 validation_1-rmse:0.12720
|
||
[55] validation_0-rmse:0.15096 validation_1-rmse:0.12632
|
||
[56] validation_0-rmse:0.15035 validation_1-rmse:0.12538
|
||
[57] validation_0-rmse:0.14977 validation_1-rmse:0.12453
|
||
[58] validation_0-rmse:0.14914 validation_1-rmse:0.12363
|
||
[59] validation_0-rmse:0.14867 validation_1-rmse:0.12263
|
||
[60] validation_0-rmse:0.14819 validation_1-rmse:0.12183
|
||
[61] validation_0-rmse:0.14763 validation_1-rmse:0.12108
|
||
[62] validation_0-rmse:0.14706 validation_1-rmse:0.12035
|
||
[63] validation_0-rmse:0.14648 validation_1-rmse:0.11946
|
||
[64] validation_0-rmse:0.14601 validation_1-rmse:0.11876
|
||
[65] validation_0-rmse:0.14553 validation_1-rmse:0.11808
|
||
[66] validation_0-rmse:0.14506 validation_1-rmse:0.11742
|
||
[67] validation_0-rmse:0.14469 validation_1-rmse:0.11671
|
||
[68] validation_0-rmse:0.14422 validation_1-rmse:0.11604
|
||
[69] validation_0-rmse:0.14381 validation_1-rmse:0.11543
|
||
[70] validation_0-rmse:0.14337 validation_1-rmse:0.11485
|
||
[71] validation_0-rmse:0.14294 validation_1-rmse:0.11398
|
||
[72] validation_0-rmse:0.14260 validation_1-rmse:0.11335
|
||
[73] validation_0-rmse:0.14223 validation_1-rmse:0.11278
|
||
[74] validation_0-rmse:0.14190 validation_1-rmse:0.11225
|
||
[75] validation_0-rmse:0.14144 validation_1-rmse:0.11143
|
||
[76] validation_0-rmse:0.14098 validation_1-rmse:0.11052
|
||
[77] validation_0-rmse:0.14062 validation_1-rmse:0.10998
|
||
[78] validation_0-rmse:0.14029 validation_1-rmse:0.10953
|
||
[79] validation_0-rmse:0.13993 validation_1-rmse:0.10888
|
||
[80] validation_0-rmse:0.13958 validation_1-rmse:0.10839
|
||
[81] validation_0-rmse:0.13918 validation_1-rmse:0.10767
|
||
[82] validation_0-rmse:0.13897 validation_1-rmse:0.10720
|
||
[83] validation_0-rmse:0.13864 validation_1-rmse:0.10669
|
||
[84] validation_0-rmse:0.13836 validation_1-rmse:0.10620
|
||
[85] validation_0-rmse:0.13810 validation_1-rmse:0.10573
|
||
[86] validation_0-rmse:0.13782 validation_1-rmse:0.10526
|
||
[87] validation_0-rmse:0.13756 validation_1-rmse:0.10458
|
||
[88] validation_0-rmse:0.13736 validation_1-rmse:0.10420
|
||
[89] validation_0-rmse:0.13708 validation_1-rmse:0.10383
|
||
[90] validation_0-rmse:0.13685 validation_1-rmse:0.10343
|
||
[91] validation_0-rmse:0.13658 validation_1-rmse:0.10298
|
||
[92] validation_0-rmse:0.13646 validation_1-rmse:0.10231
|
||
[93] validation_0-rmse:0.13615 validation_1-rmse:0.10190
|
||
[94] validation_0-rmse:0.13589 validation_1-rmse:0.10154
|
||
[95] validation_0-rmse:0.13572 validation_1-rmse:0.10095
|
||
[96] validation_0-rmse:0.13550 validation_1-rmse:0.10058
|
||
[97] validation_0-rmse:0.13530 validation_1-rmse:0.10026
|
||
[98] validation_0-rmse:0.13513 validation_1-rmse:0.09995
|
||
[99] validation_0-rmse:0.13480 validation_1-rmse:0.09950
|
||
2025-04-29 01:55:08,221[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Done training BTC/USDT (6.09 secs) --------------------
|
||
2025-04-29 01:55:08,222[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mSaving metadata to disk.
|
||
2025-04-29 01:55:08,903[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mTraining BTC/USDT, 1/2 pairs from 2024-12-12 00:00:00 to 2025-01-11 00:00:00, 2/11 trains
|
||
2025-04-29 01:55:08,904[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find backtesting prediction file at
|
||
/freqtrade/user_data/models/test175/backtesting_predictions/cb_btc_1736553600_prediction.feather
|
||
2025-04-29 01:55:08,907[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：BTC/USDT
|
||
2025-04-29 01:55:08,912[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(19250,)
|
||
2025-04-29 01:55:08,914[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.003572 50.202701
|
||
1 0.003285 50.202701
|
||
2 0.001898 50.202701
|
||
3 0.000484 50.202701
|
||
4 0.001688 50.202701
|
||
2025-04-29 01:55:08,917[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：BTC/USDT
|
||
2025-04-29 01:55:08,924[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(24050,)
|
||
2025-04-29 01:55:08,925[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.003572 50.367593
|
||
1 0.003285 50.367593
|
||
2 0.001898 50.367593
|
||
3 0.000484 50.367593
|
||
4 0.001688 50.367593
|
||
2025-04-29 01:55:08,929[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find model at /freqtrade/user_data/models/test175/sub-train-BTC_1736553600/cb_btc_1736553600
|
||
2025-04-29 01:55:08,930[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Starting training BTC/USDT --------------------
|
||
2025-04-29 01:55:08,946[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mBTC/USDT: dropped 0 training points due to NaNs in populated dataset 14400.
|
||
2025-04-29 01:55:08,947[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Training on data from 2024-12-12 to 2025-01-10 --------------------
|
||
2025-04-29 01:55:13,908[90m - [0m[95mdatasieve.pipeline[0m[90m - [0m[34mINFO[0m[90m - [0mDI tossed 5 predictions for being too far from training data.
|
||
2025-04-29 01:55:13,911[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 75 features
|
||
2025-04-29 01:55:13,912[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 11520 data points
|
||
[0] validation_0-rmse:0.26037 validation_1-rmse:0.25324
|
||
[1] validation_0-rmse:0.25572 validation_1-rmse:0.24787
|
||
[2] validation_0-rmse:0.25117 validation_1-rmse:0.24281
|
||
[3] validation_0-rmse:0.24697 validation_1-rmse:0.23802
|
||
[4] validation_0-rmse:0.24328 validation_1-rmse:0.23332
|
||
[5] validation_0-rmse:0.23939 validation_1-rmse:0.22905
|
||
[6] validation_0-rmse:0.23522 validation_1-rmse:0.22484
|
||
[7] validation_0-rmse:0.23148 validation_1-rmse:0.22085
|
||
[8] validation_0-rmse:0.22873 validation_1-rmse:0.21697
|
||
[9] validation_0-rmse:0.22519 validation_1-rmse:0.21317
|
||
[10] validation_0-rmse:0.22206 validation_1-rmse:0.20963
|
||
[11] validation_0-rmse:0.21866 validation_1-rmse:0.20626
|
||
[12] validation_0-rmse:0.21563 validation_1-rmse:0.20296
|
||
[13] validation_0-rmse:0.21313 validation_1-rmse:0.19956
|
||
[14] validation_0-rmse:0.21062 validation_1-rmse:0.19636
|
||
[15] validation_0-rmse:0.20808 validation_1-rmse:0.19339
|
||
[16] validation_0-rmse:0.20570 validation_1-rmse:0.19058
|
||
[17] validation_0-rmse:0.20318 validation_1-rmse:0.18781
|
||
[18] validation_0-rmse:0.20113 validation_1-rmse:0.18518
|
||
[19] validation_0-rmse:0.19934 validation_1-rmse:0.18248
|
||
[20] validation_0-rmse:0.19735 validation_1-rmse:0.18006
|
||
[21] validation_0-rmse:0.19541 validation_1-rmse:0.17744
|
||
[22] validation_0-rmse:0.19336 validation_1-rmse:0.17517
|
||
[23] validation_0-rmse:0.19145 validation_1-rmse:0.17301
|
||
[24] validation_0-rmse:0.18989 validation_1-rmse:0.17058
|
||
[25] validation_0-rmse:0.18782 validation_1-rmse:0.16854
|
||
[26] validation_0-rmse:0.18634 validation_1-rmse:0.16625
|
||
[27] validation_0-rmse:0.18471 validation_1-rmse:0.16430
|
||
[28] validation_0-rmse:0.18312 validation_1-rmse:0.16236
|
||
[29] validation_0-rmse:0.18157 validation_1-rmse:0.16053
|
||
[30] validation_0-rmse:0.17991 validation_1-rmse:0.15849
|
||
[31] validation_0-rmse:0.17839 validation_1-rmse:0.15677
|
||
[32] validation_0-rmse:0.17693 validation_1-rmse:0.15498
|
||
[33] validation_0-rmse:0.17574 validation_1-rmse:0.15336
|
||
[34] validation_0-rmse:0.17469 validation_1-rmse:0.15168
|
||
[35] validation_0-rmse:0.17352 validation_1-rmse:0.15015
|
||
[36] validation_0-rmse:0.17228 validation_1-rmse:0.14868
|
||
[37] validation_0-rmse:0.17127 validation_1-rmse:0.14692
|
||
[38] validation_0-rmse:0.17030 validation_1-rmse:0.14553
|
||
[39] validation_0-rmse:0.16926 validation_1-rmse:0.14420
|
||
[40] validation_0-rmse:0.16821 validation_1-rmse:0.14297
|
||
[41] validation_0-rmse:0.16740 validation_1-rmse:0.14144
|
||
[42] validation_0-rmse:0.16647 validation_1-rmse:0.14020
|
||
[43] validation_0-rmse:0.16548 validation_1-rmse:0.13903
|
||
[44] validation_0-rmse:0.16440 validation_1-rmse:0.13765
|
||
[45] validation_0-rmse:0.16353 validation_1-rmse:0.13652
|
||
[46] validation_0-rmse:0.16269 validation_1-rmse:0.13522
|
||
[47] validation_0-rmse:0.16193 validation_1-rmse:0.13419
|
||
[48] validation_0-rmse:0.16114 validation_1-rmse:0.13311
|
||
[49] validation_0-rmse:0.16043 validation_1-rmse:0.13214
|
||
[50] validation_0-rmse:0.15971 validation_1-rmse:0.13090
|
||
[51] validation_0-rmse:0.15909 validation_1-rmse:0.12992
|
||
[52] validation_0-rmse:0.15834 validation_1-rmse:0.12899
|
||
[53] validation_0-rmse:0.15763 validation_1-rmse:0.12809
|
||
[54] validation_0-rmse:0.15697 validation_1-rmse:0.12724
|
||
[55] validation_0-rmse:0.15631 validation_1-rmse:0.12637
|
||
[56] validation_0-rmse:0.15553 validation_1-rmse:0.12535
|
||
[57] validation_0-rmse:0.15494 validation_1-rmse:0.12456
|
||
[58] validation_0-rmse:0.15452 validation_1-rmse:0.12352
|
||
[59] validation_0-rmse:0.15396 validation_1-rmse:0.12273
|
||
[60] validation_0-rmse:0.15334 validation_1-rmse:0.12196
|
||
[61] validation_0-rmse:0.15274 validation_1-rmse:0.12123
|
||
[62] validation_0-rmse:0.15221 validation_1-rmse:0.12048
|
||
[63] validation_0-rmse:0.15176 validation_1-rmse:0.11953
|
||
[64] validation_0-rmse:0.15133 validation_1-rmse:0.11887
|
||
[65] validation_0-rmse:0.15080 validation_1-rmse:0.11796
|
||
[66] validation_0-rmse:0.15035 validation_1-rmse:0.11734
|
||
[67] validation_0-rmse:0.14995 validation_1-rmse:0.11667
|
||
[68] validation_0-rmse:0.14954 validation_1-rmse:0.11616
|
||
[69] validation_0-rmse:0.14916 validation_1-rmse:0.11535
|
||
[70] validation_0-rmse:0.14887 validation_1-rmse:0.11469
|
||
[71] validation_0-rmse:0.14854 validation_1-rmse:0.11408
|
||
[72] validation_0-rmse:0.14811 validation_1-rmse:0.11334
|
||
[73] validation_0-rmse:0.14766 validation_1-rmse:0.11278
|
||
[74] validation_0-rmse:0.14738 validation_1-rmse:0.11231
|
||
[75] validation_0-rmse:0.14697 validation_1-rmse:0.11184
|
||
[76] validation_0-rmse:0.14663 validation_1-rmse:0.11108
|
||
[77] validation_0-rmse:0.14635 validation_1-rmse:0.11058
|
||
[78] validation_0-rmse:0.14591 validation_1-rmse:0.10984
|
||
[79] validation_0-rmse:0.14561 validation_1-rmse:0.10929
|
||
[80] validation_0-rmse:0.14529 validation_1-rmse:0.10875
|
||
[81] validation_0-rmse:0.14510 validation_1-rmse:0.10826
|
||
[82] validation_0-rmse:0.14471 validation_1-rmse:0.10772
|
||
[83] validation_0-rmse:0.14444 validation_1-rmse:0.10725
|
||
[84] validation_0-rmse:0.14420 validation_1-rmse:0.10652
|
||
[85] validation_0-rmse:0.14393 validation_1-rmse:0.10608
|
||
[86] validation_0-rmse:0.14371 validation_1-rmse:0.10567
|
||
[87] validation_0-rmse:0.14342 validation_1-rmse:0.10528
|
||
[88] validation_0-rmse:0.14314 validation_1-rmse:0.10483
|
||
[89] validation_0-rmse:0.14307 validation_1-rmse:0.10439
|
||
[90] validation_0-rmse:0.14273 validation_1-rmse:0.10395
|
||
[91] validation_0-rmse:0.14237 validation_1-rmse:0.10353
|
||
[92] validation_0-rmse:0.14210 validation_1-rmse:0.10318
|
||
[93] validation_0-rmse:0.14186 validation_1-rmse:0.10279
|
||
[94] validation_0-rmse:0.14175 validation_1-rmse:0.10234
|
||
[95] validation_0-rmse:0.14153 validation_1-rmse:0.10204
|
||
[96] validation_0-rmse:0.14142 validation_1-rmse:0.10160
|
||
[97] validation_0-rmse:0.14124 validation_1-rmse:0.10126
|
||
[98] validation_0-rmse:0.14102 validation_1-rmse:0.10068
|
||
[99] validation_0-rmse:0.14079 validation_1-rmse:0.10036
|
||
2025-04-29 01:55:14,692[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Done training BTC/USDT (5.76 secs) --------------------
|
||
2025-04-29 01:55:14,693[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mSaving metadata to disk.
|
||
2025-04-29 01:55:15,250[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mTraining BTC/USDT, 1/2 pairs from 2024-12-22 00:00:00 to 2025-01-21 00:00:00, 3/11 trains
|
||
2025-04-29 01:55:15,250[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find backtesting prediction file at
|
||
/freqtrade/user_data/models/test175/backtesting_predictions/cb_btc_1737417600_prediction.feather
|
||
2025-04-29 01:55:15,254[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：BTC/USDT
|
||
2025-04-29 01:55:15,261[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(24050,)
|
||
2025-04-29 01:55:15,262[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.003572 50.367593
|
||
1 0.003285 50.367593
|
||
2 0.001898 50.367593
|
||
3 0.000484 50.367593
|
||
4 0.001688 50.367593
|
||
2025-04-29 01:55:15,268[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：BTC/USDT
|
||
2025-04-29 01:55:15,275[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(28850,)
|
||
2025-04-29 01:55:15,276[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.003572 50.305589
|
||
1 0.003285 50.305589
|
||
2 0.001898 50.305589
|
||
3 0.000484 50.305589
|
||
4 0.001688 50.305589
|
||
2025-04-29 01:55:15,281[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find model at /freqtrade/user_data/models/test175/sub-train-BTC_1737417600/cb_btc_1737417600
|
||
2025-04-29 01:55:15,281[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Starting training BTC/USDT --------------------
|
||
2025-04-29 01:55:15,297[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mBTC/USDT: dropped 0 training points due to NaNs in populated dataset 14400.
|
||
2025-04-29 01:55:15,298[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Training on data from 2024-12-22 to 2025-01-20 --------------------
|
||
2025-04-29 01:55:20,324[90m - [0m[95mdatasieve.pipeline[0m[90m - [0m[34mINFO[0m[90m - [0mDI tossed 1622 predictions for being too far from training data.
|
||
2025-04-29 01:55:20,327[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 75 features
|
||
2025-04-29 01:55:20,327[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 11520 data points
|
||
[0] validation_0-rmse:0.25769 validation_1-rmse:0.25549
|
||
[1] validation_0-rmse:0.25314 validation_1-rmse:0.24986
|
||
[2] validation_0-rmse:0.24864 validation_1-rmse:0.24456
|
||
[3] validation_0-rmse:0.24486 validation_1-rmse:0.23955
|
||
[4] validation_0-rmse:0.24144 validation_1-rmse:0.23480
|
||
[5] validation_0-rmse:0.23803 validation_1-rmse:0.23024
|
||
[6] validation_0-rmse:0.23468 validation_1-rmse:0.22599
|
||
[7] validation_0-rmse:0.23134 validation_1-rmse:0.22162
|
||
[8] validation_0-rmse:0.22843 validation_1-rmse:0.21773
|
||
[9] validation_0-rmse:0.22560 validation_1-rmse:0.21396
|
||
[10] validation_0-rmse:0.22402 validation_1-rmse:0.21023
|
||
[11] validation_0-rmse:0.22155 validation_1-rmse:0.20680
|
||
[12] validation_0-rmse:0.21899 validation_1-rmse:0.20342
|
||
[13] validation_0-rmse:0.21654 validation_1-rmse:0.20029
|
||
[14] validation_0-rmse:0.21431 validation_1-rmse:0.19719
|
||
[15] validation_0-rmse:0.21282 validation_1-rmse:0.19411
|
||
[16] validation_0-rmse:0.21076 validation_1-rmse:0.19117
|
||
[17] validation_0-rmse:0.20882 validation_1-rmse:0.18835
|
||
[18] validation_0-rmse:0.20695 validation_1-rmse:0.18547
|
||
[19] validation_0-rmse:0.20538 validation_1-rmse:0.18292
|
||
[20] validation_0-rmse:0.20345 validation_1-rmse:0.18038
|
||
[21] validation_0-rmse:0.20148 validation_1-rmse:0.17799
|
||
[22] validation_0-rmse:0.19991 validation_1-rmse:0.17569
|
||
[23] validation_0-rmse:0.19832 validation_1-rmse:0.17350
|
||
[24] validation_0-rmse:0.19658 validation_1-rmse:0.17096
|
||
[25] validation_0-rmse:0.19474 validation_1-rmse:0.16879
|
||
[26] validation_0-rmse:0.19292 validation_1-rmse:0.16665
|
||
[27] validation_0-rmse:0.19134 validation_1-rmse:0.16470
|
||
[28] validation_0-rmse:0.19034 validation_1-rmse:0.16253
|
||
[29] validation_0-rmse:0.18882 validation_1-rmse:0.16068
|
||
[30] validation_0-rmse:0.18736 validation_1-rmse:0.15892
|
||
[31] validation_0-rmse:0.18605 validation_1-rmse:0.15690
|
||
[32] validation_0-rmse:0.18481 validation_1-rmse:0.15521
|
||
[33] validation_0-rmse:0.18346 validation_1-rmse:0.15356
|
||
[34] validation_0-rmse:0.18222 validation_1-rmse:0.15188
|
||
[35] validation_0-rmse:0.18095 validation_1-rmse:0.15028
|
||
[36] validation_0-rmse:0.18015 validation_1-rmse:0.14857
|
||
[37] validation_0-rmse:0.17915 validation_1-rmse:0.14713
|
||
[38] validation_0-rmse:0.17817 validation_1-rmse:0.14573
|
||
[39] validation_0-rmse:0.17723 validation_1-rmse:0.14437
|
||
[40] validation_0-rmse:0.17619 validation_1-rmse:0.14308
|
||
[41] validation_0-rmse:0.17509 validation_1-rmse:0.14176
|
||
[42] validation_0-rmse:0.17407 validation_1-rmse:0.14047
|
||
[43] validation_0-rmse:0.17340 validation_1-rmse:0.13921
|
||
[44] validation_0-rmse:0.17245 validation_1-rmse:0.13806
|
||
[45] validation_0-rmse:0.17212 validation_1-rmse:0.13685
|
||
[46] validation_0-rmse:0.17133 validation_1-rmse:0.13577
|
||
[47] validation_0-rmse:0.17064 validation_1-rmse:0.13451
|
||
[48] validation_0-rmse:0.17004 validation_1-rmse:0.13331
|
||
[49] validation_0-rmse:0.16941 validation_1-rmse:0.13222
|
||
[50] validation_0-rmse:0.16858 validation_1-rmse:0.13123
|
||
[51] validation_0-rmse:0.16786 validation_1-rmse:0.13007
|
||
[52] validation_0-rmse:0.16718 validation_1-rmse:0.12912
|
||
[53] validation_0-rmse:0.16651 validation_1-rmse:0.12806
|
||
[54] validation_0-rmse:0.16592 validation_1-rmse:0.12709
|
||
[55] validation_0-rmse:0.16542 validation_1-rmse:0.12604
|
||
[56] validation_0-rmse:0.16479 validation_1-rmse:0.12523
|
||
[57] validation_0-rmse:0.16426 validation_1-rmse:0.12439
|
||
[58] validation_0-rmse:0.16363 validation_1-rmse:0.12352
|
||
[59] validation_0-rmse:0.16325 validation_1-rmse:0.12263
|
||
[60] validation_0-rmse:0.16289 validation_1-rmse:0.12173
|
||
[61] validation_0-rmse:0.16226 validation_1-rmse:0.12099
|
||
[62] validation_0-rmse:0.16176 validation_1-rmse:0.12010
|
||
[63] validation_0-rmse:0.16144 validation_1-rmse:0.11936
|
||
[64] validation_0-rmse:0.16088 validation_1-rmse:0.11862
|
||
[65] validation_0-rmse:0.16030 validation_1-rmse:0.11786
|
||
[66] validation_0-rmse:0.15991 validation_1-rmse:0.11714
|
||
[67] validation_0-rmse:0.15947 validation_1-rmse:0.11640
|
||
[68] validation_0-rmse:0.15912 validation_1-rmse:0.11574
|
||
[69] validation_0-rmse:0.15874 validation_1-rmse:0.11507
|
||
[70] validation_0-rmse:0.15837 validation_1-rmse:0.11430
|
||
[71] validation_0-rmse:0.15798 validation_1-rmse:0.11365
|
||
[72] validation_0-rmse:0.15763 validation_1-rmse:0.11305
|
||
[73] validation_0-rmse:0.15713 validation_1-rmse:0.11250
|
||
[74] validation_0-rmse:0.15648 validation_1-rmse:0.11177
|
||
[75] validation_0-rmse:0.15619 validation_1-rmse:0.11122
|
||
[76] validation_0-rmse:0.15593 validation_1-rmse:0.11066
|
||
[77] validation_0-rmse:0.15562 validation_1-rmse:0.11007
|
||
[78] validation_0-rmse:0.15519 validation_1-rmse:0.10953
|
||
[79] validation_0-rmse:0.15500 validation_1-rmse:0.10883
|
||
[80] validation_0-rmse:0.15461 validation_1-rmse:0.10835
|
||
[81] validation_0-rmse:0.15417 validation_1-rmse:0.10780
|
||
[82] validation_0-rmse:0.15393 validation_1-rmse:0.10742
|
||
[83] validation_0-rmse:0.15395 validation_1-rmse:0.10634
|
||
[84] validation_0-rmse:0.15359 validation_1-rmse:0.10588
|
||
[85] validation_0-rmse:0.15315 validation_1-rmse:0.10539
|
||
[86] validation_0-rmse:0.15315 validation_1-rmse:0.10440
|
||
[87] validation_0-rmse:0.15278 validation_1-rmse:0.10400
|
||
[88] validation_0-rmse:0.15239 validation_1-rmse:0.10353
|
||
[89] validation_0-rmse:0.15200 validation_1-rmse:0.10310
|
||
[90] validation_0-rmse:0.15182 validation_1-rmse:0.10245
|
||
[91] validation_0-rmse:0.15175 validation_1-rmse:0.10182
|
||
[92] validation_0-rmse:0.15139 validation_1-rmse:0.10138
|
||
[93] validation_0-rmse:0.15105 validation_1-rmse:0.10095
|
||
[94] validation_0-rmse:0.15091 validation_1-rmse:0.10056
|
||
[95] validation_0-rmse:0.15088 validation_1-rmse:0.09964
|
||
[96] validation_0-rmse:0.15065 validation_1-rmse:0.09927
|
||
[97] validation_0-rmse:0.15036 validation_1-rmse:0.09888
|
||
[98] validation_0-rmse:0.15021 validation_1-rmse:0.09852
|
||
[99] validation_0-rmse:0.15004 validation_1-rmse:0.09815
|
||
2025-04-29 01:55:21,007[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Done training BTC/USDT (5.73 secs) --------------------
|
||
2025-04-29 01:55:21,008[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mSaving metadata to disk.
|
||
2025-04-29 01:55:21,504[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mTraining BTC/USDT, 1/2 pairs from 2025-01-01 00:00:00 to 2025-01-31 00:00:00, 4/11 trains
|
||
2025-04-29 01:55:21,505[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find backtesting prediction file at
|
||
/freqtrade/user_data/models/test175/backtesting_predictions/cb_btc_1738281600_prediction.feather
|
||
2025-04-29 01:55:21,510[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：BTC/USDT
|
||
2025-04-29 01:55:21,516[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(28850,)
|
||
2025-04-29 01:55:21,517[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.003572 50.305589
|
||
1 0.003285 50.305589
|
||
2 0.001898 50.305589
|
||
3 0.000484 50.305589
|
||
4 0.001688 50.305589
|
||
2025-04-29 01:55:21,522[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：BTC/USDT
|
||
2025-04-29 01:55:21,528[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(33650,)
|
||
2025-04-29 01:55:21,529[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.003572 50.168798
|
||
1 0.003285 50.168798
|
||
2 0.001898 50.168798
|
||
3 0.000484 50.168798
|
||
4 0.001688 50.168798
|
||
2025-04-29 01:55:21,533[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find model at /freqtrade/user_data/models/test175/sub-train-BTC_1738281600/cb_btc_1738281600
|
||
2025-04-29 01:55:21,534[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Starting training BTC/USDT --------------------
|
||
2025-04-29 01:55:21,550[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mBTC/USDT: dropped 0 training points due to NaNs in populated dataset 14400.
|
||
2025-04-29 01:55:21,550[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Training on data from 2025-01-01 to 2025-01-30 --------------------
|
||
2025-04-29 01:55:26,605[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 75 features
|
||
2025-04-29 01:55:26,606[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 11520 data points
|
||
[0] validation_0-rmse:0.25046 validation_1-rmse:0.26128
|
||
[1] validation_0-rmse:0.24588 validation_1-rmse:0.25570
|
||
[2] validation_0-rmse:0.24156 validation_1-rmse:0.25047
|
||
[3] validation_0-rmse:0.23757 validation_1-rmse:0.24551
|
||
[4] validation_0-rmse:0.23411 validation_1-rmse:0.24075
|
||
[5] validation_0-rmse:0.23029 validation_1-rmse:0.23637
|
||
[6] validation_0-rmse:0.22707 validation_1-rmse:0.23199
|
||
[7] validation_0-rmse:0.22405 validation_1-rmse:0.22801
|
||
[8] validation_0-rmse:0.22083 validation_1-rmse:0.22420
|
||
[9] validation_0-rmse:0.21768 validation_1-rmse:0.22038
|
||
[10] validation_0-rmse:0.21473 validation_1-rmse:0.21674
|
||
[11] validation_0-rmse:0.21187 validation_1-rmse:0.21322
|
||
[12] validation_0-rmse:0.20911 validation_1-rmse:0.20996
|
||
[13] validation_0-rmse:0.20669 validation_1-rmse:0.20679
|
||
[14] validation_0-rmse:0.20441 validation_1-rmse:0.20366
|
||
[15] validation_0-rmse:0.20250 validation_1-rmse:0.20054
|
||
[16] validation_0-rmse:0.20017 validation_1-rmse:0.19757
|
||
[17] validation_0-rmse:0.19804 validation_1-rmse:0.19490
|
||
[18] validation_0-rmse:0.19618 validation_1-rmse:0.19221
|
||
[19] validation_0-rmse:0.19404 validation_1-rmse:0.18954
|
||
[20] validation_0-rmse:0.19209 validation_1-rmse:0.18666
|
||
[21] validation_0-rmse:0.19014 validation_1-rmse:0.18430
|
||
[22] validation_0-rmse:0.18845 validation_1-rmse:0.18197
|
||
[23] validation_0-rmse:0.18653 validation_1-rmse:0.17972
|
||
[24] validation_0-rmse:0.18468 validation_1-rmse:0.17722
|
||
[25] validation_0-rmse:0.18325 validation_1-rmse:0.17491
|
||
[26] validation_0-rmse:0.18152 validation_1-rmse:0.17284
|
||
[27] validation_0-rmse:0.17999 validation_1-rmse:0.17092
|
||
[28] validation_0-rmse:0.17846 validation_1-rmse:0.16892
|
||
[29] validation_0-rmse:0.17696 validation_1-rmse:0.16709
|
||
[30] validation_0-rmse:0.17558 validation_1-rmse:0.16510
|
||
[31] validation_0-rmse:0.17418 validation_1-rmse:0.16335
|
||
[32] validation_0-rmse:0.17293 validation_1-rmse:0.16161
|
||
[33] validation_0-rmse:0.17159 validation_1-rmse:0.16003
|
||
[34] validation_0-rmse:0.17030 validation_1-rmse:0.15831
|
||
[35] validation_0-rmse:0.16907 validation_1-rmse:0.15681
|
||
[36] validation_0-rmse:0.16796 validation_1-rmse:0.15513
|
||
[37] validation_0-rmse:0.16690 validation_1-rmse:0.15349
|
||
[38] validation_0-rmse:0.16580 validation_1-rmse:0.15204
|
||
[39] validation_0-rmse:0.16492 validation_1-rmse:0.15050
|
||
[40] validation_0-rmse:0.16383 validation_1-rmse:0.14918
|
||
[41] validation_0-rmse:0.16281 validation_1-rmse:0.14788
|
||
[42] validation_0-rmse:0.16176 validation_1-rmse:0.14660
|
||
[43] validation_0-rmse:0.16082 validation_1-rmse:0.14516
|
||
[44] validation_0-rmse:0.15990 validation_1-rmse:0.14395
|
||
[45] validation_0-rmse:0.15891 validation_1-rmse:0.14281
|
||
[46] validation_0-rmse:0.15797 validation_1-rmse:0.14168
|
||
[47] validation_0-rmse:0.15712 validation_1-rmse:0.14040
|
||
[48] validation_0-rmse:0.15632 validation_1-rmse:0.13933
|
||
[49] validation_0-rmse:0.15542 validation_1-rmse:0.13821
|
||
[50] validation_0-rmse:0.15458 validation_1-rmse:0.13705
|
||
[51] validation_0-rmse:0.15404 validation_1-rmse:0.13583
|
||
[52] validation_0-rmse:0.15334 validation_1-rmse:0.13483
|
||
[53] validation_0-rmse:0.15256 validation_1-rmse:0.13387
|
||
[54] validation_0-rmse:0.15190 validation_1-rmse:0.13290
|
||
[55] validation_0-rmse:0.15122 validation_1-rmse:0.13174
|
||
[56] validation_0-rmse:0.15065 validation_1-rmse:0.13080
|
||
[57] validation_0-rmse:0.15006 validation_1-rmse:0.12993
|
||
[58] validation_0-rmse:0.14955 validation_1-rmse:0.12897
|
||
[59] validation_0-rmse:0.14893 validation_1-rmse:0.12814
|
||
[60] validation_0-rmse:0.14843 validation_1-rmse:0.12735
|
||
[61] validation_0-rmse:0.14789 validation_1-rmse:0.12642
|
||
[62] validation_0-rmse:0.14718 validation_1-rmse:0.12561
|
||
[63] validation_0-rmse:0.14659 validation_1-rmse:0.12486
|
||
[64] validation_0-rmse:0.14600 validation_1-rmse:0.12397
|
||
[65] validation_0-rmse:0.14547 validation_1-rmse:0.12324
|
||
[66] validation_0-rmse:0.14499 validation_1-rmse:0.12255
|
||
[67] validation_0-rmse:0.14451 validation_1-rmse:0.12188
|
||
[68] validation_0-rmse:0.14393 validation_1-rmse:0.12114
|
||
[69] validation_0-rmse:0.14346 validation_1-rmse:0.12048
|
||
[70] validation_0-rmse:0.14293 validation_1-rmse:0.11974
|
||
[71] validation_0-rmse:0.14256 validation_1-rmse:0.11893
|
||
[72] validation_0-rmse:0.14212 validation_1-rmse:0.11830
|
||
[73] validation_0-rmse:0.14177 validation_1-rmse:0.11748
|
||
[74] validation_0-rmse:0.14134 validation_1-rmse:0.11686
|
||
[75] validation_0-rmse:0.14101 validation_1-rmse:0.11609
|
||
[76] validation_0-rmse:0.14060 validation_1-rmse:0.11536
|
||
[77] validation_0-rmse:0.14020 validation_1-rmse:0.11484
|
||
[78] validation_0-rmse:0.13983 validation_1-rmse:0.11412
|
||
[79] validation_0-rmse:0.13951 validation_1-rmse:0.11357
|
||
[80] validation_0-rmse:0.13928 validation_1-rmse:0.11273
|
||
[81] validation_0-rmse:0.13889 validation_1-rmse:0.11221
|
||
[82] validation_0-rmse:0.13855 validation_1-rmse:0.11166
|
||
[83] validation_0-rmse:0.13824 validation_1-rmse:0.11114
|
||
[84] validation_0-rmse:0.13808 validation_1-rmse:0.11050
|
||
[85] validation_0-rmse:0.13767 validation_1-rmse:0.10998
|
||
[86] validation_0-rmse:0.13731 validation_1-rmse:0.10947
|
||
[87] validation_0-rmse:0.13716 validation_1-rmse:0.10876
|
||
[88] validation_0-rmse:0.13678 validation_1-rmse:0.10832
|
||
[89] validation_0-rmse:0.13659 validation_1-rmse:0.10782
|
||
[90] validation_0-rmse:0.13629 validation_1-rmse:0.10736
|
||
[91] validation_0-rmse:0.13600 validation_1-rmse:0.10662
|
||
[92] validation_0-rmse:0.13577 validation_1-rmse:0.10613
|
||
[93] validation_0-rmse:0.13541 validation_1-rmse:0.10565
|
||
[94] validation_0-rmse:0.13534 validation_1-rmse:0.10501
|
||
[95] validation_0-rmse:0.13511 validation_1-rmse:0.10453
|
||
[96] validation_0-rmse:0.13483 validation_1-rmse:0.10401
|
||
[97] validation_0-rmse:0.13455 validation_1-rmse:0.10362
|
||
[98] validation_0-rmse:0.13425 validation_1-rmse:0.10323
|
||
[99] validation_0-rmse:0.13402 validation_1-rmse:0.10289
|
||
2025-04-29 01:55:27,556[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Done training BTC/USDT (6.02 secs) --------------------
|
||
2025-04-29 01:55:27,557[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mSaving metadata to disk.
|
||
2025-04-29 01:55:28,076[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mTraining BTC/USDT, 1/2 pairs from 2025-01-11 00:00:00 to 2025-02-10 00:00:00, 5/11 trains
|
||
2025-04-29 01:55:28,077[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find backtesting prediction file at
|
||
/freqtrade/user_data/models/test175/backtesting_predictions/cb_btc_1739145600_prediction.feather
|
||
2025-04-29 01:55:28,081[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：BTC/USDT
|
||
2025-04-29 01:55:28,088[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(33650,)
|
||
2025-04-29 01:55:28,089[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.003572 50.168798
|
||
1 0.003285 50.168798
|
||
2 0.001898 50.168798
|
||
3 0.000484 50.168798
|
||
4 0.001688 50.168798
|
||
2025-04-29 01:55:28,094[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：BTC/USDT
|
||
2025-04-29 01:55:28,100[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(38450,)
|
||
2025-04-29 01:55:28,102[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.003572 50.167897
|
||
1 0.003285 50.167897
|
||
2 0.001898 50.167897
|
||
3 0.000484 50.167897
|
||
4 0.001688 50.167897
|
||
2025-04-29 01:55:28,106[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find model at /freqtrade/user_data/models/test175/sub-train-BTC_1739145600/cb_btc_1739145600
|
||
2025-04-29 01:55:28,107[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Starting training BTC/USDT --------------------
|
||
2025-04-29 01:55:28,123[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mBTC/USDT: dropped 0 training points due to NaNs in populated dataset 14400.
|
||
2025-04-29 01:55:28,124[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Training on data from 2025-01-11 to 2025-02-09 --------------------
|
||
2025-04-29 01:55:33,123[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 75 features
|
||
2025-04-29 01:55:33,124[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 11520 data points
|
||
[0] validation_0-rmse:0.26428 validation_1-rmse:0.27464
|
||
[1] validation_0-rmse:0.25911 validation_1-rmse:0.26865
|
||
[2] validation_0-rmse:0.25427 validation_1-rmse:0.26296
|
||
[3] validation_0-rmse:0.24970 validation_1-rmse:0.25748
|
||
[4] validation_0-rmse:0.24525 validation_1-rmse:0.25222
|
||
[5] validation_0-rmse:0.24140 validation_1-rmse:0.24725
|
||
[6] validation_0-rmse:0.23748 validation_1-rmse:0.24264
|
||
[7] validation_0-rmse:0.23368 validation_1-rmse:0.23792
|
||
[8] validation_0-rmse:0.23022 validation_1-rmse:0.23363
|
||
[9] validation_0-rmse:0.22695 validation_1-rmse:0.22945
|
||
[10] validation_0-rmse:0.22381 validation_1-rmse:0.22543
|
||
[11] validation_0-rmse:0.22105 validation_1-rmse:0.22154
|
||
[12] validation_0-rmse:0.21818 validation_1-rmse:0.21797
|
||
[13] validation_0-rmse:0.21526 validation_1-rmse:0.21430
|
||
[14] validation_0-rmse:0.21284 validation_1-rmse:0.21101
|
||
[15] validation_0-rmse:0.21034 validation_1-rmse:0.20769
|
||
[16] validation_0-rmse:0.20802 validation_1-rmse:0.20438
|
||
[17] validation_0-rmse:0.20590 validation_1-rmse:0.20136
|
||
[18] validation_0-rmse:0.20386 validation_1-rmse:0.19837
|
||
[19] validation_0-rmse:0.20219 validation_1-rmse:0.19549
|
||
[20] validation_0-rmse:0.20037 validation_1-rmse:0.19283
|
||
[21] validation_0-rmse:0.19826 validation_1-rmse:0.19005
|
||
[22] validation_0-rmse:0.19657 validation_1-rmse:0.18750
|
||
[23] validation_0-rmse:0.19525 validation_1-rmse:0.18498
|
||
[24] validation_0-rmse:0.19373 validation_1-rmse:0.18267
|
||
[25] validation_0-rmse:0.19197 validation_1-rmse:0.18037
|
||
[26] validation_0-rmse:0.19063 validation_1-rmse:0.17799
|
||
[27] validation_0-rmse:0.18897 validation_1-rmse:0.17587
|
||
[28] validation_0-rmse:0.18765 validation_1-rmse:0.17382
|
||
[29] validation_0-rmse:0.18608 validation_1-rmse:0.17185
|
||
[30] validation_0-rmse:0.18456 validation_1-rmse:0.16992
|
||
[31] validation_0-rmse:0.18340 validation_1-rmse:0.16793
|
||
[32] validation_0-rmse:0.18206 validation_1-rmse:0.16616
|
||
[33] validation_0-rmse:0.18077 validation_1-rmse:0.16437
|
||
[34] validation_0-rmse:0.17960 validation_1-rmse:0.16270
|
||
[35] validation_0-rmse:0.17857 validation_1-rmse:0.16105
|
||
[36] validation_0-rmse:0.17748 validation_1-rmse:0.15925
|
||
[37] validation_0-rmse:0.17649 validation_1-rmse:0.15762
|
||
[38] validation_0-rmse:0.17540 validation_1-rmse:0.15611
|
||
[39] validation_0-rmse:0.17427 validation_1-rmse:0.15469
|
||
[40] validation_0-rmse:0.17312 validation_1-rmse:0.15301
|
||
[41] validation_0-rmse:0.17217 validation_1-rmse:0.15169
|
||
[42] validation_0-rmse:0.17119 validation_1-rmse:0.15037
|
||
[43] validation_0-rmse:0.17030 validation_1-rmse:0.14910
|
||
[44] validation_0-rmse:0.16939 validation_1-rmse:0.14786
|
||
[45] validation_0-rmse:0.16851 validation_1-rmse:0.14660
|
||
[46] validation_0-rmse:0.16793 validation_1-rmse:0.14518
|
||
[47] validation_0-rmse:0.16760 validation_1-rmse:0.14365
|
||
[48] validation_0-rmse:0.16674 validation_1-rmse:0.14258
|
||
[49] validation_0-rmse:0.16588 validation_1-rmse:0.14152
|
||
[50] validation_0-rmse:0.16505 validation_1-rmse:0.14051
|
||
[51] validation_0-rmse:0.16437 validation_1-rmse:0.13919
|
||
[52] validation_0-rmse:0.16361 validation_1-rmse:0.13818
|
||
[53] validation_0-rmse:0.16290 validation_1-rmse:0.13715
|
||
[54] validation_0-rmse:0.16217 validation_1-rmse:0.13621
|
||
[55] validation_0-rmse:0.16207 validation_1-rmse:0.13493
|
||
[56] validation_0-rmse:0.16153 validation_1-rmse:0.13395
|
||
[57] validation_0-rmse:0.16077 validation_1-rmse:0.13302
|
||
[58] validation_0-rmse:0.16021 validation_1-rmse:0.13218
|
||
[59] validation_0-rmse:0.15972 validation_1-rmse:0.13117
|
||
[60] validation_0-rmse:0.15954 validation_1-rmse:0.13003
|
||
[61] validation_0-rmse:0.15896 validation_1-rmse:0.12926
|
||
[62] validation_0-rmse:0.15849 validation_1-rmse:0.12848
|
||
[63] validation_0-rmse:0.15801 validation_1-rmse:0.12770
|
||
[64] validation_0-rmse:0.15737 validation_1-rmse:0.12678
|
||
[65] validation_0-rmse:0.15736 validation_1-rmse:0.12578
|
||
[66] validation_0-rmse:0.15684 validation_1-rmse:0.12506
|
||
[67] validation_0-rmse:0.15638 validation_1-rmse:0.12437
|
||
[68] validation_0-rmse:0.15618 validation_1-rmse:0.12336
|
||
[69] validation_0-rmse:0.15581 validation_1-rmse:0.12269
|
||
[70] validation_0-rmse:0.15537 validation_1-rmse:0.12205
|
||
[71] validation_0-rmse:0.15534 validation_1-rmse:0.12117
|
||
[72] validation_0-rmse:0.15485 validation_1-rmse:0.12049
|
||
[73] validation_0-rmse:0.15465 validation_1-rmse:0.11968
|
||
[74] validation_0-rmse:0.15430 validation_1-rmse:0.11906
|
||
[75] validation_0-rmse:0.15386 validation_1-rmse:0.11840
|
||
[76] validation_0-rmse:0.15353 validation_1-rmse:0.11781
|
||
[77] validation_0-rmse:0.15354 validation_1-rmse:0.11697
|
||
[78] validation_0-rmse:0.15325 validation_1-rmse:0.11630
|
||
[79] validation_0-rmse:0.15282 validation_1-rmse:0.11572
|
||
[80] validation_0-rmse:0.15239 validation_1-rmse:0.11514
|
||
[81] validation_0-rmse:0.15226 validation_1-rmse:0.11431
|
||
[82] validation_0-rmse:0.15189 validation_1-rmse:0.11381
|
||
[83] validation_0-rmse:0.15171 validation_1-rmse:0.11316
|
||
[84] validation_0-rmse:0.15136 validation_1-rmse:0.11270
|
||
[85] validation_0-rmse:0.15112 validation_1-rmse:0.11212
|
||
[86] validation_0-rmse:0.15112 validation_1-rmse:0.11140
|
||
[87] validation_0-rmse:0.15074 validation_1-rmse:0.11094
|
||
[88] validation_0-rmse:0.15048 validation_1-rmse:0.11035
|
||
[89] validation_0-rmse:0.15026 validation_1-rmse:0.10983
|
||
[90] validation_0-rmse:0.14989 validation_1-rmse:0.10938
|
||
[91] validation_0-rmse:0.14955 validation_1-rmse:0.10893
|
||
[92] validation_0-rmse:0.14955 validation_1-rmse:0.10815
|
||
[93] validation_0-rmse:0.14933 validation_1-rmse:0.10765
|
||
[94] validation_0-rmse:0.14908 validation_1-rmse:0.10711
|
||
[95] validation_0-rmse:0.14889 validation_1-rmse:0.10668
|
||
[96] validation_0-rmse:0.14853 validation_1-rmse:0.10627
|
||
[97] validation_0-rmse:0.14853 validation_1-rmse:0.10553
|
||
[98] validation_0-rmse:0.14835 validation_1-rmse:0.10513
|
||
[99] validation_0-rmse:0.14818 validation_1-rmse:0.10475
|
||
2025-04-29 01:55:33,929[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Done training BTC/USDT (5.82 secs) --------------------
|
||
2025-04-29 01:55:33,930[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mSaving metadata to disk.
|
||
2025-04-29 01:55:34,433[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mTraining BTC/USDT, 1/2 pairs from 2025-01-21 00:00:00 to 2025-02-20 00:00:00, 6/11 trains
|
||
2025-04-29 01:55:34,434[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find backtesting prediction file at
|
||
/freqtrade/user_data/models/test175/backtesting_predictions/cb_btc_1740009600_prediction.feather
|
||
2025-04-29 01:55:34,440[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：BTC/USDT
|
||
2025-04-29 01:55:34,447[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(38450,)
|
||
2025-04-29 01:55:34,448[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.003572 50.167897
|
||
1 0.003285 50.167897
|
||
2 0.001898 50.167897
|
||
3 0.000484 50.167897
|
||
4 0.001688 50.167897
|
||
2025-04-29 01:55:34,453[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：BTC/USDT
|
||
2025-04-29 01:55:34,459[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(43250,)
|
||
2025-04-29 01:55:34,461[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.003572 50.107698
|
||
1 0.003285 50.107698
|
||
2 0.001898 50.107698
|
||
3 0.000484 50.107698
|
||
4 0.001688 50.107698
|
||
2025-04-29 01:55:34,465[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find model at /freqtrade/user_data/models/test175/sub-train-BTC_1740009600/cb_btc_1740009600
|
||
2025-04-29 01:55:34,466[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Starting training BTC/USDT --------------------
|
||
2025-04-29 01:55:34,482[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mBTC/USDT: dropped 0 training points due to NaNs in populated dataset 14400.
|
||
2025-04-29 01:55:34,483[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Training on data from 2025-01-21 to 2025-02-19 --------------------
|
||
2025-04-29 01:55:39,369[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 75 features
|
||
2025-04-29 01:55:39,370[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 11520 data points
|
||
[0] validation_0-rmse:0.27166 validation_1-rmse:0.27726
|
||
[1] validation_0-rmse:0.26708 validation_1-rmse:0.27112
|
||
[2] validation_0-rmse:0.26297 validation_1-rmse:0.26523
|
||
[3] validation_0-rmse:0.25865 validation_1-rmse:0.25959
|
||
[4] validation_0-rmse:0.25494 validation_1-rmse:0.25419
|
||
[5] validation_0-rmse:0.25100 validation_1-rmse:0.24913
|
||
[6] validation_0-rmse:0.24763 validation_1-rmse:0.24437
|
||
[7] validation_0-rmse:0.24441 validation_1-rmse:0.23970
|
||
[8] validation_0-rmse:0.24110 validation_1-rmse:0.23527
|
||
[9] validation_0-rmse:0.23801 validation_1-rmse:0.23102
|
||
[10] validation_0-rmse:0.23492 validation_1-rmse:0.22691
|
||
[11] validation_0-rmse:0.23229 validation_1-rmse:0.22297
|
||
[12] validation_0-rmse:0.22956 validation_1-rmse:0.21923
|
||
[13] validation_0-rmse:0.22707 validation_1-rmse:0.21564
|
||
[14] validation_0-rmse:0.22482 validation_1-rmse:0.21221
|
||
[15] validation_0-rmse:0.22237 validation_1-rmse:0.20891
|
||
[16] validation_0-rmse:0.22030 validation_1-rmse:0.20557
|
||
[17] validation_0-rmse:0.21784 validation_1-rmse:0.20243
|
||
[18] validation_0-rmse:0.21591 validation_1-rmse:0.19949
|
||
[19] validation_0-rmse:0.21399 validation_1-rmse:0.19664
|
||
[20] validation_0-rmse:0.21182 validation_1-rmse:0.19378
|
||
[21] validation_0-rmse:0.20992 validation_1-rmse:0.19110
|
||
[22] validation_0-rmse:0.20821 validation_1-rmse:0.18850
|
||
[23] validation_0-rmse:0.20621 validation_1-rmse:0.18597
|
||
[24] validation_0-rmse:0.20490 validation_1-rmse:0.18353
|
||
[25] validation_0-rmse:0.20318 validation_1-rmse:0.18126
|
||
[26] validation_0-rmse:0.20168 validation_1-rmse:0.17896
|
||
[27] validation_0-rmse:0.19992 validation_1-rmse:0.17679
|
||
[28] validation_0-rmse:0.19865 validation_1-rmse:0.17458
|
||
[29] validation_0-rmse:0.19722 validation_1-rmse:0.17257
|
||
[30] validation_0-rmse:0.19571 validation_1-rmse:0.17039
|
||
[31] validation_0-rmse:0.19429 validation_1-rmse:0.16855
|
||
[32] validation_0-rmse:0.19285 validation_1-rmse:0.16664
|
||
[33] validation_0-rmse:0.19141 validation_1-rmse:0.16488
|
||
[34] validation_0-rmse:0.19022 validation_1-rmse:0.16312
|
||
[35] validation_0-rmse:0.18904 validation_1-rmse:0.16145
|
||
[36] validation_0-rmse:0.18832 validation_1-rmse:0.15973
|
||
[37] validation_0-rmse:0.18723 validation_1-rmse:0.15815
|
||
[38] validation_0-rmse:0.18610 validation_1-rmse:0.15653
|
||
[39] validation_0-rmse:0.18504 validation_1-rmse:0.15503
|
||
[40] validation_0-rmse:0.18402 validation_1-rmse:0.15358
|
||
[41] validation_0-rmse:0.18333 validation_1-rmse:0.15193
|
||
[42] validation_0-rmse:0.18213 validation_1-rmse:0.15058
|
||
[43] validation_0-rmse:0.18176 validation_1-rmse:0.14922
|
||
[44] validation_0-rmse:0.18093 validation_1-rmse:0.14792
|
||
[45] validation_0-rmse:0.18017 validation_1-rmse:0.14667
|
||
[46] validation_0-rmse:0.17928 validation_1-rmse:0.14537
|
||
[47] validation_0-rmse:0.17858 validation_1-rmse:0.14420
|
||
[48] validation_0-rmse:0.17770 validation_1-rmse:0.14306
|
||
[49] validation_0-rmse:0.17695 validation_1-rmse:0.14199
|
||
[50] validation_0-rmse:0.17613 validation_1-rmse:0.14094
|
||
[51] validation_0-rmse:0.17545 validation_1-rmse:0.13979
|
||
[52] validation_0-rmse:0.17490 validation_1-rmse:0.13874
|
||
[53] validation_0-rmse:0.17452 validation_1-rmse:0.13755
|
||
[54] validation_0-rmse:0.17383 validation_1-rmse:0.13663
|
||
[55] validation_0-rmse:0.17327 validation_1-rmse:0.13568
|
||
[56] validation_0-rmse:0.17255 validation_1-rmse:0.13477
|
||
[57] validation_0-rmse:0.17192 validation_1-rmse:0.13382
|
||
[58] validation_0-rmse:0.17138 validation_1-rmse:0.13277
|
||
[59] validation_0-rmse:0.17074 validation_1-rmse:0.13188
|
||
[60] validation_0-rmse:0.17026 validation_1-rmse:0.13089
|
||
[61] validation_0-rmse:0.16969 validation_1-rmse:0.13010
|
||
[62] validation_0-rmse:0.16932 validation_1-rmse:0.12904
|
||
[63] validation_0-rmse:0.16888 validation_1-rmse:0.12818
|
||
[64] validation_0-rmse:0.16849 validation_1-rmse:0.12745
|
||
[65] validation_0-rmse:0.16802 validation_1-rmse:0.12639
|
||
[66] validation_0-rmse:0.16747 validation_1-rmse:0.12567
|
||
[67] validation_0-rmse:0.16710 validation_1-rmse:0.12496
|
||
[68] validation_0-rmse:0.16672 validation_1-rmse:0.12426
|
||
[69] validation_0-rmse:0.16635 validation_1-rmse:0.12331
|
||
[70] validation_0-rmse:0.16597 validation_1-rmse:0.12267
|
||
[71] validation_0-rmse:0.16554 validation_1-rmse:0.12196
|
||
[72] validation_0-rmse:0.16522 validation_1-rmse:0.12121
|
||
[73] validation_0-rmse:0.16481 validation_1-rmse:0.12054
|
||
[74] validation_0-rmse:0.16442 validation_1-rmse:0.11996
|
||
[75] validation_0-rmse:0.16409 validation_1-rmse:0.11939
|
||
[76] validation_0-rmse:0.16375 validation_1-rmse:0.11878
|
||
[77] validation_0-rmse:0.16275 validation_1-rmse:0.11753
|
||
[78] validation_0-rmse:0.16248 validation_1-rmse:0.11692
|
||
[79] validation_0-rmse:0.16215 validation_1-rmse:0.11619
|
||
[80] validation_0-rmse:0.16187 validation_1-rmse:0.11564
|
||
[81] validation_0-rmse:0.16150 validation_1-rmse:0.11493
|
||
[82] validation_0-rmse:0.16123 validation_1-rmse:0.11438
|
||
[83] validation_0-rmse:0.16109 validation_1-rmse:0.11358
|
||
[84] validation_0-rmse:0.16065 validation_1-rmse:0.11304
|
||
[85] validation_0-rmse:0.16038 validation_1-rmse:0.11256
|
||
[86] validation_0-rmse:0.16022 validation_1-rmse:0.11205
|
||
[87] validation_0-rmse:0.16007 validation_1-rmse:0.11158
|
||
[88] validation_0-rmse:0.15945 validation_1-rmse:0.11054
|
||
[89] validation_0-rmse:0.15912 validation_1-rmse:0.11008
|
||
[90] validation_0-rmse:0.15894 validation_1-rmse:0.10937
|
||
[91] validation_0-rmse:0.15868 validation_1-rmse:0.10886
|
||
[92] validation_0-rmse:0.15845 validation_1-rmse:0.10844
|
||
[93] validation_0-rmse:0.15817 validation_1-rmse:0.10803
|
||
[94] validation_0-rmse:0.15789 validation_1-rmse:0.10758
|
||
[95] validation_0-rmse:0.15772 validation_1-rmse:0.10721
|
||
[96] validation_0-rmse:0.15763 validation_1-rmse:0.10676
|
||
[97] validation_0-rmse:0.15751 validation_1-rmse:0.10609
|
||
[98] validation_0-rmse:0.15731 validation_1-rmse:0.10574
|
||
[99] validation_0-rmse:0.15738 validation_1-rmse:0.10531
|
||
2025-04-29 01:55:40,266[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Done training BTC/USDT (5.80 secs) --------------------
|
||
2025-04-29 01:55:40,267[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mSaving metadata to disk.
|
||
2025-04-29 01:55:40,801[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mTraining BTC/USDT, 1/2 pairs from 2025-01-31 00:00:00 to 2025-03-02 00:00:00, 7/11 trains
|
||
2025-04-29 01:55:40,802[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find backtesting prediction file at
|
||
/freqtrade/user_data/models/test175/backtesting_predictions/cb_btc_1740873600_prediction.feather
|
||
2025-04-29 01:55:40,807[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：BTC/USDT
|
||
2025-04-29 01:55:40,814[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(43250,)
|
||
2025-04-29 01:55:40,816[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.003572 50.107698
|
||
1 0.003285 50.107698
|
||
2 0.001898 50.107698
|
||
3 0.000484 50.107698
|
||
4 0.001688 50.107698
|
||
2025-04-29 01:55:40,821[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：BTC/USDT
|
||
2025-04-29 01:55:40,827[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(48050,)
|
||
2025-04-29 01:55:40,829[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.003572 50.079166
|
||
1 0.003285 50.079166
|
||
2 0.001898 50.079166
|
||
3 0.000484 50.079166
|
||
4 0.001688 50.079166
|
||
2025-04-29 01:55:40,833[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find model at /freqtrade/user_data/models/test175/sub-train-BTC_1740873600/cb_btc_1740873600
|
||
2025-04-29 01:55:40,834[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Starting training BTC/USDT --------------------
|
||
2025-04-29 01:55:40,849[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mBTC/USDT: dropped 0 training points due to NaNs in populated dataset 14400.
|
||
2025-04-29 01:55:40,850[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Training on data from 2025-01-31 to 2025-03-01 --------------------
|
||
2025-04-29 01:55:45,643[90m - [0m[95mdatasieve.pipeline[0m[90m - [0m[34mINFO[0m[90m - [0mDI tossed 2275 predictions for being too far from training data.
|
||
2025-04-29 01:55:45,646[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 75 features
|
||
2025-04-29 01:55:45,647[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 11520 data points
|
||
[0] validation_0-rmse:0.27618 validation_1-rmse:0.28955
|
||
[1] validation_0-rmse:0.27005 validation_1-rmse:0.28323
|
||
[2] validation_0-rmse:0.26414 validation_1-rmse:0.27722
|
||
[3] validation_0-rmse:0.25897 validation_1-rmse:0.27161
|
||
[4] validation_0-rmse:0.25425 validation_1-rmse:0.26622
|
||
[5] validation_0-rmse:0.24886 validation_1-rmse:0.26100
|
||
[6] validation_0-rmse:0.24522 validation_1-rmse:0.25606
|
||
[7] validation_0-rmse:0.24137 validation_1-rmse:0.25132
|
||
[8] validation_0-rmse:0.23765 validation_1-rmse:0.24687
|
||
[9] validation_0-rmse:0.23323 validation_1-rmse:0.24254
|
||
[10] validation_0-rmse:0.22900 validation_1-rmse:0.23827
|
||
[11] validation_0-rmse:0.22588 validation_1-rmse:0.23450
|
||
[12] validation_0-rmse:0.22228 validation_1-rmse:0.23055
|
||
[13] validation_0-rmse:0.21872 validation_1-rmse:0.22698
|
||
[14] validation_0-rmse:0.21492 validation_1-rmse:0.22348
|
||
[15] validation_0-rmse:0.21329 validation_1-rmse:0.22011
|
||
[16] validation_0-rmse:0.21024 validation_1-rmse:0.21686
|
||
[17] validation_0-rmse:0.20823 validation_1-rmse:0.21380
|
||
[18] validation_0-rmse:0.20544 validation_1-rmse:0.21075
|
||
[19] validation_0-rmse:0.20415 validation_1-rmse:0.20787
|
||
[20] validation_0-rmse:0.20143 validation_1-rmse:0.20515
|
||
[21] validation_0-rmse:0.19917 validation_1-rmse:0.20247
|
||
[22] validation_0-rmse:0.19745 validation_1-rmse:0.19994
|
||
[23] validation_0-rmse:0.19508 validation_1-rmse:0.19746
|
||
[24] validation_0-rmse:0.19300 validation_1-rmse:0.19490
|
||
[25] validation_0-rmse:0.19085 validation_1-rmse:0.19254
|
||
[26] validation_0-rmse:0.18898 validation_1-rmse:0.19031
|
||
[27] validation_0-rmse:0.18720 validation_1-rmse:0.18794
|
||
[28] validation_0-rmse:0.18503 validation_1-rmse:0.18584
|
||
[29] validation_0-rmse:0.18314 validation_1-rmse:0.18382
|
||
[30] validation_0-rmse:0.18132 validation_1-rmse:0.18164
|
||
[31] validation_0-rmse:0.17984 validation_1-rmse:0.17967
|
||
[32] validation_0-rmse:0.17818 validation_1-rmse:0.17779
|
||
[33] validation_0-rmse:0.17637 validation_1-rmse:0.17572
|
||
[34] validation_0-rmse:0.17473 validation_1-rmse:0.17399
|
||
[35] validation_0-rmse:0.17338 validation_1-rmse:0.17229
|
||
[36] validation_0-rmse:0.17253 validation_1-rmse:0.17055
|
||
[37] validation_0-rmse:0.17149 validation_1-rmse:0.16883
|
||
[38] validation_0-rmse:0.17030 validation_1-rmse:0.16730
|
||
[39] validation_0-rmse:0.16950 validation_1-rmse:0.16556
|
||
[40] validation_0-rmse:0.16815 validation_1-rmse:0.16412
|
||
[41] validation_0-rmse:0.16704 validation_1-rmse:0.16268
|
||
[42] validation_0-rmse:0.16617 validation_1-rmse:0.16128
|
||
[43] validation_0-rmse:0.16542 validation_1-rmse:0.15970
|
||
[44] validation_0-rmse:0.16438 validation_1-rmse:0.15840
|
||
[45] validation_0-rmse:0.16356 validation_1-rmse:0.15692
|
||
[46] validation_0-rmse:0.16239 validation_1-rmse:0.15574
|
||
[47] validation_0-rmse:0.16153 validation_1-rmse:0.15456
|
||
[48] validation_0-rmse:0.16076 validation_1-rmse:0.15314
|
||
[49] validation_0-rmse:0.15998 validation_1-rmse:0.15201
|
||
[50] validation_0-rmse:0.15946 validation_1-rmse:0.15084
|
||
[51] validation_0-rmse:0.15891 validation_1-rmse:0.14954
|
||
[52] validation_0-rmse:0.15834 validation_1-rmse:0.14847
|
||
[53] validation_0-rmse:0.15764 validation_1-rmse:0.14722
|
||
[54] validation_0-rmse:0.15707 validation_1-rmse:0.14623
|
||
[55] validation_0-rmse:0.15653 validation_1-rmse:0.14527
|
||
[56] validation_0-rmse:0.15583 validation_1-rmse:0.14434
|
||
[57] validation_0-rmse:0.15549 validation_1-rmse:0.14329
|
||
[58] validation_0-rmse:0.15507 validation_1-rmse:0.14241
|
||
[59] validation_0-rmse:0.15468 validation_1-rmse:0.14053
|
||
[60] validation_0-rmse:0.15398 validation_1-rmse:0.13968
|
||
[61] validation_0-rmse:0.15390 validation_1-rmse:0.13864
|
||
[62] validation_0-rmse:0.15360 validation_1-rmse:0.13783
|
||
[63] validation_0-rmse:0.15368 validation_1-rmse:0.13704
|
||
[64] validation_0-rmse:0.15338 validation_1-rmse:0.13624
|
||
[65] validation_0-rmse:0.15273 validation_1-rmse:0.13551
|
||
[66] validation_0-rmse:0.15238 validation_1-rmse:0.13451
|
||
[67] validation_0-rmse:0.15212 validation_1-rmse:0.13290
|
||
[68] validation_0-rmse:0.15191 validation_1-rmse:0.13217
|
||
[69] validation_0-rmse:0.15138 validation_1-rmse:0.13143
|
||
[70] validation_0-rmse:0.15090 validation_1-rmse:0.13071
|
||
[71] validation_0-rmse:0.15082 validation_1-rmse:0.13001
|
||
[72] validation_0-rmse:0.14988 validation_1-rmse:0.12847
|
||
[73] validation_0-rmse:0.14953 validation_1-rmse:0.12783
|
||
[74] validation_0-rmse:0.14924 validation_1-rmse:0.12709
|
||
[75] validation_0-rmse:0.14926 validation_1-rmse:0.12578
|
||
[76] validation_0-rmse:0.14903 validation_1-rmse:0.12499
|
||
[77] validation_0-rmse:0.14851 validation_1-rmse:0.12435
|
||
[78] validation_0-rmse:0.14808 validation_1-rmse:0.12368
|
||
[79] validation_0-rmse:0.14768 validation_1-rmse:0.12305
|
||
[80] validation_0-rmse:0.14741 validation_1-rmse:0.12217
|
||
[81] validation_0-rmse:0.14712 validation_1-rmse:0.12165
|
||
[82] validation_0-rmse:0.14696 validation_1-rmse:0.12110
|
||
[83] validation_0-rmse:0.14686 validation_1-rmse:0.12045
|
||
[84] validation_0-rmse:0.14648 validation_1-rmse:0.11984
|
||
[85] validation_0-rmse:0.14623 validation_1-rmse:0.11923
|
||
[86] validation_0-rmse:0.14606 validation_1-rmse:0.11869
|
||
[87] validation_0-rmse:0.14583 validation_1-rmse:0.11754
|
||
[88] validation_0-rmse:0.14572 validation_1-rmse:0.11710
|
||
[89] validation_0-rmse:0.14537 validation_1-rmse:0.11660
|
||
[90] validation_0-rmse:0.14510 validation_1-rmse:0.11614
|
||
[91] validation_0-rmse:0.14516 validation_1-rmse:0.11514
|
||
[92] validation_0-rmse:0.14480 validation_1-rmse:0.11455
|
||
[93] validation_0-rmse:0.14475 validation_1-rmse:0.11414
|
||
[94] validation_0-rmse:0.14443 validation_1-rmse:0.11374
|
||
[95] validation_0-rmse:0.14409 validation_1-rmse:0.11331
|
||
[96] validation_0-rmse:0.14391 validation_1-rmse:0.11240
|
||
[97] validation_0-rmse:0.14303 validation_1-rmse:0.11154
|
||
[98] validation_0-rmse:0.14274 validation_1-rmse:0.11114
|
||
[99] validation_0-rmse:0.14246 validation_1-rmse:0.11071
|
||
2025-04-29 01:55:46,544[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Done training BTC/USDT (5.71 secs) --------------------
|
||
2025-04-29 01:55:46,544[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mSaving metadata to disk.
|
||
2025-04-29 01:55:47,092[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mTraining BTC/USDT, 1/2 pairs from 2025-02-10 00:00:00 to 2025-03-12 00:00:00, 8/11 trains
|
||
2025-04-29 01:55:47,092[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find backtesting prediction file at
|
||
/freqtrade/user_data/models/test175/backtesting_predictions/cb_btc_1741737600_prediction.feather
|
||
2025-04-29 01:55:47,100[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：BTC/USDT
|
||
2025-04-29 01:55:47,107[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(48050,)
|
||
2025-04-29 01:55:47,109[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.003572 50.079166
|
||
1 0.003285 50.079166
|
||
2 0.001898 50.079166
|
||
3 0.000484 50.079166
|
||
4 0.001688 50.079166
|
||
2025-04-29 01:55:47,115[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：BTC/USDT
|
||
2025-04-29 01:55:47,122[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(52850,)
|
||
2025-04-29 01:55:47,123[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.003572 50.102027
|
||
1 0.003285 50.102027
|
||
2 0.001898 50.102027
|
||
3 0.000484 50.102027
|
||
4 0.001688 50.102027
|
||
2025-04-29 01:55:47,128[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find model at /freqtrade/user_data/models/test175/sub-train-BTC_1741737600/cb_btc_1741737600
|
||
2025-04-29 01:55:47,129[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Starting training BTC/USDT --------------------
|
||
2025-04-29 01:55:47,145[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mBTC/USDT: dropped 0 training points due to NaNs in populated dataset 14400.
|
||
2025-04-29 01:55:47,145[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Training on data from 2025-02-10 to 2025-03-11 --------------------
|
||
2025-04-29 01:55:51,987[90m - [0m[95mdatasieve.pipeline[0m[90m - [0m[34mINFO[0m[90m - [0mDI tossed 18 predictions for being too far from training data.
|
||
2025-04-29 01:55:51,989[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 75 features
|
||
2025-04-29 01:55:51,989[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 11520 data points
|
||
[0] validation_0-rmse:0.26738 validation_1-rmse:0.26816
|
||
[1] validation_0-rmse:0.26268 validation_1-rmse:0.26258
|
||
[2] validation_0-rmse:0.25808 validation_1-rmse:0.25725
|
||
[3] validation_0-rmse:0.25395 validation_1-rmse:0.25212
|
||
[4] validation_0-rmse:0.24987 validation_1-rmse:0.24723
|
||
[5] validation_0-rmse:0.24633 validation_1-rmse:0.24263
|
||
[6] validation_0-rmse:0.24308 validation_1-rmse:0.23814
|
||
[7] validation_0-rmse:0.23959 validation_1-rmse:0.23402
|
||
[8] validation_0-rmse:0.23612 validation_1-rmse:0.22977
|
||
[9] validation_0-rmse:0.23322 validation_1-rmse:0.22577
|
||
[10] validation_0-rmse:0.23012 validation_1-rmse:0.22207
|
||
[11] validation_0-rmse:0.22730 validation_1-rmse:0.21843
|
||
[12] validation_0-rmse:0.22453 validation_1-rmse:0.21489
|
||
[13] validation_0-rmse:0.22236 validation_1-rmse:0.21145
|
||
[14] validation_0-rmse:0.22000 validation_1-rmse:0.20841
|
||
[15] validation_0-rmse:0.21744 validation_1-rmse:0.20529
|
||
[16] validation_0-rmse:0.21556 validation_1-rmse:0.20225
|
||
[17] validation_0-rmse:0.21331 validation_1-rmse:0.19932
|
||
[18] validation_0-rmse:0.21171 validation_1-rmse:0.19643
|
||
[19] validation_0-rmse:0.21051 validation_1-rmse:0.19382
|
||
[20] validation_0-rmse:0.20880 validation_1-rmse:0.19128
|
||
[21] validation_0-rmse:0.20711 validation_1-rmse:0.18854
|
||
[22] validation_0-rmse:0.20538 validation_1-rmse:0.18612
|
||
[23] validation_0-rmse:0.20350 validation_1-rmse:0.18381
|
||
[24] validation_0-rmse:0.20234 validation_1-rmse:0.18144
|
||
[25] validation_0-rmse:0.20081 validation_1-rmse:0.17917
|
||
[26] validation_0-rmse:0.19918 validation_1-rmse:0.17714
|
||
[27] validation_0-rmse:0.19804 validation_1-rmse:0.17496
|
||
[28] validation_0-rmse:0.19662 validation_1-rmse:0.17304
|
||
[29] validation_0-rmse:0.19580 validation_1-rmse:0.17082
|
||
[30] validation_0-rmse:0.19454 validation_1-rmse:0.16901
|
||
[31] validation_0-rmse:0.19331 validation_1-rmse:0.16691
|
||
[32] validation_0-rmse:0.19234 validation_1-rmse:0.16517
|
||
[33] validation_0-rmse:0.19118 validation_1-rmse:0.16354
|
||
[34] validation_0-rmse:0.19024 validation_1-rmse:0.16175
|
||
[35] validation_0-rmse:0.18915 validation_1-rmse:0.16020
|
||
[36] validation_0-rmse:0.18823 validation_1-rmse:0.15865
|
||
[37] validation_0-rmse:0.18756 validation_1-rmse:0.15712
|
||
[38] validation_0-rmse:0.18698 validation_1-rmse:0.15541
|
||
[39] validation_0-rmse:0.18643 validation_1-rmse:0.15395
|
||
[40] validation_0-rmse:0.18562 validation_1-rmse:0.15265
|
||
[41] validation_0-rmse:0.18516 validation_1-rmse:0.15124
|
||
[42] validation_0-rmse:0.18421 validation_1-rmse:0.14979
|
||
[43] validation_0-rmse:0.18360 validation_1-rmse:0.14850
|
||
[44] validation_0-rmse:0.18275 validation_1-rmse:0.14733
|
||
[45] validation_0-rmse:0.18253 validation_1-rmse:0.14597
|
||
[46] validation_0-rmse:0.18183 validation_1-rmse:0.14470
|
||
[47] validation_0-rmse:0.18111 validation_1-rmse:0.14361
|
||
[48] validation_0-rmse:0.18060 validation_1-rmse:0.14243
|
||
[49] validation_0-rmse:0.18001 validation_1-rmse:0.14134
|
||
[50] validation_0-rmse:0.17953 validation_1-rmse:0.14030
|
||
[51] validation_0-rmse:0.17899 validation_1-rmse:0.13927
|
||
[52] validation_0-rmse:0.17830 validation_1-rmse:0.13817
|
||
[53] validation_0-rmse:0.17770 validation_1-rmse:0.13720
|
||
[54] validation_0-rmse:0.17702 validation_1-rmse:0.13629
|
||
[55] validation_0-rmse:0.17650 validation_1-rmse:0.13531
|
||
[56] validation_0-rmse:0.17625 validation_1-rmse:0.13440
|
||
[57] validation_0-rmse:0.17580 validation_1-rmse:0.13352
|
||
[58] validation_0-rmse:0.17530 validation_1-rmse:0.13268
|
||
[59] validation_0-rmse:0.17486 validation_1-rmse:0.13166
|
||
[60] validation_0-rmse:0.17438 validation_1-rmse:0.13071
|
||
[61] validation_0-rmse:0.17387 validation_1-rmse:0.12991
|
||
[62] validation_0-rmse:0.17356 validation_1-rmse:0.12914
|
||
[63] validation_0-rmse:0.17311 validation_1-rmse:0.12839
|
||
[64] validation_0-rmse:0.17265 validation_1-rmse:0.12767
|
||
[65] validation_0-rmse:0.17209 validation_1-rmse:0.12682
|
||
[66] validation_0-rmse:0.17197 validation_1-rmse:0.12595
|
||
[67] validation_0-rmse:0.17157 validation_1-rmse:0.12506
|
||
[68] validation_0-rmse:0.17131 validation_1-rmse:0.12439
|
||
[69] validation_0-rmse:0.17088 validation_1-rmse:0.12371
|
||
[70] validation_0-rmse:0.17038 validation_1-rmse:0.12298
|
||
[71] validation_0-rmse:0.17009 validation_1-rmse:0.12235
|
||
[72] validation_0-rmse:0.16979 validation_1-rmse:0.12172
|
||
[73] validation_0-rmse:0.16934 validation_1-rmse:0.12118
|
||
[74] validation_0-rmse:0.16902 validation_1-rmse:0.12050
|
||
[75] validation_0-rmse:0.16881 validation_1-rmse:0.11988
|
||
[76] validation_0-rmse:0.16846 validation_1-rmse:0.11928
|
||
[77] validation_0-rmse:0.16809 validation_1-rmse:0.11846
|
||
[78] validation_0-rmse:0.16774 validation_1-rmse:0.11791
|
||
[79] validation_0-rmse:0.16745 validation_1-rmse:0.11738
|
||
[80] validation_0-rmse:0.16717 validation_1-rmse:0.11683
|
||
[81] validation_0-rmse:0.16702 validation_1-rmse:0.11599
|
||
[82] validation_0-rmse:0.16677 validation_1-rmse:0.11535
|
||
[83] validation_0-rmse:0.16649 validation_1-rmse:0.11468
|
||
[84] validation_0-rmse:0.16605 validation_1-rmse:0.11415
|
||
[85] validation_0-rmse:0.16591 validation_1-rmse:0.11350
|
||
[86] validation_0-rmse:0.16560 validation_1-rmse:0.11303
|
||
[87] validation_0-rmse:0.16531 validation_1-rmse:0.11259
|
||
[88] validation_0-rmse:0.16504 validation_1-rmse:0.11185
|
||
[89] validation_0-rmse:0.16485 validation_1-rmse:0.11134
|
||
[90] validation_0-rmse:0.16463 validation_1-rmse:0.11083
|
||
[91] validation_0-rmse:0.16436 validation_1-rmse:0.11041
|
||
[92] validation_0-rmse:0.16412 validation_1-rmse:0.10988
|
||
[93] validation_0-rmse:0.16388 validation_1-rmse:0.10942
|
||
[94] validation_0-rmse:0.16391 validation_1-rmse:0.10881
|
||
[95] validation_0-rmse:0.16357 validation_1-rmse:0.10838
|
||
[96] validation_0-rmse:0.16358 validation_1-rmse:0.10796
|
||
[97] validation_0-rmse:0.16338 validation_1-rmse:0.10756
|
||
[98] validation_0-rmse:0.16339 validation_1-rmse:0.10688
|
||
[99] validation_0-rmse:0.16321 validation_1-rmse:0.10649
|
||
2025-04-29 01:55:52,741[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Done training BTC/USDT (5.61 secs) --------------------
|
||
2025-04-29 01:55:52,742[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mSaving metadata to disk.
|
||
2025-04-29 01:55:53,285[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mTraining BTC/USDT, 1/2 pairs from 2025-02-20 00:00:00 to 2025-03-22 00:00:00, 9/11 trains
|
||
2025-04-29 01:55:53,286[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find backtesting prediction file at
|
||
/freqtrade/user_data/models/test175/backtesting_predictions/cb_btc_1742601600_prediction.feather
|
||
2025-04-29 01:55:53,291[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：BTC/USDT
|
||
2025-04-29 01:55:53,298[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(52850,)
|
||
2025-04-29 01:55:53,300[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.003572 50.102027
|
||
1 0.003285 50.102027
|
||
2 0.001898 50.102027
|
||
3 0.000484 50.102027
|
||
4 0.001688 50.102027
|
||
2025-04-29 01:55:53,309[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：BTC/USDT
|
||
2025-04-29 01:55:53,316[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(57650,)
|
||
2025-04-29 01:55:53,318[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.003572 50.079967
|
||
1 0.003285 50.079967
|
||
2 0.001898 50.079967
|
||
3 0.000484 50.079967
|
||
4 0.001688 50.079967
|
||
2025-04-29 01:55:53,322[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find model at /freqtrade/user_data/models/test175/sub-train-BTC_1742601600/cb_btc_1742601600
|
||
2025-04-29 01:55:53,323[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Starting training BTC/USDT --------------------
|
||
2025-04-29 01:55:53,339[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mBTC/USDT: dropped 0 training points due to NaNs in populated dataset 14400.
|
||
2025-04-29 01:55:53,340[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Training on data from 2025-02-20 to 2025-03-21 --------------------
|
||
2025-04-29 01:55:58,184[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 75 features
|
||
2025-04-29 01:55:58,185[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 11520 data points
|
||
[0] validation_0-rmse:0.26992 validation_1-rmse:0.26756
|
||
[1] validation_0-rmse:0.26551 validation_1-rmse:0.26201
|
||
[2] validation_0-rmse:0.26111 validation_1-rmse:0.25656
|
||
[3] validation_0-rmse:0.25690 validation_1-rmse:0.25154
|
||
[4] validation_0-rmse:0.25291 validation_1-rmse:0.24683
|
||
[5] validation_0-rmse:0.24933 validation_1-rmse:0.24228
|
||
[6] validation_0-rmse:0.24598 validation_1-rmse:0.23796
|
||
[7] validation_0-rmse:0.24252 validation_1-rmse:0.23392
|
||
[8] validation_0-rmse:0.23953 validation_1-rmse:0.22978
|
||
[9] validation_0-rmse:0.23634 validation_1-rmse:0.22592
|
||
[10] validation_0-rmse:0.23330 validation_1-rmse:0.22229
|
||
[11] validation_0-rmse:0.23059 validation_1-rmse:0.21875
|
||
[12] validation_0-rmse:0.22799 validation_1-rmse:0.21546
|
||
[13] validation_0-rmse:0.22565 validation_1-rmse:0.21212
|
||
[14] validation_0-rmse:0.22329 validation_1-rmse:0.20904
|
||
[15] validation_0-rmse:0.22111 validation_1-rmse:0.20604
|
||
[16] validation_0-rmse:0.21894 validation_1-rmse:0.20318
|
||
[17] validation_0-rmse:0.21715 validation_1-rmse:0.20021
|
||
[18] validation_0-rmse:0.21499 validation_1-rmse:0.19735
|
||
[19] validation_0-rmse:0.21283 validation_1-rmse:0.19480
|
||
[20] validation_0-rmse:0.21109 validation_1-rmse:0.19209
|
||
[21] validation_0-rmse:0.20904 validation_1-rmse:0.18969
|
||
[22] validation_0-rmse:0.20762 validation_1-rmse:0.18718
|
||
[23] validation_0-rmse:0.20580 validation_1-rmse:0.18498
|
||
[24] validation_0-rmse:0.20434 validation_1-rmse:0.18262
|
||
[25] validation_0-rmse:0.20267 validation_1-rmse:0.18048
|
||
[26] validation_0-rmse:0.20106 validation_1-rmse:0.17844
|
||
[27] validation_0-rmse:0.19945 validation_1-rmse:0.17647
|
||
[28] validation_0-rmse:0.19813 validation_1-rmse:0.17443
|
||
[29] validation_0-rmse:0.19669 validation_1-rmse:0.17264
|
||
[30] validation_0-rmse:0.19541 validation_1-rmse:0.17054
|
||
[31] validation_0-rmse:0.19401 validation_1-rmse:0.16881
|
||
[32] validation_0-rmse:0.19263 validation_1-rmse:0.16719
|
||
[33] validation_0-rmse:0.19134 validation_1-rmse:0.16560
|
||
[34] validation_0-rmse:0.18996 validation_1-rmse:0.16365
|
||
[35] validation_0-rmse:0.18864 validation_1-rmse:0.16211
|
||
[36] validation_0-rmse:0.18752 validation_1-rmse:0.16069
|
||
[37] validation_0-rmse:0.18652 validation_1-rmse:0.15898
|
||
[38] validation_0-rmse:0.18540 validation_1-rmse:0.15751
|
||
[39] validation_0-rmse:0.18429 validation_1-rmse:0.15616
|
||
[40] validation_0-rmse:0.18317 validation_1-rmse:0.15475
|
||
[41] validation_0-rmse:0.18215 validation_1-rmse:0.15324
|
||
[42] validation_0-rmse:0.18119 validation_1-rmse:0.15199
|
||
[43] validation_0-rmse:0.18008 validation_1-rmse:0.15057
|
||
[44] validation_0-rmse:0.17926 validation_1-rmse:0.14942
|
||
[45] validation_0-rmse:0.17841 validation_1-rmse:0.14813
|
||
[46] validation_0-rmse:0.17755 validation_1-rmse:0.14700
|
||
[47] validation_0-rmse:0.17672 validation_1-rmse:0.14572
|
||
[48] validation_0-rmse:0.17586 validation_1-rmse:0.14466
|
||
[49] validation_0-rmse:0.17511 validation_1-rmse:0.14354
|
||
[50] validation_0-rmse:0.17440 validation_1-rmse:0.14236
|
||
[51] validation_0-rmse:0.17354 validation_1-rmse:0.14130
|
||
[52] validation_0-rmse:0.17281 validation_1-rmse:0.14035
|
||
[53] validation_0-rmse:0.17210 validation_1-rmse:0.13942
|
||
[54] validation_0-rmse:0.17136 validation_1-rmse:0.13843
|
||
[55] validation_0-rmse:0.17045 validation_1-rmse:0.13715
|
||
[56] validation_0-rmse:0.16971 validation_1-rmse:0.13629
|
||
[57] validation_0-rmse:0.16900 validation_1-rmse:0.13511
|
||
[58] validation_0-rmse:0.16834 validation_1-rmse:0.13426
|
||
[59] validation_0-rmse:0.16763 validation_1-rmse:0.13323
|
||
[60] validation_0-rmse:0.16702 validation_1-rmse:0.13242
|
||
[61] validation_0-rmse:0.16639 validation_1-rmse:0.13164
|
||
[62] validation_0-rmse:0.16586 validation_1-rmse:0.13079
|
||
[63] validation_0-rmse:0.16527 validation_1-rmse:0.13006
|
||
[64] validation_0-rmse:0.16458 validation_1-rmse:0.12914
|
||
[65] validation_0-rmse:0.16396 validation_1-rmse:0.12841
|
||
[66] validation_0-rmse:0.16332 validation_1-rmse:0.12742
|
||
[67] validation_0-rmse:0.16290 validation_1-rmse:0.12665
|
||
[68] validation_0-rmse:0.16248 validation_1-rmse:0.12584
|
||
[69] validation_0-rmse:0.16192 validation_1-rmse:0.12503
|
||
[70] validation_0-rmse:0.16128 validation_1-rmse:0.12435
|
||
[71] validation_0-rmse:0.16078 validation_1-rmse:0.12371
|
||
[72] validation_0-rmse:0.16032 validation_1-rmse:0.12311
|
||
[73] validation_0-rmse:0.15998 validation_1-rmse:0.12241
|
||
[74] validation_0-rmse:0.15959 validation_1-rmse:0.12184
|
||
[75] validation_0-rmse:0.15922 validation_1-rmse:0.12121
|
||
[76] validation_0-rmse:0.15877 validation_1-rmse:0.12064
|
||
[77] validation_0-rmse:0.15830 validation_1-rmse:0.11981
|
||
[78] validation_0-rmse:0.15791 validation_1-rmse:0.11927
|
||
[79] validation_0-rmse:0.15751 validation_1-rmse:0.11859
|
||
[80] validation_0-rmse:0.15716 validation_1-rmse:0.11795
|
||
[81] validation_0-rmse:0.15680 validation_1-rmse:0.11740
|
||
[82] validation_0-rmse:0.15624 validation_1-rmse:0.11683
|
||
[83] validation_0-rmse:0.15578 validation_1-rmse:0.11632
|
||
[84] validation_0-rmse:0.15553 validation_1-rmse:0.11586
|
||
[85] validation_0-rmse:0.15471 validation_1-rmse:0.11513
|
||
[86] validation_0-rmse:0.15444 validation_1-rmse:0.11465
|
||
[87] validation_0-rmse:0.15417 validation_1-rmse:0.11406
|
||
[88] validation_0-rmse:0.15387 validation_1-rmse:0.11359
|
||
[89] validation_0-rmse:0.15359 validation_1-rmse:0.11319
|
||
[90] validation_0-rmse:0.15332 validation_1-rmse:0.11269
|
||
[91] validation_0-rmse:0.15301 validation_1-rmse:0.11221
|
||
[92] validation_0-rmse:0.15258 validation_1-rmse:0.11176
|
||
[93] validation_0-rmse:0.15231 validation_1-rmse:0.11135
|
||
[94] validation_0-rmse:0.15202 validation_1-rmse:0.11093
|
||
[95] validation_0-rmse:0.15185 validation_1-rmse:0.11041
|
||
[96] validation_0-rmse:0.15173 validation_1-rmse:0.11000
|
||
[97] validation_0-rmse:0.15150 validation_1-rmse:0.10961
|
||
[98] validation_0-rmse:0.15114 validation_1-rmse:0.10917
|
||
[99] validation_0-rmse:0.15096 validation_1-rmse:0.10882
|
||
2025-04-29 01:55:59,097[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Done training BTC/USDT (5.77 secs) --------------------
|
||
2025-04-29 01:55:59,098[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mSaving metadata to disk.
|
||
2025-04-29 01:55:59,706[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mTraining BTC/USDT, 1/2 pairs from 2025-03-02 00:00:00 to 2025-04-01 00:00:00, 10/11 trains
|
||
2025-04-29 01:55:59,706[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find backtesting prediction file at
|
||
/freqtrade/user_data/models/test175/backtesting_predictions/cb_btc_1743465600_prediction.feather
|
||
2025-04-29 01:55:59,715[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：BTC/USDT
|
||
2025-04-29 01:55:59,723[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(57650,)
|
||
2025-04-29 01:55:59,725[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.003572 50.079967
|
||
1 0.003285 50.079967
|
||
2 0.001898 50.079967
|
||
3 0.000484 50.079967
|
||
4 0.001688 50.079967
|
||
2025-04-29 01:55:59,732[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：BTC/USDT
|
||
2025-04-29 01:55:59,739[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(62450,)
|
||
2025-04-29 01:55:59,741[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.003572 50.024153
|
||
1 0.003285 50.024153
|
||
2 0.001898 50.024153
|
||
3 0.000484 50.024153
|
||
4 0.001688 50.024153
|
||
2025-04-29 01:55:59,745[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find model at /freqtrade/user_data/models/test175/sub-train-BTC_1743465600/cb_btc_1743465600
|
||
2025-04-29 01:55:59,746[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Starting training BTC/USDT --------------------
|
||
2025-04-29 01:55:59,762[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mBTC/USDT: dropped 0 training points due to NaNs in populated dataset 14400.
|
||
2025-04-29 01:55:59,762[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Training on data from 2025-03-02 to 2025-03-31 --------------------
|
||
2025-04-29 01:56:04,571[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 75 features
|
||
2025-04-29 01:56:04,571[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 11520 data points
|
||
[0] validation_0-rmse:0.28468 validation_1-rmse:0.28491
|
||
[1] validation_0-rmse:0.27961 validation_1-rmse:0.27914
|
||
[2] validation_0-rmse:0.27524 validation_1-rmse:0.27370
|
||
[3] validation_0-rmse:0.27054 validation_1-rmse:0.26858
|
||
[4] validation_0-rmse:0.26601 validation_1-rmse:0.26362
|
||
[5] validation_0-rmse:0.26219 validation_1-rmse:0.25896
|
||
[6] validation_0-rmse:0.25814 validation_1-rmse:0.25450
|
||
[7] validation_0-rmse:0.25500 validation_1-rmse:0.25026
|
||
[8] validation_0-rmse:0.25145 validation_1-rmse:0.24602
|
||
[9] validation_0-rmse:0.24843 validation_1-rmse:0.24213
|
||
[10] validation_0-rmse:0.24527 validation_1-rmse:0.23824
|
||
[11] validation_0-rmse:0.24238 validation_1-rmse:0.23440
|
||
[12] validation_0-rmse:0.23940 validation_1-rmse:0.23096
|
||
[13] validation_0-rmse:0.23630 validation_1-rmse:0.22764
|
||
[14] validation_0-rmse:0.23385 validation_1-rmse:0.22440
|
||
[15] validation_0-rmse:0.23099 validation_1-rmse:0.22128
|
||
[16] validation_0-rmse:0.22865 validation_1-rmse:0.21801
|
||
[17] validation_0-rmse:0.22620 validation_1-rmse:0.21515
|
||
[18] validation_0-rmse:0.22375 validation_1-rmse:0.21210
|
||
[19] validation_0-rmse:0.22142 validation_1-rmse:0.20925
|
||
[20] validation_0-rmse:0.21927 validation_1-rmse:0.20663
|
||
[21] validation_0-rmse:0.21720 validation_1-rmse:0.20416
|
||
[22] validation_0-rmse:0.21528 validation_1-rmse:0.20170
|
||
[23] validation_0-rmse:0.21330 validation_1-rmse:0.19913
|
||
[24] validation_0-rmse:0.21136 validation_1-rmse:0.19693
|
||
[25] validation_0-rmse:0.21002 validation_1-rmse:0.19438
|
||
[26] validation_0-rmse:0.20807 validation_1-rmse:0.19222
|
||
[27] validation_0-rmse:0.20636 validation_1-rmse:0.19016
|
||
[28] validation_0-rmse:0.20439 validation_1-rmse:0.18763
|
||
[29] validation_0-rmse:0.20276 validation_1-rmse:0.18559
|
||
[30] validation_0-rmse:0.20114 validation_1-rmse:0.18380
|
||
[31] validation_0-rmse:0.19965 validation_1-rmse:0.18163
|
||
[32] validation_0-rmse:0.19833 validation_1-rmse:0.17955
|
||
[33] validation_0-rmse:0.19688 validation_1-rmse:0.17782
|
||
[34] validation_0-rmse:0.19558 validation_1-rmse:0.17614
|
||
[35] validation_0-rmse:0.19420 validation_1-rmse:0.17451
|
||
[36] validation_0-rmse:0.19297 validation_1-rmse:0.17293
|
||
[37] validation_0-rmse:0.19169 validation_1-rmse:0.17111
|
||
[38] validation_0-rmse:0.19038 validation_1-rmse:0.16943
|
||
[39] validation_0-rmse:0.18941 validation_1-rmse:0.16798
|
||
[40] validation_0-rmse:0.18828 validation_1-rmse:0.16657
|
||
[41] validation_0-rmse:0.18724 validation_1-rmse:0.16485
|
||
[42] validation_0-rmse:0.18620 validation_1-rmse:0.16347
|
||
[43] validation_0-rmse:0.18525 validation_1-rmse:0.16204
|
||
[44] validation_0-rmse:0.18429 validation_1-rmse:0.16073
|
||
[45] validation_0-rmse:0.18324 validation_1-rmse:0.15951
|
||
[46] validation_0-rmse:0.18250 validation_1-rmse:0.15797
|
||
[47] validation_0-rmse:0.18157 validation_1-rmse:0.15682
|
||
[48] validation_0-rmse:0.18069 validation_1-rmse:0.15566
|
||
[49] validation_0-rmse:0.18002 validation_1-rmse:0.15440
|
||
[50] validation_0-rmse:0.17914 validation_1-rmse:0.15322
|
||
[51] validation_0-rmse:0.17842 validation_1-rmse:0.15220
|
||
[52] validation_0-rmse:0.17756 validation_1-rmse:0.15107
|
||
[53] validation_0-rmse:0.17668 validation_1-rmse:0.15007
|
||
[54] validation_0-rmse:0.17596 validation_1-rmse:0.14866
|
||
[55] validation_0-rmse:0.17525 validation_1-rmse:0.14775
|
||
[56] validation_0-rmse:0.17467 validation_1-rmse:0.14653
|
||
[57] validation_0-rmse:0.17390 validation_1-rmse:0.14564
|
||
[58] validation_0-rmse:0.17326 validation_1-rmse:0.14478
|
||
[59] validation_0-rmse:0.17273 validation_1-rmse:0.14356
|
||
[60] validation_0-rmse:0.17218 validation_1-rmse:0.14269
|
||
[61] validation_0-rmse:0.17157 validation_1-rmse:0.14186
|
||
[62] validation_0-rmse:0.17120 validation_1-rmse:0.14083
|
||
[63] validation_0-rmse:0.17069 validation_1-rmse:0.14002
|
||
[64] validation_0-rmse:0.17012 validation_1-rmse:0.13912
|
||
[65] validation_0-rmse:0.16942 validation_1-rmse:0.13834
|
||
[66] validation_0-rmse:0.16914 validation_1-rmse:0.13720
|
||
[67] validation_0-rmse:0.16856 validation_1-rmse:0.13648
|
||
[68] validation_0-rmse:0.16800 validation_1-rmse:0.13569
|
||
[69] validation_0-rmse:0.16796 validation_1-rmse:0.13472
|
||
[70] validation_0-rmse:0.16737 validation_1-rmse:0.13405
|
||
[71] validation_0-rmse:0.16686 validation_1-rmse:0.13342
|
||
[72] validation_0-rmse:0.16639 validation_1-rmse:0.13270
|
||
[73] validation_0-rmse:0.16648 validation_1-rmse:0.13149
|
||
[74] validation_0-rmse:0.16609 validation_1-rmse:0.13086
|
||
[75] validation_0-rmse:0.16560 validation_1-rmse:0.13025
|
||
[76] validation_0-rmse:0.16530 validation_1-rmse:0.12925
|
||
[77] validation_0-rmse:0.16492 validation_1-rmse:0.12824
|
||
[78] validation_0-rmse:0.16451 validation_1-rmse:0.12770
|
||
[79] validation_0-rmse:0.16414 validation_1-rmse:0.12710
|
||
[80] validation_0-rmse:0.16377 validation_1-rmse:0.12654
|
||
[81] validation_0-rmse:0.16338 validation_1-rmse:0.12595
|
||
[82] validation_0-rmse:0.16317 validation_1-rmse:0.12490
|
||
[83] validation_0-rmse:0.16249 validation_1-rmse:0.12361
|
||
[84] validation_0-rmse:0.16217 validation_1-rmse:0.12307
|
||
[85] validation_0-rmse:0.16178 validation_1-rmse:0.12255
|
||
[86] validation_0-rmse:0.16149 validation_1-rmse:0.12206
|
||
[87] validation_0-rmse:0.16113 validation_1-rmse:0.12155
|
||
[88] validation_0-rmse:0.16049 validation_1-rmse:0.12061
|
||
[89] validation_0-rmse:0.16008 validation_1-rmse:0.11990
|
||
[90] validation_0-rmse:0.15955 validation_1-rmse:0.11882
|
||
[91] validation_0-rmse:0.15927 validation_1-rmse:0.11842
|
||
[92] validation_0-rmse:0.15891 validation_1-rmse:0.11796
|
||
[93] validation_0-rmse:0.15880 validation_1-rmse:0.11730
|
||
[94] validation_0-rmse:0.15829 validation_1-rmse:0.11631
|
||
[95] validation_0-rmse:0.15809 validation_1-rmse:0.11584
|
||
[96] validation_0-rmse:0.15778 validation_1-rmse:0.11544
|
||
[97] validation_0-rmse:0.15763 validation_1-rmse:0.11504
|
||
[98] validation_0-rmse:0.15724 validation_1-rmse:0.11438
|
||
[99] validation_0-rmse:0.15694 validation_1-rmse:0.11396
|
||
2025-04-29 01:56:05,520[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Done training BTC/USDT (5.77 secs) --------------------
|
||
2025-04-29 01:56:05,521[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mSaving metadata to disk.
|
||
2025-04-29 01:56:06,027[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mTraining BTC/USDT, 1/2 pairs from 2025-03-12 00:00:00 to 2025-04-11 00:00:00, 11/11 trains
|
||
2025-04-29 01:56:06,027[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find backtesting prediction file at
|
||
/freqtrade/user_data/models/test175/backtesting_predictions/cb_btc_1744329600_prediction.feather
|
||
2025-04-29 01:56:06,037[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：BTC/USDT
|
||
2025-04-29 01:56:06,045[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(62450,)
|
||
2025-04-29 01:56:06,046[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.003572 50.024153
|
||
1 0.003285 50.024153
|
||
2 0.001898 50.024153
|
||
3 0.000484 50.024153
|
||
4 0.001688 50.024153
|
||
2025-04-29 01:56:06,057[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：BTC/USDT
|
||
2025-04-29 01:56:06,064[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(66770,)
|
||
2025-04-29 01:56:06,065[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.003572 50.093162
|
||
1 0.003285 50.093162
|
||
2 0.001898 50.093162
|
||
3 0.000484 50.093162
|
||
4 0.001688 50.093162
|
||
2025-04-29 01:56:06,070[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find model at /freqtrade/user_data/models/test175/sub-train-BTC_1744329600/cb_btc_1744329600
|
||
2025-04-29 01:56:06,071[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Starting training BTC/USDT --------------------
|
||
2025-04-29 01:56:06,087[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mBTC/USDT: dropped 0 training points due to NaNs in populated dataset 14400.
|
||
2025-04-29 01:56:06,088[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Training on data from 2025-03-12 to 2025-04-10 --------------------
|
||
2025-04-29 01:56:10,904[90m - [0m[95mdatasieve.pipeline[0m[90m - [0m[34mINFO[0m[90m - [0mDI tossed 2001 predictions for being too far from training data.
|
||
2025-04-29 01:56:10,907[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 75 features
|
||
2025-04-29 01:56:10,907[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 11520 data points
|
||
[0] validation_0-rmse:0.32950 validation_1-rmse:0.29220
|
||
[1] validation_0-rmse:0.32402 validation_1-rmse:0.28580
|
||
[2] validation_0-rmse:0.31922 validation_1-rmse:0.27974
|
||
[3] validation_0-rmse:0.31450 validation_1-rmse:0.27409
|
||
[4] validation_0-rmse:0.30969 validation_1-rmse:0.26866
|
||
[5] validation_0-rmse:0.30585 validation_1-rmse:0.26346
|
||
[6] validation_0-rmse:0.30202 validation_1-rmse:0.25855
|
||
[7] validation_0-rmse:0.29888 validation_1-rmse:0.25375
|
||
[8] validation_0-rmse:0.29520 validation_1-rmse:0.24919
|
||
[9] validation_0-rmse:0.29164 validation_1-rmse:0.24487
|
||
[10] validation_0-rmse:0.28843 validation_1-rmse:0.24072
|
||
[11] validation_0-rmse:0.28514 validation_1-rmse:0.23667
|
||
[12] validation_0-rmse:0.28114 validation_1-rmse:0.23279
|
||
[13] validation_0-rmse:0.27740 validation_1-rmse:0.22909
|
||
[14] validation_0-rmse:0.27421 validation_1-rmse:0.22543
|
||
[15] validation_0-rmse:0.27115 validation_1-rmse:0.22210
|
||
[16] validation_0-rmse:0.26820 validation_1-rmse:0.21859
|
||
[17] validation_0-rmse:0.26549 validation_1-rmse:0.21528
|
||
[18] validation_0-rmse:0.26254 validation_1-rmse:0.21226
|
||
[19] validation_0-rmse:0.25967 validation_1-rmse:0.20927
|
||
[20] validation_0-rmse:0.25735 validation_1-rmse:0.20641
|
||
[21] validation_0-rmse:0.25470 validation_1-rmse:0.20366
|
||
[22] validation_0-rmse:0.25265 validation_1-rmse:0.20073
|
||
[23] validation_0-rmse:0.25054 validation_1-rmse:0.19819
|
||
[24] validation_0-rmse:0.24806 validation_1-rmse:0.19573
|
||
[25] validation_0-rmse:0.24570 validation_1-rmse:0.19304
|
||
[26] validation_0-rmse:0.24361 validation_1-rmse:0.19076
|
||
[27] validation_0-rmse:0.24148 validation_1-rmse:0.18853
|
||
[28] validation_0-rmse:0.24014 validation_1-rmse:0.18621
|
||
[29] validation_0-rmse:0.23792 validation_1-rmse:0.18410
|
||
[30] validation_0-rmse:0.23603 validation_1-rmse:0.18203
|
||
[31] validation_0-rmse:0.23421 validation_1-rmse:0.17990
|
||
[32] validation_0-rmse:0.23264 validation_1-rmse:0.17800
|
||
[33] validation_0-rmse:0.23087 validation_1-rmse:0.17616
|
||
[34] validation_0-rmse:0.22949 validation_1-rmse:0.17427
|
||
[35] validation_0-rmse:0.22857 validation_1-rmse:0.17234
|
||
[36] validation_0-rmse:0.22690 validation_1-rmse:0.17065
|
||
[37] validation_0-rmse:0.22566 validation_1-rmse:0.16898
|
||
[38] validation_0-rmse:0.22462 validation_1-rmse:0.16738
|
||
[39] validation_0-rmse:0.22376 validation_1-rmse:0.16567
|
||
[40] validation_0-rmse:0.22232 validation_1-rmse:0.16410
|
||
[41] validation_0-rmse:0.22105 validation_1-rmse:0.16265
|
||
[42] validation_0-rmse:0.22006 validation_1-rmse:0.16111
|
||
[43] validation_0-rmse:0.21847 validation_1-rmse:0.15976
|
||
[44] validation_0-rmse:0.21782 validation_1-rmse:0.15824
|
||
[45] validation_0-rmse:0.21641 validation_1-rmse:0.15686
|
||
[46] validation_0-rmse:0.21552 validation_1-rmse:0.15554
|
||
[47] validation_0-rmse:0.21459 validation_1-rmse:0.15417
|
||
[48] validation_0-rmse:0.21339 validation_1-rmse:0.15293
|
||
[49] validation_0-rmse:0.21255 validation_1-rmse:0.15176
|
||
[50] validation_0-rmse:0.21192 validation_1-rmse:0.15047
|
||
[51] validation_0-rmse:0.21115 validation_1-rmse:0.14910
|
||
[52] validation_0-rmse:0.21072 validation_1-rmse:0.14774
|
||
[53] validation_0-rmse:0.20992 validation_1-rmse:0.14670
|
||
[54] validation_0-rmse:0.20839 validation_1-rmse:0.14541
|
||
[55] validation_0-rmse:0.20753 validation_1-rmse:0.14442
|
||
[56] validation_0-rmse:0.20648 validation_1-rmse:0.14328
|
||
[57] validation_0-rmse:0.20564 validation_1-rmse:0.14229
|
||
[58] validation_0-rmse:0.20473 validation_1-rmse:0.14137
|
||
[59] validation_0-rmse:0.20418 validation_1-rmse:0.14011
|
||
[60] validation_0-rmse:0.20341 validation_1-rmse:0.13923
|
||
[61] validation_0-rmse:0.20258 validation_1-rmse:0.13839
|
||
[62] validation_0-rmse:0.20230 validation_1-rmse:0.13723
|
||
[63] validation_0-rmse:0.20075 validation_1-rmse:0.13546
|
||
[64] validation_0-rmse:0.20007 validation_1-rmse:0.13467
|
||
[65] validation_0-rmse:0.19937 validation_1-rmse:0.13387
|
||
[66] validation_0-rmse:0.19875 validation_1-rmse:0.13296
|
||
[67] validation_0-rmse:0.19709 validation_1-rmse:0.13137
|
||
[68] validation_0-rmse:0.19675 validation_1-rmse:0.13042
|
||
[69] validation_0-rmse:0.19617 validation_1-rmse:0.12968
|
||
[70] validation_0-rmse:0.19560 validation_1-rmse:0.12900
|
||
[71] validation_0-rmse:0.19492 validation_1-rmse:0.12834
|
||
[72] validation_0-rmse:0.19319 validation_1-rmse:0.12681
|
||
[73] validation_0-rmse:0.19272 validation_1-rmse:0.12612
|
||
[74] validation_0-rmse:0.19230 validation_1-rmse:0.12535
|
||
[75] validation_0-rmse:0.19170 validation_1-rmse:0.12474
|
||
[76] validation_0-rmse:0.19058 validation_1-rmse:0.12338
|
||
[77] validation_0-rmse:0.19010 validation_1-rmse:0.12279
|
||
[78] validation_0-rmse:0.18961 validation_1-rmse:0.12223
|
||
[79] validation_0-rmse:0.18960 validation_1-rmse:0.12156
|
||
[80] validation_0-rmse:0.18882 validation_1-rmse:0.12038
|
||
[81] validation_0-rmse:0.18819 validation_1-rmse:0.11975
|
||
[82] validation_0-rmse:0.18789 validation_1-rmse:0.11916
|
||
[83] validation_0-rmse:0.18738 validation_1-rmse:0.11864
|
||
[84] validation_0-rmse:0.18718 validation_1-rmse:0.11801
|
||
[85] validation_0-rmse:0.18600 validation_1-rmse:0.11698
|
||
[86] validation_0-rmse:0.18572 validation_1-rmse:0.11653
|
||
[87] validation_0-rmse:0.18534 validation_1-rmse:0.11603
|
||
[88] validation_0-rmse:0.18478 validation_1-rmse:0.11508
|
||
[89] validation_0-rmse:0.18430 validation_1-rmse:0.11459
|
||
[90] validation_0-rmse:0.18447 validation_1-rmse:0.11396
|
||
[91] validation_0-rmse:0.18424 validation_1-rmse:0.11352
|
||
[92] validation_0-rmse:0.18367 validation_1-rmse:0.11307
|
||
[93] validation_0-rmse:0.18333 validation_1-rmse:0.11265
|
||
[94] validation_0-rmse:0.18313 validation_1-rmse:0.11216
|
||
[95] validation_0-rmse:0.18275 validation_1-rmse:0.11157
|
||
[96] validation_0-rmse:0.18275 validation_1-rmse:0.11106
|
||
[97] validation_0-rmse:0.18248 validation_1-rmse:0.11068
|
||
[98] validation_0-rmse:0.18220 validation_1-rmse:0.11033
|
||
[99] validation_0-rmse:0.18198 validation_1-rmse:0.10994
|
||
2025-04-29 01:56:11,705[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Done training BTC/USDT (5.63 secs) --------------------
|
||
2025-04-29 01:56:11,706[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mSaving metadata to disk.
|
||
2025-04-29 01:56:12,255[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m动态参数：buy_rsi=39.26145316407591, sell_rsi=59.26145316407591, stoploss=-0.15, trailing_stop_positive=0.05
|
||
2025-04-29 01:56:12,275[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0mup_or_down 值统计：
|
||
up_or_down
|
||
1 33535
|
||
0 33236
|
||
2025-04-29 01:56:12,276[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0mdo_predict 值统计：
|
||
do_predict
|
||
0.0 35773
|
||
1.0 30998
|
||
2025-04-29 01:56:12,279[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m处理交易对：SOL/USDT
|
||
2025-04-29 01:56:12,281[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mTraining 11 timeranges
|
||
2025-04-29 01:56:12,282[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mTraining SOL/USDT, 2/2 pairs from 2024-12-02 00:00:00 to 2025-01-01 00:00:00, 1/11 trains
|
||
2025-04-29 01:56:12,283[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find backtesting prediction file at
|
||
/freqtrade/user_data/models/test175/backtesting_predictions/cb_sol_1735689600_prediction.feather
|
||
2025-04-29 01:56:12,334[90m - [0m[95mfreqtrade.data.dataprovider[0m[90m - [0m[34mINFO[0m[90m - [0mIncreasing startup_candle_count for freqai on 5m to 8690
|
||
2025-04-29 01:56:12,335[90m - [0m[95mfreqtrade.data.dataprovider[0m[90m - [0m[34mINFO[0m[90m - [0mLoading data for SOL/USDT 5m from 2024-12-01 19:50:00 to 2025-04-20 00:00:00
|
||
2025-04-29 01:56:12,422[90m - [0m[95mfreqtrade.data.dataprovider[0m[90m - [0m[34mINFO[0m[90m - [0mIncreasing startup_candle_count for freqai on 1h to 770
|
||
2025-04-29 01:56:12,422[90m - [0m[95mfreqtrade.data.dataprovider[0m[90m - [0m[34mINFO[0m[90m - [0mLoading data for SOL/USDT 1h from 2024-11-29 22:00:00 to 2025-04-20 00:00:00
|
||
2025-04-29 01:56:12,518[90m - [0m[95mfreqtrade.data.dataprovider[0m[90m - [0m[34mINFO[0m[90m - [0mIncreasing startup_candle_count for freqai on 3m to 14450
|
||
2025-04-29 01:56:12,519[90m - [0m[95mfreqtrade.data.dataprovider[0m[90m - [0m[34mINFO[0m[90m - [0mLoading data for BTC/USDT 3m from 2024-12-01 21:30:00 to 2025-04-20 00:00:00
|
||
2025-04-29 01:56:13,040[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：SOL/USDT
|
||
2025-04-29 01:56:13,046[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(14450,)
|
||
2025-04-29 01:56:13,047[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.002704 49.58814
|
||
1 0.003044 49.58814
|
||
2 0.000465 49.58814
|
||
3 -0.000380 49.58814
|
||
4 0.002829 49.58814
|
||
2025-04-29 01:56:13,052[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：SOL/USDT
|
||
2025-04-29 01:56:13,057[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(19250,)
|
||
2025-04-29 01:56:13,059[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.002704 49.68088
|
||
1 0.003044 49.68088
|
||
2 0.000465 49.68088
|
||
3 -0.000380 49.68088
|
||
4 0.002829 49.68088
|
||
2025-04-29 01:56:13,066[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find model at /freqtrade/user_data/models/test175/sub-train-SOL_1735689600/cb_sol_1735689600
|
||
2025-04-29 01:56:13,066[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Starting training SOL/USDT --------------------
|
||
2025-04-29 01:56:13,095[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mSOL/USDT: dropped 0 training points due to NaNs in populated dataset 14400.
|
||
2025-04-29 01:56:13,096[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Training on data from 2024-12-02 to 2024-12-31 --------------------
|
||
2025-04-29 01:56:18,126[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 111 features
|
||
2025-04-29 01:56:18,126[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 11520 data points
|
||
[0] validation_0-rmse:0.30164 validation_1-rmse:0.29585
|
||
[1] validation_0-rmse:0.29609 validation_1-rmse:0.28921
|
||
[2] validation_0-rmse:0.29103 validation_1-rmse:0.28298
|
||
[3] validation_0-rmse:0.28604 validation_1-rmse:0.27706
|
||
[4] validation_0-rmse:0.28108 validation_1-rmse:0.27129
|
||
[5] validation_0-rmse:0.27670 validation_1-rmse:0.26609
|
||
[6] validation_0-rmse:0.27234 validation_1-rmse:0.26092
|
||
[7] validation_0-rmse:0.26874 validation_1-rmse:0.25593
|
||
[8] validation_0-rmse:0.26461 validation_1-rmse:0.25118
|
||
[9] validation_0-rmse:0.26074 validation_1-rmse:0.24677
|
||
[10] validation_0-rmse:0.25745 validation_1-rmse:0.24239
|
||
[11] validation_0-rmse:0.25460 validation_1-rmse:0.23832
|
||
[12] validation_0-rmse:0.25121 validation_1-rmse:0.23441
|
||
[13] validation_0-rmse:0.24825 validation_1-rmse:0.23068
|
||
[14] validation_0-rmse:0.24580 validation_1-rmse:0.22694
|
||
[15] validation_0-rmse:0.24286 validation_1-rmse:0.22346
|
||
[16] validation_0-rmse:0.24051 validation_1-rmse:0.22006
|
||
[17] validation_0-rmse:0.23821 validation_1-rmse:0.21690
|
||
[18] validation_0-rmse:0.23549 validation_1-rmse:0.21383
|
||
[19] validation_0-rmse:0.23335 validation_1-rmse:0.21087
|
||
[20] validation_0-rmse:0.23089 validation_1-rmse:0.20804
|
||
[21] validation_0-rmse:0.22918 validation_1-rmse:0.20505
|
||
[22] validation_0-rmse:0.22716 validation_1-rmse:0.20240
|
||
[23] validation_0-rmse:0.22562 validation_1-rmse:0.19981
|
||
[24] validation_0-rmse:0.22385 validation_1-rmse:0.19723
|
||
[25] validation_0-rmse:0.22201 validation_1-rmse:0.19473
|
||
[26] validation_0-rmse:0.22016 validation_1-rmse:0.19245
|
||
[27] validation_0-rmse:0.21834 validation_1-rmse:0.19024
|
||
[28] validation_0-rmse:0.21671 validation_1-rmse:0.18789
|
||
[29] validation_0-rmse:0.21493 validation_1-rmse:0.18579
|
||
[30] validation_0-rmse:0.21385 validation_1-rmse:0.18351
|
||
[31] validation_0-rmse:0.21216 validation_1-rmse:0.18156
|
||
[32] validation_0-rmse:0.21088 validation_1-rmse:0.17941
|
||
[33] validation_0-rmse:0.20953 validation_1-rmse:0.17754
|
||
[34] validation_0-rmse:0.20805 validation_1-rmse:0.17575
|
||
[35] validation_0-rmse:0.20648 validation_1-rmse:0.17399
|
||
[36] validation_0-rmse:0.20515 validation_1-rmse:0.17220
|
||
[37] validation_0-rmse:0.20382 validation_1-rmse:0.17031
|
||
[38] validation_0-rmse:0.20257 validation_1-rmse:0.16871
|
||
[39] validation_0-rmse:0.20125 validation_1-rmse:0.16718
|
||
[40] validation_0-rmse:0.20005 validation_1-rmse:0.16574
|
||
[41] validation_0-rmse:0.19885 validation_1-rmse:0.16415
|
||
[42] validation_0-rmse:0.19789 validation_1-rmse:0.16270
|
||
[43] validation_0-rmse:0.19680 validation_1-rmse:0.16130
|
||
[44] validation_0-rmse:0.19564 validation_1-rmse:0.15993
|
||
[45] validation_0-rmse:0.19480 validation_1-rmse:0.15854
|
||
[46] validation_0-rmse:0.19376 validation_1-rmse:0.15728
|
||
[47] validation_0-rmse:0.19290 validation_1-rmse:0.15568
|
||
[48] validation_0-rmse:0.19223 validation_1-rmse:0.15445
|
||
[49] validation_0-rmse:0.19129 validation_1-rmse:0.15330
|
||
[50] validation_0-rmse:0.19035 validation_1-rmse:0.15194
|
||
[51] validation_0-rmse:0.18948 validation_1-rmse:0.15082
|
||
[52] validation_0-rmse:0.18882 validation_1-rmse:0.14945
|
||
[53] validation_0-rmse:0.18801 validation_1-rmse:0.14840
|
||
[54] validation_0-rmse:0.18707 validation_1-rmse:0.14736
|
||
[55] validation_0-rmse:0.18637 validation_1-rmse:0.14635
|
||
[56] validation_0-rmse:0.18571 validation_1-rmse:0.14542
|
||
[57] validation_0-rmse:0.18497 validation_1-rmse:0.14413
|
||
[58] validation_0-rmse:0.18443 validation_1-rmse:0.14297
|
||
[59] validation_0-rmse:0.18375 validation_1-rmse:0.14203
|
||
[60] validation_0-rmse:0.18319 validation_1-rmse:0.14111
|
||
[61] validation_0-rmse:0.18266 validation_1-rmse:0.14030
|
||
[62] validation_0-rmse:0.18185 validation_1-rmse:0.13914
|
||
[63] validation_0-rmse:0.18145 validation_1-rmse:0.13831
|
||
[64] validation_0-rmse:0.18135 validation_1-rmse:0.13720
|
||
[65] validation_0-rmse:0.18075 validation_1-rmse:0.13643
|
||
[66] validation_0-rmse:0.18020 validation_1-rmse:0.13560
|
||
[67] validation_0-rmse:0.17951 validation_1-rmse:0.13485
|
||
[68] validation_0-rmse:0.17888 validation_1-rmse:0.13414
|
||
[69] validation_0-rmse:0.17850 validation_1-rmse:0.13343
|
||
[70] validation_0-rmse:0.17798 validation_1-rmse:0.13224
|
||
[71] validation_0-rmse:0.17751 validation_1-rmse:0.13133
|
||
[72] validation_0-rmse:0.17711 validation_1-rmse:0.13062
|
||
[73] validation_0-rmse:0.17701 validation_1-rmse:0.12966
|
||
[74] validation_0-rmse:0.17648 validation_1-rmse:0.12872
|
||
[75] validation_0-rmse:0.17611 validation_1-rmse:0.12806
|
||
[76] validation_0-rmse:0.17573 validation_1-rmse:0.12732
|
||
[77] validation_0-rmse:0.17528 validation_1-rmse:0.12664
|
||
[78] validation_0-rmse:0.17478 validation_1-rmse:0.12605
|
||
[79] validation_0-rmse:0.17432 validation_1-rmse:0.12518
|
||
[80] validation_0-rmse:0.17391 validation_1-rmse:0.12466
|
||
[81] validation_0-rmse:0.17358 validation_1-rmse:0.12398
|
||
[82] validation_0-rmse:0.17315 validation_1-rmse:0.12342
|
||
[83] validation_0-rmse:0.17260 validation_1-rmse:0.12276
|
||
[84] validation_0-rmse:0.17220 validation_1-rmse:0.12222
|
||
[85] validation_0-rmse:0.17182 validation_1-rmse:0.12176
|
||
[86] validation_0-rmse:0.17152 validation_1-rmse:0.12124
|
||
[87] validation_0-rmse:0.17103 validation_1-rmse:0.12046
|
||
[88] validation_0-rmse:0.17085 validation_1-rmse:0.11974
|
||
[89] validation_0-rmse:0.17053 validation_1-rmse:0.11930
|
||
[90] validation_0-rmse:0.17018 validation_1-rmse:0.11888
|
||
[91] validation_0-rmse:0.17011 validation_1-rmse:0.11810
|
||
[92] validation_0-rmse:0.16980 validation_1-rmse:0.11762
|
||
[93] validation_0-rmse:0.16956 validation_1-rmse:0.11689
|
||
[94] validation_0-rmse:0.16923 validation_1-rmse:0.11641
|
||
[95] validation_0-rmse:0.16912 validation_1-rmse:0.11579
|
||
[96] validation_0-rmse:0.16878 validation_1-rmse:0.11530
|
||
[97] validation_0-rmse:0.16857 validation_1-rmse:0.11489
|
||
[98] validation_0-rmse:0.16824 validation_1-rmse:0.11442
|
||
[99] validation_0-rmse:0.16824 validation_1-rmse:0.11403
|
||
2025-04-29 01:56:19,586[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Done training SOL/USDT (6.52 secs) --------------------
|
||
2025-04-29 01:56:19,587[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mSaving metadata to disk.
|
||
2025-04-29 01:56:20,174[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mTraining SOL/USDT, 2/2 pairs from 2024-12-12 00:00:00 to 2025-01-11 00:00:00, 2/11 trains
|
||
2025-04-29 01:56:20,175[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find backtesting prediction file at
|
||
/freqtrade/user_data/models/test175/backtesting_predictions/cb_sol_1736553600_prediction.feather
|
||
2025-04-29 01:56:20,179[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：SOL/USDT
|
||
2025-04-29 01:56:20,185[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(19250,)
|
||
2025-04-29 01:56:20,186[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.002704 49.68088
|
||
1 0.003044 49.68088
|
||
2 0.000465 49.68088
|
||
3 -0.000380 49.68088
|
||
4 0.002829 49.68088
|
||
2025-04-29 01:56:20,192[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：SOL/USDT
|
||
2025-04-29 01:56:20,197[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(24050,)
|
||
2025-04-29 01:56:20,199[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.002704 49.97721
|
||
1 0.003044 49.97721
|
||
2 0.000465 49.97721
|
||
3 -0.000380 49.97721
|
||
4 0.002829 49.97721
|
||
2025-04-29 01:56:20,204[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find model at /freqtrade/user_data/models/test175/sub-train-SOL_1736553600/cb_sol_1736553600
|
||
2025-04-29 01:56:20,205[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Starting training SOL/USDT --------------------
|
||
2025-04-29 01:56:20,227[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mSOL/USDT: dropped 0 training points due to NaNs in populated dataset 14400.
|
||
2025-04-29 01:56:20,228[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Training on data from 2024-12-12 to 2025-01-10 --------------------
|
||
2025-04-29 01:56:25,109[90m - [0m[95mdatasieve.pipeline[0m[90m - [0m[34mINFO[0m[90m - [0mDI tossed 5 predictions for being too far from training data.
|
||
2025-04-29 01:56:25,112[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 111 features
|
||
2025-04-29 01:56:25,112[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 11520 data points
|
||
[0] validation_0-rmse:0.29597 validation_1-rmse:0.29016
|
||
[1] validation_0-rmse:0.29075 validation_1-rmse:0.28391
|
||
[2] validation_0-rmse:0.28602 validation_1-rmse:0.27798
|
||
[3] validation_0-rmse:0.28062 validation_1-rmse:0.27213
|
||
[4] validation_0-rmse:0.27647 validation_1-rmse:0.26682
|
||
[5] validation_0-rmse:0.27188 validation_1-rmse:0.26144
|
||
[6] validation_0-rmse:0.26781 validation_1-rmse:0.25655
|
||
[7] validation_0-rmse:0.26412 validation_1-rmse:0.25180
|
||
[8] validation_0-rmse:0.25994 validation_1-rmse:0.24709
|
||
[9] validation_0-rmse:0.25649 validation_1-rmse:0.24277
|
||
[10] validation_0-rmse:0.25332 validation_1-rmse:0.23850
|
||
[11] validation_0-rmse:0.24999 validation_1-rmse:0.23452
|
||
[12] validation_0-rmse:0.24687 validation_1-rmse:0.23072
|
||
[13] validation_0-rmse:0.24432 validation_1-rmse:0.22694
|
||
[14] validation_0-rmse:0.24128 validation_1-rmse:0.22341
|
||
[15] validation_0-rmse:0.23869 validation_1-rmse:0.21969
|
||
[16] validation_0-rmse:0.23628 validation_1-rmse:0.21635
|
||
[17] validation_0-rmse:0.23354 validation_1-rmse:0.21326
|
||
[18] validation_0-rmse:0.23123 validation_1-rmse:0.21007
|
||
[19] validation_0-rmse:0.22919 validation_1-rmse:0.20707
|
||
[20] validation_0-rmse:0.22705 validation_1-rmse:0.20418
|
||
[21] validation_0-rmse:0.22505 validation_1-rmse:0.20149
|
||
[22] validation_0-rmse:0.22285 validation_1-rmse:0.19887
|
||
[23] validation_0-rmse:0.22084 validation_1-rmse:0.19631
|
||
[24] validation_0-rmse:0.21877 validation_1-rmse:0.19389
|
||
[25] validation_0-rmse:0.21748 validation_1-rmse:0.19133
|
||
[26] validation_0-rmse:0.21557 validation_1-rmse:0.18870
|
||
[27] validation_0-rmse:0.21374 validation_1-rmse:0.18648
|
||
[28] validation_0-rmse:0.21183 validation_1-rmse:0.18432
|
||
[29] validation_0-rmse:0.21047 validation_1-rmse:0.18209
|
||
[30] validation_0-rmse:0.20873 validation_1-rmse:0.17990
|
||
[31] validation_0-rmse:0.20717 validation_1-rmse:0.17795
|
||
[32] validation_0-rmse:0.20564 validation_1-rmse:0.17599
|
||
[33] validation_0-rmse:0.20428 validation_1-rmse:0.17421
|
||
[34] validation_0-rmse:0.20290 validation_1-rmse:0.17229
|
||
[35] validation_0-rmse:0.20161 validation_1-rmse:0.17047
|
||
[36] validation_0-rmse:0.20018 validation_1-rmse:0.16878
|
||
[37] validation_0-rmse:0.19923 validation_1-rmse:0.16688
|
||
[38] validation_0-rmse:0.19796 validation_1-rmse:0.16534
|
||
[39] validation_0-rmse:0.19668 validation_1-rmse:0.16355
|
||
[40] validation_0-rmse:0.19543 validation_1-rmse:0.16204
|
||
[41] validation_0-rmse:0.19441 validation_1-rmse:0.16062
|
||
[42] validation_0-rmse:0.19344 validation_1-rmse:0.15910
|
||
[43] validation_0-rmse:0.19256 validation_1-rmse:0.15759
|
||
[44] validation_0-rmse:0.19154 validation_1-rmse:0.15625
|
||
[45] validation_0-rmse:0.19048 validation_1-rmse:0.15494
|
||
[46] validation_0-rmse:0.18937 validation_1-rmse:0.15366
|
||
[47] validation_0-rmse:0.18865 validation_1-rmse:0.15236
|
||
[48] validation_0-rmse:0.18784 validation_1-rmse:0.15112
|
||
[49] validation_0-rmse:0.18704 validation_1-rmse:0.14998
|
||
[50] validation_0-rmse:0.18625 validation_1-rmse:0.14874
|
||
[51] validation_0-rmse:0.18541 validation_1-rmse:0.14763
|
||
[52] validation_0-rmse:0.18456 validation_1-rmse:0.14659
|
||
[53] validation_0-rmse:0.18383 validation_1-rmse:0.14530
|
||
[54] validation_0-rmse:0.18315 validation_1-rmse:0.14420
|
||
[55] validation_0-rmse:0.18234 validation_1-rmse:0.14321
|
||
[56] validation_0-rmse:0.18181 validation_1-rmse:0.14206
|
||
[57] validation_0-rmse:0.18109 validation_1-rmse:0.14106
|
||
[58] validation_0-rmse:0.18033 validation_1-rmse:0.13996
|
||
[59] validation_0-rmse:0.17964 validation_1-rmse:0.13905
|
||
[60] validation_0-rmse:0.17921 validation_1-rmse:0.13820
|
||
[61] validation_0-rmse:0.17865 validation_1-rmse:0.13731
|
||
[62] validation_0-rmse:0.17795 validation_1-rmse:0.13648
|
||
[63] validation_0-rmse:0.17737 validation_1-rmse:0.13559
|
||
[64] validation_0-rmse:0.17680 validation_1-rmse:0.13483
|
||
[65] validation_0-rmse:0.17628 validation_1-rmse:0.13408
|
||
[66] validation_0-rmse:0.17588 validation_1-rmse:0.13303
|
||
[67] validation_0-rmse:0.17530 validation_1-rmse:0.13228
|
||
[68] validation_0-rmse:0.17478 validation_1-rmse:0.13153
|
||
[69] validation_0-rmse:0.17439 validation_1-rmse:0.13081
|
||
[70] validation_0-rmse:0.17401 validation_1-rmse:0.12991
|
||
[71] validation_0-rmse:0.17347 validation_1-rmse:0.12911
|
||
[72] validation_0-rmse:0.17304 validation_1-rmse:0.12838
|
||
[73] validation_0-rmse:0.17254 validation_1-rmse:0.12774
|
||
[74] validation_0-rmse:0.17207 validation_1-rmse:0.12656
|
||
[75] validation_0-rmse:0.17185 validation_1-rmse:0.12571
|
||
[76] validation_0-rmse:0.17126 validation_1-rmse:0.12512
|
||
[77] validation_0-rmse:0.17096 validation_1-rmse:0.12447
|
||
[78] validation_0-rmse:0.17064 validation_1-rmse:0.12381
|
||
[79] validation_0-rmse:0.17024 validation_1-rmse:0.12300
|
||
[80] validation_0-rmse:0.16989 validation_1-rmse:0.12244
|
||
[81] validation_0-rmse:0.16955 validation_1-rmse:0.12180
|
||
[82] validation_0-rmse:0.16924 validation_1-rmse:0.12129
|
||
[83] validation_0-rmse:0.16931 validation_1-rmse:0.12037
|
||
[84] validation_0-rmse:0.16888 validation_1-rmse:0.11970
|
||
[85] validation_0-rmse:0.16845 validation_1-rmse:0.11914
|
||
[86] validation_0-rmse:0.16809 validation_1-rmse:0.11840
|
||
[87] validation_0-rmse:0.16766 validation_1-rmse:0.11760
|
||
[88] validation_0-rmse:0.16741 validation_1-rmse:0.11714
|
||
[89] validation_0-rmse:0.16707 validation_1-rmse:0.11667
|
||
[90] validation_0-rmse:0.16683 validation_1-rmse:0.11592
|
||
[91] validation_0-rmse:0.16643 validation_1-rmse:0.11537
|
||
[92] validation_0-rmse:0.16621 validation_1-rmse:0.11455
|
||
[93] validation_0-rmse:0.16611 validation_1-rmse:0.11396
|
||
[94] validation_0-rmse:0.16587 validation_1-rmse:0.11350
|
||
[95] validation_0-rmse:0.16563 validation_1-rmse:0.11308
|
||
[96] validation_0-rmse:0.16535 validation_1-rmse:0.11237
|
||
[97] validation_0-rmse:0.16487 validation_1-rmse:0.11173
|
||
[98] validation_0-rmse:0.16461 validation_1-rmse:0.11133
|
||
[99] validation_0-rmse:0.16437 validation_1-rmse:0.11096
|
||
2025-04-29 01:56:26,510[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Done training SOL/USDT (6.30 secs) --------------------
|
||
2025-04-29 01:56:26,511[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mSaving metadata to disk.
|
||
2025-04-29 01:56:27,072[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mTraining SOL/USDT, 2/2 pairs from 2024-12-22 00:00:00 to 2025-01-21 00:00:00, 3/11 trains
|
||
2025-04-29 01:56:27,073[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find backtesting prediction file at
|
||
/freqtrade/user_data/models/test175/backtesting_predictions/cb_sol_1737417600_prediction.feather
|
||
2025-04-29 01:56:27,079[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：SOL/USDT
|
||
2025-04-29 01:56:27,085[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(24050,)
|
||
2025-04-29 01:56:27,086[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.002704 49.97721
|
||
1 0.003044 49.97721
|
||
2 0.000465 49.97721
|
||
3 -0.000380 49.97721
|
||
4 0.002829 49.97721
|
||
2025-04-29 01:56:27,094[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：SOL/USDT
|
||
2025-04-29 01:56:27,100[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(28850,)
|
||
2025-04-29 01:56:27,102[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.002704 49.941408
|
||
1 0.003044 49.941408
|
||
2 0.000465 49.941408
|
||
3 -0.000380 49.941408
|
||
4 0.002829 49.941408
|
||
2025-04-29 01:56:27,108[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find model at /freqtrade/user_data/models/test175/sub-train-SOL_1737417600/cb_sol_1737417600
|
||
2025-04-29 01:56:27,109[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Starting training SOL/USDT --------------------
|
||
2025-04-29 01:56:27,130[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mSOL/USDT: dropped 0 training points due to NaNs in populated dataset 14400.
|
||
2025-04-29 01:56:27,131[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Training on data from 2024-12-22 to 2025-01-20 --------------------
|
||
2025-04-29 01:56:32,206[90m - [0m[95mdatasieve.pipeline[0m[90m - [0m[34mINFO[0m[90m - [0mDI tossed 1523 predictions for being too far from training data.
|
||
2025-04-29 01:56:32,209[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 111 features
|
||
2025-04-29 01:56:32,210[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 11520 data points
|
||
[0] validation_0-rmse:0.30838 validation_1-rmse:0.28356
|
||
[1] validation_0-rmse:0.30280 validation_1-rmse:0.27752
|
||
[2] validation_0-rmse:0.29759 validation_1-rmse:0.27179
|
||
[3] validation_0-rmse:0.29330 validation_1-rmse:0.26614
|
||
[4] validation_0-rmse:0.28936 validation_1-rmse:0.26091
|
||
[5] validation_0-rmse:0.28544 validation_1-rmse:0.25581
|
||
[6] validation_0-rmse:0.28151 validation_1-rmse:0.25102
|
||
[7] validation_0-rmse:0.27790 validation_1-rmse:0.24636
|
||
[8] validation_0-rmse:0.27429 validation_1-rmse:0.24196
|
||
[9] validation_0-rmse:0.27104 validation_1-rmse:0.23770
|
||
[10] validation_0-rmse:0.26762 validation_1-rmse:0.23356
|
||
[11] validation_0-rmse:0.26472 validation_1-rmse:0.22966
|
||
[12] validation_0-rmse:0.26219 validation_1-rmse:0.22601
|
||
[13] validation_0-rmse:0.25924 validation_1-rmse:0.22234
|
||
[14] validation_0-rmse:0.25634 validation_1-rmse:0.21888
|
||
[15] validation_0-rmse:0.25379 validation_1-rmse:0.21545
|
||
[16] validation_0-rmse:0.25117 validation_1-rmse:0.21221
|
||
[17] validation_0-rmse:0.24877 validation_1-rmse:0.20902
|
||
[18] validation_0-rmse:0.24653 validation_1-rmse:0.20604
|
||
[19] validation_0-rmse:0.24404 validation_1-rmse:0.20315
|
||
[20] validation_0-rmse:0.24194 validation_1-rmse:0.20032
|
||
[21] validation_0-rmse:0.23966 validation_1-rmse:0.19765
|
||
[22] validation_0-rmse:0.23804 validation_1-rmse:0.19481
|
||
[23] validation_0-rmse:0.23599 validation_1-rmse:0.19230
|
||
[24] validation_0-rmse:0.23384 validation_1-rmse:0.18993
|
||
[25] validation_0-rmse:0.23196 validation_1-rmse:0.18756
|
||
[26] validation_0-rmse:0.23057 validation_1-rmse:0.18506
|
||
[27] validation_0-rmse:0.22854 validation_1-rmse:0.18283
|
||
[28] validation_0-rmse:0.22705 validation_1-rmse:0.18071
|
||
[29] validation_0-rmse:0.22557 validation_1-rmse:0.17851
|
||
[30] validation_0-rmse:0.22394 validation_1-rmse:0.17644
|
||
[31] validation_0-rmse:0.22213 validation_1-rmse:0.17452
|
||
[32] validation_0-rmse:0.22064 validation_1-rmse:0.17267
|
||
[33] validation_0-rmse:0.21905 validation_1-rmse:0.17084
|
||
[34] validation_0-rmse:0.21806 validation_1-rmse:0.16880
|
||
[35] validation_0-rmse:0.21693 validation_1-rmse:0.16700
|
||
[36] validation_0-rmse:0.21537 validation_1-rmse:0.16520
|
||
[37] validation_0-rmse:0.21417 validation_1-rmse:0.16362
|
||
[38] validation_0-rmse:0.21282 validation_1-rmse:0.16204
|
||
[39] validation_0-rmse:0.21137 validation_1-rmse:0.16047
|
||
[40] validation_0-rmse:0.20994 validation_1-rmse:0.15897
|
||
[41] validation_0-rmse:0.20878 validation_1-rmse:0.15747
|
||
[42] validation_0-rmse:0.20766 validation_1-rmse:0.15604
|
||
[43] validation_0-rmse:0.20666 validation_1-rmse:0.15444
|
||
[44] validation_0-rmse:0.20566 validation_1-rmse:0.15316
|
||
[45] validation_0-rmse:0.20496 validation_1-rmse:0.15162
|
||
[46] validation_0-rmse:0.20394 validation_1-rmse:0.15038
|
||
[47] validation_0-rmse:0.20277 validation_1-rmse:0.14909
|
||
[48] validation_0-rmse:0.20176 validation_1-rmse:0.14793
|
||
[49] validation_0-rmse:0.20072 validation_1-rmse:0.14681
|
||
[50] validation_0-rmse:0.20058 validation_1-rmse:0.14528
|
||
[51] validation_0-rmse:0.19970 validation_1-rmse:0.14419
|
||
[52] validation_0-rmse:0.19887 validation_1-rmse:0.14284
|
||
[53] validation_0-rmse:0.19809 validation_1-rmse:0.14182
|
||
[54] validation_0-rmse:0.19725 validation_1-rmse:0.14076
|
||
[55] validation_0-rmse:0.19636 validation_1-rmse:0.13981
|
||
[56] validation_0-rmse:0.19615 validation_1-rmse:0.13853
|
||
[57] validation_0-rmse:0.19540 validation_1-rmse:0.13757
|
||
[58] validation_0-rmse:0.19460 validation_1-rmse:0.13664
|
||
[59] validation_0-rmse:0.19418 validation_1-rmse:0.13553
|
||
[60] validation_0-rmse:0.19382 validation_1-rmse:0.13445
|
||
[61] validation_0-rmse:0.19302 validation_1-rmse:0.13363
|
||
[62] validation_0-rmse:0.19218 validation_1-rmse:0.13270
|
||
[63] validation_0-rmse:0.19154 validation_1-rmse:0.13183
|
||
[64] validation_0-rmse:0.19083 validation_1-rmse:0.13105
|
||
[65] validation_0-rmse:0.19005 validation_1-rmse:0.13008
|
||
[66] validation_0-rmse:0.18929 validation_1-rmse:0.12932
|
||
[67] validation_0-rmse:0.18885 validation_1-rmse:0.12851
|
||
[68] validation_0-rmse:0.18837 validation_1-rmse:0.12781
|
||
[69] validation_0-rmse:0.18790 validation_1-rmse:0.12711
|
||
[70] validation_0-rmse:0.18732 validation_1-rmse:0.12617
|
||
[71] validation_0-rmse:0.18682 validation_1-rmse:0.12552
|
||
[72] validation_0-rmse:0.18669 validation_1-rmse:0.12448
|
||
[73] validation_0-rmse:0.18617 validation_1-rmse:0.12382
|
||
[74] validation_0-rmse:0.18587 validation_1-rmse:0.12322
|
||
[75] validation_0-rmse:0.18544 validation_1-rmse:0.12261
|
||
[76] validation_0-rmse:0.18524 validation_1-rmse:0.12162
|
||
[77] validation_0-rmse:0.18486 validation_1-rmse:0.12098
|
||
[78] validation_0-rmse:0.18443 validation_1-rmse:0.12021
|
||
[79] validation_0-rmse:0.18415 validation_1-rmse:0.11963
|
||
[80] validation_0-rmse:0.18393 validation_1-rmse:0.11866
|
||
[81] validation_0-rmse:0.18344 validation_1-rmse:0.11809
|
||
[82] validation_0-rmse:0.18307 validation_1-rmse:0.11748
|
||
[83] validation_0-rmse:0.18257 validation_1-rmse:0.11699
|
||
[84] validation_0-rmse:0.18216 validation_1-rmse:0.11643
|
||
[85] validation_0-rmse:0.18188 validation_1-rmse:0.11595
|
||
[86] validation_0-rmse:0.18168 validation_1-rmse:0.11502
|
||
[87] validation_0-rmse:0.18148 validation_1-rmse:0.11451
|
||
[88] validation_0-rmse:0.18093 validation_1-rmse:0.11378
|
||
[89] validation_0-rmse:0.18054 validation_1-rmse:0.11332
|
||
[90] validation_0-rmse:0.18024 validation_1-rmse:0.11285
|
||
[91] validation_0-rmse:0.17982 validation_1-rmse:0.11241
|
||
[92] validation_0-rmse:0.17950 validation_1-rmse:0.11185
|
||
[93] validation_0-rmse:0.17918 validation_1-rmse:0.11123
|
||
[94] validation_0-rmse:0.17882 validation_1-rmse:0.11072
|
||
[95] validation_0-rmse:0.17881 validation_1-rmse:0.10986
|
||
[96] validation_0-rmse:0.17832 validation_1-rmse:0.10941
|
||
[97] validation_0-rmse:0.17800 validation_1-rmse:0.10897
|
||
[98] validation_0-rmse:0.17774 validation_1-rmse:0.10859
|
||
[99] validation_0-rmse:0.17746 validation_1-rmse:0.10819
|
||
2025-04-29 01:56:33,558[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Done training SOL/USDT (6.45 secs) --------------------
|
||
2025-04-29 01:56:33,558[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mSaving metadata to disk.
|
||
2025-04-29 01:56:34,118[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mTraining SOL/USDT, 2/2 pairs from 2025-01-01 00:00:00 to 2025-01-31 00:00:00, 4/11 trains
|
||
2025-04-29 01:56:34,119[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find backtesting prediction file at
|
||
/freqtrade/user_data/models/test175/backtesting_predictions/cb_sol_1738281600_prediction.feather
|
||
2025-04-29 01:56:34,124[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：SOL/USDT
|
||
2025-04-29 01:56:34,130[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(28850,)
|
||
2025-04-29 01:56:34,131[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.002704 49.941408
|
||
1 0.003044 49.941408
|
||
2 0.000465 49.941408
|
||
3 -0.000380 49.941408
|
||
4 0.002829 49.941408
|
||
2025-04-29 01:56:34,137[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：SOL/USDT
|
||
2025-04-29 01:56:34,143[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(33650,)
|
||
2025-04-29 01:56:34,144[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.002704 49.830756
|
||
1 0.003044 49.830756
|
||
2 0.000465 49.830756
|
||
3 -0.000380 49.830756
|
||
4 0.002829 49.830756
|
||
2025-04-29 01:56:34,149[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find model at /freqtrade/user_data/models/test175/sub-train-SOL_1738281600/cb_sol_1738281600
|
||
2025-04-29 01:56:34,150[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Starting training SOL/USDT --------------------
|
||
2025-04-29 01:56:34,173[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mSOL/USDT: dropped 0 training points due to NaNs in populated dataset 14400.
|
||
2025-04-29 01:56:34,173[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Training on data from 2025-01-01 to 2025-01-30 --------------------
|
||
2025-04-29 01:56:39,271[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 111 features
|
||
2025-04-29 01:56:39,271[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 11520 data points
|
||
[0] validation_0-rmse:0.29494 validation_1-rmse:0.28739
|
||
[1] validation_0-rmse:0.28930 validation_1-rmse:0.28164
|
||
[2] validation_0-rmse:0.28437 validation_1-rmse:0.27613
|
||
[3] validation_0-rmse:0.27990 validation_1-rmse:0.27106
|
||
[4] validation_0-rmse:0.27541 validation_1-rmse:0.26617
|
||
[5] validation_0-rmse:0.27070 validation_1-rmse:0.26147
|
||
[6] validation_0-rmse:0.26683 validation_1-rmse:0.25687
|
||
[7] validation_0-rmse:0.26280 validation_1-rmse:0.25263
|
||
[8] validation_0-rmse:0.25916 validation_1-rmse:0.24830
|
||
[9] validation_0-rmse:0.25540 validation_1-rmse:0.24420
|
||
[10] validation_0-rmse:0.25186 validation_1-rmse:0.24022
|
||
[11] validation_0-rmse:0.24829 validation_1-rmse:0.23647
|
||
[12] validation_0-rmse:0.24504 validation_1-rmse:0.23286
|
||
[13] validation_0-rmse:0.24183 validation_1-rmse:0.22943
|
||
[14] validation_0-rmse:0.23870 validation_1-rmse:0.22619
|
||
[15] validation_0-rmse:0.23587 validation_1-rmse:0.22274
|
||
[16] validation_0-rmse:0.23325 validation_1-rmse:0.21951
|
||
[17] validation_0-rmse:0.23045 validation_1-rmse:0.21650
|
||
[18] validation_0-rmse:0.22792 validation_1-rmse:0.21367
|
||
[19] validation_0-rmse:0.22524 validation_1-rmse:0.21092
|
||
[20] validation_0-rmse:0.22293 validation_1-rmse:0.20804
|
||
[21] validation_0-rmse:0.22055 validation_1-rmse:0.20549
|
||
[22] validation_0-rmse:0.21831 validation_1-rmse:0.20307
|
||
[23] validation_0-rmse:0.21601 validation_1-rmse:0.20062
|
||
[24] validation_0-rmse:0.21372 validation_1-rmse:0.19810
|
||
[25] validation_0-rmse:0.21154 validation_1-rmse:0.19580
|
||
[26] validation_0-rmse:0.20966 validation_1-rmse:0.19369
|
||
[27] validation_0-rmse:0.20790 validation_1-rmse:0.19130
|
||
[28] validation_0-rmse:0.20602 validation_1-rmse:0.18921
|
||
[29] validation_0-rmse:0.20418 validation_1-rmse:0.18723
|
||
[30] validation_0-rmse:0.20236 validation_1-rmse:0.18525
|
||
[31] validation_0-rmse:0.20057 validation_1-rmse:0.18324
|
||
[32] validation_0-rmse:0.19900 validation_1-rmse:0.18144
|
||
[33] validation_0-rmse:0.19744 validation_1-rmse:0.17941
|
||
[34] validation_0-rmse:0.19608 validation_1-rmse:0.17767
|
||
[35] validation_0-rmse:0.19467 validation_1-rmse:0.17605
|
||
[36] validation_0-rmse:0.19313 validation_1-rmse:0.17422
|
||
[37] validation_0-rmse:0.19156 validation_1-rmse:0.17260
|
||
[38] validation_0-rmse:0.19020 validation_1-rmse:0.17103
|
||
[39] validation_0-rmse:0.18884 validation_1-rmse:0.16948
|
||
[40] validation_0-rmse:0.18767 validation_1-rmse:0.16797
|
||
[41] validation_0-rmse:0.18636 validation_1-rmse:0.16647
|
||
[42] validation_0-rmse:0.18512 validation_1-rmse:0.16505
|
||
[43] validation_0-rmse:0.18403 validation_1-rmse:0.16340
|
||
[44] validation_0-rmse:0.18290 validation_1-rmse:0.16210
|
||
[45] validation_0-rmse:0.18189 validation_1-rmse:0.16085
|
||
[46] validation_0-rmse:0.18090 validation_1-rmse:0.15966
|
||
[47] validation_0-rmse:0.17992 validation_1-rmse:0.15841
|
||
[48] validation_0-rmse:0.17901 validation_1-rmse:0.15728
|
||
[49] validation_0-rmse:0.17817 validation_1-rmse:0.15582
|
||
[50] validation_0-rmse:0.17697 validation_1-rmse:0.15458
|
||
[51] validation_0-rmse:0.17607 validation_1-rmse:0.15349
|
||
[52] validation_0-rmse:0.17516 validation_1-rmse:0.15235
|
||
[53] validation_0-rmse:0.17425 validation_1-rmse:0.15131
|
||
[54] validation_0-rmse:0.17347 validation_1-rmse:0.15032
|
||
[55] validation_0-rmse:0.17275 validation_1-rmse:0.14932
|
||
[56] validation_0-rmse:0.17211 validation_1-rmse:0.14834
|
||
[57] validation_0-rmse:0.17131 validation_1-rmse:0.14741
|
||
[58] validation_0-rmse:0.17072 validation_1-rmse:0.14617
|
||
[59] validation_0-rmse:0.16999 validation_1-rmse:0.14528
|
||
[60] validation_0-rmse:0.16934 validation_1-rmse:0.14416
|
||
[61] validation_0-rmse:0.16887 validation_1-rmse:0.14321
|
||
[62] validation_0-rmse:0.16842 validation_1-rmse:0.14213
|
||
[63] validation_0-rmse:0.16765 validation_1-rmse:0.14130
|
||
[64] validation_0-rmse:0.16691 validation_1-rmse:0.14048
|
||
[65] validation_0-rmse:0.16629 validation_1-rmse:0.13956
|
||
[66] validation_0-rmse:0.16565 validation_1-rmse:0.13882
|
||
[67] validation_0-rmse:0.16530 validation_1-rmse:0.13793
|
||
[68] validation_0-rmse:0.16467 validation_1-rmse:0.13710
|
||
[69] validation_0-rmse:0.16436 validation_1-rmse:0.13621
|
||
[70] validation_0-rmse:0.16377 validation_1-rmse:0.13542
|
||
[71] validation_0-rmse:0.16334 validation_1-rmse:0.13463
|
||
[72] validation_0-rmse:0.16280 validation_1-rmse:0.13394
|
||
[73] validation_0-rmse:0.16230 validation_1-rmse:0.13328
|
||
[74] validation_0-rmse:0.16156 validation_1-rmse:0.13246
|
||
[75] validation_0-rmse:0.16122 validation_1-rmse:0.13151
|
||
[76] validation_0-rmse:0.16080 validation_1-rmse:0.13080
|
||
[77] validation_0-rmse:0.16033 validation_1-rmse:0.13015
|
||
[78] validation_0-rmse:0.15992 validation_1-rmse:0.12951
|
||
[79] validation_0-rmse:0.15950 validation_1-rmse:0.12888
|
||
[80] validation_0-rmse:0.15909 validation_1-rmse:0.12822
|
||
[81] validation_0-rmse:0.15875 validation_1-rmse:0.12744
|
||
[82] validation_0-rmse:0.15831 validation_1-rmse:0.12683
|
||
[83] validation_0-rmse:0.15786 validation_1-rmse:0.12626
|
||
[84] validation_0-rmse:0.15747 validation_1-rmse:0.12572
|
||
[85] validation_0-rmse:0.15724 validation_1-rmse:0.12495
|
||
[86] validation_0-rmse:0.15695 validation_1-rmse:0.12442
|
||
[87] validation_0-rmse:0.15664 validation_1-rmse:0.12382
|
||
[88] validation_0-rmse:0.15651 validation_1-rmse:0.12326
|
||
[89] validation_0-rmse:0.15629 validation_1-rmse:0.12256
|
||
[90] validation_0-rmse:0.15596 validation_1-rmse:0.12196
|
||
[91] validation_0-rmse:0.15559 validation_1-rmse:0.12141
|
||
[92] validation_0-rmse:0.15511 validation_1-rmse:0.12088
|
||
[93] validation_0-rmse:0.15487 validation_1-rmse:0.12033
|
||
[94] validation_0-rmse:0.15472 validation_1-rmse:0.11975
|
||
[95] validation_0-rmse:0.15438 validation_1-rmse:0.11924
|
||
[96] validation_0-rmse:0.15408 validation_1-rmse:0.11882
|
||
[97] validation_0-rmse:0.15382 validation_1-rmse:0.11819
|
||
[98] validation_0-rmse:0.15350 validation_1-rmse:0.11777
|
||
[99] validation_0-rmse:0.15331 validation_1-rmse:0.11727
|
||
2025-04-29 01:56:40,600[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Done training SOL/USDT (6.45 secs) --------------------
|
||
2025-04-29 01:56:40,601[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mSaving metadata to disk.
|
||
2025-04-29 01:56:41,171[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mTraining SOL/USDT, 2/2 pairs from 2025-01-11 00:00:00 to 2025-02-10 00:00:00, 5/11 trains
|
||
2025-04-29 01:56:41,172[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find backtesting prediction file at
|
||
/freqtrade/user_data/models/test175/backtesting_predictions/cb_sol_1739145600_prediction.feather
|
||
2025-04-29 01:56:41,177[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：SOL/USDT
|
||
2025-04-29 01:56:41,183[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(33650,)
|
||
2025-04-29 01:56:41,185[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.002704 49.830756
|
||
1 0.003044 49.830756
|
||
2 0.000465 49.830756
|
||
3 -0.000380 49.830756
|
||
4 0.002829 49.830756
|
||
2025-04-29 01:56:41,193[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：SOL/USDT
|
||
2025-04-29 01:56:41,200[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(38450,)
|
||
2025-04-29 01:56:41,201[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.002704 49.714422
|
||
1 0.003044 49.714422
|
||
2 0.000465 49.714422
|
||
3 -0.000380 49.714422
|
||
4 0.002829 49.714422
|
||
2025-04-29 01:56:41,206[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find model at /freqtrade/user_data/models/test175/sub-train-SOL_1739145600/cb_sol_1739145600
|
||
2025-04-29 01:56:41,207[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Starting training SOL/USDT --------------------
|
||
2025-04-29 01:56:41,228[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mSOL/USDT: dropped 0 training points due to NaNs in populated dataset 14400.
|
||
2025-04-29 01:56:41,229[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Training on data from 2025-01-11 to 2025-02-09 --------------------
|
||
2025-04-29 01:56:46,277[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 111 features
|
||
2025-04-29 01:56:46,278[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 11520 data points
|
||
[0] validation_0-rmse:0.29889 validation_1-rmse:0.30153
|
||
[1] validation_0-rmse:0.29317 validation_1-rmse:0.29483
|
||
[2] validation_0-rmse:0.28819 validation_1-rmse:0.28860
|
||
[3] validation_0-rmse:0.28336 validation_1-rmse:0.28273
|
||
[4] validation_0-rmse:0.27885 validation_1-rmse:0.27694
|
||
[5] validation_0-rmse:0.27448 validation_1-rmse:0.27155
|
||
[6] validation_0-rmse:0.27020 validation_1-rmse:0.26634
|
||
[7] validation_0-rmse:0.26629 validation_1-rmse:0.26134
|
||
[8] validation_0-rmse:0.26241 validation_1-rmse:0.25653
|
||
[9] validation_0-rmse:0.25876 validation_1-rmse:0.25192
|
||
[10] validation_0-rmse:0.25559 validation_1-rmse:0.24747
|
||
[11] validation_0-rmse:0.25223 validation_1-rmse:0.24337
|
||
[12] validation_0-rmse:0.24904 validation_1-rmse:0.23934
|
||
[13] validation_0-rmse:0.24639 validation_1-rmse:0.23548
|
||
[14] validation_0-rmse:0.24353 validation_1-rmse:0.23187
|
||
[15] validation_0-rmse:0.24076 validation_1-rmse:0.22837
|
||
[16] validation_0-rmse:0.23849 validation_1-rmse:0.22484
|
||
[17] validation_0-rmse:0.23581 validation_1-rmse:0.22147
|
||
[18] validation_0-rmse:0.23342 validation_1-rmse:0.21814
|
||
[19] validation_0-rmse:0.23133 validation_1-rmse:0.21509
|
||
[20] validation_0-rmse:0.22937 validation_1-rmse:0.21187
|
||
[21] validation_0-rmse:0.22713 validation_1-rmse:0.20902
|
||
[22] validation_0-rmse:0.22509 validation_1-rmse:0.20631
|
||
[23] validation_0-rmse:0.22312 validation_1-rmse:0.20373
|
||
[24] validation_0-rmse:0.22123 validation_1-rmse:0.20076
|
||
[25] validation_0-rmse:0.21951 validation_1-rmse:0.19837
|
||
[26] validation_0-rmse:0.21751 validation_1-rmse:0.19562
|
||
[27] validation_0-rmse:0.21589 validation_1-rmse:0.19309
|
||
[28] validation_0-rmse:0.21422 validation_1-rmse:0.19091
|
||
[29] validation_0-rmse:0.21272 validation_1-rmse:0.18879
|
||
[30] validation_0-rmse:0.21119 validation_1-rmse:0.18660
|
||
[31] validation_0-rmse:0.20982 validation_1-rmse:0.18468
|
||
[32] validation_0-rmse:0.20829 validation_1-rmse:0.18239
|
||
[33] validation_0-rmse:0.20681 validation_1-rmse:0.18048
|
||
[34] validation_0-rmse:0.20548 validation_1-rmse:0.17869
|
||
[35] validation_0-rmse:0.20431 validation_1-rmse:0.17665
|
||
[36] validation_0-rmse:0.20297 validation_1-rmse:0.17483
|
||
[37] validation_0-rmse:0.20174 validation_1-rmse:0.17311
|
||
[38] validation_0-rmse:0.20060 validation_1-rmse:0.17153
|
||
[39] validation_0-rmse:0.19951 validation_1-rmse:0.16958
|
||
[40] validation_0-rmse:0.19848 validation_1-rmse:0.16805
|
||
[41] validation_0-rmse:0.19745 validation_1-rmse:0.16652
|
||
[42] validation_0-rmse:0.19647 validation_1-rmse:0.16509
|
||
[43] validation_0-rmse:0.19570 validation_1-rmse:0.16325
|
||
[44] validation_0-rmse:0.19473 validation_1-rmse:0.16187
|
||
[45] validation_0-rmse:0.19397 validation_1-rmse:0.16012
|
||
[46] validation_0-rmse:0.19314 validation_1-rmse:0.15887
|
||
[47] validation_0-rmse:0.19196 validation_1-rmse:0.15723
|
||
[48] validation_0-rmse:0.19096 validation_1-rmse:0.15595
|
||
[49] validation_0-rmse:0.19009 validation_1-rmse:0.15468
|
||
[50] validation_0-rmse:0.18931 validation_1-rmse:0.15355
|
||
[51] validation_0-rmse:0.18864 validation_1-rmse:0.15207
|
||
[52] validation_0-rmse:0.18786 validation_1-rmse:0.15101
|
||
[53] validation_0-rmse:0.18690 validation_1-rmse:0.14960
|
||
[54] validation_0-rmse:0.18614 validation_1-rmse:0.14859
|
||
[55] validation_0-rmse:0.18550 validation_1-rmse:0.14756
|
||
[56] validation_0-rmse:0.18475 validation_1-rmse:0.14647
|
||
[57] validation_0-rmse:0.18405 validation_1-rmse:0.14545
|
||
[58] validation_0-rmse:0.18346 validation_1-rmse:0.14415
|
||
[59] validation_0-rmse:0.18277 validation_1-rmse:0.14321
|
||
[60] validation_0-rmse:0.18219 validation_1-rmse:0.14221
|
||
[61] validation_0-rmse:0.18158 validation_1-rmse:0.14129
|
||
[62] validation_0-rmse:0.18100 validation_1-rmse:0.14043
|
||
[63] validation_0-rmse:0.18059 validation_1-rmse:0.13920
|
||
[64] validation_0-rmse:0.17997 validation_1-rmse:0.13842
|
||
[65] validation_0-rmse:0.17941 validation_1-rmse:0.13754
|
||
[66] validation_0-rmse:0.17881 validation_1-rmse:0.13652
|
||
[67] validation_0-rmse:0.17823 validation_1-rmse:0.13576
|
||
[68] validation_0-rmse:0.17784 validation_1-rmse:0.13468
|
||
[69] validation_0-rmse:0.17735 validation_1-rmse:0.13396
|
||
[70] validation_0-rmse:0.17687 validation_1-rmse:0.13311
|
||
[71] validation_0-rmse:0.17628 validation_1-rmse:0.13225
|
||
[72] validation_0-rmse:0.17599 validation_1-rmse:0.13154
|
||
[73] validation_0-rmse:0.17542 validation_1-rmse:0.13080
|
||
[74] validation_0-rmse:0.17497 validation_1-rmse:0.13013
|
||
[75] validation_0-rmse:0.17456 validation_1-rmse:0.12954
|
||
[76] validation_0-rmse:0.17416 validation_1-rmse:0.12864
|
||
[77] validation_0-rmse:0.17369 validation_1-rmse:0.12802
|
||
[78] validation_0-rmse:0.17345 validation_1-rmse:0.12735
|
||
[79] validation_0-rmse:0.17302 validation_1-rmse:0.12672
|
||
[80] validation_0-rmse:0.17254 validation_1-rmse:0.12609
|
||
[81] validation_0-rmse:0.17248 validation_1-rmse:0.12527
|
||
[82] validation_0-rmse:0.17210 validation_1-rmse:0.12470
|
||
[83] validation_0-rmse:0.17196 validation_1-rmse:0.12398
|
||
[84] validation_0-rmse:0.17189 validation_1-rmse:0.12334
|
||
[85] validation_0-rmse:0.17155 validation_1-rmse:0.12280
|
||
[86] validation_0-rmse:0.17124 validation_1-rmse:0.12230
|
||
[87] validation_0-rmse:0.17103 validation_1-rmse:0.12178
|
||
[88] validation_0-rmse:0.17086 validation_1-rmse:0.12118
|
||
[89] validation_0-rmse:0.17064 validation_1-rmse:0.12049
|
||
[90] validation_0-rmse:0.17029 validation_1-rmse:0.11993
|
||
[91] validation_0-rmse:0.16981 validation_1-rmse:0.11942
|
||
[92] validation_0-rmse:0.16950 validation_1-rmse:0.11894
|
||
[93] validation_0-rmse:0.16937 validation_1-rmse:0.11833
|
||
[94] validation_0-rmse:0.16928 validation_1-rmse:0.11786
|
||
[95] validation_0-rmse:0.16899 validation_1-rmse:0.11735
|
||
[96] validation_0-rmse:0.16869 validation_1-rmse:0.11693
|
||
[97] validation_0-rmse:0.16843 validation_1-rmse:0.11650
|
||
[98] validation_0-rmse:0.16829 validation_1-rmse:0.11591
|
||
[99] validation_0-rmse:0.16802 validation_1-rmse:0.11547
|
||
2025-04-29 01:56:47,778[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Done training SOL/USDT (6.57 secs) --------------------
|
||
2025-04-29 01:56:47,779[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mSaving metadata to disk.
|
||
2025-04-29 01:56:48,320[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mTraining SOL/USDT, 2/2 pairs from 2025-01-21 00:00:00 to 2025-02-20 00:00:00, 6/11 trains
|
||
2025-04-29 01:56:48,321[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find backtesting prediction file at
|
||
/freqtrade/user_data/models/test175/backtesting_predictions/cb_sol_1740009600_prediction.feather
|
||
2025-04-29 01:56:48,327[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：SOL/USDT
|
||
2025-04-29 01:56:48,333[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(38450,)
|
||
2025-04-29 01:56:48,334[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.002704 49.714422
|
||
1 0.003044 49.714422
|
||
2 0.000465 49.714422
|
||
3 -0.000380 49.714422
|
||
4 0.002829 49.714422
|
||
2025-04-29 01:56:48,346[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：SOL/USDT
|
||
2025-04-29 01:56:48,353[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(43250,)
|
||
2025-04-29 01:56:48,354[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.002704 49.626186
|
||
1 0.003044 49.626186
|
||
2 0.000465 49.626186
|
||
3 -0.000380 49.626186
|
||
4 0.002829 49.626186
|
||
2025-04-29 01:56:48,361[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find model at /freqtrade/user_data/models/test175/sub-train-SOL_1740009600/cb_sol_1740009600
|
||
2025-04-29 01:56:48,361[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Starting training SOL/USDT --------------------
|
||
2025-04-29 01:56:48,383[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mSOL/USDT: dropped 0 training points due to NaNs in populated dataset 14400.
|
||
2025-04-29 01:56:48,383[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Training on data from 2025-01-21 to 2025-02-19 --------------------
|
||
2025-04-29 01:56:53,532[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 111 features
|
||
2025-04-29 01:56:53,533[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 11520 data points
|
||
[0] validation_0-rmse:0.29357 validation_1-rmse:0.28852
|
||
[1] validation_0-rmse:0.28850 validation_1-rmse:0.28219
|
||
[2] validation_0-rmse:0.28292 validation_1-rmse:0.27618
|
||
[3] validation_0-rmse:0.27862 validation_1-rmse:0.27046
|
||
[4] validation_0-rmse:0.27383 validation_1-rmse:0.26510
|
||
[5] validation_0-rmse:0.27018 validation_1-rmse:0.25989
|
||
[6] validation_0-rmse:0.26615 validation_1-rmse:0.25477
|
||
[7] validation_0-rmse:0.26234 validation_1-rmse:0.25007
|
||
[8] validation_0-rmse:0.25794 validation_1-rmse:0.24560
|
||
[9] validation_0-rmse:0.25417 validation_1-rmse:0.24109
|
||
[10] validation_0-rmse:0.25083 validation_1-rmse:0.23700
|
||
[11] validation_0-rmse:0.24683 validation_1-rmse:0.23303
|
||
[12] validation_0-rmse:0.24384 validation_1-rmse:0.22908
|
||
[13] validation_0-rmse:0.24093 validation_1-rmse:0.22542
|
||
[14] validation_0-rmse:0.23743 validation_1-rmse:0.22186
|
||
[15] validation_0-rmse:0.23484 validation_1-rmse:0.21841
|
||
[16] validation_0-rmse:0.23215 validation_1-rmse:0.21525
|
||
[17] validation_0-rmse:0.22951 validation_1-rmse:0.21206
|
||
[18] validation_0-rmse:0.22658 validation_1-rmse:0.20906
|
||
[19] validation_0-rmse:0.22440 validation_1-rmse:0.20615
|
||
[20] validation_0-rmse:0.22193 validation_1-rmse:0.20314
|
||
[21] validation_0-rmse:0.22009 validation_1-rmse:0.20016
|
||
[22] validation_0-rmse:0.21755 validation_1-rmse:0.19751
|
||
[23] validation_0-rmse:0.21578 validation_1-rmse:0.19498
|
||
[24] validation_0-rmse:0.21440 validation_1-rmse:0.19241
|
||
[25] validation_0-rmse:0.21229 validation_1-rmse:0.19006
|
||
[26] validation_0-rmse:0.21038 validation_1-rmse:0.18780
|
||
[27] validation_0-rmse:0.20897 validation_1-rmse:0.18529
|
||
[28] validation_0-rmse:0.20703 validation_1-rmse:0.18313
|
||
[29] validation_0-rmse:0.20556 validation_1-rmse:0.18091
|
||
[30] validation_0-rmse:0.20384 validation_1-rmse:0.17884
|
||
[31] validation_0-rmse:0.20281 validation_1-rmse:0.17690
|
||
[32] validation_0-rmse:0.20169 validation_1-rmse:0.17483
|
||
[33] validation_0-rmse:0.20012 validation_1-rmse:0.17300
|
||
[34] validation_0-rmse:0.19876 validation_1-rmse:0.17106
|
||
[35] validation_0-rmse:0.19755 validation_1-rmse:0.16934
|
||
[36] validation_0-rmse:0.19649 validation_1-rmse:0.16752
|
||
[37] validation_0-rmse:0.19501 validation_1-rmse:0.16586
|
||
[38] validation_0-rmse:0.19423 validation_1-rmse:0.16418
|
||
[39] validation_0-rmse:0.19297 validation_1-rmse:0.16264
|
||
[40] validation_0-rmse:0.19162 validation_1-rmse:0.16092
|
||
[41] validation_0-rmse:0.19049 validation_1-rmse:0.15952
|
||
[42] validation_0-rmse:0.18925 validation_1-rmse:0.15810
|
||
[43] validation_0-rmse:0.18845 validation_1-rmse:0.15638
|
||
[44] validation_0-rmse:0.18730 validation_1-rmse:0.15506
|
||
[45] validation_0-rmse:0.18661 validation_1-rmse:0.15357
|
||
[46] validation_0-rmse:0.18563 validation_1-rmse:0.15226
|
||
[47] validation_0-rmse:0.18473 validation_1-rmse:0.15101
|
||
[48] validation_0-rmse:0.18399 validation_1-rmse:0.14957
|
||
[49] validation_0-rmse:0.18304 validation_1-rmse:0.14841
|
||
[50] validation_0-rmse:0.18219 validation_1-rmse:0.14717
|
||
[51] validation_0-rmse:0.18131 validation_1-rmse:0.14599
|
||
[52] validation_0-rmse:0.18043 validation_1-rmse:0.14492
|
||
[53] validation_0-rmse:0.17966 validation_1-rmse:0.14388
|
||
[54] validation_0-rmse:0.17901 validation_1-rmse:0.14274
|
||
[55] validation_0-rmse:0.17850 validation_1-rmse:0.14134
|
||
[56] validation_0-rmse:0.17764 validation_1-rmse:0.14035
|
||
[57] validation_0-rmse:0.17682 validation_1-rmse:0.13937
|
||
[58] validation_0-rmse:0.17604 validation_1-rmse:0.13844
|
||
[59] validation_0-rmse:0.17526 validation_1-rmse:0.13754
|
||
[60] validation_0-rmse:0.17488 validation_1-rmse:0.13621
|
||
[61] validation_0-rmse:0.17432 validation_1-rmse:0.13530
|
||
[62] validation_0-rmse:0.17345 validation_1-rmse:0.13439
|
||
[63] validation_0-rmse:0.17284 validation_1-rmse:0.13358
|
||
[64] validation_0-rmse:0.17213 validation_1-rmse:0.13278
|
||
[65] validation_0-rmse:0.17164 validation_1-rmse:0.13175
|
||
[66] validation_0-rmse:0.17098 validation_1-rmse:0.13088
|
||
[67] validation_0-rmse:0.17049 validation_1-rmse:0.13002
|
||
[68] validation_0-rmse:0.17000 validation_1-rmse:0.12918
|
||
[69] validation_0-rmse:0.16969 validation_1-rmse:0.12815
|
||
[70] validation_0-rmse:0.16917 validation_1-rmse:0.12746
|
||
[71] validation_0-rmse:0.16857 validation_1-rmse:0.12678
|
||
[72] validation_0-rmse:0.16830 validation_1-rmse:0.12595
|
||
[73] validation_0-rmse:0.16793 validation_1-rmse:0.12522
|
||
[74] validation_0-rmse:0.16752 validation_1-rmse:0.12457
|
||
[75] validation_0-rmse:0.16704 validation_1-rmse:0.12395
|
||
[76] validation_0-rmse:0.16668 validation_1-rmse:0.12316
|
||
[77] validation_0-rmse:0.16621 validation_1-rmse:0.12251
|
||
[78] validation_0-rmse:0.16591 validation_1-rmse:0.12185
|
||
[79] validation_0-rmse:0.16550 validation_1-rmse:0.12115
|
||
[80] validation_0-rmse:0.16506 validation_1-rmse:0.12055
|
||
[81] validation_0-rmse:0.16467 validation_1-rmse:0.12001
|
||
[82] validation_0-rmse:0.16422 validation_1-rmse:0.11944
|
||
[83] validation_0-rmse:0.16379 validation_1-rmse:0.11892
|
||
[84] validation_0-rmse:0.16344 validation_1-rmse:0.11825
|
||
[85] validation_0-rmse:0.16317 validation_1-rmse:0.11766
|
||
[86] validation_0-rmse:0.16289 validation_1-rmse:0.11712
|
||
[87] validation_0-rmse:0.16271 validation_1-rmse:0.11639
|
||
[88] validation_0-rmse:0.16236 validation_1-rmse:0.11591
|
||
[89] validation_0-rmse:0.16210 validation_1-rmse:0.11515
|
||
[90] validation_0-rmse:0.16170 validation_1-rmse:0.11457
|
||
[91] validation_0-rmse:0.16149 validation_1-rmse:0.11411
|
||
[92] validation_0-rmse:0.16132 validation_1-rmse:0.11360
|
||
[93] validation_0-rmse:0.16108 validation_1-rmse:0.11292
|
||
[94] validation_0-rmse:0.16077 validation_1-rmse:0.11247
|
||
[95] validation_0-rmse:0.16040 validation_1-rmse:0.11205
|
||
[96] validation_0-rmse:0.16017 validation_1-rmse:0.11157
|
||
[97] validation_0-rmse:0.15988 validation_1-rmse:0.11117
|
||
[98] validation_0-rmse:0.15964 validation_1-rmse:0.11074
|
||
[99] validation_0-rmse:0.15958 validation_1-rmse:0.11029
|
||
2025-04-29 01:56:54,862[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Done training SOL/USDT (6.50 secs) --------------------
|
||
2025-04-29 01:56:54,863[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mSaving metadata to disk.
|
||
2025-04-29 01:56:55,419[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mTraining SOL/USDT, 2/2 pairs from 2025-01-31 00:00:00 to 2025-03-02 00:00:00, 7/11 trains
|
||
2025-04-29 01:56:55,420[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find backtesting prediction file at
|
||
/freqtrade/user_data/models/test175/backtesting_predictions/cb_sol_1740873600_prediction.feather
|
||
2025-04-29 01:56:55,426[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：SOL/USDT
|
||
2025-04-29 01:56:55,433[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(43250,)
|
||
2025-04-29 01:56:55,435[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.002704 49.626186
|
||
1 0.003044 49.626186
|
||
2 0.000465 49.626186
|
||
3 -0.000380 49.626186
|
||
4 0.002829 49.626186
|
||
2025-04-29 01:56:55,445[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：SOL/USDT
|
||
2025-04-29 01:56:55,452[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(48050,)
|
||
2025-04-29 01:56:55,453[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.002704 49.568812
|
||
1 0.003044 49.568812
|
||
2 0.000465 49.568812
|
||
3 -0.000380 49.568812
|
||
4 0.002829 49.568812
|
||
2025-04-29 01:56:55,459[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find model at /freqtrade/user_data/models/test175/sub-train-SOL_1740873600/cb_sol_1740873600
|
||
2025-04-29 01:56:55,459[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Starting training SOL/USDT --------------------
|
||
2025-04-29 01:56:55,481[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mSOL/USDT: dropped 0 training points due to NaNs in populated dataset 14400.
|
||
2025-04-29 01:56:55,482[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Training on data from 2025-01-31 to 2025-03-01 --------------------
|
||
2025-04-29 01:57:00,566[90m - [0m[95mdatasieve.pipeline[0m[90m - [0m[34mINFO[0m[90m - [0mDI tossed 2417 predictions for being too far from training data.
|
||
2025-04-29 01:57:00,569[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 111 features
|
||
2025-04-29 01:57:00,570[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 11520 data points
|
||
[0] validation_0-rmse:0.33058 validation_1-rmse:0.29214
|
||
[1] validation_0-rmse:0.32414 validation_1-rmse:0.28558
|
||
[2] validation_0-rmse:0.31832 validation_1-rmse:0.27962
|
||
[3] validation_0-rmse:0.31280 validation_1-rmse:0.27380
|
||
[4] validation_0-rmse:0.30679 validation_1-rmse:0.26829
|
||
[5] validation_0-rmse:0.30182 validation_1-rmse:0.26306
|
||
[6] validation_0-rmse:0.29686 validation_1-rmse:0.25797
|
||
[7] validation_0-rmse:0.29291 validation_1-rmse:0.25323
|
||
[8] validation_0-rmse:0.28868 validation_1-rmse:0.24871
|
||
[9] validation_0-rmse:0.28559 validation_1-rmse:0.24437
|
||
[10] validation_0-rmse:0.28262 validation_1-rmse:0.24018
|
||
[11] validation_0-rmse:0.27890 validation_1-rmse:0.23606
|
||
[12] validation_0-rmse:0.27663 validation_1-rmse:0.23225
|
||
[13] validation_0-rmse:0.27306 validation_1-rmse:0.22870
|
||
[14] validation_0-rmse:0.26948 validation_1-rmse:0.22493
|
||
[15] validation_0-rmse:0.26663 validation_1-rmse:0.22157
|
||
[16] validation_0-rmse:0.26427 validation_1-rmse:0.21817
|
||
[17] validation_0-rmse:0.26195 validation_1-rmse:0.21492
|
||
[18] validation_0-rmse:0.25856 validation_1-rmse:0.21177
|
||
[19] validation_0-rmse:0.25606 validation_1-rmse:0.20861
|
||
[20] validation_0-rmse:0.25343 validation_1-rmse:0.20580
|
||
[21] validation_0-rmse:0.25243 validation_1-rmse:0.20301
|
||
[22] validation_0-rmse:0.25066 validation_1-rmse:0.20027
|
||
[23] validation_0-rmse:0.24864 validation_1-rmse:0.19761
|
||
[24] validation_0-rmse:0.24630 validation_1-rmse:0.19522
|
||
[25] validation_0-rmse:0.24491 validation_1-rmse:0.19283
|
||
[26] validation_0-rmse:0.24339 validation_1-rmse:0.19036
|
||
[27] validation_0-rmse:0.24108 validation_1-rmse:0.18818
|
||
[28] validation_0-rmse:0.23976 validation_1-rmse:0.18592
|
||
[29] validation_0-rmse:0.23882 validation_1-rmse:0.18348
|
||
[30] validation_0-rmse:0.23676 validation_1-rmse:0.18142
|
||
[31] validation_0-rmse:0.23520 validation_1-rmse:0.17945
|
||
[32] validation_0-rmse:0.23395 validation_1-rmse:0.17754
|
||
[33] validation_0-rmse:0.23229 validation_1-rmse:0.17545
|
||
[34] validation_0-rmse:0.23073 validation_1-rmse:0.17360
|
||
[35] validation_0-rmse:0.22951 validation_1-rmse:0.17182
|
||
[36] validation_0-rmse:0.22806 validation_1-rmse:0.16995
|
||
[37] validation_0-rmse:0.22713 validation_1-rmse:0.16834
|
||
[38] validation_0-rmse:0.22541 validation_1-rmse:0.16668
|
||
[39] validation_0-rmse:0.22393 validation_1-rmse:0.16509
|
||
[40] validation_0-rmse:0.22282 validation_1-rmse:0.16343
|
||
[41] validation_0-rmse:0.22168 validation_1-rmse:0.16185
|
||
[42] validation_0-rmse:0.22085 validation_1-rmse:0.16046
|
||
[43] validation_0-rmse:0.21991 validation_1-rmse:0.15907
|
||
[44] validation_0-rmse:0.21833 validation_1-rmse:0.15756
|
||
[45] validation_0-rmse:0.21710 validation_1-rmse:0.15618
|
||
[46] validation_0-rmse:0.21619 validation_1-rmse:0.15490
|
||
[47] validation_0-rmse:0.21518 validation_1-rmse:0.15345
|
||
[48] validation_0-rmse:0.21402 validation_1-rmse:0.15221
|
||
[49] validation_0-rmse:0.21305 validation_1-rmse:0.15086
|
||
[50] validation_0-rmse:0.21229 validation_1-rmse:0.14968
|
||
[51] validation_0-rmse:0.21119 validation_1-rmse:0.14854
|
||
[52] validation_0-rmse:0.21019 validation_1-rmse:0.14745
|
||
[53] validation_0-rmse:0.20924 validation_1-rmse:0.14637
|
||
[54] validation_0-rmse:0.20982 validation_1-rmse:0.14517
|
||
[55] validation_0-rmse:0.20888 validation_1-rmse:0.14405
|
||
[56] validation_0-rmse:0.20806 validation_1-rmse:0.14305
|
||
[57] validation_0-rmse:0.20822 validation_1-rmse:0.14169
|
||
[58] validation_0-rmse:0.20741 validation_1-rmse:0.14071
|
||
[59] validation_0-rmse:0.20663 validation_1-rmse:0.13976
|
||
[60] validation_0-rmse:0.20602 validation_1-rmse:0.13882
|
||
[61] validation_0-rmse:0.20523 validation_1-rmse:0.13776
|
||
[62] validation_0-rmse:0.20558 validation_1-rmse:0.13689
|
||
[63] validation_0-rmse:0.20501 validation_1-rmse:0.13605
|
||
[64] validation_0-rmse:0.20348 validation_1-rmse:0.13462
|
||
[65] validation_0-rmse:0.20273 validation_1-rmse:0.13382
|
||
[66] validation_0-rmse:0.20203 validation_1-rmse:0.13306
|
||
[67] validation_0-rmse:0.20166 validation_1-rmse:0.13228
|
||
[68] validation_0-rmse:0.20002 validation_1-rmse:0.13102
|
||
[69] validation_0-rmse:0.19928 validation_1-rmse:0.13021
|
||
[70] validation_0-rmse:0.19870 validation_1-rmse:0.12946
|
||
[71] validation_0-rmse:0.19830 validation_1-rmse:0.12876
|
||
[72] validation_0-rmse:0.19814 validation_1-rmse:0.12801
|
||
[73] validation_0-rmse:0.19798 validation_1-rmse:0.12711
|
||
[74] validation_0-rmse:0.19746 validation_1-rmse:0.12649
|
||
[75] validation_0-rmse:0.19701 validation_1-rmse:0.12588
|
||
[76] validation_0-rmse:0.19555 validation_1-rmse:0.12467
|
||
[77] validation_0-rmse:0.19514 validation_1-rmse:0.12407
|
||
[78] validation_0-rmse:0.19468 validation_1-rmse:0.12347
|
||
[79] validation_0-rmse:0.19439 validation_1-rmse:0.12277
|
||
[80] validation_0-rmse:0.19473 validation_1-rmse:0.12220
|
||
[81] validation_0-rmse:0.19448 validation_1-rmse:0.12154
|
||
[82] validation_0-rmse:0.19418 validation_1-rmse:0.12086
|
||
[83] validation_0-rmse:0.19370 validation_1-rmse:0.12030
|
||
[84] validation_0-rmse:0.19346 validation_1-rmse:0.11976
|
||
[85] validation_0-rmse:0.19322 validation_1-rmse:0.11879
|
||
[86] validation_0-rmse:0.19282 validation_1-rmse:0.11819
|
||
[87] validation_0-rmse:0.19226 validation_1-rmse:0.11770
|
||
[88] validation_0-rmse:0.19187 validation_1-rmse:0.11719
|
||
[89] validation_0-rmse:0.19145 validation_1-rmse:0.11671
|
||
[90] validation_0-rmse:0.19134 validation_1-rmse:0.11619
|
||
[91] validation_0-rmse:0.19030 validation_1-rmse:0.11531
|
||
[92] validation_0-rmse:0.18998 validation_1-rmse:0.11487
|
||
[93] validation_0-rmse:0.18945 validation_1-rmse:0.11445
|
||
[94] validation_0-rmse:0.18919 validation_1-rmse:0.11395
|
||
[95] validation_0-rmse:0.18862 validation_1-rmse:0.11324
|
||
[96] validation_0-rmse:0.18824 validation_1-rmse:0.11283
|
||
[97] validation_0-rmse:0.18778 validation_1-rmse:0.11225
|
||
[98] validation_0-rmse:0.18755 validation_1-rmse:0.11186
|
||
[99] validation_0-rmse:0.18742 validation_1-rmse:0.11149
|
||
2025-04-29 01:57:02,441[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Done training SOL/USDT (6.98 secs) --------------------
|
||
2025-04-29 01:57:02,442[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mSaving metadata to disk.
|
||
2025-04-29 01:57:02,968[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mTraining SOL/USDT, 2/2 pairs from 2025-02-10 00:00:00 to 2025-03-12 00:00:00, 8/11 trains
|
||
2025-04-29 01:57:02,968[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find backtesting prediction file at
|
||
/freqtrade/user_data/models/test175/backtesting_predictions/cb_sol_1741737600_prediction.feather
|
||
2025-04-29 01:57:02,980[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：SOL/USDT
|
||
2025-04-29 01:57:02,987[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(48050,)
|
||
2025-04-29 01:57:02,989[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.002704 49.568812
|
||
1 0.003044 49.568812
|
||
2 0.000465 49.568812
|
||
3 -0.000380 49.568812
|
||
4 0.002829 49.568812
|
||
2025-04-29 01:57:03,001[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：SOL/USDT
|
||
2025-04-29 01:57:03,007[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(52850,)
|
||
2025-04-29 01:57:03,009[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.002704 49.623338
|
||
1 0.003044 49.623338
|
||
2 0.000465 49.623338
|
||
3 -0.000380 49.623338
|
||
4 0.002829 49.623338
|
||
2025-04-29 01:57:03,014[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find model at /freqtrade/user_data/models/test175/sub-train-SOL_1741737600/cb_sol_1741737600
|
||
2025-04-29 01:57:03,015[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Starting training SOL/USDT --------------------
|
||
2025-04-29 01:57:03,042[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mSOL/USDT: dropped 0 training points due to NaNs in populated dataset 14400.
|
||
2025-04-29 01:57:03,042[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Training on data from 2025-02-10 to 2025-03-11 --------------------
|
||
2025-04-29 01:57:08,138[90m - [0m[95mdatasieve.pipeline[0m[90m - [0m[34mINFO[0m[90m - [0mDI tossed 3 predictions for being too far from training data.
|
||
2025-04-29 01:57:08,141[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 111 features
|
||
2025-04-29 01:57:08,141[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 11520 data points
|
||
[0] validation_0-rmse:0.25025 validation_1-rmse:0.24842
|
||
[1] validation_0-rmse:0.24557 validation_1-rmse:0.24302
|
||
[2] validation_0-rmse:0.24132 validation_1-rmse:0.23806
|
||
[3] validation_0-rmse:0.23733 validation_1-rmse:0.23332
|
||
[4] validation_0-rmse:0.23376 validation_1-rmse:0.22859
|
||
[5] validation_0-rmse:0.23049 validation_1-rmse:0.22444
|
||
[6] validation_0-rmse:0.22702 validation_1-rmse:0.22025
|
||
[7] validation_0-rmse:0.22380 validation_1-rmse:0.21631
|
||
[8] validation_0-rmse:0.22066 validation_1-rmse:0.21250
|
||
[9] validation_0-rmse:0.21772 validation_1-rmse:0.20892
|
||
[10] validation_0-rmse:0.21473 validation_1-rmse:0.20536
|
||
[11] validation_0-rmse:0.21219 validation_1-rmse:0.20211
|
||
[12] validation_0-rmse:0.20968 validation_1-rmse:0.19897
|
||
[13] validation_0-rmse:0.20730 validation_1-rmse:0.19597
|
||
[14] validation_0-rmse:0.20552 validation_1-rmse:0.19281
|
||
[15] validation_0-rmse:0.20361 validation_1-rmse:0.18992
|
||
[16] validation_0-rmse:0.20165 validation_1-rmse:0.18721
|
||
[17] validation_0-rmse:0.19948 validation_1-rmse:0.18463
|
||
[18] validation_0-rmse:0.19807 validation_1-rmse:0.18193
|
||
[19] validation_0-rmse:0.19703 validation_1-rmse:0.17939
|
||
[20] validation_0-rmse:0.19569 validation_1-rmse:0.17683
|
||
[21] validation_0-rmse:0.19388 validation_1-rmse:0.17462
|
||
[22] validation_0-rmse:0.19219 validation_1-rmse:0.17240
|
||
[23] validation_0-rmse:0.19062 validation_1-rmse:0.17026
|
||
[24] validation_0-rmse:0.18933 validation_1-rmse:0.16813
|
||
[25] validation_0-rmse:0.18829 validation_1-rmse:0.16598
|
||
[26] validation_0-rmse:0.18704 validation_1-rmse:0.16411
|
||
[27] validation_0-rmse:0.18563 validation_1-rmse:0.16221
|
||
[28] validation_0-rmse:0.18446 validation_1-rmse:0.16034
|
||
[29] validation_0-rmse:0.18316 validation_1-rmse:0.15841
|
||
[30] validation_0-rmse:0.18192 validation_1-rmse:0.15674
|
||
[31] validation_0-rmse:0.18091 validation_1-rmse:0.15479
|
||
[32] validation_0-rmse:0.18003 validation_1-rmse:0.15312
|
||
[33] validation_0-rmse:0.17886 validation_1-rmse:0.15150
|
||
[34] validation_0-rmse:0.17786 validation_1-rmse:0.14997
|
||
[35] validation_0-rmse:0.17692 validation_1-rmse:0.14855
|
||
[36] validation_0-rmse:0.17613 validation_1-rmse:0.14709
|
||
[37] validation_0-rmse:0.17547 validation_1-rmse:0.14549
|
||
[38] validation_0-rmse:0.17467 validation_1-rmse:0.14404
|
||
[39] validation_0-rmse:0.17393 validation_1-rmse:0.14267
|
||
[40] validation_0-rmse:0.17348 validation_1-rmse:0.14118
|
||
[41] validation_0-rmse:0.17258 validation_1-rmse:0.13993
|
||
[42] validation_0-rmse:0.17168 validation_1-rmse:0.13871
|
||
[43] validation_0-rmse:0.17077 validation_1-rmse:0.13757
|
||
[44] validation_0-rmse:0.17015 validation_1-rmse:0.13621
|
||
[45] validation_0-rmse:0.16924 validation_1-rmse:0.13509
|
||
[46] validation_0-rmse:0.16833 validation_1-rmse:0.13401
|
||
[47] validation_0-rmse:0.16756 validation_1-rmse:0.13297
|
||
[48] validation_0-rmse:0.16717 validation_1-rmse:0.13198
|
||
[49] validation_0-rmse:0.16664 validation_1-rmse:0.13081
|
||
[50] validation_0-rmse:0.16615 validation_1-rmse:0.12979
|
||
[51] validation_0-rmse:0.16541 validation_1-rmse:0.12879
|
||
[52] validation_0-rmse:0.16478 validation_1-rmse:0.12767
|
||
[53] validation_0-rmse:0.16408 validation_1-rmse:0.12675
|
||
[54] validation_0-rmse:0.16363 validation_1-rmse:0.12571
|
||
[55] validation_0-rmse:0.16320 validation_1-rmse:0.12485
|
||
[56] validation_0-rmse:0.16253 validation_1-rmse:0.12398
|
||
[57] validation_0-rmse:0.16192 validation_1-rmse:0.12307
|
||
[58] validation_0-rmse:0.16149 validation_1-rmse:0.12229
|
||
[59] validation_0-rmse:0.16137 validation_1-rmse:0.12128
|
||
[60] validation_0-rmse:0.16117 validation_1-rmse:0.12045
|
||
[61] validation_0-rmse:0.16064 validation_1-rmse:0.11966
|
||
[62] validation_0-rmse:0.16050 validation_1-rmse:0.11890
|
||
[63] validation_0-rmse:0.16003 validation_1-rmse:0.11809
|
||
[64] validation_0-rmse:0.15969 validation_1-rmse:0.11739
|
||
[65] validation_0-rmse:0.15922 validation_1-rmse:0.11661
|
||
[66] validation_0-rmse:0.15868 validation_1-rmse:0.11577
|
||
[67] validation_0-rmse:0.15830 validation_1-rmse:0.11509
|
||
[68] validation_0-rmse:0.15789 validation_1-rmse:0.11446
|
||
[69] validation_0-rmse:0.15733 validation_1-rmse:0.11372
|
||
[70] validation_0-rmse:0.15694 validation_1-rmse:0.11307
|
||
[71] validation_0-rmse:0.15692 validation_1-rmse:0.11224
|
||
[72] validation_0-rmse:0.15659 validation_1-rmse:0.11166
|
||
[73] validation_0-rmse:0.15634 validation_1-rmse:0.11111
|
||
[74] validation_0-rmse:0.15595 validation_1-rmse:0.11056
|
||
[75] validation_0-rmse:0.15579 validation_1-rmse:0.10985
|
||
[76] validation_0-rmse:0.15543 validation_1-rmse:0.10903
|
||
[77] validation_0-rmse:0.15500 validation_1-rmse:0.10848
|
||
[78] validation_0-rmse:0.15499 validation_1-rmse:0.10778
|
||
[79] validation_0-rmse:0.15471 validation_1-rmse:0.10721
|
||
[80] validation_0-rmse:0.15442 validation_1-rmse:0.10666
|
||
[81] validation_0-rmse:0.15416 validation_1-rmse:0.10608
|
||
[82] validation_0-rmse:0.15388 validation_1-rmse:0.10560
|
||
[83] validation_0-rmse:0.15368 validation_1-rmse:0.10498
|
||
[84] validation_0-rmse:0.15346 validation_1-rmse:0.10449
|
||
[85] validation_0-rmse:0.15329 validation_1-rmse:0.10392
|
||
[86] validation_0-rmse:0.15302 validation_1-rmse:0.10347
|
||
[87] validation_0-rmse:0.15270 validation_1-rmse:0.10303
|
||
[88] validation_0-rmse:0.15259 validation_1-rmse:0.10258
|
||
[89] validation_0-rmse:0.15269 validation_1-rmse:0.10204
|
||
[90] validation_0-rmse:0.15239 validation_1-rmse:0.10159
|
||
[91] validation_0-rmse:0.15204 validation_1-rmse:0.10116
|
||
[92] validation_0-rmse:0.15175 validation_1-rmse:0.10070
|
||
[93] validation_0-rmse:0.15167 validation_1-rmse:0.10017
|
||
[94] validation_0-rmse:0.15154 validation_1-rmse:0.09982
|
||
[95] validation_0-rmse:0.15122 validation_1-rmse:0.09932
|
||
[96] validation_0-rmse:0.15119 validation_1-rmse:0.09880
|
||
[97] validation_0-rmse:0.15112 validation_1-rmse:0.09842
|
||
[98] validation_0-rmse:0.15095 validation_1-rmse:0.09807
|
||
[99] validation_0-rmse:0.15075 validation_1-rmse:0.09770
|
||
2025-04-29 01:57:09,614[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Done training SOL/USDT (6.60 secs) --------------------
|
||
2025-04-29 01:57:09,615[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mSaving metadata to disk.
|
||
2025-04-29 01:57:10,150[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mTraining SOL/USDT, 2/2 pairs from 2025-02-20 00:00:00 to 2025-03-22 00:00:00, 9/11 trains
|
||
2025-04-29 01:57:10,151[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find backtesting prediction file at
|
||
/freqtrade/user_data/models/test175/backtesting_predictions/cb_sol_1742601600_prediction.feather
|
||
2025-04-29 01:57:10,159[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：SOL/USDT
|
||
2025-04-29 01:57:10,167[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(52850,)
|
||
2025-04-29 01:57:10,168[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.002704 49.623338
|
||
1 0.003044 49.623338
|
||
2 0.000465 49.623338
|
||
3 -0.000380 49.623338
|
||
4 0.002829 49.623338
|
||
2025-04-29 01:57:10,181[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：SOL/USDT
|
||
2025-04-29 01:57:10,188[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(57650,)
|
||
2025-04-29 01:57:10,190[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.002704 49.644115
|
||
1 0.003044 49.644115
|
||
2 0.000465 49.644115
|
||
3 -0.000380 49.644115
|
||
4 0.002829 49.644115
|
||
2025-04-29 01:57:10,195[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find model at /freqtrade/user_data/models/test175/sub-train-SOL_1742601600/cb_sol_1742601600
|
||
2025-04-29 01:57:10,196[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Starting training SOL/USDT --------------------
|
||
2025-04-29 01:57:10,218[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mSOL/USDT: dropped 0 training points due to NaNs in populated dataset 14400.
|
||
2025-04-29 01:57:10,218[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Training on data from 2025-02-20 to 2025-03-21 --------------------
|
||
2025-04-29 01:57:15,185[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 111 features
|
||
2025-04-29 01:57:15,186[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 11520 data points
|
||
[0] validation_0-rmse:0.24126 validation_1-rmse:0.24985
|
||
[1] validation_0-rmse:0.23710 validation_1-rmse:0.24457
|
||
[2] validation_0-rmse:0.23323 validation_1-rmse:0.23968
|
||
[3] validation_0-rmse:0.22960 validation_1-rmse:0.23491
|
||
[4] validation_0-rmse:0.22600 validation_1-rmse:0.23038
|
||
[5] validation_0-rmse:0.22255 validation_1-rmse:0.22616
|
||
[6] validation_0-rmse:0.21946 validation_1-rmse:0.22213
|
||
[7] validation_0-rmse:0.21640 validation_1-rmse:0.21827
|
||
[8] validation_0-rmse:0.21381 validation_1-rmse:0.21453
|
||
[9] validation_0-rmse:0.21110 validation_1-rmse:0.21092
|
||
[10] validation_0-rmse:0.20854 validation_1-rmse:0.20742
|
||
[11] validation_0-rmse:0.20586 validation_1-rmse:0.20418
|
||
[12] validation_0-rmse:0.20373 validation_1-rmse:0.20097
|
||
[13] validation_0-rmse:0.20156 validation_1-rmse:0.19779
|
||
[14] validation_0-rmse:0.19934 validation_1-rmse:0.19493
|
||
[15] validation_0-rmse:0.19739 validation_1-rmse:0.19211
|
||
[16] validation_0-rmse:0.19537 validation_1-rmse:0.18929
|
||
[17] validation_0-rmse:0.19333 validation_1-rmse:0.18671
|
||
[18] validation_0-rmse:0.19163 validation_1-rmse:0.18396
|
||
[19] validation_0-rmse:0.18975 validation_1-rmse:0.18157
|
||
[20] validation_0-rmse:0.18799 validation_1-rmse:0.17903
|
||
[21] validation_0-rmse:0.18612 validation_1-rmse:0.17673
|
||
[22] validation_0-rmse:0.18451 validation_1-rmse:0.17454
|
||
[23] validation_0-rmse:0.18299 validation_1-rmse:0.17225
|
||
[24] validation_0-rmse:0.18150 validation_1-rmse:0.17025
|
||
[25] validation_0-rmse:0.18016 validation_1-rmse:0.16803
|
||
[26] validation_0-rmse:0.17866 validation_1-rmse:0.16614
|
||
[27] validation_0-rmse:0.17732 validation_1-rmse:0.16429
|
||
[28] validation_0-rmse:0.17619 validation_1-rmse:0.16247
|
||
[29] validation_0-rmse:0.17494 validation_1-rmse:0.16080
|
||
[30] validation_0-rmse:0.17391 validation_1-rmse:0.15889
|
||
[31] validation_0-rmse:0.17282 validation_1-rmse:0.15724
|
||
[32] validation_0-rmse:0.17156 validation_1-rmse:0.15548
|
||
[33] validation_0-rmse:0.17054 validation_1-rmse:0.15393
|
||
[34] validation_0-rmse:0.16943 validation_1-rmse:0.15244
|
||
[35] validation_0-rmse:0.16841 validation_1-rmse:0.15088
|
||
[36] validation_0-rmse:0.16736 validation_1-rmse:0.14950
|
||
[37] validation_0-rmse:0.16647 validation_1-rmse:0.14797
|
||
[38] validation_0-rmse:0.16544 validation_1-rmse:0.14641
|
||
[39] validation_0-rmse:0.16454 validation_1-rmse:0.14508
|
||
[40] validation_0-rmse:0.16357 validation_1-rmse:0.14380
|
||
[41] validation_0-rmse:0.16266 validation_1-rmse:0.14261
|
||
[42] validation_0-rmse:0.16198 validation_1-rmse:0.14134
|
||
[43] validation_0-rmse:0.16105 validation_1-rmse:0.14019
|
||
[44] validation_0-rmse:0.16046 validation_1-rmse:0.13896
|
||
[45] validation_0-rmse:0.15963 validation_1-rmse:0.13773
|
||
[46] validation_0-rmse:0.15899 validation_1-rmse:0.13662
|
||
[47] validation_0-rmse:0.15822 validation_1-rmse:0.13555
|
||
[48] validation_0-rmse:0.15757 validation_1-rmse:0.13452
|
||
[49] validation_0-rmse:0.15688 validation_1-rmse:0.13322
|
||
[50] validation_0-rmse:0.15627 validation_1-rmse:0.13206
|
||
[51] validation_0-rmse:0.15558 validation_1-rmse:0.13110
|
||
[52] validation_0-rmse:0.15493 validation_1-rmse:0.13017
|
||
[53] validation_0-rmse:0.15429 validation_1-rmse:0.12924
|
||
[54] validation_0-rmse:0.15365 validation_1-rmse:0.12838
|
||
[55] validation_0-rmse:0.15303 validation_1-rmse:0.12741
|
||
[56] validation_0-rmse:0.15258 validation_1-rmse:0.12653
|
||
[57] validation_0-rmse:0.15202 validation_1-rmse:0.12569
|
||
[58] validation_0-rmse:0.15142 validation_1-rmse:0.12478
|
||
[59] validation_0-rmse:0.15106 validation_1-rmse:0.12392
|
||
[60] validation_0-rmse:0.15049 validation_1-rmse:0.12297
|
||
[61] validation_0-rmse:0.14990 validation_1-rmse:0.12223
|
||
[62] validation_0-rmse:0.14932 validation_1-rmse:0.12144
|
||
[63] validation_0-rmse:0.14876 validation_1-rmse:0.12071
|
||
[64] validation_0-rmse:0.14826 validation_1-rmse:0.12000
|
||
[65] validation_0-rmse:0.14788 validation_1-rmse:0.11931
|
||
[66] validation_0-rmse:0.14753 validation_1-rmse:0.11842
|
||
[67] validation_0-rmse:0.14714 validation_1-rmse:0.11776
|
||
[68] validation_0-rmse:0.14665 validation_1-rmse:0.11706
|
||
[69] validation_0-rmse:0.14655 validation_1-rmse:0.11614
|
||
[70] validation_0-rmse:0.14616 validation_1-rmse:0.11556
|
||
[71] validation_0-rmse:0.14579 validation_1-rmse:0.11478
|
||
[72] validation_0-rmse:0.14533 validation_1-rmse:0.11418
|
||
[73] validation_0-rmse:0.14491 validation_1-rmse:0.11358
|
||
[74] validation_0-rmse:0.14448 validation_1-rmse:0.11300
|
||
[75] validation_0-rmse:0.14446 validation_1-rmse:0.11235
|
||
[76] validation_0-rmse:0.14414 validation_1-rmse:0.11173
|
||
[77] validation_0-rmse:0.14371 validation_1-rmse:0.11116
|
||
[78] validation_0-rmse:0.14344 validation_1-rmse:0.11066
|
||
[79] validation_0-rmse:0.14321 validation_1-rmse:0.10996
|
||
[80] validation_0-rmse:0.14280 validation_1-rmse:0.10942
|
||
[81] validation_0-rmse:0.14250 validation_1-rmse:0.10885
|
||
[82] validation_0-rmse:0.14222 validation_1-rmse:0.10837
|
||
[83] validation_0-rmse:0.14184 validation_1-rmse:0.10787
|
||
[84] validation_0-rmse:0.14140 validation_1-rmse:0.10731
|
||
[85] validation_0-rmse:0.14114 validation_1-rmse:0.10683
|
||
[86] validation_0-rmse:0.14100 validation_1-rmse:0.10625
|
||
[87] validation_0-rmse:0.14077 validation_1-rmse:0.10574
|
||
[88] validation_0-rmse:0.14048 validation_1-rmse:0.10534
|
||
[89] validation_0-rmse:0.14010 validation_1-rmse:0.10485
|
||
[90] validation_0-rmse:0.13990 validation_1-rmse:0.10443
|
||
[91] validation_0-rmse:0.13956 validation_1-rmse:0.10400
|
||
[92] validation_0-rmse:0.13949 validation_1-rmse:0.10341
|
||
[93] validation_0-rmse:0.13930 validation_1-rmse:0.10298
|
||
[94] validation_0-rmse:0.13905 validation_1-rmse:0.10254
|
||
[95] validation_0-rmse:0.13884 validation_1-rmse:0.10211
|
||
[96] validation_0-rmse:0.13867 validation_1-rmse:0.10167
|
||
[97] validation_0-rmse:0.13859 validation_1-rmse:0.10114
|
||
[98] validation_0-rmse:0.13839 validation_1-rmse:0.10078
|
||
[99] validation_0-rmse:0.13818 validation_1-rmse:0.10038
|
||
2025-04-29 01:57:16,538[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Done training SOL/USDT (6.34 secs) --------------------
|
||
2025-04-29 01:57:16,539[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mSaving metadata to disk.
|
||
2025-04-29 01:57:17,068[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mTraining SOL/USDT, 2/2 pairs from 2025-03-02 00:00:00 to 2025-04-01 00:00:00, 10/11 trains
|
||
2025-04-29 01:57:17,069[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find backtesting prediction file at
|
||
/freqtrade/user_data/models/test175/backtesting_predictions/cb_sol_1743465600_prediction.feather
|
||
2025-04-29 01:57:17,084[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：SOL/USDT
|
||
2025-04-29 01:57:17,092[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(57650,)
|
||
2025-04-29 01:57:17,094[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.002704 49.644115
|
||
1 0.003044 49.644115
|
||
2 0.000465 49.644115
|
||
3 -0.000380 49.644115
|
||
4 0.002829 49.644115
|
||
2025-04-29 01:57:17,108[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：SOL/USDT
|
||
2025-04-29 01:57:17,115[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(62450,)
|
||
2025-04-29 01:57:17,117[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.002704 49.601082
|
||
1 0.003044 49.601082
|
||
2 0.000465 49.601082
|
||
3 -0.000380 49.601082
|
||
4 0.002829 49.601082
|
||
2025-04-29 01:57:17,124[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find model at /freqtrade/user_data/models/test175/sub-train-SOL_1743465600/cb_sol_1743465600
|
||
2025-04-29 01:57:17,125[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Starting training SOL/USDT --------------------
|
||
2025-04-29 01:57:17,151[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mSOL/USDT: dropped 0 training points due to NaNs in populated dataset 14400.
|
||
2025-04-29 01:57:17,151[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Training on data from 2025-03-02 to 2025-03-31 --------------------
|
||
2025-04-29 01:57:22,430[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 111 features
|
||
2025-04-29 01:57:22,430[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 11520 data points
|
||
[0] validation_0-rmse:0.23717 validation_1-rmse:0.24954
|
||
[1] validation_0-rmse:0.23311 validation_1-rmse:0.24432
|
||
[2] validation_0-rmse:0.22894 validation_1-rmse:0.23928
|
||
[3] validation_0-rmse:0.22483 validation_1-rmse:0.23452
|
||
[4] validation_0-rmse:0.22141 validation_1-rmse:0.23005
|
||
[5] validation_0-rmse:0.21750 validation_1-rmse:0.22575
|
||
[6] validation_0-rmse:0.21419 validation_1-rmse:0.22161
|
||
[7] validation_0-rmse:0.21074 validation_1-rmse:0.21764
|
||
[8] validation_0-rmse:0.20776 validation_1-rmse:0.21374
|
||
[9] validation_0-rmse:0.20479 validation_1-rmse:0.21020
|
||
[10] validation_0-rmse:0.20193 validation_1-rmse:0.20664
|
||
[11] validation_0-rmse:0.19915 validation_1-rmse:0.20326
|
||
[12] validation_0-rmse:0.19683 validation_1-rmse:0.20013
|
||
[13] validation_0-rmse:0.19459 validation_1-rmse:0.19705
|
||
[14] validation_0-rmse:0.19243 validation_1-rmse:0.19415
|
||
[15] validation_0-rmse:0.19013 validation_1-rmse:0.19115
|
||
[16] validation_0-rmse:0.18828 validation_1-rmse:0.18836
|
||
[17] validation_0-rmse:0.18621 validation_1-rmse:0.18557
|
||
[18] validation_0-rmse:0.18402 validation_1-rmse:0.18302
|
||
[19] validation_0-rmse:0.18198 validation_1-rmse:0.18050
|
||
[20] validation_0-rmse:0.18015 validation_1-rmse:0.17803
|
||
[21] validation_0-rmse:0.17857 validation_1-rmse:0.17575
|
||
[22] validation_0-rmse:0.17681 validation_1-rmse:0.17350
|
||
[23] validation_0-rmse:0.17537 validation_1-rmse:0.17132
|
||
[24] validation_0-rmse:0.17377 validation_1-rmse:0.16919
|
||
[25] validation_0-rmse:0.17225 validation_1-rmse:0.16720
|
||
[26] validation_0-rmse:0.17072 validation_1-rmse:0.16529
|
||
[27] validation_0-rmse:0.16931 validation_1-rmse:0.16310
|
||
[28] validation_0-rmse:0.16784 validation_1-rmse:0.16126
|
||
[29] validation_0-rmse:0.16650 validation_1-rmse:0.15940
|
||
[30] validation_0-rmse:0.16512 validation_1-rmse:0.15771
|
||
[31] validation_0-rmse:0.16392 validation_1-rmse:0.15605
|
||
[32] validation_0-rmse:0.16287 validation_1-rmse:0.15428
|
||
[33] validation_0-rmse:0.16159 validation_1-rmse:0.15277
|
||
[34] validation_0-rmse:0.16033 validation_1-rmse:0.15125
|
||
[35] validation_0-rmse:0.15910 validation_1-rmse:0.14974
|
||
[36] validation_0-rmse:0.15821 validation_1-rmse:0.14832
|
||
[37] validation_0-rmse:0.15733 validation_1-rmse:0.14664
|
||
[38] validation_0-rmse:0.15624 validation_1-rmse:0.14525
|
||
[39] validation_0-rmse:0.15518 validation_1-rmse:0.14395
|
||
[40] validation_0-rmse:0.15451 validation_1-rmse:0.14267
|
||
[41] validation_0-rmse:0.15396 validation_1-rmse:0.14127
|
||
[42] validation_0-rmse:0.15309 validation_1-rmse:0.14006
|
||
[43] validation_0-rmse:0.15219 validation_1-rmse:0.13890
|
||
[44] validation_0-rmse:0.15156 validation_1-rmse:0.13749
|
||
[45] validation_0-rmse:0.15061 validation_1-rmse:0.13637
|
||
[46] validation_0-rmse:0.14982 validation_1-rmse:0.13528
|
||
[47] validation_0-rmse:0.14918 validation_1-rmse:0.13414
|
||
[48] validation_0-rmse:0.14840 validation_1-rmse:0.13312
|
||
[49] validation_0-rmse:0.14802 validation_1-rmse:0.13212
|
||
[50] validation_0-rmse:0.14738 validation_1-rmse:0.13089
|
||
[51] validation_0-rmse:0.14671 validation_1-rmse:0.12994
|
||
[52] validation_0-rmse:0.14604 validation_1-rmse:0.12894
|
||
[53] validation_0-rmse:0.14534 validation_1-rmse:0.12802
|
||
[54] validation_0-rmse:0.14464 validation_1-rmse:0.12718
|
||
[55] validation_0-rmse:0.14423 validation_1-rmse:0.12625
|
||
[56] validation_0-rmse:0.14371 validation_1-rmse:0.12531
|
||
[57] validation_0-rmse:0.14321 validation_1-rmse:0.12446
|
||
[58] validation_0-rmse:0.14279 validation_1-rmse:0.12346
|
||
[59] validation_0-rmse:0.14234 validation_1-rmse:0.12257
|
||
[60] validation_0-rmse:0.14194 validation_1-rmse:0.12181
|
||
[61] validation_0-rmse:0.14176 validation_1-rmse:0.12077
|
||
[62] validation_0-rmse:0.14120 validation_1-rmse:0.12003
|
||
[63] validation_0-rmse:0.14073 validation_1-rmse:0.11932
|
||
[64] validation_0-rmse:0.14023 validation_1-rmse:0.11862
|
||
[65] validation_0-rmse:0.14001 validation_1-rmse:0.11791
|
||
[66] validation_0-rmse:0.13966 validation_1-rmse:0.11720
|
||
[67] validation_0-rmse:0.13920 validation_1-rmse:0.11644
|
||
[68] validation_0-rmse:0.13872 validation_1-rmse:0.11560
|
||
[69] validation_0-rmse:0.13831 validation_1-rmse:0.11494
|
||
[70] validation_0-rmse:0.13808 validation_1-rmse:0.11425
|
||
[71] validation_0-rmse:0.13762 validation_1-rmse:0.11348
|
||
[72] validation_0-rmse:0.13725 validation_1-rmse:0.11284
|
||
[73] validation_0-rmse:0.13681 validation_1-rmse:0.11225
|
||
[74] validation_0-rmse:0.13629 validation_1-rmse:0.11165
|
||
[75] validation_0-rmse:0.13595 validation_1-rmse:0.11109
|
||
[76] validation_0-rmse:0.13585 validation_1-rmse:0.11023
|
||
[77] validation_0-rmse:0.13541 validation_1-rmse:0.10972
|
||
[78] validation_0-rmse:0.13505 validation_1-rmse:0.10920
|
||
[79] validation_0-rmse:0.13465 validation_1-rmse:0.10861
|
||
[80] validation_0-rmse:0.13433 validation_1-rmse:0.10810
|
||
[81] validation_0-rmse:0.13409 validation_1-rmse:0.10744
|
||
[82] validation_0-rmse:0.13377 validation_1-rmse:0.10695
|
||
[83] validation_0-rmse:0.13353 validation_1-rmse:0.10641
|
||
[84] validation_0-rmse:0.13337 validation_1-rmse:0.10588
|
||
[85] validation_0-rmse:0.13329 validation_1-rmse:0.10533
|
||
[86] validation_0-rmse:0.13296 validation_1-rmse:0.10488
|
||
[87] validation_0-rmse:0.13264 validation_1-rmse:0.10442
|
||
[88] validation_0-rmse:0.13247 validation_1-rmse:0.10394
|
||
[89] validation_0-rmse:0.13216 validation_1-rmse:0.10351
|
||
[90] validation_0-rmse:0.13188 validation_1-rmse:0.10297
|
||
[91] validation_0-rmse:0.13145 validation_1-rmse:0.10203
|
||
[92] validation_0-rmse:0.13122 validation_1-rmse:0.10157
|
||
[93] validation_0-rmse:0.13102 validation_1-rmse:0.10118
|
||
[94] validation_0-rmse:0.13060 validation_1-rmse:0.10033
|
||
[95] validation_0-rmse:0.13033 validation_1-rmse:0.09981
|
||
[96] validation_0-rmse:0.13016 validation_1-rmse:0.09933
|
||
[97] validation_0-rmse:0.12995 validation_1-rmse:0.09894
|
||
[98] validation_0-rmse:0.12972 validation_1-rmse:0.09860
|
||
[99] validation_0-rmse:0.12954 validation_1-rmse:0.09825
|
||
2025-04-29 01:57:23,725[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Done training SOL/USDT (6.60 secs) --------------------
|
||
2025-04-29 01:57:23,726[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mSaving metadata to disk.
|
||
2025-04-29 01:57:24,305[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mTraining SOL/USDT, 2/2 pairs from 2025-03-12 00:00:00 to 2025-04-11 00:00:00, 11/11 trains
|
||
2025-04-29 01:57:24,305[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find backtesting prediction file at
|
||
/freqtrade/user_data/models/test175/backtesting_predictions/cb_sol_1744329600_prediction.feather
|
||
2025-04-29 01:57:24,318[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：SOL/USDT
|
||
2025-04-29 01:57:24,325[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(62450,)
|
||
2025-04-29 01:57:24,327[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.002704 49.601082
|
||
1 0.003044 49.601082
|
||
2 0.000465 49.601082
|
||
3 -0.000380 49.601082
|
||
4 0.002829 49.601082
|
||
2025-04-29 01:57:24,337[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m设置 FreqAI 目标，交易对：SOL/USDT
|
||
2025-04-29 01:57:24,345[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列形状：(66770,)
|
||
2025-04-29 01:57:24,346[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m目标列预览：
|
||
up_or_down &-buy_rsi
|
||
0 0.002704 49.729824
|
||
1 0.003044 49.729824
|
||
2 0.000465 49.729824
|
||
3 -0.000380 49.729824
|
||
4 0.002829 49.729824
|
||
2025-04-29 01:57:24,352[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mCould not find model at /freqtrade/user_data/models/test175/sub-train-SOL_1744329600/cb_sol_1744329600
|
||
2025-04-29 01:57:24,353[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Starting training SOL/USDT --------------------
|
||
2025-04-29 01:57:24,376[90m - [0m[95mfreqtrade.freqai.data_kitchen[0m[90m - [0m[34mINFO[0m[90m - [0mSOL/USDT: dropped 0 training points due to NaNs in populated dataset 14400.
|
||
2025-04-29 01:57:24,376[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Training on data from 2025-03-12 to 2025-04-10 --------------------
|
||
2025-04-29 01:57:29,392[90m - [0m[95mdatasieve.pipeline[0m[90m - [0m[34mINFO[0m[90m - [0mDI tossed 1948 predictions for being too far from training data.
|
||
2025-04-29 01:57:29,396[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 111 features
|
||
2025-04-29 01:57:29,396[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0mTraining model on 11520 data points
|
||
[0] validation_0-rmse:0.30616 validation_1-rmse:0.27906
|
||
[1] validation_0-rmse:0.30021 validation_1-rmse:0.27322
|
||
[2] validation_0-rmse:0.29443 validation_1-rmse:0.26757
|
||
[3] validation_0-rmse:0.28911 validation_1-rmse:0.26205
|
||
[4] validation_0-rmse:0.28365 validation_1-rmse:0.25699
|
||
[5] validation_0-rmse:0.27823 validation_1-rmse:0.25219
|
||
[6] validation_0-rmse:0.27295 validation_1-rmse:0.24748
|
||
[7] validation_0-rmse:0.26797 validation_1-rmse:0.24295
|
||
[8] validation_0-rmse:0.26320 validation_1-rmse:0.23854
|
||
[9] validation_0-rmse:0.25898 validation_1-rmse:0.23437
|
||
[10] validation_0-rmse:0.25517 validation_1-rmse:0.23021
|
||
[11] validation_0-rmse:0.25113 validation_1-rmse:0.22639
|
||
[12] validation_0-rmse:0.24762 validation_1-rmse:0.22270
|
||
[13] validation_0-rmse:0.24393 validation_1-rmse:0.21915
|
||
[14] validation_0-rmse:0.24169 validation_1-rmse:0.21579
|
||
[15] validation_0-rmse:0.23898 validation_1-rmse:0.21236
|
||
[16] validation_0-rmse:0.23539 validation_1-rmse:0.20924
|
||
[17] validation_0-rmse:0.23364 validation_1-rmse:0.20621
|
||
[18] validation_0-rmse:0.23062 validation_1-rmse:0.20322
|
||
[19] validation_0-rmse:0.22764 validation_1-rmse:0.20024
|
||
[20] validation_0-rmse:0.22488 validation_1-rmse:0.19731
|
||
[21] validation_0-rmse:0.22211 validation_1-rmse:0.19445
|
||
[22] validation_0-rmse:0.21952 validation_1-rmse:0.19188
|
||
[23] validation_0-rmse:0.21699 validation_1-rmse:0.18935
|
||
[24] validation_0-rmse:0.21549 validation_1-rmse:0.18686
|
||
[25] validation_0-rmse:0.21310 validation_1-rmse:0.18454
|
||
[26] validation_0-rmse:0.21118 validation_1-rmse:0.18198
|
||
[27] validation_0-rmse:0.20904 validation_1-rmse:0.17979
|
||
[28] validation_0-rmse:0.20726 validation_1-rmse:0.17755
|
||
[29] validation_0-rmse:0.20511 validation_1-rmse:0.17547
|
||
[30] validation_0-rmse:0.20336 validation_1-rmse:0.17335
|
||
[31] validation_0-rmse:0.20172 validation_1-rmse:0.17144
|
||
[32] validation_0-rmse:0.19983 validation_1-rmse:0.16961
|
||
[33] validation_0-rmse:0.19794 validation_1-rmse:0.16759
|
||
[34] validation_0-rmse:0.19658 validation_1-rmse:0.16581
|
||
[35] validation_0-rmse:0.19492 validation_1-rmse:0.16409
|
||
[36] validation_0-rmse:0.19347 validation_1-rmse:0.16229
|
||
[37] validation_0-rmse:0.19225 validation_1-rmse:0.16064
|
||
[38] validation_0-rmse:0.19083 validation_1-rmse:0.15877
|
||
[39] validation_0-rmse:0.18921 validation_1-rmse:0.15720
|
||
[40] validation_0-rmse:0.18766 validation_1-rmse:0.15572
|
||
[41] validation_0-rmse:0.18652 validation_1-rmse:0.15414
|
||
[42] validation_0-rmse:0.18519 validation_1-rmse:0.15277
|
||
[43] validation_0-rmse:0.18396 validation_1-rmse:0.15125
|
||
[44] validation_0-rmse:0.18264 validation_1-rmse:0.14968
|
||
[45] validation_0-rmse:0.18134 validation_1-rmse:0.14841
|
||
[46] validation_0-rmse:0.18026 validation_1-rmse:0.14717
|
||
[47] validation_0-rmse:0.17900 validation_1-rmse:0.14594
|
||
[48] validation_0-rmse:0.17815 validation_1-rmse:0.14460
|
||
[49] validation_0-rmse:0.17713 validation_1-rmse:0.14344
|
||
[50] validation_0-rmse:0.17609 validation_1-rmse:0.14232
|
||
[51] validation_0-rmse:0.17502 validation_1-rmse:0.14112
|
||
[52] validation_0-rmse:0.17414 validation_1-rmse:0.13991
|
||
[53] validation_0-rmse:0.17317 validation_1-rmse:0.13889
|
||
[54] validation_0-rmse:0.17267 validation_1-rmse:0.13770
|
||
[55] validation_0-rmse:0.17175 validation_1-rmse:0.13665
|
||
[56] validation_0-rmse:0.17087 validation_1-rmse:0.13573
|
||
[57] validation_0-rmse:0.17001 validation_1-rmse:0.13483
|
||
[58] validation_0-rmse:0.16920 validation_1-rmse:0.13384
|
||
[59] validation_0-rmse:0.16869 validation_1-rmse:0.13280
|
||
[60] validation_0-rmse:0.16790 validation_1-rmse:0.13189
|
||
[61] validation_0-rmse:0.16689 validation_1-rmse:0.13093
|
||
[62] validation_0-rmse:0.16600 validation_1-rmse:0.13007
|
||
[63] validation_0-rmse:0.16548 validation_1-rmse:0.12921
|
||
[64] validation_0-rmse:0.16482 validation_1-rmse:0.12837
|
||
[65] validation_0-rmse:0.16397 validation_1-rmse:0.12747
|
||
[66] validation_0-rmse:0.16316 validation_1-rmse:0.12669
|
||
[67] validation_0-rmse:0.16267 validation_1-rmse:0.12587
|
||
[68] validation_0-rmse:0.16204 validation_1-rmse:0.12501
|
||
[69] validation_0-rmse:0.16159 validation_1-rmse:0.12422
|
||
[70] validation_0-rmse:0.16090 validation_1-rmse:0.12354
|
||
[71] validation_0-rmse:0.16026 validation_1-rmse:0.12282
|
||
[72] validation_0-rmse:0.15986 validation_1-rmse:0.12206
|
||
[73] validation_0-rmse:0.15919 validation_1-rmse:0.12129
|
||
[74] validation_0-rmse:0.15875 validation_1-rmse:0.12061
|
||
[75] validation_0-rmse:0.15829 validation_1-rmse:0.11966
|
||
[76] validation_0-rmse:0.15790 validation_1-rmse:0.11864
|
||
[77] validation_0-rmse:0.15732 validation_1-rmse:0.11802
|
||
[78] validation_0-rmse:0.15696 validation_1-rmse:0.11739
|
||
[79] validation_0-rmse:0.15615 validation_1-rmse:0.11660
|
||
[80] validation_0-rmse:0.15556 validation_1-rmse:0.11593
|
||
[81] validation_0-rmse:0.15516 validation_1-rmse:0.11531
|
||
[82] validation_0-rmse:0.15466 validation_1-rmse:0.11437
|
||
[83] validation_0-rmse:0.15422 validation_1-rmse:0.11383
|
||
[84] validation_0-rmse:0.15382 validation_1-rmse:0.11332
|
||
[85] validation_0-rmse:0.15350 validation_1-rmse:0.11244
|
||
[86] validation_0-rmse:0.15310 validation_1-rmse:0.11180
|
||
[87] validation_0-rmse:0.15277 validation_1-rmse:0.11119
|
||
[88] validation_0-rmse:0.15228 validation_1-rmse:0.11060
|
||
[89] validation_0-rmse:0.15192 validation_1-rmse:0.11011
|
||
[90] validation_0-rmse:0.15144 validation_1-rmse:0.10956
|
||
[91] validation_0-rmse:0.15092 validation_1-rmse:0.10913
|
||
[92] validation_0-rmse:0.15058 validation_1-rmse:0.10847
|
||
[93] validation_0-rmse:0.15017 validation_1-rmse:0.10803
|
||
[94] validation_0-rmse:0.14984 validation_1-rmse:0.10702
|
||
[95] validation_0-rmse:0.14967 validation_1-rmse:0.10629
|
||
[96] validation_0-rmse:0.14914 validation_1-rmse:0.10587
|
||
[97] validation_0-rmse:0.14882 validation_1-rmse:0.10545
|
||
[98] validation_0-rmse:0.14853 validation_1-rmse:0.10454
|
||
[99] validation_0-rmse:0.14837 validation_1-rmse:0.10398
|
||
2025-04-29 01:57:30,474[90m - [0m[95mfreqtrade.freqai.base_models.BaseRegressionModel[0m[90m - [0m[34mINFO[0m[90m - [0m-------------------- Done training SOL/USDT (6.12 secs) --------------------
|
||
2025-04-29 01:57:30,475[90m - [0m[95mfreqtrade.freqai.freqai_interface[0m[90m - [0m[34mINFO[0m[90m - [0mSaving metadata to disk.
|
||
2025-04-29 01:57:31,077[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0m动态参数：buy_rsi=50.0, sell_rsi=70.0, stoploss=-0.15, trailing_stop_positive=0.05
|
||
2025-04-29 01:57:31,096[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0mup_or_down 值统计：
|
||
up_or_down
|
||
0 33825
|
||
1 32946
|
||
2025-04-29 01:57:31,097[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0mdo_predict 值统计：
|
||
do_predict
|
||
0.0 36730
|
||
1.0 30041
|
||
2025-04-29 01:57:31,105[90m - [0m[95mfreqtrade.optimize.backtesting[0m[90m - [0m[34mINFO[0m[90m - [0mBacktesting with data from 2025-01-01 00:00:00 up to 2025-04-20 00:00:00 (109 days).
|
||
2025-04-29 01:57:31,109[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[1;31mERROR[0m[90m - [0mMACD 或 MACD 信号列缺失，无法生成买入信号。尝试重新计算 MACD 列。
|
||
2025-04-29 01:57:31,111[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0mMACD 列已成功重新计算。
|
||
2025-04-29 01:57:31,193[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[1;31mERROR[0m[90m - [0mMACD 或 MACD 信号列缺失，无法生成买入信号。尝试重新计算 MACD 列。
|
||
2025-04-29 01:57:31,195[90m - [0m[95mFreqaiExampleStrategy[0m[90m - [0m[34mINFO[0m[90m - [0mMACD 列已成功重新计算。
|
||
2025-04-29 01:57:33,776[90m - [0m[95mfreqtrade.misc[0m[90m - [0m[34mINFO[0m[90m - [0mdumping json to "/freqtrade/user_data/backtest_results/backtest-result-2025-04-29_01-57-33.meta.json"
|
||
Result for strategy FreqaiExampleStrategy
|
||
[3m BACKTESTING REPORT [0m
|
||
┏━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┓
|
||
┃[1m [0m[1m Pair[0m[1m [0m┃[1m [0m[1mTrades[0m[1m [0m┃[1m [0m[1mAvg Profit %[0m[1m [0m┃[1m [0m[1mTot Profit USDT[0m[1m [0m┃[1m [0m[1mTot Profit %[0m[1m [0m┃[1m [0m[1mAvg Duration[0m[1m [0m┃[1m [0m[1m Win Draw Loss Win%[0m[1m [0m┃
|
||
┡━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━┩
|
||
│ BTC/USDT │ 38 │ -0.39 │ -22.029 │ -2.2 │ 22:13:00 │ 5 32 1 13.2 │
|
||
│ SOL/USDT │ 44 │ -1.94 │ -128.236 │ -12.82 │ 16:35:00 │ 12 26 6 27.3 │
|
||
│ TOTAL │ 82 │ -1.22 │ -150.265 │ -15.03 │ 19:12:00 │ 17 58 7 20.7 │
|
||
└──────────┴────────┴──────────────┴─────────────────┴──────────────┴──────────────┴────────────────────────┘
|
||
[3m LEFT OPEN TRADES REPORT [0m
|
||
┏━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┓
|
||
┃[1m [0m[1m Pair[0m[1m [0m┃[1m [0m[1mTrades[0m[1m [0m┃[1m [0m[1mAvg Profit %[0m[1m [0m┃[1m [0m[1mTot Profit USDT[0m[1m [0m┃[1m [0m[1mTot Profit %[0m[1m [0m┃[1m [0m[1mAvg Duration[0m[1m [0m┃[1m [0m[1m Win Draw Loss Win%[0m[1m [0m┃
|
||
┡━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━┩
|
||
│ TOTAL │ 0 │ 0.0 │ 0.000 │ 0.0 │ 0:00 │ 0 0 0 0 │
|
||
└───────┴────────┴──────────────┴─────────────────┴──────────────┴──────────────┴────────────────────────┘
|
||
[3m ENTER TAG STATS [0m
|
||
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┓
|
||
┃[1m [0m[1mEnter Tag[0m[1m [0m┃[1m [0m[1mEntries[0m[1m [0m┃[1m [0m[1mAvg Profit %[0m[1m [0m┃[1m [0m[1mTot Profit USDT[0m[1m [0m┃[1m [0m[1mTot Profit %[0m[1m [0m┃[1m [0m[1mAvg Duration[0m[1m [0m┃[1m [0m[1m Win Draw Loss Win%[0m[1m [0m┃
|
||
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━┩
|
||
│ long │ 82 │ -1.22 │ -150.265 │ -15.03 │ 19:12:00 │ 17 58 7 20.7 │
|
||
│ TOTAL │ 82 │ -1.22 │ -150.265 │ -15.03 │ 19:12:00 │ 17 58 7 20.7 │
|
||
└───────────┴─────────┴──────────────┴─────────────────┴──────────────┴──────────────┴────────────────────────┘
|
||
[3m EXIT REASON STATS [0m
|
||
┏━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┓
|
||
┃[1m [0m[1m Exit Reason[0m[1m [0m┃[1m [0m[1mExits[0m[1m [0m┃[1m [0m[1mAvg Profit %[0m[1m [0m┃[1m [0m[1mTot Profit USDT[0m[1m [0m┃[1m [0m[1mTot Profit %[0m[1m [0m┃[1m [0m[1m Avg Duration[0m[1m [0m┃[1m [0m[1m Win Draw Loss Win%[0m[1m [0m┃
|
||
┡━━━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━┩
|
||
│ roi │ 75 │ 0.07 │ 7.926 │ 0.79 │ 14:48:00 │ 17 58 0 100 │
|
||
│ trailing_stop_loss │ 7 │ -15.04 │ -158.191 │ -15.82 │ 2 days, 18:13:00 │ 0 0 7 0 │
|
||
│ TOTAL │ 82 │ -1.22 │ -150.265 │ -15.03 │ 19:12:00 │ 17 58 7 20.7 │
|
||
└────────────────────┴───────┴──────────────┴─────────────────┴──────────────┴──────────────────┴────────────────────────┘
|
||
[3m MIXED TAG STATS [0m
|
||
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┓
|
||
┃[1m [0m[1m Enter Tag[0m[1m [0m┃[1m [0m[1mExit Reason[0m[1m [0m┃[1m [0m[1mTrades[0m[1m [0m┃[1m [0m[1mAvg Profit %[0m[1m [0m┃[1m [0m[1mTot Profit USDT[0m[1m [0m┃[1m [0m[1mTot Profit %[0m[1m [0m┃[1m [0m[1m Avg Duration[0m[1m [0m┃[1m [0m[1m Win Draw Loss Win%[0m[1m [0m┃
|
||
┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━┩
|
||
│ ('long', 'roi') │ │ 75 │ 0.07 │ 7.926 │ 0.79 │ 14:48:00 │ 17 58 0 100 │
|
||
│ ('long', 'trailing_stop_loss') │ │ 7 │ -15.04 │ -158.191 │ -15.82 │ 2 days, 18:13:00 │ 0 0 7 0 │
|
||
│ TOTAL │ │ 82 │ -1.22 │ -150.265 │ -15.03 │ 19:12:00 │ 17 58 7 20.7 │
|
||
└────────────────────────────────┴─────────────┴────────┴──────────────┴─────────────────┴──────────────┴──────────────────┴────────────────────────┘
|
||
[3m SUMMARY METRICS [0m
|
||
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┓
|
||
┃[1m [0m[1mMetric [0m[1m [0m┃[1m [0m[1mValue [0m[1m [0m┃
|
||
┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━┩
|
||
│ Backtesting from │ 2025-01-01 00:00:00 │
|
||
│ Backtesting to │ 2025-04-20 00:00:00 │
|
||
│ Trading Mode │ Spot │
|
||
│ Max open trades │ 2 │
|
||
│ │ │
|
||
│ Total/Daily Avg Trades │ 82 / 0.75 │
|
||
│ Starting balance │ 1000 USDT │
|
||
│ Final balance │ 849.735 USDT │
|
||
│ Absolute profit │ -150.265 USDT │
|
||
│ Total profit % │ -15.03% │
|
||
│ CAGR % │ -42.03% │
|
||
│ Sortino │ -252.56 │
|
||
│ Sharpe │ -4.15 │
|
||
│ Calmar │ -17.48 │
|
||
│ SQN │ -2.60 │
|
||
│ Profit factor │ 0.05 │
|
||
│ Expectancy (Ratio) │ -1.83 (-0.79) │
|
||
│ Avg. daily profit % │ -0.14% │
|
||
│ Avg. stake amount │ 150 USDT │
|
||
│ Total trade volume │ 24523.15 USDT │
|
||
│ │ │
|
||
│ Best Pair │ BTC/USDT -2.20% │
|
||
│ Worst Pair │ SOL/USDT -12.82% │
|
||
│ Best trade │ SOL/USDT 0.90% │
|
||
│ Worst trade │ SOL/USDT -15.19% │
|
||
│ Best day │ 1.76 USDT │
|
||
│ Worst day │ -22.827 USDT │
|
||
│ Days win/draw/lose │ 14 / 80 / 7 │
|
||
│ Avg. Duration Winners │ 0:55:00 │
|
||
│ Avg. Duration Loser │ 2 days, 18:13:00 │
|
||
│ Max Consecutive Wins / Loss │ 2 / 16 │
|
||
│ Rejected Entry signals │ 0 │
|
||
│ Entry/Exit Timeouts │ 0 / 0 │
|
||
│ │ │
|
||
│ Min balance │ 849.735 USDT │
|
||
│ Max balance │ 1000.508 USDT │
|
||
│ Max % of account underwater │ 15.07% │
|
||
│ Absolute Drawdown (Account) │ 15.07% │
|
||
│ Absolute Drawdown │ 150.773 USDT │
|
||
│ Drawdown high │ 0.508 USDT │
|
||
│ Drawdown low │ -150.265 USDT │
|
||
│ Drawdown Start │ 2025-01-06 19:48:00 │
|
||
│ Drawdown End │ 2025-04-06 23:15:00 │
|
||
│ Market change │ -26.79% │
|
||
└─────────────────────────────┴─────────────────────┘
|
||
|
||
Backtested 2025-01-01 00:00:00 -> 2025-04-20 00:00:00 | Max open trades : 2
|
||
[3m STRATEGY SUMMARY [0m
|
||
┏━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┓
|
||
┃[1m [0m[1m Strategy[0m[1m [0m┃[1m [0m[1mTrades[0m[1m [0m┃[1m [0m[1mAvg Profit %[0m[1m [0m┃[1m [0m[1mTot Profit USDT[0m[1m [0m┃[1m [0m[1mTot Profit %[0m[1m [0m┃[1m [0m[1mAvg Duration[0m[1m [0m┃[1m [0m[1m Win Draw Loss Win%[0m[1m [0m┃[1m [0m[1m Drawdown[0m[1m [0m┃
|
||
┡━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━┩
|
||
│ FreqaiExampleStrategy │ 82 │ -1.22 │ -150.265 │ -15.03 │ 19:12:00 │ 17 58 7 20.7 │ 150.773 USDT 15.07% │
|
||
└───────────────────────┴────────┴──────────────┴─────────────────┴──────────────┴──────────────┴────────────────────────┴──────────────────────┘
|