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myTestFreqAI/result/output_filted.log
zhangkun9038@dingtalk.com a203481210 log
2025-05-02 13:15:14 +08:00

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Creating freqtrade_freqtrade_run ...
Creating freqtrade_freqtrade_run ... done
2025-05-02 05:00:01,171 - freqtrade - INFO - freqtrade 2025.3
2025-05-02 05:00:01,410 - numexpr.utils - INFO - NumExpr defaulting to 12 threads.
2025-05-02 05:00:02,835 - freqtrade.configuration.load_config - INFO - Using config: /freqtrade/config_examples/config_freqai.okx.json ...
2025-05-02 05:00:02,837 - freqtrade.loggers - INFO - Enabling colorized output.
2025-05-02 05:00:02,837 - root - INFO - Logfile configured
2025-05-02 05:00:02,838 - freqtrade.loggers - INFO - Verbosity set to 0
2025-05-02 05:00:02,838 - freqtrade.configuration.configuration - INFO - Using additional Strategy lookup path: /freqtrade/templates
2025-05-02 05:00:02,838 - freqtrade.configuration.configuration - INFO - Using max_open_trades: 4 ...
2025-05-02 05:00:02,839 - freqtrade.configuration.configuration - INFO - Parameter --timerange detected: 20250301-20250420 ...
2025-05-02 05:00:02,855 - freqtrade.configuration.configuration - INFO - Using user-data directory: /freqtrade/user_data ...
2025-05-02 05:00:02,855 - freqtrade.configuration.configuration - INFO - Using data directory: /freqtrade/user_data/data/okx ...
2025-05-02 05:00:02,856 - freqtrade.configuration.configuration - INFO - Parameter --cache=none detected ...
2025-05-02 05:00:02,856 - freqtrade.configuration.configuration - INFO - Filter trades by timerange: 20250301-20250420
2025-05-02 05:00:02,857 - freqtrade.configuration.configuration - INFO - Using freqaimodel class name: XGBoostRegressor
2025-05-02 05:00:02,857 - freqtrade.exchange.check_exchange - INFO - Checking exchange...
2025-05-02 05:00:02,863 - freqtrade.exchange.check_exchange - INFO - Exchange "okx" is officially supported by the Freqtrade development team.
2025-05-02 05:00:02,864 - freqtrade.configuration.configuration - INFO - Using pairlist from configuration.
2025-05-02 05:00:02,864 - freqtrade.configuration.config_validation - INFO - Validating configuration ...
2025-05-02 05:00:02,866 - freqtrade.commands.optimize_commands - INFO - Starting freqtrade in Backtesting mode
2025-05-02 05:00:02,867 - freqtrade.exchange.exchange - INFO - Instance is running with dry_run enabled
2025-05-02 05:00:02,867 - freqtrade.exchange.exchange - INFO - Using CCXT 4.4.69
2025-05-02 05:00:02,867 - freqtrade.exchange.exchange - INFO - Applying additional ccxt config: {'enableRateLimit': True, 'rateLimit': 500, 'options': {'defaultType': 'spot'}}
2025-05-02 05:00:02,872 - freqtrade.exchange.exchange - INFO - Applying additional ccxt config: {'enableRateLimit': True, 'rateLimit': 500, 'options': {'defaultType': 'spot'}, 'timeout': 20000}
2025-05-02 05:00:02,878 - freqtrade.exchange.exchange - INFO - Using Exchange "OKX"
2025-05-02 05:00:03,280 - freqtrade.exchange.common - WARNING - _load_async_markets() returned exception: "Error in reload_markets due to ExchangeNotAvailable. Message: okx GET
https://www.okx.com/api/v5/public/instruments?instType=SPOT". Retrying still for 3 times.
2025-05-02 05:00:05,382 - freqtrade.exchange.common - WARNING - _load_async_markets() returned exception: "Error in reload_markets due to ExchangeNotAvailable. Message: okx GET
https://www.okx.com/api/v5/public/instruments?instType=SPOT". Retrying still for 2 times.
2025-05-02 05:00:10,528 - freqtrade.resolvers.exchange_resolver - INFO - Using resolved exchange 'Okx'...
2025-05-02 05:00:10,587 - freqtrade.resolvers.iresolver - INFO - Using resolved strategy OKXRegressionStrategy from '/freqtrade/templates/OKXRegressionStrategy.py'...
2025-05-02 05:00:10,587 - freqtrade.strategy.hyper - INFO - Found no parameter file.
2025-05-02 05:00:10,588 - freqtrade.resolvers.strategy_resolver - INFO - Override strategy 'timeframe' with value in config file: 3m.
2025-05-02 05:00:10,588 - freqtrade.resolvers.strategy_resolver - INFO - Override strategy 'stoploss' with value in config file: -0.05.
2025-05-02 05:00:10,589 - freqtrade.resolvers.strategy_resolver - INFO - Override strategy 'stake_currency' with value in config file: USDT.
2025-05-02 05:00:10,589 - freqtrade.resolvers.strategy_resolver - INFO - Override strategy 'stake_amount' with value in config file: 150.
2025-05-02 05:00:10,589 - freqtrade.resolvers.strategy_resolver - INFO - Override strategy 'startup_candle_count' with value in config file: 30.
2025-05-02 05:00:10,589 - freqtrade.resolvers.strategy_resolver - INFO - Override strategy 'unfilledtimeout' with value in config file: {'entry': 5, 'exit': 15, 'exit_timeout_count': 0, 'unit':
'minutes'}.
2025-05-02 05:00:10,590 - freqtrade.resolvers.strategy_resolver - INFO - Override strategy 'max_open_trades' with value in config file: 4.
2025-05-02 05:00:10,590 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using minimal_roi: {}
2025-05-02 05:00:10,590 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using timeframe: 3m
2025-05-02 05:00:10,591 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using stoploss: -0.05
2025-05-02 05:00:10,591 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using trailing_stop: True
2025-05-02 05:00:10,591 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using trailing_stop_positive: 0.01
2025-05-02 05:00:10,592 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using trailing_stop_positive_offset: 0.0
2025-05-02 05:00:10,592 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using trailing_only_offset_is_reached: False
2025-05-02 05:00:10,592 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using use_custom_stoploss: False
2025-05-02 05:00:10,593 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using process_only_new_candles: True
2025-05-02 05:00:10,593 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using order_types: {'entry': 'limit', 'exit': 'limit', 'stoploss': 'limit', 'stoploss_on_exchange': False,
'stoploss_on_exchange_interval': 60}
2025-05-02 05:00:10,593 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using order_time_in_force: {'entry': 'GTC', 'exit': 'GTC'}
2025-05-02 05:00:10,594 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using stake_currency: USDT
2025-05-02 05:00:10,594 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using stake_amount: 150
2025-05-02 05:00:10,594 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using startup_candle_count: 30
2025-05-02 05:00:10,595 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using unfilledtimeout: {'entry': 5, 'exit': 15, 'exit_timeout_count': 0, 'unit': 'minutes'}
2025-05-02 05:00:10,595 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using use_exit_signal: True
2025-05-02 05:00:10,595 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using exit_profit_only: False
2025-05-02 05:00:10,596 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using ignore_roi_if_entry_signal: False
2025-05-02 05:00:10,596 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using exit_profit_offset: 0.0
2025-05-02 05:00:10,596 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using disable_dataframe_checks: False
2025-05-02 05:00:10,596 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using ignore_buying_expired_candle_after: 0
2025-05-02 05:00:10,597 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using position_adjustment_enable: False
2025-05-02 05:00:10,597 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using max_entry_position_adjustment: -1
2025-05-02 05:00:10,597 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using max_open_trades: 4
2025-05-02 05:00:10,598 - freqtrade.configuration.config_validation - INFO - Validating configuration ...
2025-05-02 05:00:10,601 - freqtrade.resolvers.iresolver - INFO - Using resolved pairlist StaticPairList from '/freqtrade/freqtrade/plugins/pairlist/StaticPairList.py'...
2025-05-02 05:00:10,608 - freqtrade.optimize.backtesting - INFO - Using fee 0.1500% - worst case fee from exchange (lowest tier).
2025-05-02 05:00:10,609 - freqtrade.data.dataprovider - INFO - Increasing startup_candle_count for freqai on 3m to 14450
2025-05-02 05:00:10,609 - freqtrade.data.history.history_utils - INFO - Using indicator startup period: 14450 ...
2025-05-02 05:00:10,626 - freqtrade.data.history.datahandlers.idatahandler - WARNING - BTC/USDT, spot, 3m, data starts at 2025-02-01 00:00:00
2025-05-02 05:00:10,657 - freqtrade.data.history.datahandlers.idatahandler - WARNING - SOL/USDT, spot, 3m, data starts at 2025-02-01 00:00:00
2025-05-02 05:00:10,677 - freqtrade.optimize.backtesting - INFO - Loading data from 2025-02-01 00:00:00 up to 2025-04-20 00:00:00 (78 days).
2025-05-02 05:00:10,678 - freqtrade.optimize.backtesting - INFO - Dataload complete. Calculating indicators
2025-05-02 05:00:10,679 - freqtrade.optimize.backtesting - INFO - Running backtesting for Strategy OKXRegressionStrategy
2025-05-02 05:00:12,246 - matplotlib.font_manager - INFO - generated new fontManager
2025-05-02 05:00:12,460 - freqtrade.resolvers.iresolver - INFO - Using resolved freqaimodel XGBoostRegressor from '/freqtrade/freqtrade/freqai/prediction_models/XGBoostRegressor.py'...
2025-05-02 05:00:12,461 - freqtrade.freqai.data_drawer - INFO - Could not find existing datadrawer, starting from scratch
2025-05-02 05:00:12,461 - freqtrade.freqai.data_drawer - INFO - Could not find existing historic_predictions, starting from scratch
2025-05-02 05:00:12,461 - freqtrade.freqai.freqai_interface - INFO - Set fresh train queue from whitelist. Queue: ['BTC/USDT', 'SOL/USDT']
2025-05-02 05:00:12,462 - freqtrade.strategy.hyper - INFO - No params for buy found, using default values.
2025-05-02 05:00:12,463 - freqtrade.strategy.hyper - INFO - Strategy Parameter(default): atr_period = 14
2025-05-02 05:00:12,463 - freqtrade.strategy.hyper - INFO - No params for sell found, using default values.
2025-05-02 05:00:12,464 - freqtrade.strategy.hyper - INFO - Strategy Parameter(default): atr_multiplier = 2.0
2025-05-02 05:00:12,464 - freqtrade.strategy.hyper - INFO - No params for protection found, using default values.
2025-05-02 05:00:12,470 - freqtrade.freqai.freqai_interface - INFO - Training 5 timeranges
2025-05-02 05:00:12,471 - freqtrade.freqai.freqai_interface - INFO - Training BTC/USDT, 1/2 pairs from 2025-01-30 00:00:00 to 2025-03-01 00:00:00, 1/5 trains
2025-05-02 05:00:12,472 - freqtrade.freqai.data_kitchen - INFO - Could not find backtesting prediction file at
/freqtrade/user_data/models/test175/backtesting_predictions/cb_btc_1740787200_prediction.feather
2025-05-02 05:00:23,926 - freqtrade.data.dataprovider - INFO - Increasing startup_candle_count for freqai on 5m to 8690
2025-05-02 05:00:23,927 - freqtrade.data.dataprovider - INFO - Loading data for BTC/USDT 5m from 2025-01-29 19:50:00 to 2025-04-20 00:00:00
2025-05-02 05:00:23,936 - freqtrade.data.history.datahandlers.idatahandler - WARNING - BTC/USDT, spot, 5m, data starts at 2025-02-01 00:00:00
2025-05-02 05:00:24,032 - freqtrade.data.dataprovider - INFO - Increasing startup_candle_count for freqai on 1h to 770
2025-05-02 05:00:24,032 - freqtrade.data.dataprovider - INFO - Loading data for BTC/USDT 1h from 2025-01-27 22:00:00 to 2025-04-20 00:00:00
2025-05-02 05:00:24,037 - freqtrade.data.history.datahandlers.idatahandler - WARNING - BTC/USDT, spot, 1h, data starts at 2025-02-01 00:00:00
2025-05-02 05:00:24,404 - freqtrade.data.dataprovider - INFO - Increasing startup_candle_count for freqai on 3m to 14450
2025-05-02 05:00:24,405 - freqtrade.data.dataprovider - INFO - Loading data for ETH/USDT 3m from 2025-01-29 21:30:00 to 2025-04-20 00:00:00
2025-05-02 05:00:24,414 - freqtrade.data.history.datahandlers.idatahandler - WARNING - ETH/USDT, spot, 3m, data starts at 2025-02-01 00:00:00
2025-05-02 05:00:34,152 - freqtrade.data.dataprovider - INFO - Increasing startup_candle_count for freqai on 5m to 8690
2025-05-02 05:00:34,152 - freqtrade.data.dataprovider - INFO - Loading data for ETH/USDT 5m from 2025-01-29 19:50:00 to 2025-04-20 00:00:00
2025-05-02 05:00:34,161 - freqtrade.data.history.datahandlers.idatahandler - WARNING - ETH/USDT, spot, 5m, data starts at 2025-02-01 00:00:00
2025-05-02 05:00:34,322 - freqtrade.data.dataprovider - INFO - Increasing startup_candle_count for freqai on 1h to 770
2025-05-02 05:00:34,323 - freqtrade.data.dataprovider - INFO - Loading data for ETH/USDT 1h from 2025-01-27 22:00:00 to 2025-04-20 00:00:00
2025-05-02 05:00:34,328 - freqtrade.data.history.datahandlers.idatahandler - WARNING - ETH/USDT, spot, 1h, data starts at 2025-02-01 00:00:00
/freqtrade/templates/OKXRegressionStrategy.py:159: FutureWarning: DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.
dataframe = dataframe.fillna(method="ffill").fillna(0)
/freqtrade/templates/OKXRegressionStrategy.py:159: FutureWarning: DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.
dataframe = dataframe.fillna(method="ffill").fillna(0)
2025-05-02 05:00:34,846 - freqtrade.freqai.freqai_interface - INFO - Could not find model at /freqtrade/user_data/models/test175/sub-train-BTC_1740787200/cb_btc_1740787200
2025-05-02 05:00:34,847 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Starting training BTC/USDT --------------------
2025-05-02 05:00:34,945 - freqtrade.freqai.data_kitchen - INFO - BTC/USDT: dropped 0 training points due to NaNs in populated dataset 13440.
2025-05-02 05:00:34,945 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Training on data from 2025-02-01 to 2025-02-28 --------------------
2025-05-02 05:00:35,005 - datasieve.pipeline - INFO - VarianceThreshold will remove 13 features from the dataset.on transform. ['%-%-order_book_imbalance-10_10_BTC/USDT_3m'
'%-%-order_book_imbalance-20_20_BTC/USDT_3m'
'%-%-order_book_imbalance-50_50_BTC/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-1_BTC/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-1_BTC/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-1_BTC/USDT_3m' '%-hour_of_day'
'%-%-order_book_imbalance-10_10_ETH/USDT_3m'
'%-%-order_book_imbalance-20_20_ETH/USDT_3m'
'%-%-order_book_imbalance-50_50_ETH/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-1_ETH/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-1_ETH/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-1_ETH/USDT_3m']
2025-05-02 05:00:35,044 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - Training model on 421 features
2025-05-02 05:00:35,045 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - Training model on 10752 data points
/home/ftuser/.local/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [05:00:35] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
warnings.warn(smsg, UserWarning)
[99] validation_0-rmse:0.06515 validation_1-rmse:0.05858
2025-05-02 05:01:26,046 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Done training BTC/USDT (51.20 secs) --------------------
/home/ftuser/.local/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning:
[05:01:26] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
2025-05-02 05:01:26,258 - freqtrade.plot.plotting - INFO - Stored plot as /freqtrade/user_data/models/test175/sub-train-BTC_1740787200/cb_btc_1740787200--s_close.html
2025-05-02 05:01:26,259 - freqtrade.freqai.freqai_interface - INFO - Saving metadata to disk.
2025-05-02 05:01:26,360 - datasieve.pipeline - WARNING - Could not find step di in pipeline, returning None
2025-05-02 05:01:26,374 - freqtrade.freqai.freqai_interface - INFO - Training BTC/USDT, 1/2 pairs from 2025-02-09 00:00:00 to 2025-03-11 00:00:00, 2/5 trains
2025-05-02 05:01:26,375 - freqtrade.freqai.data_kitchen - INFO - Could not find backtesting prediction file at
/freqtrade/user_data/models/test175/backtesting_predictions/cb_btc_1741651200_prediction.feather
/freqtrade/templates/OKXRegressionStrategy.py:159: FutureWarning:
DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.
/freqtrade/templates/OKXRegressionStrategy.py:159: FutureWarning:
DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.
2025-05-02 05:01:26,868 - freqtrade.freqai.freqai_interface - INFO - Could not find model at /freqtrade/user_data/models/test175/sub-train-BTC_1741651200/cb_btc_1741651200
2025-05-02 05:01:26,869 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Starting training BTC/USDT --------------------
2025-05-02 05:01:26,981 - freqtrade.freqai.data_kitchen - INFO - BTC/USDT: dropped 0 training points due to NaNs in populated dataset 14400.
2025-05-02 05:01:26,982 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Training on data from 2025-02-09 to 2025-03-10 --------------------
2025-05-02 05:01:27,047 - datasieve.pipeline - INFO - VarianceThreshold will remove 73 features from the dataset.on transform. ['%-%-order_book_imbalance-10_10_BTC/USDT_3m'
'%-%-order_book_imbalance-20_20_BTC/USDT_3m'
'%-%-order_book_imbalance-50_50_BTC/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-1_BTC/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-1_BTC/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-1_BTC/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-2_BTC/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-2_BTC/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-2_BTC/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-3_BTC/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-3_BTC/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-3_BTC/USDT_3m'
'%-%-order_book_imbalance-10_10_BTC/USDT_5m'
'%-%-order_book_imbalance-20_20_BTC/USDT_5m'
'%-%-order_book_imbalance-50_50_BTC/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-1_BTC/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-1_BTC/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-1_BTC/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-2_BTC/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-2_BTC/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-2_BTC/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-3_BTC/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-3_BTC/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-3_BTC/USDT_5m'
'%-%-order_book_imbalance-10_10_BTC/USDT_1h'
'%-%-order_book_imbalance-20_20_BTC/USDT_1h'
'%-%-order_book_imbalance-50_50_BTC/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-1_BTC/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-1_BTC/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-1_BTC/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-2_BTC/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-2_BTC/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-2_BTC/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-3_BTC/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-3_BTC/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-3_BTC/USDT_1h' '%-hour_of_day'
'%-%-order_book_imbalance-10_10_ETH/USDT_3m'
'%-%-order_book_imbalance-20_20_ETH/USDT_3m'
'%-%-order_book_imbalance-50_50_ETH/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-1_ETH/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-1_ETH/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-1_ETH/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-2_ETH/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-2_ETH/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-2_ETH/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-3_ETH/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-3_ETH/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-3_ETH/USDT_3m'
'%-%-order_book_imbalance-10_10_ETH/USDT_5m'
'%-%-order_book_imbalance-20_20_ETH/USDT_5m'
'%-%-order_book_imbalance-50_50_ETH/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-1_ETH/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-1_ETH/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-1_ETH/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-2_ETH/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-2_ETH/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-2_ETH/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-3_ETH/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-3_ETH/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-3_ETH/USDT_5m'
'%-%-order_book_imbalance-10_10_ETH/USDT_1h'
'%-%-order_book_imbalance-20_20_ETH/USDT_1h'
'%-%-order_book_imbalance-50_50_ETH/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-1_ETH/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-1_ETH/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-1_ETH/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-2_ETH/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-2_ETH/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-2_ETH/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-3_ETH/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-3_ETH/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-3_ETH/USDT_1h']
2025-05-02 05:01:27,084 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - Training model on 361 features
2025-05-02 05:01:27,085 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - Training model on 11520 data points
/home/ftuser/.local/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning:
[05:01:27] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
[99] validation_0-rmse:0.05485 validation_1-rmse:0.05074
2025-05-02 05:02:20,677 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Done training BTC/USDT (53.81 secs) --------------------
/home/ftuser/.local/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning:
[05:02:20] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
2025-05-02 05:02:20,712 - freqtrade.plot.plotting - INFO - Stored plot as /freqtrade/user_data/models/test175/sub-train-BTC_1741651200/cb_btc_1741651200--s_close.html
2025-05-02 05:02:20,713 - freqtrade.freqai.freqai_interface - INFO - Saving metadata to disk.
2025-05-02 05:02:20,812 - datasieve.pipeline - WARNING - Could not find step di in pipeline, returning None
2025-05-02 05:02:20,829 - freqtrade.freqai.freqai_interface - INFO - Training BTC/USDT, 1/2 pairs from 2025-02-19 00:00:00 to 2025-03-21 00:00:00, 3/5 trains
2025-05-02 05:02:20,830 - freqtrade.freqai.data_kitchen - INFO - Could not find backtesting prediction file at
/freqtrade/user_data/models/test175/backtesting_predictions/cb_btc_1742515200_prediction.feather
/freqtrade/templates/OKXRegressionStrategy.py:159: FutureWarning:
DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.
/freqtrade/templates/OKXRegressionStrategy.py:159: FutureWarning:
DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.
2025-05-02 05:02:21,408 - freqtrade.freqai.freqai_interface - INFO - Could not find model at /freqtrade/user_data/models/test175/sub-train-BTC_1742515200/cb_btc_1742515200
2025-05-02 05:02:21,409 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Starting training BTC/USDT --------------------
2025-05-02 05:02:21,521 - freqtrade.freqai.data_kitchen - INFO - BTC/USDT: dropped 0 training points due to NaNs in populated dataset 14400.
2025-05-02 05:02:21,522 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Training on data from 2025-02-19 to 2025-03-20 --------------------
2025-05-02 05:02:21,584 - datasieve.pipeline - INFO - VarianceThreshold will remove 73 features from the dataset.on transform. ['%-%-order_book_imbalance-10_10_BTC/USDT_3m'
'%-%-order_book_imbalance-20_20_BTC/USDT_3m'
'%-%-order_book_imbalance-50_50_BTC/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-1_BTC/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-1_BTC/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-1_BTC/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-2_BTC/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-2_BTC/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-2_BTC/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-3_BTC/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-3_BTC/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-3_BTC/USDT_3m'
'%-%-order_book_imbalance-10_10_BTC/USDT_5m'
'%-%-order_book_imbalance-20_20_BTC/USDT_5m'
'%-%-order_book_imbalance-50_50_BTC/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-1_BTC/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-1_BTC/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-1_BTC/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-2_BTC/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-2_BTC/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-2_BTC/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-3_BTC/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-3_BTC/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-3_BTC/USDT_5m'
'%-%-order_book_imbalance-10_10_BTC/USDT_1h'
'%-%-order_book_imbalance-20_20_BTC/USDT_1h'
'%-%-order_book_imbalance-50_50_BTC/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-1_BTC/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-1_BTC/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-1_BTC/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-2_BTC/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-2_BTC/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-2_BTC/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-3_BTC/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-3_BTC/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-3_BTC/USDT_1h' '%-hour_of_day'
'%-%-order_book_imbalance-10_10_ETH/USDT_3m'
'%-%-order_book_imbalance-20_20_ETH/USDT_3m'
'%-%-order_book_imbalance-50_50_ETH/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-1_ETH/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-1_ETH/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-1_ETH/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-2_ETH/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-2_ETH/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-2_ETH/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-3_ETH/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-3_ETH/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-3_ETH/USDT_3m'
'%-%-order_book_imbalance-10_10_ETH/USDT_5m'
'%-%-order_book_imbalance-20_20_ETH/USDT_5m'
'%-%-order_book_imbalance-50_50_ETH/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-1_ETH/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-1_ETH/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-1_ETH/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-2_ETH/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-2_ETH/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-2_ETH/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-3_ETH/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-3_ETH/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-3_ETH/USDT_5m'
'%-%-order_book_imbalance-10_10_ETH/USDT_1h'
'%-%-order_book_imbalance-20_20_ETH/USDT_1h'
'%-%-order_book_imbalance-50_50_ETH/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-1_ETH/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-1_ETH/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-1_ETH/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-2_ETH/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-2_ETH/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-2_ETH/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-3_ETH/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-3_ETH/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-3_ETH/USDT_1h']
2025-05-02 05:02:21,617 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - Training model on 361 features
2025-05-02 05:02:21,617 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - Training model on 11520 data points
/home/ftuser/.local/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning:
[05:02:22] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
[99] validation_0-rmse:0.05597 validation_1-rmse:0.05024
2025-05-02 05:03:18,466 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Done training BTC/USDT (57.06 secs) --------------------
/home/ftuser/.local/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning:
[05:03:18] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
2025-05-02 05:03:18,500 - freqtrade.plot.plotting - INFO - Stored plot as /freqtrade/user_data/models/test175/sub-train-BTC_1742515200/cb_btc_1742515200--s_close.html
2025-05-02 05:03:18,500 - freqtrade.freqai.freqai_interface - INFO - Saving metadata to disk.
2025-05-02 05:03:18,600 - datasieve.pipeline - WARNING - Could not find step di in pipeline, returning None
2025-05-02 05:03:18,616 - freqtrade.freqai.freqai_interface - INFO - Training BTC/USDT, 1/2 pairs from 2025-03-01 00:00:00 to 2025-03-31 00:00:00, 4/5 trains
2025-05-02 05:03:18,617 - freqtrade.freqai.data_kitchen - INFO - Could not find backtesting prediction file at
/freqtrade/user_data/models/test175/backtesting_predictions/cb_btc_1743379200_prediction.feather
/freqtrade/templates/OKXRegressionStrategy.py:159: FutureWarning:
DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.
/freqtrade/templates/OKXRegressionStrategy.py:159: FutureWarning:
DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.
2025-05-02 05:03:19,258 - freqtrade.freqai.freqai_interface - INFO - Could not find model at /freqtrade/user_data/models/test175/sub-train-BTC_1743379200/cb_btc_1743379200
2025-05-02 05:03:19,259 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Starting training BTC/USDT --------------------
2025-05-02 05:03:19,374 - freqtrade.freqai.data_kitchen - INFO - BTC/USDT: dropped 0 training points due to NaNs in populated dataset 14400.
2025-05-02 05:03:19,374 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Training on data from 2025-03-01 to 2025-03-30 --------------------
2025-05-02 05:03:19,433 - datasieve.pipeline - INFO - VarianceThreshold will remove 73 features from the dataset.on transform. ['%-%-order_book_imbalance-10_10_BTC/USDT_3m'
'%-%-order_book_imbalance-20_20_BTC/USDT_3m'
'%-%-order_book_imbalance-50_50_BTC/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-1_BTC/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-1_BTC/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-1_BTC/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-2_BTC/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-2_BTC/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-2_BTC/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-3_BTC/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-3_BTC/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-3_BTC/USDT_3m'
'%-%-order_book_imbalance-10_10_BTC/USDT_5m'
'%-%-order_book_imbalance-20_20_BTC/USDT_5m'
'%-%-order_book_imbalance-50_50_BTC/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-1_BTC/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-1_BTC/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-1_BTC/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-2_BTC/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-2_BTC/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-2_BTC/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-3_BTC/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-3_BTC/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-3_BTC/USDT_5m'
'%-%-order_book_imbalance-10_10_BTC/USDT_1h'
'%-%-order_book_imbalance-20_20_BTC/USDT_1h'
'%-%-order_book_imbalance-50_50_BTC/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-1_BTC/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-1_BTC/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-1_BTC/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-2_BTC/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-2_BTC/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-2_BTC/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-3_BTC/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-3_BTC/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-3_BTC/USDT_1h' '%-hour_of_day'
'%-%-order_book_imbalance-10_10_ETH/USDT_3m'
'%-%-order_book_imbalance-20_20_ETH/USDT_3m'
'%-%-order_book_imbalance-50_50_ETH/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-1_ETH/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-1_ETH/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-1_ETH/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-2_ETH/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-2_ETH/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-2_ETH/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-3_ETH/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-3_ETH/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-3_ETH/USDT_3m'
'%-%-order_book_imbalance-10_10_ETH/USDT_5m'
'%-%-order_book_imbalance-20_20_ETH/USDT_5m'
'%-%-order_book_imbalance-50_50_ETH/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-1_ETH/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-1_ETH/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-1_ETH/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-2_ETH/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-2_ETH/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-2_ETH/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-3_ETH/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-3_ETH/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-3_ETH/USDT_5m'
'%-%-order_book_imbalance-10_10_ETH/USDT_1h'
'%-%-order_book_imbalance-20_20_ETH/USDT_1h'
'%-%-order_book_imbalance-50_50_ETH/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-1_ETH/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-1_ETH/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-1_ETH/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-2_ETH/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-2_ETH/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-2_ETH/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-3_ETH/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-3_ETH/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-3_ETH/USDT_1h']
2025-05-02 05:03:19,474 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - Training model on 361 features
2025-05-02 05:03:19,475 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - Training model on 11520 data points
/home/ftuser/.local/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning:
[05:03:19] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
[99] validation_0-rmse:0.05230 validation_1-rmse:0.04572
2025-05-02 05:04:15,469 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Done training BTC/USDT (56.21 secs) --------------------
/home/ftuser/.local/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning:
[05:04:15] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
2025-05-02 05:04:15,509 - freqtrade.plot.plotting - INFO - Stored plot as /freqtrade/user_data/models/test175/sub-train-BTC_1743379200/cb_btc_1743379200--s_close.html
2025-05-02 05:04:15,510 - freqtrade.freqai.freqai_interface - INFO - Saving metadata to disk.
2025-05-02 05:04:15,621 - datasieve.pipeline - WARNING - Could not find step di in pipeline, returning None
2025-05-02 05:04:15,637 - freqtrade.freqai.freqai_interface - INFO - Training BTC/USDT, 1/2 pairs from 2025-03-11 00:00:00 to 2025-04-10 00:00:00, 5/5 trains
2025-05-02 05:04:15,638 - freqtrade.freqai.data_kitchen - INFO - Could not find backtesting prediction file at
/freqtrade/user_data/models/test175/backtesting_predictions/cb_btc_1744243200_prediction.feather
/freqtrade/templates/OKXRegressionStrategy.py:159: FutureWarning:
DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.
/freqtrade/templates/OKXRegressionStrategy.py:159: FutureWarning:
DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.
2025-05-02 05:04:16,350 - freqtrade.freqai.freqai_interface - INFO - Could not find model at /freqtrade/user_data/models/test175/sub-train-BTC_1744243200/cb_btc_1744243200
2025-05-02 05:04:16,351 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Starting training BTC/USDT --------------------
2025-05-02 05:04:16,456 - freqtrade.freqai.data_kitchen - INFO - BTC/USDT: dropped 0 training points due to NaNs in populated dataset 14400.
2025-05-02 05:04:16,456 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Training on data from 2025-03-11 to 2025-04-09 --------------------
2025-05-02 05:04:16,522 - datasieve.pipeline - INFO - VarianceThreshold will remove 73 features from the dataset.on transform. ['%-%-order_book_imbalance-10_10_BTC/USDT_3m'
'%-%-order_book_imbalance-20_20_BTC/USDT_3m'
'%-%-order_book_imbalance-50_50_BTC/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-1_BTC/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-1_BTC/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-1_BTC/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-2_BTC/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-2_BTC/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-2_BTC/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-3_BTC/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-3_BTC/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-3_BTC/USDT_3m'
'%-%-order_book_imbalance-10_10_BTC/USDT_5m'
'%-%-order_book_imbalance-20_20_BTC/USDT_5m'
'%-%-order_book_imbalance-50_50_BTC/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-1_BTC/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-1_BTC/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-1_BTC/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-2_BTC/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-2_BTC/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-2_BTC/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-3_BTC/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-3_BTC/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-3_BTC/USDT_5m'
'%-%-order_book_imbalance-10_10_BTC/USDT_1h'
'%-%-order_book_imbalance-20_20_BTC/USDT_1h'
'%-%-order_book_imbalance-50_50_BTC/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-1_BTC/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-1_BTC/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-1_BTC/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-2_BTC/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-2_BTC/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-2_BTC/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-3_BTC/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-3_BTC/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-3_BTC/USDT_1h' '%-hour_of_day'
'%-%-order_book_imbalance-10_10_ETH/USDT_3m'
'%-%-order_book_imbalance-20_20_ETH/USDT_3m'
'%-%-order_book_imbalance-50_50_ETH/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-1_ETH/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-1_ETH/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-1_ETH/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-2_ETH/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-2_ETH/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-2_ETH/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-3_ETH/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-3_ETH/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-3_ETH/USDT_3m'
'%-%-order_book_imbalance-10_10_ETH/USDT_5m'
'%-%-order_book_imbalance-20_20_ETH/USDT_5m'
'%-%-order_book_imbalance-50_50_ETH/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-1_ETH/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-1_ETH/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-1_ETH/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-2_ETH/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-2_ETH/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-2_ETH/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-3_ETH/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-3_ETH/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-3_ETH/USDT_5m'
'%-%-order_book_imbalance-10_10_ETH/USDT_1h'
'%-%-order_book_imbalance-20_20_ETH/USDT_1h'
'%-%-order_book_imbalance-50_50_ETH/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-1_ETH/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-1_ETH/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-1_ETH/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-2_ETH/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-2_ETH/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-2_ETH/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-3_ETH/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-3_ETH/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-3_ETH/USDT_1h']
2025-05-02 05:04:16,553 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - Training model on 361 features
2025-05-02 05:04:16,553 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - Training model on 11520 data points
/home/ftuser/.local/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning:
[05:04:17] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
[99] validation_0-rmse:0.04390 validation_1-rmse:0.03861
2025-05-02 05:05:14,027 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Done training BTC/USDT (57.68 secs) --------------------
/home/ftuser/.local/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning:
[05:05:14] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
2025-05-02 05:05:14,061 - freqtrade.plot.plotting - INFO - Stored plot as /freqtrade/user_data/models/test175/sub-train-BTC_1744243200/cb_btc_1744243200--s_close.html
2025-05-02 05:05:14,062 - freqtrade.freqai.freqai_interface - INFO - Saving metadata to disk.
2025-05-02 05:05:14,158 - datasieve.pipeline - WARNING - Could not find step di in pipeline, returning None
2025-05-02 05:05:14,287 - freqtrade.freqai.freqai_interface - INFO - Training 5 timeranges
2025-05-02 05:05:14,288 - freqtrade.freqai.freqai_interface - INFO - Training SOL/USDT, 2/2 pairs from 2025-01-30 00:00:00 to 2025-03-01 00:00:00, 1/5 trains
2025-05-02 05:05:14,289 - freqtrade.freqai.data_kitchen - INFO - Could not find backtesting prediction file at
/freqtrade/user_data/models/test175/backtesting_predictions/cb_sol_1740787200_prediction.feather
2025-05-02 05:05:22,330 - freqtrade.data.dataprovider - INFO - Increasing startup_candle_count for freqai on 5m to 8690
2025-05-02 05:05:22,330 - freqtrade.data.dataprovider - INFO - Loading data for SOL/USDT 5m from 2025-01-29 19:50:00 to 2025-04-20 00:00:00
2025-05-02 05:05:22,339 - freqtrade.data.history.datahandlers.idatahandler - WARNING - SOL/USDT, spot, 5m, data starts at 2025-02-01 00:00:00
2025-05-02 05:05:22,444 - freqtrade.data.dataprovider - INFO - Increasing startup_candle_count for freqai on 1h to 770
2025-05-02 05:05:22,445 - freqtrade.data.dataprovider - INFO - Loading data for SOL/USDT 1h from 2025-01-27 22:00:00 to 2025-04-20 00:00:00
2025-05-02 05:05:22,450 - freqtrade.data.history.datahandlers.idatahandler - WARNING - SOL/USDT, spot, 1h, data starts at 2025-02-01 00:00:00
2025-05-02 05:05:22,817 - freqtrade.data.dataprovider - INFO - Increasing startup_candle_count for freqai on 3m to 14450
2025-05-02 05:05:22,818 - freqtrade.data.dataprovider - INFO - Loading data for BTC/USDT 3m from 2025-01-29 21:30:00 to 2025-04-20 00:00:00
2025-05-02 05:05:22,828 - freqtrade.data.history.datahandlers.idatahandler - WARNING - BTC/USDT, spot, 3m, data starts at 2025-02-01 00:00:00
/freqtrade/templates/OKXRegressionStrategy.py:159: FutureWarning:
DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.
/freqtrade/templates/OKXRegressionStrategy.py:159: FutureWarning:
DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.
2025-05-02 05:05:24,451 - freqtrade.freqai.freqai_interface - INFO - Could not find model at /freqtrade/user_data/models/test175/sub-train-SOL_1740787200/cb_sol_1740787200
2025-05-02 05:05:24,452 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Starting training SOL/USDT --------------------
2025-05-02 05:05:24,607 - freqtrade.freqai.data_kitchen - INFO - SOL/USDT: dropped 0 training points due to NaNs in populated dataset 13440.
2025-05-02 05:05:24,608 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Training on data from 2025-02-01 to 2025-02-28 --------------------
2025-05-02 05:05:24,698 - datasieve.pipeline - INFO - VarianceThreshold will remove 19 features from the dataset.on transform. ['%-%-order_book_imbalance-10_10_SOL/USDT_3m'
'%-%-order_book_imbalance-20_20_SOL/USDT_3m'
'%-%-order_book_imbalance-50_50_SOL/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-1_SOL/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-1_SOL/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-1_SOL/USDT_3m' '%-hour_of_day'
'%-%-order_book_imbalance-10_10_BTC/USDT_3m'
'%-%-order_book_imbalance-20_20_BTC/USDT_3m'
'%-%-order_book_imbalance-50_50_BTC/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-1_BTC/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-1_BTC/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-1_BTC/USDT_3m'
'%-%-order_book_imbalance-10_10_ETH/USDT_3m'
'%-%-order_book_imbalance-20_20_ETH/USDT_3m'
'%-%-order_book_imbalance-50_50_ETH/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-1_ETH/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-1_ETH/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-1_ETH/USDT_3m']
2025-05-02 05:05:24,754 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - Training model on 631 features
2025-05-02 05:05:24,754 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - Training model on 10752 data points
/home/ftuser/.local/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning:
[05:05:25] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
[99] validation_0-rmse:0.06031 validation_1-rmse:0.05308
2025-05-02 05:06:48,659 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Done training SOL/USDT (84.21 secs) --------------------
/home/ftuser/.local/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning:
[05:06:48] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
2025-05-02 05:06:48,692 - freqtrade.plot.plotting - INFO - Stored plot as /freqtrade/user_data/models/test175/sub-train-SOL_1740787200/cb_sol_1740787200--s_close.html
2025-05-02 05:06:48,693 - freqtrade.freqai.freqai_interface - INFO - Saving metadata to disk.
2025-05-02 05:06:48,843 - datasieve.pipeline - WARNING - Could not find step di in pipeline, returning None
2025-05-02 05:06:48,859 - freqtrade.freqai.freqai_interface - INFO - Training SOL/USDT, 2/2 pairs from 2025-02-09 00:00:00 to 2025-03-11 00:00:00, 2/5 trains
2025-05-02 05:06:48,860 - freqtrade.freqai.data_kitchen - INFO - Could not find backtesting prediction file at
/freqtrade/user_data/models/test175/backtesting_predictions/cb_sol_1741651200_prediction.feather
/freqtrade/templates/OKXRegressionStrategy.py:159: FutureWarning:
DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.
/freqtrade/templates/OKXRegressionStrategy.py:159: FutureWarning:
DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.
2025-05-02 05:06:49,573 - freqtrade.freqai.freqai_interface - INFO - Could not find model at /freqtrade/user_data/models/test175/sub-train-SOL_1741651200/cb_sol_1741651200
2025-05-02 05:06:49,574 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Starting training SOL/USDT --------------------
2025-05-02 05:06:49,749 - freqtrade.freqai.data_kitchen - INFO - SOL/USDT: dropped 0 training points due to NaNs in populated dataset 14400.
2025-05-02 05:06:49,750 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Training on data from 2025-02-09 to 2025-03-10 --------------------
2025-05-02 05:06:49,844 - datasieve.pipeline - INFO - VarianceThreshold will remove 109 features from the dataset.on transform. ['%-%-order_book_imbalance-10_10_SOL/USDT_3m'
'%-%-order_book_imbalance-20_20_SOL/USDT_3m'
'%-%-order_book_imbalance-50_50_SOL/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-1_SOL/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-1_SOL/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-1_SOL/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-2_SOL/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-2_SOL/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-2_SOL/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-3_SOL/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-3_SOL/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-3_SOL/USDT_3m'
'%-%-order_book_imbalance-10_10_SOL/USDT_5m'
'%-%-order_book_imbalance-20_20_SOL/USDT_5m'
'%-%-order_book_imbalance-50_50_SOL/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-1_SOL/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-1_SOL/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-1_SOL/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-2_SOL/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-2_SOL/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-2_SOL/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-3_SOL/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-3_SOL/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-3_SOL/USDT_5m'
'%-%-order_book_imbalance-10_10_SOL/USDT_1h'
'%-%-order_book_imbalance-20_20_SOL/USDT_1h'
'%-%-order_book_imbalance-50_50_SOL/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-1_SOL/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-1_SOL/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-1_SOL/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-2_SOL/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-2_SOL/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-2_SOL/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-3_SOL/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-3_SOL/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-3_SOL/USDT_1h' '%-hour_of_day'
'%-%-order_book_imbalance-10_10_BTC/USDT_3m'
'%-%-order_book_imbalance-20_20_BTC/USDT_3m'
'%-%-order_book_imbalance-50_50_BTC/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-1_BTC/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-1_BTC/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-1_BTC/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-2_BTC/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-2_BTC/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-2_BTC/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-3_BTC/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-3_BTC/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-3_BTC/USDT_3m'
'%-%-order_book_imbalance-10_10_BTC/USDT_5m'
'%-%-order_book_imbalance-20_20_BTC/USDT_5m'
'%-%-order_book_imbalance-50_50_BTC/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-1_BTC/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-1_BTC/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-1_BTC/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-2_BTC/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-2_BTC/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-2_BTC/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-3_BTC/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-3_BTC/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-3_BTC/USDT_5m'
'%-%-order_book_imbalance-10_10_BTC/USDT_1h'
'%-%-order_book_imbalance-20_20_BTC/USDT_1h'
'%-%-order_book_imbalance-50_50_BTC/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-1_BTC/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-1_BTC/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-1_BTC/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-2_BTC/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-2_BTC/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-2_BTC/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-3_BTC/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-3_BTC/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-3_BTC/USDT_1h'
'%-%-order_book_imbalance-10_10_ETH/USDT_3m'
'%-%-order_book_imbalance-20_20_ETH/USDT_3m'
'%-%-order_book_imbalance-50_50_ETH/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-1_ETH/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-1_ETH/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-1_ETH/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-2_ETH/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-2_ETH/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-2_ETH/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-3_ETH/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-3_ETH/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-3_ETH/USDT_3m'
'%-%-order_book_imbalance-10_10_ETH/USDT_5m'
'%-%-order_book_imbalance-20_20_ETH/USDT_5m'
'%-%-order_book_imbalance-50_50_ETH/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-1_ETH/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-1_ETH/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-1_ETH/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-2_ETH/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-2_ETH/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-2_ETH/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-3_ETH/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-3_ETH/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-3_ETH/USDT_5m'
'%-%-order_book_imbalance-10_10_ETH/USDT_1h'
'%-%-order_book_imbalance-20_20_ETH/USDT_1h'
'%-%-order_book_imbalance-50_50_ETH/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-1_ETH/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-1_ETH/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-1_ETH/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-2_ETH/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-2_ETH/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-2_ETH/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-3_ETH/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-3_ETH/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-3_ETH/USDT_1h']
2025-05-02 05:06:49,898 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - Training model on 541 features
2025-05-02 05:06:49,899 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - Training model on 11520 data points
/home/ftuser/.local/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning:
[05:06:50] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
[99] validation_0-rmse:0.04711 validation_1-rmse:0.04089
2025-05-02 05:08:12,950 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Done training SOL/USDT (83.38 secs) --------------------
/home/ftuser/.local/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning:
[05:08:12] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
2025-05-02 05:08:12,985 - freqtrade.plot.plotting - INFO - Stored plot as /freqtrade/user_data/models/test175/sub-train-SOL_1741651200/cb_sol_1741651200--s_close.html
2025-05-02 05:08:12,985 - freqtrade.freqai.freqai_interface - INFO - Saving metadata to disk.
2025-05-02 05:08:13,125 - datasieve.pipeline - WARNING - Could not find step di in pipeline, returning None
2025-05-02 05:08:13,142 - freqtrade.freqai.freqai_interface - INFO - Training SOL/USDT, 2/2 pairs from 2025-02-19 00:00:00 to 2025-03-21 00:00:00, 3/5 trains
2025-05-02 05:08:13,142 - freqtrade.freqai.data_kitchen - INFO - Could not find backtesting prediction file at
/freqtrade/user_data/models/test175/backtesting_predictions/cb_sol_1742515200_prediction.feather
/freqtrade/templates/OKXRegressionStrategy.py:159: FutureWarning:
DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.
/freqtrade/templates/OKXRegressionStrategy.py:159: FutureWarning:
DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.
2025-05-02 05:08:13,994 - freqtrade.freqai.freqai_interface - INFO - Could not find model at /freqtrade/user_data/models/test175/sub-train-SOL_1742515200/cb_sol_1742515200
2025-05-02 05:08:13,995 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Starting training SOL/USDT --------------------
2025-05-02 05:08:14,155 - freqtrade.freqai.data_kitchen - INFO - SOL/USDT: dropped 0 training points due to NaNs in populated dataset 14400.
2025-05-02 05:08:14,156 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Training on data from 2025-02-19 to 2025-03-20 --------------------
2025-05-02 05:08:14,251 - datasieve.pipeline - INFO - VarianceThreshold will remove 109 features from the dataset.on transform. ['%-%-order_book_imbalance-10_10_SOL/USDT_3m'
'%-%-order_book_imbalance-20_20_SOL/USDT_3m'
'%-%-order_book_imbalance-50_50_SOL/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-1_SOL/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-1_SOL/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-1_SOL/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-2_SOL/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-2_SOL/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-2_SOL/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-3_SOL/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-3_SOL/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-3_SOL/USDT_3m'
'%-%-order_book_imbalance-10_10_SOL/USDT_5m'
'%-%-order_book_imbalance-20_20_SOL/USDT_5m'
'%-%-order_book_imbalance-50_50_SOL/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-1_SOL/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-1_SOL/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-1_SOL/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-2_SOL/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-2_SOL/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-2_SOL/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-3_SOL/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-3_SOL/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-3_SOL/USDT_5m'
'%-%-order_book_imbalance-10_10_SOL/USDT_1h'
'%-%-order_book_imbalance-20_20_SOL/USDT_1h'
'%-%-order_book_imbalance-50_50_SOL/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-1_SOL/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-1_SOL/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-1_SOL/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-2_SOL/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-2_SOL/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-2_SOL/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-3_SOL/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-3_SOL/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-3_SOL/USDT_1h' '%-hour_of_day'
'%-%-order_book_imbalance-10_10_BTC/USDT_3m'
'%-%-order_book_imbalance-20_20_BTC/USDT_3m'
'%-%-order_book_imbalance-50_50_BTC/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-1_BTC/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-1_BTC/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-1_BTC/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-2_BTC/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-2_BTC/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-2_BTC/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-3_BTC/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-3_BTC/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-3_BTC/USDT_3m'
'%-%-order_book_imbalance-10_10_BTC/USDT_5m'
'%-%-order_book_imbalance-20_20_BTC/USDT_5m'
'%-%-order_book_imbalance-50_50_BTC/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-1_BTC/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-1_BTC/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-1_BTC/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-2_BTC/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-2_BTC/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-2_BTC/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-3_BTC/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-3_BTC/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-3_BTC/USDT_5m'
'%-%-order_book_imbalance-10_10_BTC/USDT_1h'
'%-%-order_book_imbalance-20_20_BTC/USDT_1h'
'%-%-order_book_imbalance-50_50_BTC/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-1_BTC/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-1_BTC/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-1_BTC/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-2_BTC/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-2_BTC/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-2_BTC/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-3_BTC/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-3_BTC/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-3_BTC/USDT_1h'
'%-%-order_book_imbalance-10_10_ETH/USDT_3m'
'%-%-order_book_imbalance-20_20_ETH/USDT_3m'
'%-%-order_book_imbalance-50_50_ETH/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-1_ETH/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-1_ETH/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-1_ETH/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-2_ETH/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-2_ETH/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-2_ETH/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-3_ETH/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-3_ETH/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-3_ETH/USDT_3m'
'%-%-order_book_imbalance-10_10_ETH/USDT_5m'
'%-%-order_book_imbalance-20_20_ETH/USDT_5m'
'%-%-order_book_imbalance-50_50_ETH/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-1_ETH/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-1_ETH/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-1_ETH/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-2_ETH/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-2_ETH/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-2_ETH/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-3_ETH/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-3_ETH/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-3_ETH/USDT_5m'
'%-%-order_book_imbalance-10_10_ETH/USDT_1h'
'%-%-order_book_imbalance-20_20_ETH/USDT_1h'
'%-%-order_book_imbalance-50_50_ETH/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-1_ETH/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-1_ETH/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-1_ETH/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-2_ETH/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-2_ETH/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-2_ETH/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-3_ETH/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-3_ETH/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-3_ETH/USDT_1h']
2025-05-02 05:08:14,304 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - Training model on 541 features
2025-05-02 05:08:14,304 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - Training model on 11520 data points
/home/ftuser/.local/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning:
[05:08:14] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
[99] validation_0-rmse:0.04230 validation_1-rmse:0.03809
2025-05-02 05:09:37,344 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Done training SOL/USDT (83.35 secs) --------------------
/home/ftuser/.local/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning:
[05:09:37] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
2025-05-02 05:09:37,379 - freqtrade.plot.plotting - INFO - Stored plot as /freqtrade/user_data/models/test175/sub-train-SOL_1742515200/cb_sol_1742515200--s_close.html
2025-05-02 05:09:37,379 - freqtrade.freqai.freqai_interface - INFO - Saving metadata to disk.
2025-05-02 05:09:37,522 - datasieve.pipeline - WARNING - Could not find step di in pipeline, returning None
2025-05-02 05:09:37,539 - freqtrade.freqai.freqai_interface - INFO - Training SOL/USDT, 2/2 pairs from 2025-03-01 00:00:00 to 2025-03-31 00:00:00, 4/5 trains
2025-05-02 05:09:37,540 - freqtrade.freqai.data_kitchen - INFO - Could not find backtesting prediction file at
/freqtrade/user_data/models/test175/backtesting_predictions/cb_sol_1743379200_prediction.feather
/freqtrade/templates/OKXRegressionStrategy.py:159: FutureWarning:
DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.
/freqtrade/templates/OKXRegressionStrategy.py:159: FutureWarning:
DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.
2025-05-02 05:09:38,473 - freqtrade.freqai.freqai_interface - INFO - Could not find model at /freqtrade/user_data/models/test175/sub-train-SOL_1743379200/cb_sol_1743379200
2025-05-02 05:09:38,474 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Starting training SOL/USDT --------------------
2025-05-02 05:09:38,642 - freqtrade.freqai.data_kitchen - INFO - SOL/USDT: dropped 0 training points due to NaNs in populated dataset 14400.
2025-05-02 05:09:38,642 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Training on data from 2025-03-01 to 2025-03-30 --------------------
2025-05-02 05:09:38,731 - datasieve.pipeline - INFO - VarianceThreshold will remove 109 features from the dataset.on transform. ['%-%-order_book_imbalance-10_10_SOL/USDT_3m'
'%-%-order_book_imbalance-20_20_SOL/USDT_3m'
'%-%-order_book_imbalance-50_50_SOL/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-1_SOL/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-1_SOL/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-1_SOL/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-2_SOL/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-2_SOL/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-2_SOL/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-3_SOL/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-3_SOL/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-3_SOL/USDT_3m'
'%-%-order_book_imbalance-10_10_SOL/USDT_5m'
'%-%-order_book_imbalance-20_20_SOL/USDT_5m'
'%-%-order_book_imbalance-50_50_SOL/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-1_SOL/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-1_SOL/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-1_SOL/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-2_SOL/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-2_SOL/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-2_SOL/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-3_SOL/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-3_SOL/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-3_SOL/USDT_5m'
'%-%-order_book_imbalance-10_10_SOL/USDT_1h'
'%-%-order_book_imbalance-20_20_SOL/USDT_1h'
'%-%-order_book_imbalance-50_50_SOL/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-1_SOL/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-1_SOL/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-1_SOL/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-2_SOL/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-2_SOL/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-2_SOL/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-3_SOL/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-3_SOL/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-3_SOL/USDT_1h' '%-hour_of_day'
'%-%-order_book_imbalance-10_10_BTC/USDT_3m'
'%-%-order_book_imbalance-20_20_BTC/USDT_3m'
'%-%-order_book_imbalance-50_50_BTC/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-1_BTC/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-1_BTC/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-1_BTC/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-2_BTC/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-2_BTC/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-2_BTC/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-3_BTC/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-3_BTC/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-3_BTC/USDT_3m'
'%-%-order_book_imbalance-10_10_BTC/USDT_5m'
'%-%-order_book_imbalance-20_20_BTC/USDT_5m'
'%-%-order_book_imbalance-50_50_BTC/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-1_BTC/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-1_BTC/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-1_BTC/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-2_BTC/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-2_BTC/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-2_BTC/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-3_BTC/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-3_BTC/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-3_BTC/USDT_5m'
'%-%-order_book_imbalance-10_10_BTC/USDT_1h'
'%-%-order_book_imbalance-20_20_BTC/USDT_1h'
'%-%-order_book_imbalance-50_50_BTC/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-1_BTC/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-1_BTC/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-1_BTC/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-2_BTC/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-2_BTC/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-2_BTC/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-3_BTC/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-3_BTC/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-3_BTC/USDT_1h'
'%-%-order_book_imbalance-10_10_ETH/USDT_3m'
'%-%-order_book_imbalance-20_20_ETH/USDT_3m'
'%-%-order_book_imbalance-50_50_ETH/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-1_ETH/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-1_ETH/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-1_ETH/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-2_ETH/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-2_ETH/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-2_ETH/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-3_ETH/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-3_ETH/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-3_ETH/USDT_3m'
'%-%-order_book_imbalance-10_10_ETH/USDT_5m'
'%-%-order_book_imbalance-20_20_ETH/USDT_5m'
'%-%-order_book_imbalance-50_50_ETH/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-1_ETH/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-1_ETH/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-1_ETH/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-2_ETH/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-2_ETH/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-2_ETH/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-3_ETH/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-3_ETH/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-3_ETH/USDT_5m'
'%-%-order_book_imbalance-10_10_ETH/USDT_1h'
'%-%-order_book_imbalance-20_20_ETH/USDT_1h'
'%-%-order_book_imbalance-50_50_ETH/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-1_ETH/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-1_ETH/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-1_ETH/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-2_ETH/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-2_ETH/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-2_ETH/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-3_ETH/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-3_ETH/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-3_ETH/USDT_1h']
2025-05-02 05:09:38,789 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - Training model on 541 features
2025-05-02 05:09:38,790 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - Training model on 11520 data points
/home/ftuser/.local/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning:
[05:09:39] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
[99] validation_0-rmse:0.03722 validation_1-rmse:0.03277
2025-05-02 05:11:04,332 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Done training SOL/USDT (85.86 secs) --------------------
/home/ftuser/.local/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning:
[05:11:04] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
2025-05-02 05:11:04,369 - freqtrade.plot.plotting - INFO - Stored plot as /freqtrade/user_data/models/test175/sub-train-SOL_1743379200/cb_sol_1743379200--s_close.html
2025-05-02 05:11:04,369 - freqtrade.freqai.freqai_interface - INFO - Saving metadata to disk.
2025-05-02 05:11:04,507 - datasieve.pipeline - WARNING - Could not find step di in pipeline, returning None
2025-05-02 05:11:04,524 - freqtrade.freqai.freqai_interface - INFO - Training SOL/USDT, 2/2 pairs from 2025-03-11 00:00:00 to 2025-04-10 00:00:00, 5/5 trains
2025-05-02 05:11:04,525 - freqtrade.freqai.data_kitchen - INFO - Could not find backtesting prediction file at
/freqtrade/user_data/models/test175/backtesting_predictions/cb_sol_1744243200_prediction.feather
/freqtrade/templates/OKXRegressionStrategy.py:159: FutureWarning:
DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.
/freqtrade/templates/OKXRegressionStrategy.py:159: FutureWarning:
DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.
2025-05-02 05:11:05,570 - freqtrade.freqai.freqai_interface - INFO - Could not find model at /freqtrade/user_data/models/test175/sub-train-SOL_1744243200/cb_sol_1744243200
2025-05-02 05:11:05,570 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Starting training SOL/USDT --------------------
2025-05-02 05:11:05,738 - freqtrade.freqai.data_kitchen - INFO - SOL/USDT: dropped 0 training points due to NaNs in populated dataset 14400.
2025-05-02 05:11:05,739 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Training on data from 2025-03-11 to 2025-04-09 --------------------
2025-05-02 05:11:05,833 - datasieve.pipeline - INFO - VarianceThreshold will remove 109 features from the dataset.on transform. ['%-%-order_book_imbalance-10_10_SOL/USDT_3m'
'%-%-order_book_imbalance-20_20_SOL/USDT_3m'
'%-%-order_book_imbalance-50_50_SOL/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-1_SOL/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-1_SOL/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-1_SOL/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-2_SOL/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-2_SOL/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-2_SOL/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-3_SOL/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-3_SOL/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-3_SOL/USDT_3m'
'%-%-order_book_imbalance-10_10_SOL/USDT_5m'
'%-%-order_book_imbalance-20_20_SOL/USDT_5m'
'%-%-order_book_imbalance-50_50_SOL/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-1_SOL/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-1_SOL/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-1_SOL/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-2_SOL/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-2_SOL/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-2_SOL/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-3_SOL/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-3_SOL/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-3_SOL/USDT_5m'
'%-%-order_book_imbalance-10_10_SOL/USDT_1h'
'%-%-order_book_imbalance-20_20_SOL/USDT_1h'
'%-%-order_book_imbalance-50_50_SOL/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-1_SOL/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-1_SOL/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-1_SOL/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-2_SOL/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-2_SOL/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-2_SOL/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-3_SOL/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-3_SOL/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-3_SOL/USDT_1h' '%-hour_of_day'
'%-%-order_book_imbalance-10_10_BTC/USDT_3m'
'%-%-order_book_imbalance-20_20_BTC/USDT_3m'
'%-%-order_book_imbalance-50_50_BTC/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-1_BTC/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-1_BTC/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-1_BTC/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-2_BTC/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-2_BTC/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-2_BTC/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-3_BTC/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-3_BTC/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-3_BTC/USDT_3m'
'%-%-order_book_imbalance-10_10_BTC/USDT_5m'
'%-%-order_book_imbalance-20_20_BTC/USDT_5m'
'%-%-order_book_imbalance-50_50_BTC/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-1_BTC/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-1_BTC/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-1_BTC/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-2_BTC/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-2_BTC/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-2_BTC/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-3_BTC/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-3_BTC/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-3_BTC/USDT_5m'
'%-%-order_book_imbalance-10_10_BTC/USDT_1h'
'%-%-order_book_imbalance-20_20_BTC/USDT_1h'
'%-%-order_book_imbalance-50_50_BTC/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-1_BTC/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-1_BTC/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-1_BTC/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-2_BTC/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-2_BTC/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-2_BTC/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-3_BTC/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-3_BTC/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-3_BTC/USDT_1h'
'%-%-order_book_imbalance-10_10_ETH/USDT_3m'
'%-%-order_book_imbalance-20_20_ETH/USDT_3m'
'%-%-order_book_imbalance-50_50_ETH/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-1_ETH/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-1_ETH/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-1_ETH/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-2_ETH/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-2_ETH/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-2_ETH/USDT_3m'
'%-%-order_book_imbalance-10_10_shift-3_ETH/USDT_3m'
'%-%-order_book_imbalance-20_20_shift-3_ETH/USDT_3m'
'%-%-order_book_imbalance-50_50_shift-3_ETH/USDT_3m'
'%-%-order_book_imbalance-10_10_ETH/USDT_5m'
'%-%-order_book_imbalance-20_20_ETH/USDT_5m'
'%-%-order_book_imbalance-50_50_ETH/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-1_ETH/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-1_ETH/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-1_ETH/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-2_ETH/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-2_ETH/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-2_ETH/USDT_5m'
'%-%-order_book_imbalance-10_10_shift-3_ETH/USDT_5m'
'%-%-order_book_imbalance-20_20_shift-3_ETH/USDT_5m'
'%-%-order_book_imbalance-50_50_shift-3_ETH/USDT_5m'
'%-%-order_book_imbalance-10_10_ETH/USDT_1h'
'%-%-order_book_imbalance-20_20_ETH/USDT_1h'
'%-%-order_book_imbalance-50_50_ETH/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-1_ETH/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-1_ETH/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-1_ETH/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-2_ETH/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-2_ETH/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-2_ETH/USDT_1h'
'%-%-order_book_imbalance-10_10_shift-3_ETH/USDT_1h'
'%-%-order_book_imbalance-20_20_shift-3_ETH/USDT_1h'
'%-%-order_book_imbalance-50_50_shift-3_ETH/USDT_1h']
2025-05-02 05:11:05,886 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - Training model on 541 features
2025-05-02 05:11:05,887 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - Training model on 11520 data points
/home/ftuser/.local/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning:
[05:11:06] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
[99] validation_0-rmse:0.04374 validation_1-rmse:0.03837
2025-05-02 05:12:31,493 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Done training SOL/USDT (85.92 secs) --------------------
/home/ftuser/.local/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning:
[05:12:31] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
2025-05-02 05:12:31,532 - freqtrade.plot.plotting - INFO - Stored plot as /freqtrade/user_data/models/test175/sub-train-SOL_1744243200/cb_sol_1744243200--s_close.html
2025-05-02 05:12:31,532 - freqtrade.freqai.freqai_interface - INFO - Saving metadata to disk.
2025-05-02 05:12:31,676 - datasieve.pipeline - WARNING - Could not find step di in pipeline, returning None
2025-05-02 05:12:31,856 - freqtrade.optimize.backtesting - INFO - Backtesting with data from 2025-03-03 02:30:00 up to 2025-04-20 00:00:00 (47 days).
2025-05-02 05:12:32,235 - freqtrade.misc - INFO - dumping json to "/freqtrade/user_data/backtest_results/backtest-result-2025-05-02_05-12-32.meta.json"
Result for strategy OKXRegressionStrategy
BACKTESTING REPORT
┏━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ Pair ┃ Trades ┃ Avg Profit % ┃ Tot Profit USDT ┃ Tot Profit % ┃ Avg Duration ┃ Win Draw Loss Win% ┃
┡━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━┩
│ BTC/USDT │ 0 │ 0.0 │ 0.000 │ 0.0 │ 0:00 │ 0 0 0 0 │
│ SOL/USDT │ 21 │ -0.57 │ -2.399 │ -0.24 │ 0:38:00 │ 5 0 16 23.8 │
│ TOTAL │ 21 │ -0.57 │ -2.399 │ -0.24 │ 0:38:00 │ 5 0 16 23.8 │
└──────────┴────────┴──────────────┴─────────────────┴──────────────┴──────────────┴────────────────────────┘
LEFT OPEN TRADES REPORT
┏━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ Pair ┃ Trades ┃ Avg Profit % ┃ Tot Profit USDT ┃ Tot Profit % ┃ Avg Duration ┃ Win Draw Loss Win% ┃
┡━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━┩
│ TOTAL │ 0 │ 0.0 │ 0.000 │ 0.0 │ 0:00 │ 0 0 0 0 │
└───────┴────────┴──────────────┴─────────────────┴──────────────┴──────────────┴────────────────────────┘
ENTER TAG STATS
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ Enter Tag ┃ Entries ┃ Avg Profit % ┃ Tot Profit USDT ┃ Tot Profit % ┃ Avg Duration ┃ Win Draw Loss Win% ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━┩
│ OTHER │ 21 │ -0.57 │ -2.399 │ -0.24 │ 0:38:00 │ 5 0 16 23.8 │
│ TOTAL │ 21 │ -0.57 │ -2.399 │ -0.24 │ 0:38:00 │ 5 0 16 23.8 │
└───────────┴─────────┴──────────────┴─────────────────┴──────────────┴──────────────┴────────────────────────┘
EXIT REASON STATS
┏━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ Exit Reason ┃ Exits ┃ Avg Profit % ┃ Tot Profit USDT ┃ Tot Profit % ┃ Avg Duration ┃ Win Draw Loss Win% ┃
┡━━━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━┩
│ trailing_stop_loss │ 18 │ -0.22 │ -0.778 │ -0.08 │ 0:35:00 │ 5 0 13 27.8 │
│ exit_signal │ 3 │ -2.7 │ -1.622 │ -0.16 │ 0:56:00 │ 0 0 3 0 │
│ TOTAL │ 21 │ -0.57 │ -2.399 │ -0.24 │ 0:38:00 │ 5 0 16 23.8 │
└────────────────────┴───────┴──────────────┴─────────────────┴──────────────┴──────────────┴────────────────────────┘
MIXED TAG STATS
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ Enter Tag ┃ Exit Reason ┃ Trades ┃ Avg Profit % ┃ Tot Profit USDT ┃ Tot Profit % ┃ Avg Duration ┃ Win Draw Loss Win% ┃
┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━┩
│ ('', 'trailing_stop_loss') │ │ 18 │ -0.22 │ -0.778 │ -0.08 │ 0:35:00 │ 5 0 13 27.8 │
│ ('', 'exit_signal') │ │ 3 │ -2.7 │ -1.622 │ -0.16 │ 0:56:00 │ 0 0 3 0 │
│ TOTAL │ │ 21 │ -0.57 │ -2.399 │ -0.24 │ 0:38:00 │ 5 0 16 23.8 │
└────────────────────────────┴─────────────┴────────┴──────────────┴─────────────────┴──────────────┴──────────────┴────────────────────────┘
SUMMARY METRICS
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┓
┃ Metric ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━┩
│ Backtesting from │ 2025-03-03 02:30:00 │
│ Backtesting to │ 2025-04-20 00:00:00 │
│ Trading Mode │ Spot │
│ Max open trades │ 2 │
│ │ │
│ Total/Daily Avg Trades │ 21 / 0.45 │
│ Starting balance │ 1000 USDT │
│ Final balance │ 997.601 USDT │
│ Absolute profit │ -2.399 USDT │
│ Total profit % │ -0.24% │
│ CAGR % │ -1.85% │
│ Sortino │ -5.14 │
│ Sharpe │ -4.05 │
│ Calmar │ -40.50 │
│ SQN │ -2.12 │
│ Profit factor │ 0.27 │
│ Expectancy (Ratio) │ -0.11 (-0.56) │
│ Avg. daily profit % │ -0.01% │
│ Avg. stake amount │ 19.979 USDT │
│ Total trade volume │ 839.227 USDT │
│ │ │
│ Best Pair │ BTC/USDT 0.00% │
│ Worst Pair │ SOL/USDT -0.24% │
│ Best trade │ SOL/USDT 2.02% │
│ Worst trade │ SOL/USDT -3.99% │
│ Best day │ 0.145 USDT │
│ Worst day │ -1.273 USDT │
│ Days win/draw/lose │ 2 / 28 / 7 │
│ Avg. Duration Winners │ 0:22:00 │
│ Avg. Duration Loser │ 0:43:00 │
│ Max Consecutive Wins / Loss │ 3 / 9 │
│ Rejected Entry signals │ 0 │
│ Entry/Exit Timeouts │ 0 / 0 │
│ │ │
│ Min balance │ 997.448 USDT │
│ Max balance │ 999.856 USDT │
│ Max % of account underwater │ 0.24% │
│ Absolute Drawdown (Account) │ 0.24% │
│ Absolute Drawdown │ 2.408 USDT │
│ Drawdown high │ -0.144 USDT │
│ Drawdown low │ -2.552 USDT │
│ Drawdown Start │ 2025-03-04 21:27:00 │
│ Drawdown End │ 2025-04-07 17:06:00 │
│ Market change │ -28.24% │
└─────────────────────────────┴─────────────────────┘
Backtested 2025-03-03 02:30:00 -> 2025-04-20 00:00:00 | Max open trades : 2
STRATEGY SUMMARY
┏━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓
┃ Strategy ┃ Trades ┃ Avg Profit % ┃ Tot Profit USDT ┃ Tot Profit % ┃ Avg Duration ┃ Win Draw Loss Win% ┃ Drawdown ┃
┡━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩
│ OKXRegressionStrategy │ 21 │ -0.57 │ -2.399 │ -0.24 │ 0:38:00 │ 5 0 16 23.8 │ 2.408 USDT 0.24% │
└───────────────────────┴────────┴──────────────┴─────────────────┴──────────────┴──────────────┴────────────────────────┴───────────────────┘
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