myTestFreqAI/output.log
zhangkun9038@dingtalk.com 2400e609d9 log
2025-05-02 11:20:03 +08:00

3276 lines
205 KiB
Plaintext

Creating freqtrade_freqtrade_run ...
Creating freqtrade_freqtrade_run ... done
2025-05-02 03:07:27,469 - freqtrade - INFO - freqtrade 2025.3
2025-05-02 03:07:27,687 - numexpr.utils - INFO - NumExpr defaulting to 12 threads.
2025-05-02 03:07:29,101 - freqtrade.configuration.load_config - INFO - Using config: /freqtrade/config_examples/config_freqai.okx.json ...
2025-05-02 03:07:29,104 - freqtrade.loggers - INFO - Enabling colorized output.
2025-05-02 03:07:29,104 - root - INFO - Logfile configured
2025-05-02 03:07:29,104 - freqtrade.loggers - INFO - Verbosity set to 0
2025-05-02 03:07:29,105 - freqtrade.configuration.configuration - INFO - Using additional Strategy lookup path: /freqtrade/templates
2025-05-02 03:07:29,105 - freqtrade.configuration.configuration - INFO - Using max_open_trades: 4 ...
2025-05-02 03:07:29,105 - freqtrade.configuration.configuration - INFO - Parameter --timerange detected: 20250301-20250420 ...
2025-05-02 03:07:29,139 - freqtrade.configuration.configuration - INFO - Using user-data directory: /freqtrade/user_data ...
2025-05-02 03:07:29,140 - freqtrade.configuration.configuration - INFO - Using data directory: /freqtrade/user_data/data/okx ...
2025-05-02 03:07:29,140 - freqtrade.configuration.configuration - INFO - Parameter --cache=none detected ...
2025-05-02 03:07:29,141 - freqtrade.configuration.configuration - INFO - Filter trades by timerange: 20250301-20250420
2025-05-02 03:07:29,141 - freqtrade.configuration.configuration - INFO - Using freqaimodel class name: XGBoostRegressor
2025-05-02 03:07:29,142 - freqtrade.exchange.check_exchange - INFO - Checking exchange...
2025-05-02 03:07:29,149 - freqtrade.exchange.check_exchange - INFO - Exchange "okx" is officially supported by the Freqtrade development team.
2025-05-02 03:07:29,149 - freqtrade.configuration.configuration - INFO - Using pairlist from configuration.
2025-05-02 03:07:29,150 - freqtrade.configuration.config_validation - INFO - Validating configuration ...
2025-05-02 03:07:29,152 - freqtrade.commands.optimize_commands - INFO - Starting freqtrade in Backtesting mode
2025-05-02 03:07:29,153 - freqtrade.exchange.exchange - INFO - Instance is running with dry_run enabled
2025-05-02 03:07:29,153 - freqtrade.exchange.exchange - INFO - Using CCXT 4.4.69
2025-05-02 03:07:29,153 - freqtrade.exchange.exchange - INFO - Applying additional ccxt config: {'enableRateLimit': True, 'rateLimit': 500, 'options': {'defaultType': 'spot'}}
2025-05-02 03:07:29,158 - freqtrade.exchange.exchange - INFO - Applying additional ccxt config: {'enableRateLimit': True, 'rateLimit': 500, 'options': {'defaultType': 'spot'}, 'timeout': 20000}
2025-05-02 03:07:29,164 - freqtrade.exchange.exchange - INFO - Using Exchange "OKX"
2025-05-02 03:07:31,712 - freqtrade.resolvers.exchange_resolver - INFO - Using resolved exchange 'Okx'...
2025-05-02 03:07:31,769 - freqtrade.resolvers.iresolver - INFO - Using resolved strategy OKXRegressionStrategy from '/freqtrade/templates/OKXRegressionStrategy.py'...
2025-05-02 03:07:31,770 - freqtrade.strategy.hyper - INFO - Found no parameter file.
2025-05-02 03:07:31,771 - freqtrade.resolvers.strategy_resolver - INFO - Override strategy 'timeframe' with value in config file: 3m.
2025-05-02 03:07:31,771 - freqtrade.resolvers.strategy_resolver - INFO - Override strategy 'stoploss' with value in config file: -0.05.
2025-05-02 03:07:31,771 - freqtrade.resolvers.strategy_resolver - INFO - Override strategy 'stake_currency' with value in config file: USDT.
2025-05-02 03:07:31,772 - freqtrade.resolvers.strategy_resolver - INFO - Override strategy 'stake_amount' with value in config file: 150.
2025-05-02 03:07:31,772 - freqtrade.resolvers.strategy_resolver - INFO - Override strategy 'startup_candle_count' with value in config file: 30.
2025-05-02 03:07:31,772 - 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 03:07:31,773 - freqtrade.resolvers.strategy_resolver - INFO - Override strategy 'max_open_trades' with value in config file: 4.
2025-05-02 03:07:31,773 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using minimal_roi: {}
2025-05-02 03:07:31,773 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using timeframe: 3m
2025-05-02 03:07:31,774 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using stoploss: -0.05
2025-05-02 03:07:31,774 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using trailing_stop: True
2025-05-02 03:07:31,774 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using trailing_stop_positive: 0.01
2025-05-02 03:07:31,775 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using trailing_stop_positive_offset: 0.0
2025-05-02 03:07:31,775 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using trailing_only_offset_is_reached: False
2025-05-02 03:07:31,775 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using use_custom_stoploss: False
2025-05-02 03:07:31,776 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using process_only_new_candles: True
2025-05-02 03:07:31,776 - 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 03:07:31,776 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using order_time_in_force: {'entry': 'GTC', 'exit': 'GTC'}
2025-05-02 03:07:31,777 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using stake_currency: USDT
2025-05-02 03:07:31,777 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using stake_amount: 150
2025-05-02 03:07:31,777 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using startup_candle_count: 30
2025-05-02 03:07:31,778 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using unfilledtimeout: {'entry': 5, 'exit': 15, 'exit_timeout_count': 0, 'unit': 'minutes'}
2025-05-02 03:07:31,778 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using use_exit_signal: True
2025-05-02 03:07:31,778 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using exit_profit_only: False
2025-05-02 03:07:31,779 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using ignore_roi_if_entry_signal: False
2025-05-02 03:07:31,779 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using exit_profit_offset: 0.0
2025-05-02 03:07:31,779 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using disable_dataframe_checks: False
2025-05-02 03:07:31,780 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using ignore_buying_expired_candle_after: 0
2025-05-02 03:07:31,780 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using position_adjustment_enable: False
2025-05-02 03:07:31,780 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using max_entry_position_adjustment: -1
2025-05-02 03:07:31,781 - freqtrade.resolvers.strategy_resolver - INFO - Strategy using max_open_trades: 4
2025-05-02 03:07:31,781 - freqtrade.configuration.config_validation - INFO - Validating configuration ...
2025-05-02 03:07:31,785 - freqtrade.resolvers.iresolver - INFO - Using resolved pairlist StaticPairList from '/freqtrade/freqtrade/plugins/pairlist/StaticPairList.py'...
2025-05-02 03:07:31,791 - freqtrade.optimize.backtesting - INFO - Using fee 0.1500% - worst case fee from exchange (lowest tier).
2025-05-02 03:07:31,792 - freqtrade.data.dataprovider - INFO - Increasing startup_candle_count for freqai on 3m to 14450
2025-05-02 03:07:31,792 - freqtrade.data.history.history_utils - INFO - Using indicator startup period: 14450 ...
2025-05-02 03:07:31,808 - freqtrade.data.history.datahandlers.idatahandler - WARNING - BTC/USDT, spot, 3m, data starts at 2025-02-01 00:00:00
2025-05-02 03:07:31,838 - freqtrade.data.history.datahandlers.idatahandler - WARNING - SOL/USDT, spot, 3m, data starts at 2025-02-01 00:00:00
2025-05-02 03:07:31,855 - 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 03:07:31,856 - freqtrade.optimize.backtesting - INFO - Dataload complete. Calculating indicators
2025-05-02 03:07:31,857 - freqtrade.optimize.backtesting - INFO - Running backtesting for Strategy OKXRegressionStrategy
2025-05-02 03:07:33,402 - matplotlib.font_manager - INFO - generated new fontManager
2025-05-02 03:07:33,619 - freqtrade.resolvers.iresolver - INFO - Using resolved freqaimodel XGBoostRegressor from '/freqtrade/freqtrade/freqai/prediction_models/XGBoostRegressor.py'...
2025-05-02 03:07:33,620 - freqtrade.freqai.data_drawer - INFO - Could not find existing datadrawer, starting from scratch
2025-05-02 03:07:33,620 - freqtrade.freqai.data_drawer - INFO - Could not find existing historic_predictions, starting from scratch
2025-05-02 03:07:33,621 - freqtrade.freqai.freqai_interface - INFO - Set fresh train queue from whitelist. Queue: ['BTC/USDT', 'SOL/USDT']
2025-05-02 03:07:33,621 - freqtrade.strategy.hyper - INFO - No params for buy found, using default values.
2025-05-02 03:07:33,622 - freqtrade.strategy.hyper - INFO - No params for sell found, using default values.
2025-05-02 03:07:33,622 - freqtrade.strategy.hyper - INFO - No params for protection found, using default values.
2025-05-02 03:07:33,627 - freqtrade.freqai.freqai_interface - INFO - Training 5 timeranges
2025-05-02 03:07:33,629 - 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 03:07:33,629 - 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 03:07:41,919 - freqtrade.data.dataprovider - INFO - Increasing startup_candle_count for freqai on 5m to 8690
2025-05-02 03:07:41,920 - 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 03:07:41,929 - freqtrade.data.history.datahandlers.idatahandler - WARNING - BTC/USDT, spot, 5m, data starts at 2025-02-01 00:00:00
2025-05-02 03:07:42,020 - freqtrade.data.dataprovider - INFO - Increasing startup_candle_count for freqai on 1h to 770
2025-05-02 03:07:42,021 - 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 03:07:42,026 - freqtrade.data.history.datahandlers.idatahandler - WARNING - BTC/USDT, spot, 1h, data starts at 2025-02-01 00:00:00
2025-05-02 03:07:42,380 - freqtrade.data.dataprovider - INFO - Increasing startup_candle_count for freqai on 3m to 14450
2025-05-02 03:07:42,381 - 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 03:07:42,390 - freqtrade.data.history.datahandlers.idatahandler - WARNING - ETH/USDT, spot, 3m, data starts at 2025-02-01 00:00:00
2025-05-02 03:07:50,264 - freqtrade.data.dataprovider - INFO - Increasing startup_candle_count for freqai on 5m to 8690
2025-05-02 03:07:50,264 - 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 03:07:50,273 - freqtrade.data.history.datahandlers.idatahandler - WARNING - ETH/USDT, spot, 5m, data starts at 2025-02-01 00:00:00
2025-05-02 03:07:50,429 - freqtrade.data.dataprovider - INFO - Increasing startup_candle_count for freqai on 1h to 770
2025-05-02 03:07:50,429 - 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 03:07:50,434 - freqtrade.data.history.datahandlers.idatahandler - WARNING - ETH/USDT, spot, 1h, data starts at 2025-02-01 00:00:00
/freqtrade/templates/OKXRegressionStrategy.py:154: 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:154: 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 03:07:50,934 - 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 03:07:50,935 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Starting training BTC/USDT --------------------
2025-05-02 03:07:51,030 - freqtrade.freqai.data_kitchen - INFO - BTC/USDT: dropped 0 training points due to NaNs in populated dataset 13440.
2025-05-02 03:07:51,031 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Training on data from 2025-02-01 to 2025-02-28 --------------------
2025-05-02 03:07:51,087 - 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 03:07:51,122 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - Training model on 421 features
2025-05-02 03:07:51,122 - 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: [03:07:51] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
warnings.warn(smsg, UserWarning)
[0] validation_0-rmse:0.58041 validation_1-rmse:0.58139
[1] validation_0-rmse:0.55199 validation_1-rmse:0.55294
[2] validation_0-rmse:0.52502 validation_1-rmse:0.52596
[3] validation_0-rmse:0.49943 validation_1-rmse:0.50032
[4] validation_0-rmse:0.47513 validation_1-rmse:0.47599
[5] validation_0-rmse:0.45207 validation_1-rmse:0.45289
[6] validation_0-rmse:0.43019 validation_1-rmse:0.43097
[7] validation_0-rmse:0.40945 validation_1-rmse:0.41019
[8] validation_0-rmse:0.38975 validation_1-rmse:0.39049
[9] validation_0-rmse:0.37109 validation_1-rmse:0.37178
[10] validation_0-rmse:0.35339 validation_1-rmse:0.35405
[11] validation_0-rmse:0.33662 validation_1-rmse:0.33724
[12] validation_0-rmse:0.32072 validation_1-rmse:0.32132
[13] validation_0-rmse:0.30566 validation_1-rmse:0.30620
[14] validation_0-rmse:0.29138 validation_1-rmse:0.29191
[15] validation_0-rmse:0.27784 validation_1-rmse:0.27835
[16] validation_0-rmse:0.26503 validation_1-rmse:0.26552
[17] validation_0-rmse:0.25290 validation_1-rmse:0.25336
[18] validation_0-rmse:0.24144 validation_1-rmse:0.24184
[19] validation_0-rmse:0.23057 validation_1-rmse:0.23092
[20] validation_0-rmse:0.22033 validation_1-rmse:0.22061
[21] validation_0-rmse:0.21064 validation_1-rmse:0.21090
[22] validation_0-rmse:0.20145 validation_1-rmse:0.20164
[23] validation_0-rmse:0.19283 validation_1-rmse:0.19296
[24] validation_0-rmse:0.18468 validation_1-rmse:0.18478
[25] validation_0-rmse:0.17698 validation_1-rmse:0.17699
[26] validation_0-rmse:0.16976 validation_1-rmse:0.16971
[27] validation_0-rmse:0.16294 validation_1-rmse:0.16282
[28] validation_0-rmse:0.15647 validation_1-rmse:0.15627
[29] validation_0-rmse:0.15042 validation_1-rmse:0.15015
[30] validation_0-rmse:0.14471 validation_1-rmse:0.14436
[31] validation_0-rmse:0.13936 validation_1-rmse:0.13895
[32] validation_0-rmse:0.13434 validation_1-rmse:0.13384
[33] validation_0-rmse:0.12963 validation_1-rmse:0.12905
[34] validation_0-rmse:0.12523 validation_1-rmse:0.12455
[35] validation_0-rmse:0.12111 validation_1-rmse:0.12034
[36] validation_0-rmse:0.11725 validation_1-rmse:0.11635
[37] validation_0-rmse:0.11363 validation_1-rmse:0.11262
[38] validation_0-rmse:0.11024 validation_1-rmse:0.10913
[39] validation_0-rmse:0.10714 validation_1-rmse:0.10594
[40] validation_0-rmse:0.10421 validation_1-rmse:0.10294
[41] validation_0-rmse:0.10146 validation_1-rmse:0.10011
[42] validation_0-rmse:0.09891 validation_1-rmse:0.09746
[43] validation_0-rmse:0.09654 validation_1-rmse:0.09496
[44] validation_0-rmse:0.09435 validation_1-rmse:0.09264
[45] validation_0-rmse:0.09233 validation_1-rmse:0.09055
[46] validation_0-rmse:0.09042 validation_1-rmse:0.08854
[47] validation_0-rmse:0.08868 validation_1-rmse:0.08670
[48] validation_0-rmse:0.08699 validation_1-rmse:0.08487
[49] validation_0-rmse:0.08546 validation_1-rmse:0.08326
[50] validation_0-rmse:0.08404 validation_1-rmse:0.08175
[51] validation_0-rmse:0.08279 validation_1-rmse:0.08036
[52] validation_0-rmse:0.08163 validation_1-rmse:0.07910
[53] validation_0-rmse:0.08049 validation_1-rmse:0.07786
[54] validation_0-rmse:0.07944 validation_1-rmse:0.07671
[55] validation_0-rmse:0.07854 validation_1-rmse:0.07566
[56] validation_0-rmse:0.07768 validation_1-rmse:0.07471
[57] validation_0-rmse:0.07687 validation_1-rmse:0.07383
[58] validation_0-rmse:0.07610 validation_1-rmse:0.07297
[59] validation_0-rmse:0.07539 validation_1-rmse:0.07216
[60] validation_0-rmse:0.07468 validation_1-rmse:0.07135
[61] validation_0-rmse:0.07409 validation_1-rmse:0.07064
[62] validation_0-rmse:0.07350 validation_1-rmse:0.06991
[63] validation_0-rmse:0.07296 validation_1-rmse:0.06924
[64] validation_0-rmse:0.07249 validation_1-rmse:0.06867
[65] validation_0-rmse:0.07204 validation_1-rmse:0.06812
[66] validation_0-rmse:0.07160 validation_1-rmse:0.06757
[67] validation_0-rmse:0.07123 validation_1-rmse:0.06714
[68] validation_0-rmse:0.07078 validation_1-rmse:0.06663
[69] validation_0-rmse:0.07044 validation_1-rmse:0.06620
[70] validation_0-rmse:0.07016 validation_1-rmse:0.06583
[71] validation_0-rmse:0.06989 validation_1-rmse:0.06545
[72] validation_0-rmse:0.06959 validation_1-rmse:0.06512
[73] validation_0-rmse:0.06933 validation_1-rmse:0.06479
[74] validation_0-rmse:0.06912 validation_1-rmse:0.06449
[75] validation_0-rmse:0.06886 validation_1-rmse:0.06415
[76] validation_0-rmse:0.06865 validation_1-rmse:0.06384
[77] validation_0-rmse:0.06846 validation_1-rmse:0.06356
[78] validation_0-rmse:0.06830 validation_1-rmse:0.06327
[79] validation_0-rmse:0.06812 validation_1-rmse:0.06300
[80] validation_0-rmse:0.06795 validation_1-rmse:0.06274
[81] validation_0-rmse:0.06774 validation_1-rmse:0.06245
[82] validation_0-rmse:0.06756 validation_1-rmse:0.06222
[83] validation_0-rmse:0.06735 validation_1-rmse:0.06194
[84] validation_0-rmse:0.06715 validation_1-rmse:0.06165
[85] validation_0-rmse:0.06702 validation_1-rmse:0.06145
[86] validation_0-rmse:0.06684 validation_1-rmse:0.06123
[87] validation_0-rmse:0.06670 validation_1-rmse:0.06101
[88] validation_0-rmse:0.06655 validation_1-rmse:0.06078
[89] validation_0-rmse:0.06643 validation_1-rmse:0.06060
[90] validation_0-rmse:0.06627 validation_1-rmse:0.06038
[91] validation_0-rmse:0.06609 validation_1-rmse:0.06015
[92] validation_0-rmse:0.06597 validation_1-rmse:0.05996
[93] validation_0-rmse:0.06584 validation_1-rmse:0.05972
[94] validation_0-rmse:0.06571 validation_1-rmse:0.05949
[95] validation_0-rmse:0.06562 validation_1-rmse:0.05935
[96] validation_0-rmse:0.06552 validation_1-rmse:0.05919
[97] validation_0-rmse:0.06541 validation_1-rmse:0.05899
[98] validation_0-rmse:0.06529 validation_1-rmse:0.05879
[99] validation_0-rmse:0.06515 validation_1-rmse:0.05858
[100] validation_0-rmse:0.06501 validation_1-rmse:0.05834
[101] validation_0-rmse:0.06491 validation_1-rmse:0.05819
[102] validation_0-rmse:0.06480 validation_1-rmse:0.05803
[103] validation_0-rmse:0.06471 validation_1-rmse:0.05788
[104] validation_0-rmse:0.06456 validation_1-rmse:0.05767
[105] validation_0-rmse:0.06445 validation_1-rmse:0.05749
[106] validation_0-rmse:0.06433 validation_1-rmse:0.05728
[107] validation_0-rmse:0.06425 validation_1-rmse:0.05714
[108] validation_0-rmse:0.06416 validation_1-rmse:0.05698
[109] validation_0-rmse:0.06405 validation_1-rmse:0.05683
[110] validation_0-rmse:0.06395 validation_1-rmse:0.05666
[111] validation_0-rmse:0.06388 validation_1-rmse:0.05648
[112] validation_0-rmse:0.06382 validation_1-rmse:0.05635
[113] validation_0-rmse:0.06374 validation_1-rmse:0.05619
[114] validation_0-rmse:0.06367 validation_1-rmse:0.05607
[115] validation_0-rmse:0.06357 validation_1-rmse:0.05592
[116] validation_0-rmse:0.06348 validation_1-rmse:0.05576
[117] validation_0-rmse:0.06337 validation_1-rmse:0.05559
[118] validation_0-rmse:0.06329 validation_1-rmse:0.05542
[119] validation_0-rmse:0.06322 validation_1-rmse:0.05529
[120] validation_0-rmse:0.06310 validation_1-rmse:0.05511
[121] validation_0-rmse:0.06303 validation_1-rmse:0.05495
[122] validation_0-rmse:0.06296 validation_1-rmse:0.05481
[123] validation_0-rmse:0.06287 validation_1-rmse:0.05465
[124] validation_0-rmse:0.06280 validation_1-rmse:0.05453
[125] validation_0-rmse:0.06272 validation_1-rmse:0.05441
[126] validation_0-rmse:0.06262 validation_1-rmse:0.05426
[127] validation_0-rmse:0.06255 validation_1-rmse:0.05413
[128] validation_0-rmse:0.06247 validation_1-rmse:0.05399
[129] validation_0-rmse:0.06238 validation_1-rmse:0.05384
[130] validation_0-rmse:0.06228 validation_1-rmse:0.05369
[131] validation_0-rmse:0.06219 validation_1-rmse:0.05354
[132] validation_0-rmse:0.06212 validation_1-rmse:0.05340
[133] validation_0-rmse:0.06205 validation_1-rmse:0.05323
[134] validation_0-rmse:0.06194 validation_1-rmse:0.05309
[135] validation_0-rmse:0.06183 validation_1-rmse:0.05293
[136] validation_0-rmse:0.06176 validation_1-rmse:0.05280
[137] validation_0-rmse:0.06166 validation_1-rmse:0.05267
[138] validation_0-rmse:0.06156 validation_1-rmse:0.05251
[139] validation_0-rmse:0.06147 validation_1-rmse:0.05237
[140] validation_0-rmse:0.06139 validation_1-rmse:0.05222
[141] validation_0-rmse:0.06129 validation_1-rmse:0.05209
[142] validation_0-rmse:0.06117 validation_1-rmse:0.05194
[143] validation_0-rmse:0.06111 validation_1-rmse:0.05180
[144] validation_0-rmse:0.06105 validation_1-rmse:0.05166
[145] validation_0-rmse:0.06096 validation_1-rmse:0.05153
[146] validation_0-rmse:0.06087 validation_1-rmse:0.05139
[147] validation_0-rmse:0.06081 validation_1-rmse:0.05129
[148] validation_0-rmse:0.06077 validation_1-rmse:0.05117
[149] validation_0-rmse:0.06067 validation_1-rmse:0.05103
[150] validation_0-rmse:0.06059 validation_1-rmse:0.05090
[151] validation_0-rmse:0.06048 validation_1-rmse:0.05076
[152] validation_0-rmse:0.06045 validation_1-rmse:0.05065
[153] validation_0-rmse:0.06039 validation_1-rmse:0.05054
[154] validation_0-rmse:0.06033 validation_1-rmse:0.05043
[155] validation_0-rmse:0.06025 validation_1-rmse:0.05031
[156] validation_0-rmse:0.06019 validation_1-rmse:0.05021
[157] validation_0-rmse:0.06012 validation_1-rmse:0.05010
[158] validation_0-rmse:0.06004 validation_1-rmse:0.04997
[159] validation_0-rmse:0.05997 validation_1-rmse:0.04986
[160] validation_0-rmse:0.05989 validation_1-rmse:0.04974
[161] validation_0-rmse:0.05977 validation_1-rmse:0.04957
[162] validation_0-rmse:0.05971 validation_1-rmse:0.04945
[163] validation_0-rmse:0.05967 validation_1-rmse:0.04938
[164] validation_0-rmse:0.05961 validation_1-rmse:0.04928
[165] validation_0-rmse:0.05955 validation_1-rmse:0.04915
[166] validation_0-rmse:0.05948 validation_1-rmse:0.04904
[167] validation_0-rmse:0.05944 validation_1-rmse:0.04895
[168] validation_0-rmse:0.05939 validation_1-rmse:0.04884
[169] validation_0-rmse:0.05932 validation_1-rmse:0.04873
[170] validation_0-rmse:0.05925 validation_1-rmse:0.04861
[171] validation_0-rmse:0.05919 validation_1-rmse:0.04852
[172] validation_0-rmse:0.05910 validation_1-rmse:0.04841
[173] validation_0-rmse:0.05904 validation_1-rmse:0.04831
[174] validation_0-rmse:0.05897 validation_1-rmse:0.04819
[175] validation_0-rmse:0.05892 validation_1-rmse:0.04811
[176] validation_0-rmse:0.05887 validation_1-rmse:0.04802
[177] validation_0-rmse:0.05879 validation_1-rmse:0.04791
[178] validation_0-rmse:0.05873 validation_1-rmse:0.04780
[179] validation_0-rmse:0.05868 validation_1-rmse:0.04773
[180] validation_0-rmse:0.05861 validation_1-rmse:0.04762
[181] validation_0-rmse:0.05856 validation_1-rmse:0.04752
[182] validation_0-rmse:0.05851 validation_1-rmse:0.04742
[183] validation_0-rmse:0.05844 validation_1-rmse:0.04731
[184] validation_0-rmse:0.05840 validation_1-rmse:0.04721
[185] validation_0-rmse:0.05833 validation_1-rmse:0.04711
[186] validation_0-rmse:0.05826 validation_1-rmse:0.04699
[187] validation_0-rmse:0.05821 validation_1-rmse:0.04691
[188] validation_0-rmse:0.05814 validation_1-rmse:0.04681
[189] validation_0-rmse:0.05810 validation_1-rmse:0.04673
[190] validation_0-rmse:0.05804 validation_1-rmse:0.04664
[191] validation_0-rmse:0.05797 validation_1-rmse:0.04652
[192] validation_0-rmse:0.05792 validation_1-rmse:0.04642
[193] validation_0-rmse:0.05787 validation_1-rmse:0.04632
[194] validation_0-rmse:0.05781 validation_1-rmse:0.04619
[195] validation_0-rmse:0.05777 validation_1-rmse:0.04611
[196] validation_0-rmse:0.05769 validation_1-rmse:0.04599
[197] validation_0-rmse:0.05763 validation_1-rmse:0.04589
[198] validation_0-rmse:0.05755 validation_1-rmse:0.04577
[199] validation_0-rmse:0.05750 validation_1-rmse:0.04569
2025-05-02 03:08:26,335 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Done training BTC/USDT (35.40 secs) --------------------
/home/ftuser/.local/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning:
[03:08:26] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
2025-05-02 03:08:26,544 - 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 03:08:26,545 - freqtrade.freqai.freqai_interface - INFO - Saving metadata to disk.
2025-05-02 03:08:26,650 - datasieve.pipeline - WARNING - Could not find step di in pipeline, returning None
2025-05-02 03:08:26,665 - 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 03:08:26,666 - 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:154: 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:154: FutureWarning:
DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.
2025-05-02 03:08:27,143 - 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 03:08:27,144 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Starting training BTC/USDT --------------------
2025-05-02 03:08:27,250 - freqtrade.freqai.data_kitchen - INFO - BTC/USDT: dropped 0 training points due to NaNs in populated dataset 14400.
2025-05-02 03:08:27,251 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Training on data from 2025-02-09 to 2025-03-10 --------------------
2025-05-02 03:08:27,313 - 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 03:08:27,351 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - Training model on 361 features
2025-05-02 03:08:27,352 - 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:
[03:08:27] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
[0] validation_0-rmse:0.51936 validation_1-rmse:0.51877
[1] validation_0-rmse:0.49393 validation_1-rmse:0.49336
[2] validation_0-rmse:0.46982 validation_1-rmse:0.46925
[3] validation_0-rmse:0.44691 validation_1-rmse:0.44634
[4] validation_0-rmse:0.42516 validation_1-rmse:0.42461
[5] validation_0-rmse:0.40453 validation_1-rmse:0.40397
[6] validation_0-rmse:0.38497 validation_1-rmse:0.38441
[7] validation_0-rmse:0.36640 validation_1-rmse:0.36584
[8] validation_0-rmse:0.34880 validation_1-rmse:0.34823
[9] validation_0-rmse:0.33211 validation_1-rmse:0.33154
[10] validation_0-rmse:0.31627 validation_1-rmse:0.31571
[11] validation_0-rmse:0.30126 validation_1-rmse:0.30070
[12] validation_0-rmse:0.28701 validation_1-rmse:0.28645
[13] validation_0-rmse:0.27353 validation_1-rmse:0.27295
[14] validation_0-rmse:0.26072 validation_1-rmse:0.26014
[15] validation_0-rmse:0.24860 validation_1-rmse:0.24801
[16] validation_0-rmse:0.23711 validation_1-rmse:0.23651
[17] validation_0-rmse:0.22622 validation_1-rmse:0.22561
[18] validation_0-rmse:0.21594 validation_1-rmse:0.21533
[19] validation_0-rmse:0.20620 validation_1-rmse:0.20559
[20] validation_0-rmse:0.19699 validation_1-rmse:0.19637
[21] validation_0-rmse:0.18826 validation_1-rmse:0.18764
[22] validation_0-rmse:0.18002 validation_1-rmse:0.17940
[23] validation_0-rmse:0.17226 validation_1-rmse:0.17162
[24] validation_0-rmse:0.16491 validation_1-rmse:0.16427
[25] validation_0-rmse:0.15798 validation_1-rmse:0.15734
[26] validation_0-rmse:0.15144 validation_1-rmse:0.15078
[27] validation_0-rmse:0.14527 validation_1-rmse:0.14460
[28] validation_0-rmse:0.13946 validation_1-rmse:0.13877
[29] validation_0-rmse:0.13396 validation_1-rmse:0.13326
[30] validation_0-rmse:0.12880 validation_1-rmse:0.12809
[31] validation_0-rmse:0.12397 validation_1-rmse:0.12324
[32] validation_0-rmse:0.11938 validation_1-rmse:0.11864
[33] validation_0-rmse:0.11510 validation_1-rmse:0.11433
[34] validation_0-rmse:0.11108 validation_1-rmse:0.11030
[35] validation_0-rmse:0.10732 validation_1-rmse:0.10651
[36] validation_0-rmse:0.10376 validation_1-rmse:0.10293
[37] validation_0-rmse:0.10046 validation_1-rmse:0.09960
[38] validation_0-rmse:0.09737 validation_1-rmse:0.09648
[39] validation_0-rmse:0.09443 validation_1-rmse:0.09352
[40] validation_0-rmse:0.09175 validation_1-rmse:0.09079
[41] validation_0-rmse:0.08926 validation_1-rmse:0.08826
[42] validation_0-rmse:0.08692 validation_1-rmse:0.08589
[43] validation_0-rmse:0.08465 validation_1-rmse:0.08358
[44] validation_0-rmse:0.08265 validation_1-rmse:0.08153
[45] validation_0-rmse:0.08073 validation_1-rmse:0.07957
[46] validation_0-rmse:0.07900 validation_1-rmse:0.07779
[47] validation_0-rmse:0.07733 validation_1-rmse:0.07609
[48] validation_0-rmse:0.07581 validation_1-rmse:0.07452
[49] validation_0-rmse:0.07434 validation_1-rmse:0.07300
[50] validation_0-rmse:0.07308 validation_1-rmse:0.07170
[51] validation_0-rmse:0.07182 validation_1-rmse:0.07040
[52] validation_0-rmse:0.07067 validation_1-rmse:0.06922
[53] validation_0-rmse:0.06963 validation_1-rmse:0.06810
[54] validation_0-rmse:0.06864 validation_1-rmse:0.06705
[55] validation_0-rmse:0.06776 validation_1-rmse:0.06614
[56] validation_0-rmse:0.06693 validation_1-rmse:0.06522
[57] validation_0-rmse:0.06613 validation_1-rmse:0.06436
[58] validation_0-rmse:0.06535 validation_1-rmse:0.06351
[59] validation_0-rmse:0.06470 validation_1-rmse:0.06278
[60] validation_0-rmse:0.06409 validation_1-rmse:0.06211
[61] validation_0-rmse:0.06351 validation_1-rmse:0.06145
[62] validation_0-rmse:0.06298 validation_1-rmse:0.06087
[63] validation_0-rmse:0.06248 validation_1-rmse:0.06033
[64] validation_0-rmse:0.06205 validation_1-rmse:0.05986
[65] validation_0-rmse:0.06164 validation_1-rmse:0.05937
[66] validation_0-rmse:0.06125 validation_1-rmse:0.05894
[67] validation_0-rmse:0.06091 validation_1-rmse:0.05853
[68] validation_0-rmse:0.06053 validation_1-rmse:0.05806
[69] validation_0-rmse:0.06017 validation_1-rmse:0.05766
[70] validation_0-rmse:0.05988 validation_1-rmse:0.05733
[71] validation_0-rmse:0.05960 validation_1-rmse:0.05700
[72] validation_0-rmse:0.05931 validation_1-rmse:0.05665
[73] validation_0-rmse:0.05904 validation_1-rmse:0.05632
[74] validation_0-rmse:0.05879 validation_1-rmse:0.05600
[75] validation_0-rmse:0.05852 validation_1-rmse:0.05568
[76] validation_0-rmse:0.05824 validation_1-rmse:0.05533
[77] validation_0-rmse:0.05801 validation_1-rmse:0.05503
[78] validation_0-rmse:0.05780 validation_1-rmse:0.05477
[79] validation_0-rmse:0.05765 validation_1-rmse:0.05455
[80] validation_0-rmse:0.05746 validation_1-rmse:0.05429
[81] validation_0-rmse:0.05728 validation_1-rmse:0.05409
[82] validation_0-rmse:0.05713 validation_1-rmse:0.05388
[83] validation_0-rmse:0.05695 validation_1-rmse:0.05367
[84] validation_0-rmse:0.05677 validation_1-rmse:0.05345
[85] validation_0-rmse:0.05660 validation_1-rmse:0.05323
[86] validation_0-rmse:0.05647 validation_1-rmse:0.05303
[87] validation_0-rmse:0.05634 validation_1-rmse:0.05287
[88] validation_0-rmse:0.05614 validation_1-rmse:0.05264
[89] validation_0-rmse:0.05603 validation_1-rmse:0.05246
[90] validation_0-rmse:0.05593 validation_1-rmse:0.05231
[91] validation_0-rmse:0.05576 validation_1-rmse:0.05214
[92] validation_0-rmse:0.05566 validation_1-rmse:0.05199
[93] validation_0-rmse:0.05553 validation_1-rmse:0.05180
[94] validation_0-rmse:0.05541 validation_1-rmse:0.05159
[95] validation_0-rmse:0.05528 validation_1-rmse:0.05140
[96] validation_0-rmse:0.05517 validation_1-rmse:0.05123
[97] validation_0-rmse:0.05505 validation_1-rmse:0.05103
[98] validation_0-rmse:0.05494 validation_1-rmse:0.05089
[99] validation_0-rmse:0.05485 validation_1-rmse:0.05074
[100] validation_0-rmse:0.05474 validation_1-rmse:0.05057
[101] validation_0-rmse:0.05465 validation_1-rmse:0.05045
[102] validation_0-rmse:0.05458 validation_1-rmse:0.05033
[103] validation_0-rmse:0.05444 validation_1-rmse:0.05018
[104] validation_0-rmse:0.05437 validation_1-rmse:0.05007
[105] validation_0-rmse:0.05423 validation_1-rmse:0.04989
[106] validation_0-rmse:0.05414 validation_1-rmse:0.04972
[107] validation_0-rmse:0.05407 validation_1-rmse:0.04961
[108] validation_0-rmse:0.05398 validation_1-rmse:0.04946
[109] validation_0-rmse:0.05391 validation_1-rmse:0.04934
[110] validation_0-rmse:0.05381 validation_1-rmse:0.04921
[111] validation_0-rmse:0.05374 validation_1-rmse:0.04910
[112] validation_0-rmse:0.05366 validation_1-rmse:0.04896
[113] validation_0-rmse:0.05357 validation_1-rmse:0.04881
[114] validation_0-rmse:0.05351 validation_1-rmse:0.04873
[115] validation_0-rmse:0.05342 validation_1-rmse:0.04858
[116] validation_0-rmse:0.05333 validation_1-rmse:0.04847
[117] validation_0-rmse:0.05325 validation_1-rmse:0.04834
[118] validation_0-rmse:0.05317 validation_1-rmse:0.04820
[119] validation_0-rmse:0.05310 validation_1-rmse:0.04807
[120] validation_0-rmse:0.05300 validation_1-rmse:0.04794
[121] validation_0-rmse:0.05292 validation_1-rmse:0.04784
[122] validation_0-rmse:0.05285 validation_1-rmse:0.04771
[123] validation_0-rmse:0.05278 validation_1-rmse:0.04761
[124] validation_0-rmse:0.05272 validation_1-rmse:0.04752
[125] validation_0-rmse:0.05263 validation_1-rmse:0.04738
[126] validation_0-rmse:0.05251 validation_1-rmse:0.04722
[127] validation_0-rmse:0.05243 validation_1-rmse:0.04710
[128] validation_0-rmse:0.05238 validation_1-rmse:0.04699
[129] validation_0-rmse:0.05231 validation_1-rmse:0.04688
[130] validation_0-rmse:0.05225 validation_1-rmse:0.04676
[131] validation_0-rmse:0.05217 validation_1-rmse:0.04664
[132] validation_0-rmse:0.05211 validation_1-rmse:0.04654
[133] validation_0-rmse:0.05202 validation_1-rmse:0.04640
[134] validation_0-rmse:0.05196 validation_1-rmse:0.04630
[135] validation_0-rmse:0.05191 validation_1-rmse:0.04619
[136] validation_0-rmse:0.05185 validation_1-rmse:0.04608
[137] validation_0-rmse:0.05173 validation_1-rmse:0.04593
[138] validation_0-rmse:0.05167 validation_1-rmse:0.04582
[139] validation_0-rmse:0.05157 validation_1-rmse:0.04568
[140] validation_0-rmse:0.05148 validation_1-rmse:0.04555
[141] validation_0-rmse:0.05139 validation_1-rmse:0.04542
[142] validation_0-rmse:0.05132 validation_1-rmse:0.04529
[143] validation_0-rmse:0.05125 validation_1-rmse:0.04518
[144] validation_0-rmse:0.05117 validation_1-rmse:0.04506
[145] validation_0-rmse:0.05111 validation_1-rmse:0.04495
[146] validation_0-rmse:0.05105 validation_1-rmse:0.04486
[147] validation_0-rmse:0.05101 validation_1-rmse:0.04478
[148] validation_0-rmse:0.05092 validation_1-rmse:0.04465
[149] validation_0-rmse:0.05088 validation_1-rmse:0.04458
[150] validation_0-rmse:0.05077 validation_1-rmse:0.04444
[151] validation_0-rmse:0.05072 validation_1-rmse:0.04436
[152] validation_0-rmse:0.05067 validation_1-rmse:0.04424
[153] validation_0-rmse:0.05059 validation_1-rmse:0.04410
[154] validation_0-rmse:0.05051 validation_1-rmse:0.04400
[155] validation_0-rmse:0.05042 validation_1-rmse:0.04385
[156] validation_0-rmse:0.05038 validation_1-rmse:0.04378
[157] validation_0-rmse:0.05033 validation_1-rmse:0.04368
[158] validation_0-rmse:0.05028 validation_1-rmse:0.04358
[159] validation_0-rmse:0.05022 validation_1-rmse:0.04349
[160] validation_0-rmse:0.05009 validation_1-rmse:0.04335
[161] validation_0-rmse:0.05002 validation_1-rmse:0.04325
[162] validation_0-rmse:0.04996 validation_1-rmse:0.04316
[163] validation_0-rmse:0.04989 validation_1-rmse:0.04304
[164] validation_0-rmse:0.04983 validation_1-rmse:0.04295
[165] validation_0-rmse:0.04977 validation_1-rmse:0.04285
[166] validation_0-rmse:0.04971 validation_1-rmse:0.04273
[167] validation_0-rmse:0.04967 validation_1-rmse:0.04265
[168] validation_0-rmse:0.04962 validation_1-rmse:0.04255
[169] validation_0-rmse:0.04956 validation_1-rmse:0.04247
[170] validation_0-rmse:0.04949 validation_1-rmse:0.04238
[171] validation_0-rmse:0.04944 validation_1-rmse:0.04229
[172] validation_0-rmse:0.04939 validation_1-rmse:0.04218
[173] validation_0-rmse:0.04934 validation_1-rmse:0.04209
[174] validation_0-rmse:0.04927 validation_1-rmse:0.04197
[175] validation_0-rmse:0.04921 validation_1-rmse:0.04186
[176] validation_0-rmse:0.04913 validation_1-rmse:0.04175
[177] validation_0-rmse:0.04910 validation_1-rmse:0.04168
[178] validation_0-rmse:0.04905 validation_1-rmse:0.04157
[179] validation_0-rmse:0.04899 validation_1-rmse:0.04149
[180] validation_0-rmse:0.04892 validation_1-rmse:0.04139
[181] validation_0-rmse:0.04885 validation_1-rmse:0.04128
[182] validation_0-rmse:0.04879 validation_1-rmse:0.04118
[183] validation_0-rmse:0.04872 validation_1-rmse:0.04106
[184] validation_0-rmse:0.04867 validation_1-rmse:0.04097
[185] validation_0-rmse:0.04862 validation_1-rmse:0.04089
[186] validation_0-rmse:0.04854 validation_1-rmse:0.04076
[187] validation_0-rmse:0.04849 validation_1-rmse:0.04068
[188] validation_0-rmse:0.04844 validation_1-rmse:0.04059
[189] validation_0-rmse:0.04838 validation_1-rmse:0.04049
[190] validation_0-rmse:0.04833 validation_1-rmse:0.04042
[191] validation_0-rmse:0.04828 validation_1-rmse:0.04034
[192] validation_0-rmse:0.04819 validation_1-rmse:0.04026
[193] validation_0-rmse:0.04812 validation_1-rmse:0.04017
[194] validation_0-rmse:0.04805 validation_1-rmse:0.04007
[195] validation_0-rmse:0.04799 validation_1-rmse:0.03997
[196] validation_0-rmse:0.04793 validation_1-rmse:0.03988
[197] validation_0-rmse:0.04789 validation_1-rmse:0.03980
[198] validation_0-rmse:0.04781 validation_1-rmse:0.03970
[199] validation_0-rmse:0.04777 validation_1-rmse:0.03962
2025-05-02 03:09:04,172 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Done training BTC/USDT (37.03 secs) --------------------
/home/ftuser/.local/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning:
[03:09:04] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
2025-05-02 03:09:04,214 - 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 03:09:04,215 - freqtrade.freqai.freqai_interface - INFO - Saving metadata to disk.
2025-05-02 03:09:04,319 - datasieve.pipeline - WARNING - Could not find step di in pipeline, returning None
2025-05-02 03:09:04,335 - 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 03:09:04,336 - 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:154: 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:154: FutureWarning:
DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.
2025-05-02 03:09:04,900 - 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 03:09:04,900 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Starting training BTC/USDT --------------------
2025-05-02 03:09:05,008 - freqtrade.freqai.data_kitchen - INFO - BTC/USDT: dropped 0 training points due to NaNs in populated dataset 14400.
2025-05-02 03:09:05,009 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Training on data from 2025-02-19 to 2025-03-20 --------------------
2025-05-02 03:09:05,066 - 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 03:09:05,097 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - Training model on 361 features
2025-05-02 03:09:05,098 - 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:
[03:09:05] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
[0] validation_0-rmse:0.50315 validation_1-rmse:0.50413
[1] validation_0-rmse:0.47851 validation_1-rmse:0.47946
[2] validation_0-rmse:0.45514 validation_1-rmse:0.45606
[3] validation_0-rmse:0.43294 validation_1-rmse:0.43383
[4] validation_0-rmse:0.41188 validation_1-rmse:0.41273
[5] validation_0-rmse:0.39188 validation_1-rmse:0.39271
[6] validation_0-rmse:0.37290 validation_1-rmse:0.37371
[7] validation_0-rmse:0.35489 validation_1-rmse:0.35566
[8] validation_0-rmse:0.33785 validation_1-rmse:0.33858
[9] validation_0-rmse:0.32169 validation_1-rmse:0.32238
[10] validation_0-rmse:0.30633 validation_1-rmse:0.30698
[11] validation_0-rmse:0.29180 validation_1-rmse:0.29240
[12] validation_0-rmse:0.27803 validation_1-rmse:0.27858
[13] validation_0-rmse:0.26497 validation_1-rmse:0.26546
[14] validation_0-rmse:0.25257 validation_1-rmse:0.25303
[15] validation_0-rmse:0.24084 validation_1-rmse:0.24127
[16] validation_0-rmse:0.22974 validation_1-rmse:0.23013
[17] validation_0-rmse:0.21924 validation_1-rmse:0.21957
[18] validation_0-rmse:0.20928 validation_1-rmse:0.20957
[19] validation_0-rmse:0.19985 validation_1-rmse:0.20009
[20] validation_0-rmse:0.19095 validation_1-rmse:0.19115
[21] validation_0-rmse:0.18253 validation_1-rmse:0.18268
[22] validation_0-rmse:0.17459 validation_1-rmse:0.17467
[23] validation_0-rmse:0.16706 validation_1-rmse:0.16710
[24] validation_0-rmse:0.16000 validation_1-rmse:0.15997
[25] validation_0-rmse:0.15330 validation_1-rmse:0.15321
[26] validation_0-rmse:0.14700 validation_1-rmse:0.14685
[27] validation_0-rmse:0.14110 validation_1-rmse:0.14088
[28] validation_0-rmse:0.13551 validation_1-rmse:0.13523
[29] validation_0-rmse:0.13027 validation_1-rmse:0.12994
[30] validation_0-rmse:0.12535 validation_1-rmse:0.12493
[31] validation_0-rmse:0.12071 validation_1-rmse:0.12021
[32] validation_0-rmse:0.11636 validation_1-rmse:0.11577
[33] validation_0-rmse:0.11229 validation_1-rmse:0.11160
[34] validation_0-rmse:0.10849 validation_1-rmse:0.10771
[35] validation_0-rmse:0.10488 validation_1-rmse:0.10402
[36] validation_0-rmse:0.10155 validation_1-rmse:0.10059
[37] validation_0-rmse:0.09841 validation_1-rmse:0.09734
[38] validation_0-rmse:0.09548 validation_1-rmse:0.09433
[39] validation_0-rmse:0.09276 validation_1-rmse:0.09149
[40] validation_0-rmse:0.09021 validation_1-rmse:0.08885
[41] validation_0-rmse:0.08782 validation_1-rmse:0.08635
[42] validation_0-rmse:0.08562 validation_1-rmse:0.08404
[43] validation_0-rmse:0.08359 validation_1-rmse:0.08192
[44] validation_0-rmse:0.08167 validation_1-rmse:0.07992
[45] validation_0-rmse:0.07979 validation_1-rmse:0.07796
[46] validation_0-rmse:0.07809 validation_1-rmse:0.07616
[47] validation_0-rmse:0.07657 validation_1-rmse:0.07452
[48] validation_0-rmse:0.07517 validation_1-rmse:0.07304
[49] validation_0-rmse:0.07384 validation_1-rmse:0.07162
[50] validation_0-rmse:0.07261 validation_1-rmse:0.07031
[51] validation_0-rmse:0.07150 validation_1-rmse:0.06913
[52] validation_0-rmse:0.07044 validation_1-rmse:0.06796
[53] validation_0-rmse:0.06944 validation_1-rmse:0.06687
[54] validation_0-rmse:0.06853 validation_1-rmse:0.06588
[55] validation_0-rmse:0.06773 validation_1-rmse:0.06498
[56] validation_0-rmse:0.06698 validation_1-rmse:0.06413
[57] validation_0-rmse:0.06623 validation_1-rmse:0.06329
[58] validation_0-rmse:0.06557 validation_1-rmse:0.06256
[59] validation_0-rmse:0.06492 validation_1-rmse:0.06184
[60] validation_0-rmse:0.06437 validation_1-rmse:0.06121
[61] validation_0-rmse:0.06383 validation_1-rmse:0.06055
[62] validation_0-rmse:0.06336 validation_1-rmse:0.05999
[63] validation_0-rmse:0.06290 validation_1-rmse:0.05943
[64] validation_0-rmse:0.06246 validation_1-rmse:0.05893
[65] validation_0-rmse:0.06211 validation_1-rmse:0.05847
[66] validation_0-rmse:0.06170 validation_1-rmse:0.05800
[67] validation_0-rmse:0.06136 validation_1-rmse:0.05755
[68] validation_0-rmse:0.06106 validation_1-rmse:0.05717
[69] validation_0-rmse:0.06072 validation_1-rmse:0.05675
[70] validation_0-rmse:0.06042 validation_1-rmse:0.05637
[71] validation_0-rmse:0.06013 validation_1-rmse:0.05600
[72] validation_0-rmse:0.05984 validation_1-rmse:0.05565
[73] validation_0-rmse:0.05955 validation_1-rmse:0.05530
[74] validation_0-rmse:0.05934 validation_1-rmse:0.05503
[75] validation_0-rmse:0.05915 validation_1-rmse:0.05476
[76] validation_0-rmse:0.05890 validation_1-rmse:0.05445
[77] validation_0-rmse:0.05873 validation_1-rmse:0.05417
[78] validation_0-rmse:0.05854 validation_1-rmse:0.05390
[79] validation_0-rmse:0.05829 validation_1-rmse:0.05364
[80] validation_0-rmse:0.05815 validation_1-rmse:0.05344
[81] validation_0-rmse:0.05800 validation_1-rmse:0.05323
[82] validation_0-rmse:0.05784 validation_1-rmse:0.05301
[83] validation_0-rmse:0.05769 validation_1-rmse:0.05283
[84] validation_0-rmse:0.05753 validation_1-rmse:0.05260
[85] validation_0-rmse:0.05739 validation_1-rmse:0.05237
[86] validation_0-rmse:0.05724 validation_1-rmse:0.05217
[87] validation_0-rmse:0.05709 validation_1-rmse:0.05199
[88] validation_0-rmse:0.05700 validation_1-rmse:0.05186
[89] validation_0-rmse:0.05690 validation_1-rmse:0.05171
[90] validation_0-rmse:0.05680 validation_1-rmse:0.05156
[91] validation_0-rmse:0.05668 validation_1-rmse:0.05141
[92] validation_0-rmse:0.05659 validation_1-rmse:0.05126
[93] validation_0-rmse:0.05652 validation_1-rmse:0.05110
[94] validation_0-rmse:0.05641 validation_1-rmse:0.05092
[95] validation_0-rmse:0.05632 validation_1-rmse:0.05077
[96] validation_0-rmse:0.05622 validation_1-rmse:0.05063
[97] validation_0-rmse:0.05614 validation_1-rmse:0.05049
[98] validation_0-rmse:0.05605 validation_1-rmse:0.05036
[99] validation_0-rmse:0.05597 validation_1-rmse:0.05024
[100] validation_0-rmse:0.05589 validation_1-rmse:0.05013
[101] validation_0-rmse:0.05577 validation_1-rmse:0.04997
[102] validation_0-rmse:0.05564 validation_1-rmse:0.04981
[103] validation_0-rmse:0.05550 validation_1-rmse:0.04962
[104] validation_0-rmse:0.05539 validation_1-rmse:0.04946
[105] validation_0-rmse:0.05527 validation_1-rmse:0.04929
[106] validation_0-rmse:0.05520 validation_1-rmse:0.04916
[107] validation_0-rmse:0.05514 validation_1-rmse:0.04905
[108] validation_0-rmse:0.05506 validation_1-rmse:0.04893
[109] validation_0-rmse:0.05498 validation_1-rmse:0.04882
[110] validation_0-rmse:0.05491 validation_1-rmse:0.04869
[111] validation_0-rmse:0.05481 validation_1-rmse:0.04853
[112] validation_0-rmse:0.05473 validation_1-rmse:0.04842
[113] validation_0-rmse:0.05466 validation_1-rmse:0.04830
[114] validation_0-rmse:0.05458 validation_1-rmse:0.04820
[115] validation_0-rmse:0.05445 validation_1-rmse:0.04804
[116] validation_0-rmse:0.05438 validation_1-rmse:0.04792
[117] validation_0-rmse:0.05429 validation_1-rmse:0.04780
[118] validation_0-rmse:0.05419 validation_1-rmse:0.04768
[119] validation_0-rmse:0.05410 validation_1-rmse:0.04756
[120] validation_0-rmse:0.05404 validation_1-rmse:0.04746
[121] validation_0-rmse:0.05397 validation_1-rmse:0.04734
[122] validation_0-rmse:0.05388 validation_1-rmse:0.04721
[123] validation_0-rmse:0.05381 validation_1-rmse:0.04707
[124] validation_0-rmse:0.05375 validation_1-rmse:0.04697
[125] validation_0-rmse:0.05367 validation_1-rmse:0.04687
[126] validation_0-rmse:0.05361 validation_1-rmse:0.04677
[127] validation_0-rmse:0.05354 validation_1-rmse:0.04664
[128] validation_0-rmse:0.05349 validation_1-rmse:0.04656
[129] validation_0-rmse:0.05343 validation_1-rmse:0.04646
[130] validation_0-rmse:0.05336 validation_1-rmse:0.04635
[131] validation_0-rmse:0.05329 validation_1-rmse:0.04624
[132] validation_0-rmse:0.05319 validation_1-rmse:0.04612
[133] validation_0-rmse:0.05312 validation_1-rmse:0.04600
[134] validation_0-rmse:0.05306 validation_1-rmse:0.04591
[135] validation_0-rmse:0.05299 validation_1-rmse:0.04582
[136] validation_0-rmse:0.05291 validation_1-rmse:0.04571
[137] validation_0-rmse:0.05284 validation_1-rmse:0.04560
[138] validation_0-rmse:0.05274 validation_1-rmse:0.04547
[139] validation_0-rmse:0.05267 validation_1-rmse:0.04534
[140] validation_0-rmse:0.05262 validation_1-rmse:0.04526
[141] validation_0-rmse:0.05256 validation_1-rmse:0.04516
[142] validation_0-rmse:0.05250 validation_1-rmse:0.04505
[143] validation_0-rmse:0.05241 validation_1-rmse:0.04494
[144] validation_0-rmse:0.05237 validation_1-rmse:0.04485
[145] validation_0-rmse:0.05226 validation_1-rmse:0.04472
[146] validation_0-rmse:0.05222 validation_1-rmse:0.04462
[147] validation_0-rmse:0.05215 validation_1-rmse:0.04454
[148] validation_0-rmse:0.05210 validation_1-rmse:0.04445
[149] validation_0-rmse:0.05203 validation_1-rmse:0.04433
[150] validation_0-rmse:0.05199 validation_1-rmse:0.04426
[151] validation_0-rmse:0.05194 validation_1-rmse:0.04414
[152] validation_0-rmse:0.05189 validation_1-rmse:0.04404
[153] validation_0-rmse:0.05181 validation_1-rmse:0.04394
[154] validation_0-rmse:0.05178 validation_1-rmse:0.04386
[155] validation_0-rmse:0.05171 validation_1-rmse:0.04376
[156] validation_0-rmse:0.05164 validation_1-rmse:0.04364
[157] validation_0-rmse:0.05158 validation_1-rmse:0.04352
[158] validation_0-rmse:0.05151 validation_1-rmse:0.04344
[159] validation_0-rmse:0.05147 validation_1-rmse:0.04336
[160] validation_0-rmse:0.05141 validation_1-rmse:0.04326
[161] validation_0-rmse:0.05134 validation_1-rmse:0.04317
[162] validation_0-rmse:0.05130 validation_1-rmse:0.04310
[163] validation_0-rmse:0.05124 validation_1-rmse:0.04302
[164] validation_0-rmse:0.05115 validation_1-rmse:0.04290
[165] validation_0-rmse:0.05110 validation_1-rmse:0.04281
[166] validation_0-rmse:0.05104 validation_1-rmse:0.04272
[167] validation_0-rmse:0.05097 validation_1-rmse:0.04263
[168] validation_0-rmse:0.05091 validation_1-rmse:0.04254
[169] validation_0-rmse:0.05085 validation_1-rmse:0.04244
[170] validation_0-rmse:0.05079 validation_1-rmse:0.04236
[171] validation_0-rmse:0.05073 validation_1-rmse:0.04226
[172] validation_0-rmse:0.05065 validation_1-rmse:0.04216
[173] validation_0-rmse:0.05060 validation_1-rmse:0.04209
[174] validation_0-rmse:0.05055 validation_1-rmse:0.04199
[175] validation_0-rmse:0.05048 validation_1-rmse:0.04189
[176] validation_0-rmse:0.05043 validation_1-rmse:0.04181
[177] validation_0-rmse:0.05034 validation_1-rmse:0.04172
[178] validation_0-rmse:0.05030 validation_1-rmse:0.04163
[179] validation_0-rmse:0.05024 validation_1-rmse:0.04155
[180] validation_0-rmse:0.05019 validation_1-rmse:0.04148
[181] validation_0-rmse:0.05018 validation_1-rmse:0.04141
[182] validation_0-rmse:0.05014 validation_1-rmse:0.04133
[183] validation_0-rmse:0.05011 validation_1-rmse:0.04126
[184] validation_0-rmse:0.05005 validation_1-rmse:0.04117
[185] validation_0-rmse:0.04999 validation_1-rmse:0.04108
[186] validation_0-rmse:0.04996 validation_1-rmse:0.04103
[187] validation_0-rmse:0.04992 validation_1-rmse:0.04097
[188] validation_0-rmse:0.04988 validation_1-rmse:0.04090
[189] validation_0-rmse:0.04983 validation_1-rmse:0.04080
[190] validation_0-rmse:0.04978 validation_1-rmse:0.04072
[191] validation_0-rmse:0.04973 validation_1-rmse:0.04065
[192] validation_0-rmse:0.04969 validation_1-rmse:0.04058
[193] validation_0-rmse:0.04965 validation_1-rmse:0.04051
[194] validation_0-rmse:0.04960 validation_1-rmse:0.04043
[195] validation_0-rmse:0.04954 validation_1-rmse:0.04033
[196] validation_0-rmse:0.04950 validation_1-rmse:0.04025
[197] validation_0-rmse:0.04946 validation_1-rmse:0.04017
[198] validation_0-rmse:0.04940 validation_1-rmse:0.04008
[199] validation_0-rmse:0.04935 validation_1-rmse:0.04002
2025-05-02 03:09:42,276 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Done training BTC/USDT (37.38 secs) --------------------
/home/ftuser/.local/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning:
[03:09:42] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
2025-05-02 03:09:42,312 - 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 03:09:42,313 - freqtrade.freqai.freqai_interface - INFO - Saving metadata to disk.
2025-05-02 03:09:42,417 - datasieve.pipeline - WARNING - Could not find step di in pipeline, returning None
2025-05-02 03:09:42,433 - 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 03:09:42,434 - 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:154: 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:154: FutureWarning:
DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.
2025-05-02 03:09:43,042 - 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 03:09:43,043 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Starting training BTC/USDT --------------------
2025-05-02 03:09:43,156 - freqtrade.freqai.data_kitchen - INFO - BTC/USDT: dropped 0 training points due to NaNs in populated dataset 14400.
2025-05-02 03:09:43,156 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Training on data from 2025-03-01 to 2025-03-30 --------------------
2025-05-02 03:09:43,216 - 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 03:09:43,254 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - Training model on 361 features
2025-05-02 03:09:43,254 - 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:
[03:09:43] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
[0] validation_0-rmse:0.50235 validation_1-rmse:0.50448
[1] validation_0-rmse:0.47764 validation_1-rmse:0.47972
[2] validation_0-rmse:0.45422 validation_1-rmse:0.45622
[3] validation_0-rmse:0.43199 validation_1-rmse:0.43392
[4] validation_0-rmse:0.41089 validation_1-rmse:0.41275
[5] validation_0-rmse:0.39083 validation_1-rmse:0.39263
[6] validation_0-rmse:0.37181 validation_1-rmse:0.37354
[7] validation_0-rmse:0.35377 validation_1-rmse:0.35543
[8] validation_0-rmse:0.33665 validation_1-rmse:0.33825
[9] validation_0-rmse:0.32042 validation_1-rmse:0.32193
[10] validation_0-rmse:0.30500 validation_1-rmse:0.30646
[11] validation_0-rmse:0.29039 validation_1-rmse:0.29179
[12] validation_0-rmse:0.27654 validation_1-rmse:0.27788
[13] validation_0-rmse:0.26341 validation_1-rmse:0.26469
[14] validation_0-rmse:0.25098 validation_1-rmse:0.25217
[15] validation_0-rmse:0.23919 validation_1-rmse:0.24031
[16] validation_0-rmse:0.22804 validation_1-rmse:0.22908
[17] validation_0-rmse:0.21745 validation_1-rmse:0.21843
[18] validation_0-rmse:0.20743 validation_1-rmse:0.20833
[19] validation_0-rmse:0.19798 validation_1-rmse:0.19879
[20] validation_0-rmse:0.18902 validation_1-rmse:0.18976
[21] validation_0-rmse:0.18057 validation_1-rmse:0.18121
[22] validation_0-rmse:0.17255 validation_1-rmse:0.17311
[23] validation_0-rmse:0.16497 validation_1-rmse:0.16544
[24] validation_0-rmse:0.15780 validation_1-rmse:0.15818
[25] validation_0-rmse:0.15105 validation_1-rmse:0.15134
[26] validation_0-rmse:0.14467 validation_1-rmse:0.14486
[27] validation_0-rmse:0.13868 validation_1-rmse:0.13877
[28] validation_0-rmse:0.13302 validation_1-rmse:0.13300
[29] validation_0-rmse:0.12768 validation_1-rmse:0.12754
[30] validation_0-rmse:0.12266 validation_1-rmse:0.12243
[31] validation_0-rmse:0.11794 validation_1-rmse:0.11759
[32] validation_0-rmse:0.11350 validation_1-rmse:0.11304
[33] validation_0-rmse:0.10933 validation_1-rmse:0.10874
[34] validation_0-rmse:0.10540 validation_1-rmse:0.10469
[35] validation_0-rmse:0.10173 validation_1-rmse:0.10092
[36] validation_0-rmse:0.09832 validation_1-rmse:0.09738
[37] validation_0-rmse:0.09513 validation_1-rmse:0.09406
[38] validation_0-rmse:0.09215 validation_1-rmse:0.09094
[39] validation_0-rmse:0.08936 validation_1-rmse:0.08802
[40] validation_0-rmse:0.08675 validation_1-rmse:0.08528
[41] validation_0-rmse:0.08430 validation_1-rmse:0.08270
[42] validation_0-rmse:0.08200 validation_1-rmse:0.08028
[43] validation_0-rmse:0.07988 validation_1-rmse:0.07803
[44] validation_0-rmse:0.07794 validation_1-rmse:0.07596
[45] validation_0-rmse:0.07610 validation_1-rmse:0.07400
[46] validation_0-rmse:0.07441 validation_1-rmse:0.07220
[47] validation_0-rmse:0.07283 validation_1-rmse:0.07046
[48] validation_0-rmse:0.07136 validation_1-rmse:0.06885
[49] validation_0-rmse:0.07003 validation_1-rmse:0.06738
[50] validation_0-rmse:0.06876 validation_1-rmse:0.06594
[51] validation_0-rmse:0.06759 validation_1-rmse:0.06463
[52] validation_0-rmse:0.06652 validation_1-rmse:0.06346
[53] validation_0-rmse:0.06552 validation_1-rmse:0.06233
[54] validation_0-rmse:0.06461 validation_1-rmse:0.06130
[55] validation_0-rmse:0.06369 validation_1-rmse:0.06030
[56] validation_0-rmse:0.06293 validation_1-rmse:0.05940
[57] validation_0-rmse:0.06220 validation_1-rmse:0.05858
[58] validation_0-rmse:0.06153 validation_1-rmse:0.05783
[59] validation_0-rmse:0.06090 validation_1-rmse:0.05706
[60] validation_0-rmse:0.06031 validation_1-rmse:0.05638
[61] validation_0-rmse:0.05980 validation_1-rmse:0.05576
[62] validation_0-rmse:0.05925 validation_1-rmse:0.05512
[63] validation_0-rmse:0.05880 validation_1-rmse:0.05456
[64] validation_0-rmse:0.05839 validation_1-rmse:0.05406
[65] validation_0-rmse:0.05796 validation_1-rmse:0.05353
[66] validation_0-rmse:0.05760 validation_1-rmse:0.05308
[67] validation_0-rmse:0.05727 validation_1-rmse:0.05267
[68] validation_0-rmse:0.05695 validation_1-rmse:0.05228
[69] validation_0-rmse:0.05668 validation_1-rmse:0.05191
[70] validation_0-rmse:0.05641 validation_1-rmse:0.05153
[71] validation_0-rmse:0.05616 validation_1-rmse:0.05120
[72] validation_0-rmse:0.05592 validation_1-rmse:0.05089
[73] validation_0-rmse:0.05571 validation_1-rmse:0.05064
[74] validation_0-rmse:0.05548 validation_1-rmse:0.05034
[75] validation_0-rmse:0.05529 validation_1-rmse:0.05007
[76] validation_0-rmse:0.05512 validation_1-rmse:0.04982
[77] validation_0-rmse:0.05493 validation_1-rmse:0.04958
[78] validation_0-rmse:0.05475 validation_1-rmse:0.04932
[79] validation_0-rmse:0.05459 validation_1-rmse:0.04910
[80] validation_0-rmse:0.05443 validation_1-rmse:0.04889
[81] validation_0-rmse:0.05430 validation_1-rmse:0.04871
[82] validation_0-rmse:0.05417 validation_1-rmse:0.04852
[83] validation_0-rmse:0.05400 validation_1-rmse:0.04833
[84] validation_0-rmse:0.05384 validation_1-rmse:0.04812
[85] validation_0-rmse:0.05372 validation_1-rmse:0.04792
[86] validation_0-rmse:0.05363 validation_1-rmse:0.04774
[87] validation_0-rmse:0.05349 validation_1-rmse:0.04755
[88] validation_0-rmse:0.05339 validation_1-rmse:0.04740
[89] validation_0-rmse:0.05329 validation_1-rmse:0.04722
[90] validation_0-rmse:0.05317 validation_1-rmse:0.04706
[91] validation_0-rmse:0.05305 validation_1-rmse:0.04688
[92] validation_0-rmse:0.05295 validation_1-rmse:0.04672
[93] validation_0-rmse:0.05286 validation_1-rmse:0.04657
[94] validation_0-rmse:0.05275 validation_1-rmse:0.04643
[95] validation_0-rmse:0.05265 validation_1-rmse:0.04627
[96] validation_0-rmse:0.05256 validation_1-rmse:0.04614
[97] validation_0-rmse:0.05247 validation_1-rmse:0.04599
[98] validation_0-rmse:0.05238 validation_1-rmse:0.04586
[99] validation_0-rmse:0.05230 validation_1-rmse:0.04572
[100] validation_0-rmse:0.05224 validation_1-rmse:0.04561
[101] validation_0-rmse:0.05216 validation_1-rmse:0.04550
[102] validation_0-rmse:0.05211 validation_1-rmse:0.04541
[103] validation_0-rmse:0.05202 validation_1-rmse:0.04529
[104] validation_0-rmse:0.05194 validation_1-rmse:0.04517
[105] validation_0-rmse:0.05187 validation_1-rmse:0.04503
[106] validation_0-rmse:0.05179 validation_1-rmse:0.04492
[107] validation_0-rmse:0.05171 validation_1-rmse:0.04480
[108] validation_0-rmse:0.05165 validation_1-rmse:0.04467
[109] validation_0-rmse:0.05158 validation_1-rmse:0.04457
[110] validation_0-rmse:0.05150 validation_1-rmse:0.04447
[111] validation_0-rmse:0.05142 validation_1-rmse:0.04437
[112] validation_0-rmse:0.05135 validation_1-rmse:0.04425
[113] validation_0-rmse:0.05129 validation_1-rmse:0.04414
[114] validation_0-rmse:0.05124 validation_1-rmse:0.04404
[115] validation_0-rmse:0.05117 validation_1-rmse:0.04392
[116] validation_0-rmse:0.05110 validation_1-rmse:0.04382
[117] validation_0-rmse:0.05105 validation_1-rmse:0.04374
[118] validation_0-rmse:0.05095 validation_1-rmse:0.04360
[119] validation_0-rmse:0.05087 validation_1-rmse:0.04348
[120] validation_0-rmse:0.05081 validation_1-rmse:0.04337
[121] validation_0-rmse:0.05073 validation_1-rmse:0.04325
[122] validation_0-rmse:0.05062 validation_1-rmse:0.04311
[123] validation_0-rmse:0.05055 validation_1-rmse:0.04302
[124] validation_0-rmse:0.05049 validation_1-rmse:0.04291
[125] validation_0-rmse:0.05042 validation_1-rmse:0.04282
[126] validation_0-rmse:0.05035 validation_1-rmse:0.04271
[127] validation_0-rmse:0.05030 validation_1-rmse:0.04263
[128] validation_0-rmse:0.05022 validation_1-rmse:0.04252
[129] validation_0-rmse:0.05017 validation_1-rmse:0.04243
[130] validation_0-rmse:0.05011 validation_1-rmse:0.04232
[131] validation_0-rmse:0.05004 validation_1-rmse:0.04220
[132] validation_0-rmse:0.04998 validation_1-rmse:0.04211
[133] validation_0-rmse:0.04995 validation_1-rmse:0.04203
[134] validation_0-rmse:0.04985 validation_1-rmse:0.04190
[135] validation_0-rmse:0.04982 validation_1-rmse:0.04184
[136] validation_0-rmse:0.04978 validation_1-rmse:0.04177
[137] validation_0-rmse:0.04974 validation_1-rmse:0.04169
[138] validation_0-rmse:0.04968 validation_1-rmse:0.04160
[139] validation_0-rmse:0.04963 validation_1-rmse:0.04150
[140] validation_0-rmse:0.04955 validation_1-rmse:0.04140
[141] validation_0-rmse:0.04949 validation_1-rmse:0.04130
[142] validation_0-rmse:0.04947 validation_1-rmse:0.04123
[143] validation_0-rmse:0.04942 validation_1-rmse:0.04114
[144] validation_0-rmse:0.04936 validation_1-rmse:0.04105
[145] validation_0-rmse:0.04928 validation_1-rmse:0.04095
[146] validation_0-rmse:0.04923 validation_1-rmse:0.04088
[147] validation_0-rmse:0.04917 validation_1-rmse:0.04078
[148] validation_0-rmse:0.04910 validation_1-rmse:0.04069
[149] validation_0-rmse:0.04905 validation_1-rmse:0.04060
[150] validation_0-rmse:0.04899 validation_1-rmse:0.04051
[151] validation_0-rmse:0.04891 validation_1-rmse:0.04041
[152] validation_0-rmse:0.04887 validation_1-rmse:0.04034
[153] validation_0-rmse:0.04882 validation_1-rmse:0.04025
[154] validation_0-rmse:0.04878 validation_1-rmse:0.04018
[155] validation_0-rmse:0.04873 validation_1-rmse:0.04011
[156] validation_0-rmse:0.04869 validation_1-rmse:0.04004
[157] validation_0-rmse:0.04865 validation_1-rmse:0.03996
[158] validation_0-rmse:0.04861 validation_1-rmse:0.03990
[159] validation_0-rmse:0.04854 validation_1-rmse:0.03981
[160] validation_0-rmse:0.04850 validation_1-rmse:0.03974
[161] validation_0-rmse:0.04843 validation_1-rmse:0.03963
[162] validation_0-rmse:0.04837 validation_1-rmse:0.03956
[163] validation_0-rmse:0.04831 validation_1-rmse:0.03947
[164] validation_0-rmse:0.04825 validation_1-rmse:0.03938
[165] validation_0-rmse:0.04820 validation_1-rmse:0.03929
[166] validation_0-rmse:0.04816 validation_1-rmse:0.03921
[167] validation_0-rmse:0.04812 validation_1-rmse:0.03914
[168] validation_0-rmse:0.04807 validation_1-rmse:0.03905
[169] validation_0-rmse:0.04803 validation_1-rmse:0.03899
[170] validation_0-rmse:0.04798 validation_1-rmse:0.03892
[171] validation_0-rmse:0.04794 validation_1-rmse:0.03885
[172] validation_0-rmse:0.04789 validation_1-rmse:0.03878
[173] validation_0-rmse:0.04785 validation_1-rmse:0.03870
[174] validation_0-rmse:0.04781 validation_1-rmse:0.03865
[175] validation_0-rmse:0.04774 validation_1-rmse:0.03856
[176] validation_0-rmse:0.04769 validation_1-rmse:0.03849
[177] validation_0-rmse:0.04764 validation_1-rmse:0.03841
[178] validation_0-rmse:0.04756 validation_1-rmse:0.03831
[179] validation_0-rmse:0.04752 validation_1-rmse:0.03822
[180] validation_0-rmse:0.04747 validation_1-rmse:0.03814
[181] validation_0-rmse:0.04743 validation_1-rmse:0.03807
[182] validation_0-rmse:0.04739 validation_1-rmse:0.03800
[183] validation_0-rmse:0.04733 validation_1-rmse:0.03792
[184] validation_0-rmse:0.04728 validation_1-rmse:0.03784
[185] validation_0-rmse:0.04724 validation_1-rmse:0.03779
[186] validation_0-rmse:0.04720 validation_1-rmse:0.03770
[187] validation_0-rmse:0.04714 validation_1-rmse:0.03763
[188] validation_0-rmse:0.04710 validation_1-rmse:0.03758
[189] validation_0-rmse:0.04705 validation_1-rmse:0.03751
[190] validation_0-rmse:0.04700 validation_1-rmse:0.03744
[191] validation_0-rmse:0.04696 validation_1-rmse:0.03736
[192] validation_0-rmse:0.04690 validation_1-rmse:0.03728
[193] validation_0-rmse:0.04685 validation_1-rmse:0.03720
[194] validation_0-rmse:0.04678 validation_1-rmse:0.03711
[195] validation_0-rmse:0.04673 validation_1-rmse:0.03704
[196] validation_0-rmse:0.04669 validation_1-rmse:0.03698
[197] validation_0-rmse:0.04666 validation_1-rmse:0.03691
[198] validation_0-rmse:0.04662 validation_1-rmse:0.03684
[199] validation_0-rmse:0.04657 validation_1-rmse:0.03675
2025-05-02 03:10:21,556 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Done training BTC/USDT (38.51 secs) --------------------
/home/ftuser/.local/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning:
[03:10:21] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
2025-05-02 03:10:21,590 - 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 03:10:21,591 - freqtrade.freqai.freqai_interface - INFO - Saving metadata to disk.
2025-05-02 03:10:21,704 - datasieve.pipeline - WARNING - Could not find step di in pipeline, returning None
2025-05-02 03:10:21,721 - 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 03:10:21,722 - 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:154: 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:154: FutureWarning:
DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.
2025-05-02 03:10:22,397 - 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 03:10:22,397 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Starting training BTC/USDT --------------------
2025-05-02 03:10:22,485 - freqtrade.freqai.data_kitchen - INFO - BTC/USDT: dropped 0 training points due to NaNs in populated dataset 14400.
2025-05-02 03:10:22,486 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Training on data from 2025-03-11 to 2025-04-09 --------------------
2025-05-02 03:10:22,545 - 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 03:10:22,585 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - Training model on 361 features
2025-05-02 03:10:22,585 - 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:
[03:10:22] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
[0] validation_0-rmse:0.43192 validation_1-rmse:0.43358
[1] validation_0-rmse:0.41074 validation_1-rmse:0.41232
[2] validation_0-rmse:0.39063 validation_1-rmse:0.39216
[3] validation_0-rmse:0.37152 validation_1-rmse:0.37301
[4] validation_0-rmse:0.35341 validation_1-rmse:0.35484
[5] validation_0-rmse:0.33622 validation_1-rmse:0.33759
[6] validation_0-rmse:0.31988 validation_1-rmse:0.32120
[7] validation_0-rmse:0.30439 validation_1-rmse:0.30566
[8] validation_0-rmse:0.28970 validation_1-rmse:0.29091
[9] validation_0-rmse:0.27578 validation_1-rmse:0.27692
[10] validation_0-rmse:0.26254 validation_1-rmse:0.26364
[11] validation_0-rmse:0.24999 validation_1-rmse:0.25104
[12] validation_0-rmse:0.23808 validation_1-rmse:0.23908
[13] validation_0-rmse:0.22681 validation_1-rmse:0.22776
[14] validation_0-rmse:0.21610 validation_1-rmse:0.21699
[15] validation_0-rmse:0.20596 validation_1-rmse:0.20679
[16] validation_0-rmse:0.19637 validation_1-rmse:0.19714
[17] validation_0-rmse:0.18726 validation_1-rmse:0.18797
[18] validation_0-rmse:0.17866 validation_1-rmse:0.17931
[19] validation_0-rmse:0.17051 validation_1-rmse:0.17110
[20] validation_0-rmse:0.16279 validation_1-rmse:0.16332
[21] validation_0-rmse:0.15550 validation_1-rmse:0.15596
[22] validation_0-rmse:0.14859 validation_1-rmse:0.14898
[23] validation_0-rmse:0.14207 validation_1-rmse:0.14240
[24] validation_0-rmse:0.13593 validation_1-rmse:0.13618
[25] validation_0-rmse:0.13010 validation_1-rmse:0.13028
[26] validation_0-rmse:0.12461 validation_1-rmse:0.12472
[27] validation_0-rmse:0.11944 validation_1-rmse:0.11946
[28] validation_0-rmse:0.11455 validation_1-rmse:0.11448
[29] validation_0-rmse:0.10992 validation_1-rmse:0.10978
[30] validation_0-rmse:0.10558 validation_1-rmse:0.10538
[31] validation_0-rmse:0.10150 validation_1-rmse:0.10122
[32] validation_0-rmse:0.09767 validation_1-rmse:0.09730
[33] validation_0-rmse:0.09404 validation_1-rmse:0.09360
[34] validation_0-rmse:0.09066 validation_1-rmse:0.09011
[35] validation_0-rmse:0.08748 validation_1-rmse:0.08684
[36] validation_0-rmse:0.08448 validation_1-rmse:0.08376
[37] validation_0-rmse:0.08170 validation_1-rmse:0.08088
[38] validation_0-rmse:0.07909 validation_1-rmse:0.07817
[39] validation_0-rmse:0.07664 validation_1-rmse:0.07563
[40] validation_0-rmse:0.07435 validation_1-rmse:0.07325
[41] validation_0-rmse:0.07223 validation_1-rmse:0.07101
[42] validation_0-rmse:0.07025 validation_1-rmse:0.06892
[43] validation_0-rmse:0.06840 validation_1-rmse:0.06697
[44] validation_0-rmse:0.06663 validation_1-rmse:0.06512
[45] validation_0-rmse:0.06504 validation_1-rmse:0.06343
[46] validation_0-rmse:0.06356 validation_1-rmse:0.06184
[47] validation_0-rmse:0.06218 validation_1-rmse:0.06036
[48] validation_0-rmse:0.06088 validation_1-rmse:0.05895
[49] validation_0-rmse:0.05968 validation_1-rmse:0.05762
[50] validation_0-rmse:0.05857 validation_1-rmse:0.05643
[51] validation_0-rmse:0.05754 validation_1-rmse:0.05532
[52] validation_0-rmse:0.05658 validation_1-rmse:0.05426
[53] validation_0-rmse:0.05569 validation_1-rmse:0.05326
[54] validation_0-rmse:0.05484 validation_1-rmse:0.05235
[55] validation_0-rmse:0.05410 validation_1-rmse:0.05150
[56] validation_0-rmse:0.05340 validation_1-rmse:0.05070
[57] validation_0-rmse:0.05278 validation_1-rmse:0.04998
[58] validation_0-rmse:0.05217 validation_1-rmse:0.04928
[59] validation_0-rmse:0.05161 validation_1-rmse:0.04866
[60] validation_0-rmse:0.05111 validation_1-rmse:0.04806
[61] validation_0-rmse:0.05062 validation_1-rmse:0.04748
[62] validation_0-rmse:0.05019 validation_1-rmse:0.04696
[63] validation_0-rmse:0.04980 validation_1-rmse:0.04649
[64] validation_0-rmse:0.04938 validation_1-rmse:0.04602
[65] validation_0-rmse:0.04903 validation_1-rmse:0.04559
[66] validation_0-rmse:0.04869 validation_1-rmse:0.04520
[67] validation_0-rmse:0.04838 validation_1-rmse:0.04481
[68] validation_0-rmse:0.04809 validation_1-rmse:0.04446
[69] validation_0-rmse:0.04785 validation_1-rmse:0.04414
[70] validation_0-rmse:0.04757 validation_1-rmse:0.04381
[71] validation_0-rmse:0.04734 validation_1-rmse:0.04349
[72] validation_0-rmse:0.04712 validation_1-rmse:0.04320
[73] validation_0-rmse:0.04689 validation_1-rmse:0.04292
[74] validation_0-rmse:0.04668 validation_1-rmse:0.04267
[75] validation_0-rmse:0.04651 validation_1-rmse:0.04244
[76] validation_0-rmse:0.04634 validation_1-rmse:0.04220
[77] validation_0-rmse:0.04619 validation_1-rmse:0.04199
[78] validation_0-rmse:0.04605 validation_1-rmse:0.04179
[79] validation_0-rmse:0.04589 validation_1-rmse:0.04157
[80] validation_0-rmse:0.04575 validation_1-rmse:0.04136
[81] validation_0-rmse:0.04561 validation_1-rmse:0.04117
[82] validation_0-rmse:0.04549 validation_1-rmse:0.04100
[83] validation_0-rmse:0.04533 validation_1-rmse:0.04080
[84] validation_0-rmse:0.04521 validation_1-rmse:0.04063
[85] validation_0-rmse:0.04509 validation_1-rmse:0.04047
[86] validation_0-rmse:0.04499 validation_1-rmse:0.04032
[87] validation_0-rmse:0.04488 validation_1-rmse:0.04018
[88] validation_0-rmse:0.04481 validation_1-rmse:0.04005
[89] validation_0-rmse:0.04470 validation_1-rmse:0.03991
[90] validation_0-rmse:0.04461 validation_1-rmse:0.03976
[91] validation_0-rmse:0.04451 validation_1-rmse:0.03960
[92] validation_0-rmse:0.04444 validation_1-rmse:0.03949
[93] validation_0-rmse:0.04435 validation_1-rmse:0.03936
[94] validation_0-rmse:0.04428 validation_1-rmse:0.03923
[95] validation_0-rmse:0.04418 validation_1-rmse:0.03909
[96] validation_0-rmse:0.04410 validation_1-rmse:0.03896
[97] validation_0-rmse:0.04403 validation_1-rmse:0.03883
[98] validation_0-rmse:0.04396 validation_1-rmse:0.03871
[99] validation_0-rmse:0.04390 validation_1-rmse:0.03861
[100] validation_0-rmse:0.04384 validation_1-rmse:0.03852
[101] validation_0-rmse:0.04377 validation_1-rmse:0.03840
[102] validation_0-rmse:0.04372 validation_1-rmse:0.03833
[103] validation_0-rmse:0.04366 validation_1-rmse:0.03824
[104] validation_0-rmse:0.04359 validation_1-rmse:0.03811
[105] validation_0-rmse:0.04352 validation_1-rmse:0.03800
[106] validation_0-rmse:0.04344 validation_1-rmse:0.03788
[107] validation_0-rmse:0.04337 validation_1-rmse:0.03776
[108] validation_0-rmse:0.04332 validation_1-rmse:0.03766
[109] validation_0-rmse:0.04326 validation_1-rmse:0.03757
[110] validation_0-rmse:0.04319 validation_1-rmse:0.03745
[111] validation_0-rmse:0.04312 validation_1-rmse:0.03734
[112] validation_0-rmse:0.04306 validation_1-rmse:0.03725
[113] validation_0-rmse:0.04300 validation_1-rmse:0.03715
[114] validation_0-rmse:0.04294 validation_1-rmse:0.03705
[115] validation_0-rmse:0.04288 validation_1-rmse:0.03695
[116] validation_0-rmse:0.04283 validation_1-rmse:0.03686
[117] validation_0-rmse:0.04277 validation_1-rmse:0.03676
[118] validation_0-rmse:0.04271 validation_1-rmse:0.03666
[119] validation_0-rmse:0.04265 validation_1-rmse:0.03659
[120] validation_0-rmse:0.04261 validation_1-rmse:0.03651
[121] validation_0-rmse:0.04255 validation_1-rmse:0.03642
[122] validation_0-rmse:0.04252 validation_1-rmse:0.03635
[123] validation_0-rmse:0.04248 validation_1-rmse:0.03627
[124] validation_0-rmse:0.04244 validation_1-rmse:0.03619
[125] validation_0-rmse:0.04237 validation_1-rmse:0.03609
[126] validation_0-rmse:0.04232 validation_1-rmse:0.03598
[127] validation_0-rmse:0.04227 validation_1-rmse:0.03590
[128] validation_0-rmse:0.04221 validation_1-rmse:0.03580
[129] validation_0-rmse:0.04214 validation_1-rmse:0.03569
[130] validation_0-rmse:0.04207 validation_1-rmse:0.03559
[131] validation_0-rmse:0.04204 validation_1-rmse:0.03554
[132] validation_0-rmse:0.04199 validation_1-rmse:0.03545
[133] validation_0-rmse:0.04194 validation_1-rmse:0.03537
[134] validation_0-rmse:0.04189 validation_1-rmse:0.03528
[135] validation_0-rmse:0.04187 validation_1-rmse:0.03522
[136] validation_0-rmse:0.04182 validation_1-rmse:0.03513
[137] validation_0-rmse:0.04178 validation_1-rmse:0.03505
[138] validation_0-rmse:0.04172 validation_1-rmse:0.03495
[139] validation_0-rmse:0.04167 validation_1-rmse:0.03487
[140] validation_0-rmse:0.04163 validation_1-rmse:0.03479
[141] validation_0-rmse:0.04158 validation_1-rmse:0.03471
[142] validation_0-rmse:0.04155 validation_1-rmse:0.03465
[143] validation_0-rmse:0.04148 validation_1-rmse:0.03455
[144] validation_0-rmse:0.04143 validation_1-rmse:0.03447
[145] validation_0-rmse:0.04139 validation_1-rmse:0.03440
[146] validation_0-rmse:0.04133 validation_1-rmse:0.03431
[147] validation_0-rmse:0.04130 validation_1-rmse:0.03425
[148] validation_0-rmse:0.04125 validation_1-rmse:0.03418
[149] validation_0-rmse:0.04123 validation_1-rmse:0.03412
[150] validation_0-rmse:0.04119 validation_1-rmse:0.03405
[151] validation_0-rmse:0.04114 validation_1-rmse:0.03399
[152] validation_0-rmse:0.04108 validation_1-rmse:0.03391
[153] validation_0-rmse:0.04102 validation_1-rmse:0.03383
[154] validation_0-rmse:0.04097 validation_1-rmse:0.03377
[155] validation_0-rmse:0.04093 validation_1-rmse:0.03368
[156] validation_0-rmse:0.04091 validation_1-rmse:0.03362
[157] validation_0-rmse:0.04086 validation_1-rmse:0.03354
[158] validation_0-rmse:0.04082 validation_1-rmse:0.03347
[159] validation_0-rmse:0.04076 validation_1-rmse:0.03339
[160] validation_0-rmse:0.04070 validation_1-rmse:0.03331
[161] validation_0-rmse:0.04067 validation_1-rmse:0.03325
[162] validation_0-rmse:0.04063 validation_1-rmse:0.03318
[163] validation_0-rmse:0.04059 validation_1-rmse:0.03312
[164] validation_0-rmse:0.04056 validation_1-rmse:0.03305
[165] validation_0-rmse:0.04051 validation_1-rmse:0.03297
[166] validation_0-rmse:0.04049 validation_1-rmse:0.03292
[167] validation_0-rmse:0.04045 validation_1-rmse:0.03285
[168] validation_0-rmse:0.04040 validation_1-rmse:0.03278
[169] validation_0-rmse:0.04035 validation_1-rmse:0.03271
[170] validation_0-rmse:0.04031 validation_1-rmse:0.03263
[171] validation_0-rmse:0.04026 validation_1-rmse:0.03256
[172] validation_0-rmse:0.04022 validation_1-rmse:0.03250
[173] validation_0-rmse:0.04018 validation_1-rmse:0.03244
[174] validation_0-rmse:0.04014 validation_1-rmse:0.03237
[175] validation_0-rmse:0.04010 validation_1-rmse:0.03230
[176] validation_0-rmse:0.04007 validation_1-rmse:0.03225
[177] validation_0-rmse:0.04003 validation_1-rmse:0.03219
[178] validation_0-rmse:0.04000 validation_1-rmse:0.03213
[179] validation_0-rmse:0.03995 validation_1-rmse:0.03205
[180] validation_0-rmse:0.03990 validation_1-rmse:0.03199
[181] validation_0-rmse:0.03986 validation_1-rmse:0.03193
[182] validation_0-rmse:0.03981 validation_1-rmse:0.03186
[183] validation_0-rmse:0.03977 validation_1-rmse:0.03180
[184] validation_0-rmse:0.03974 validation_1-rmse:0.03173
[185] validation_0-rmse:0.03970 validation_1-rmse:0.03168
[186] validation_0-rmse:0.03967 validation_1-rmse:0.03161
[187] validation_0-rmse:0.03964 validation_1-rmse:0.03155
[188] validation_0-rmse:0.03960 validation_1-rmse:0.03149
[189] validation_0-rmse:0.03956 validation_1-rmse:0.03143
[190] validation_0-rmse:0.03952 validation_1-rmse:0.03136
[191] validation_0-rmse:0.03948 validation_1-rmse:0.03129
[192] validation_0-rmse:0.03944 validation_1-rmse:0.03122
[193] validation_0-rmse:0.03941 validation_1-rmse:0.03117
[194] validation_0-rmse:0.03938 validation_1-rmse:0.03112
[195] validation_0-rmse:0.03934 validation_1-rmse:0.03105
[196] validation_0-rmse:0.03931 validation_1-rmse:0.03099
[197] validation_0-rmse:0.03928 validation_1-rmse:0.03094
[198] validation_0-rmse:0.03925 validation_1-rmse:0.03089
[199] validation_0-rmse:0.03921 validation_1-rmse:0.03081
2025-05-02 03:11:03,302 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Done training BTC/USDT (40.90 secs) --------------------
/home/ftuser/.local/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning:
[03:11:03] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
2025-05-02 03:11:03,342 - 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 03:11:03,343 - freqtrade.freqai.freqai_interface - INFO - Saving metadata to disk.
2025-05-02 03:11:03,431 - datasieve.pipeline - WARNING - Could not find step di in pipeline, returning None
2025-05-02 03:11:03,557 - freqtrade.freqai.freqai_interface - INFO - Training 5 timeranges
2025-05-02 03:11:03,558 - 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 03:11:03,559 - 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 03:11:12,141 - freqtrade.data.dataprovider - INFO - Increasing startup_candle_count for freqai on 5m to 8690
2025-05-02 03:11:12,142 - 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 03:11:12,151 - freqtrade.data.history.datahandlers.idatahandler - WARNING - SOL/USDT, spot, 5m, data starts at 2025-02-01 00:00:00
2025-05-02 03:11:12,239 - freqtrade.data.dataprovider - INFO - Increasing startup_candle_count for freqai on 1h to 770
2025-05-02 03:11:12,240 - 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 03:11:12,244 - freqtrade.data.history.datahandlers.idatahandler - WARNING - SOL/USDT, spot, 1h, data starts at 2025-02-01 00:00:00
2025-05-02 03:11:12,600 - freqtrade.data.dataprovider - INFO - Increasing startup_candle_count for freqai on 3m to 14450
2025-05-02 03:11:12,601 - 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 03:11:12,610 - freqtrade.data.history.datahandlers.idatahandler - WARNING - BTC/USDT, spot, 3m, data starts at 2025-02-01 00:00:00
/freqtrade/templates/OKXRegressionStrategy.py:154: 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:154: FutureWarning:
DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.
2025-05-02 03:11:14,141 - 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 03:11:14,142 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Starting training SOL/USDT --------------------
2025-05-02 03:11:14,285 - freqtrade.freqai.data_kitchen - INFO - SOL/USDT: dropped 0 training points due to NaNs in populated dataset 13440.
2025-05-02 03:11:14,286 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Training on data from 2025-02-01 to 2025-02-28 --------------------
2025-05-02 03:11:14,365 - 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 03:11:14,421 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - Training model on 631 features
2025-05-02 03:11:14,421 - 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:
[03:11:14] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
[0] validation_0-rmse:0.55205 validation_1-rmse:0.55174
[1] validation_0-rmse:0.52499 validation_1-rmse:0.52469
[2] validation_0-rmse:0.49929 validation_1-rmse:0.49901
[3] validation_0-rmse:0.47489 validation_1-rmse:0.47462
[4] validation_0-rmse:0.45174 validation_1-rmse:0.45147
[5] validation_0-rmse:0.42977 validation_1-rmse:0.42952
[6] validation_0-rmse:0.40894 validation_1-rmse:0.40868
[7] validation_0-rmse:0.38918 validation_1-rmse:0.38891
[8] validation_0-rmse:0.37041 validation_1-rmse:0.37013
[9] validation_0-rmse:0.35262 validation_1-rmse:0.35233
[10] validation_0-rmse:0.33575 validation_1-rmse:0.33545
[11] validation_0-rmse:0.31974 validation_1-rmse:0.31943
[12] validation_0-rmse:0.30459 validation_1-rmse:0.30425
[13] validation_0-rmse:0.29021 validation_1-rmse:0.28986
[14] validation_0-rmse:0.27657 validation_1-rmse:0.27620
[15] validation_0-rmse:0.26364 validation_1-rmse:0.26325
[16] validation_0-rmse:0.25143 validation_1-rmse:0.25101
[17] validation_0-rmse:0.23988 validation_1-rmse:0.23942
[18] validation_0-rmse:0.22891 validation_1-rmse:0.22841
[19] validation_0-rmse:0.21850 validation_1-rmse:0.21797
[20] validation_0-rmse:0.20869 validation_1-rmse:0.20813
[21] validation_0-rmse:0.19941 validation_1-rmse:0.19882
[22] validation_0-rmse:0.19063 validation_1-rmse:0.18999
[23] validation_0-rmse:0.18239 validation_1-rmse:0.18169
[24] validation_0-rmse:0.17456 validation_1-rmse:0.17383
[25] validation_0-rmse:0.16721 validation_1-rmse:0.16641
[26] validation_0-rmse:0.16022 validation_1-rmse:0.15936
[27] validation_0-rmse:0.15366 validation_1-rmse:0.15275
[28] validation_0-rmse:0.14750 validation_1-rmse:0.14651
[29] validation_0-rmse:0.14170 validation_1-rmse:0.14062
[30] validation_0-rmse:0.13622 validation_1-rmse:0.13508
[31] validation_0-rmse:0.13108 validation_1-rmse:0.12988
[32] validation_0-rmse:0.12626 validation_1-rmse:0.12497
[33] validation_0-rmse:0.12174 validation_1-rmse:0.12037
[34] validation_0-rmse:0.11746 validation_1-rmse:0.11599
[35] validation_0-rmse:0.11348 validation_1-rmse:0.11193
[36] validation_0-rmse:0.10980 validation_1-rmse:0.10813
[37] validation_0-rmse:0.10633 validation_1-rmse:0.10456
[38] validation_0-rmse:0.10308 validation_1-rmse:0.10122
[39] validation_0-rmse:0.10004 validation_1-rmse:0.09807
[40] validation_0-rmse:0.09724 validation_1-rmse:0.09517
[41] validation_0-rmse:0.09459 validation_1-rmse:0.09242
[42] validation_0-rmse:0.09214 validation_1-rmse:0.08985
[43] validation_0-rmse:0.08987 validation_1-rmse:0.08745
[44] validation_0-rmse:0.08778 validation_1-rmse:0.08522
[45] validation_0-rmse:0.08582 validation_1-rmse:0.08315
[46] validation_0-rmse:0.08398 validation_1-rmse:0.08117
[47] validation_0-rmse:0.08228 validation_1-rmse:0.07936
[48] validation_0-rmse:0.08072 validation_1-rmse:0.07767
[49] validation_0-rmse:0.07930 validation_1-rmse:0.07612
[50] validation_0-rmse:0.07795 validation_1-rmse:0.07465
[51] validation_0-rmse:0.07668 validation_1-rmse:0.07326
[52] validation_0-rmse:0.07555 validation_1-rmse:0.07200
[53] validation_0-rmse:0.07445 validation_1-rmse:0.07081
[54] validation_0-rmse:0.07348 validation_1-rmse:0.06971
[55] validation_0-rmse:0.07257 validation_1-rmse:0.06869
[56] validation_0-rmse:0.07175 validation_1-rmse:0.06776
[57] validation_0-rmse:0.07097 validation_1-rmse:0.06688
[58] validation_0-rmse:0.07025 validation_1-rmse:0.06603
[59] validation_0-rmse:0.06955 validation_1-rmse:0.06523
[60] validation_0-rmse:0.06893 validation_1-rmse:0.06450
[61] validation_0-rmse:0.06838 validation_1-rmse:0.06386
[62] validation_0-rmse:0.06784 validation_1-rmse:0.06322
[63] validation_0-rmse:0.06732 validation_1-rmse:0.06258
[64] validation_0-rmse:0.06690 validation_1-rmse:0.06205
[65] validation_0-rmse:0.06650 validation_1-rmse:0.06156
[66] validation_0-rmse:0.06610 validation_1-rmse:0.06107
[67] validation_0-rmse:0.06576 validation_1-rmse:0.06061
[68] validation_0-rmse:0.06540 validation_1-rmse:0.06016
[69] validation_0-rmse:0.06508 validation_1-rmse:0.05977
[70] validation_0-rmse:0.06479 validation_1-rmse:0.05940
[71] validation_0-rmse:0.06453 validation_1-rmse:0.05906
[72] validation_0-rmse:0.06430 validation_1-rmse:0.05875
[73] validation_0-rmse:0.06407 validation_1-rmse:0.05842
[74] validation_0-rmse:0.06387 validation_1-rmse:0.05814
[75] validation_0-rmse:0.06366 validation_1-rmse:0.05785
[76] validation_0-rmse:0.06345 validation_1-rmse:0.05756
[77] validation_0-rmse:0.06326 validation_1-rmse:0.05731
[78] validation_0-rmse:0.06309 validation_1-rmse:0.05709
[79] validation_0-rmse:0.06290 validation_1-rmse:0.05684
[80] validation_0-rmse:0.06273 validation_1-rmse:0.05660
[81] validation_0-rmse:0.06259 validation_1-rmse:0.05638
[82] validation_0-rmse:0.06244 validation_1-rmse:0.05618
[83] validation_0-rmse:0.06227 validation_1-rmse:0.05595
[84] validation_0-rmse:0.06207 validation_1-rmse:0.05570
[85] validation_0-rmse:0.06195 validation_1-rmse:0.05552
[86] validation_0-rmse:0.06182 validation_1-rmse:0.05533
[87] validation_0-rmse:0.06171 validation_1-rmse:0.05515
[88] validation_0-rmse:0.06158 validation_1-rmse:0.05494
[89] validation_0-rmse:0.06145 validation_1-rmse:0.05476
[90] validation_0-rmse:0.06129 validation_1-rmse:0.05458
[91] validation_0-rmse:0.06120 validation_1-rmse:0.05439
[92] validation_0-rmse:0.06110 validation_1-rmse:0.05423
[93] validation_0-rmse:0.06102 validation_1-rmse:0.05409
[94] validation_0-rmse:0.06090 validation_1-rmse:0.05391
[95] validation_0-rmse:0.06079 validation_1-rmse:0.05375
[96] validation_0-rmse:0.06068 validation_1-rmse:0.05358
[97] validation_0-rmse:0.06058 validation_1-rmse:0.05343
[98] validation_0-rmse:0.06043 validation_1-rmse:0.05323
[99] validation_0-rmse:0.06031 validation_1-rmse:0.05308
[100] validation_0-rmse:0.06019 validation_1-rmse:0.05289
[101] validation_0-rmse:0.06007 validation_1-rmse:0.05271
[102] validation_0-rmse:0.05996 validation_1-rmse:0.05256
[103] validation_0-rmse:0.05985 validation_1-rmse:0.05240
[104] validation_0-rmse:0.05974 validation_1-rmse:0.05224
[105] validation_0-rmse:0.05968 validation_1-rmse:0.05210
[106] validation_0-rmse:0.05961 validation_1-rmse:0.05198
[107] validation_0-rmse:0.05955 validation_1-rmse:0.05186
[108] validation_0-rmse:0.05947 validation_1-rmse:0.05173
[109] validation_0-rmse:0.05938 validation_1-rmse:0.05159
[110] validation_0-rmse:0.05932 validation_1-rmse:0.05148
[111] validation_0-rmse:0.05929 validation_1-rmse:0.05136
[112] validation_0-rmse:0.05923 validation_1-rmse:0.05125
[113] validation_0-rmse:0.05916 validation_1-rmse:0.05110
[114] validation_0-rmse:0.05909 validation_1-rmse:0.05099
[115] validation_0-rmse:0.05902 validation_1-rmse:0.05088
[116] validation_0-rmse:0.05893 validation_1-rmse:0.05074
[117] validation_0-rmse:0.05885 validation_1-rmse:0.05061
[118] validation_0-rmse:0.05876 validation_1-rmse:0.05048
[119] validation_0-rmse:0.05870 validation_1-rmse:0.05035
[120] validation_0-rmse:0.05862 validation_1-rmse:0.05023
[121] validation_0-rmse:0.05855 validation_1-rmse:0.05010
[122] validation_0-rmse:0.05847 validation_1-rmse:0.04998
[123] validation_0-rmse:0.05841 validation_1-rmse:0.04987
[124] validation_0-rmse:0.05834 validation_1-rmse:0.04974
[125] validation_0-rmse:0.05828 validation_1-rmse:0.04962
[126] validation_0-rmse:0.05817 validation_1-rmse:0.04949
[127] validation_0-rmse:0.05808 validation_1-rmse:0.04934
[128] validation_0-rmse:0.05801 validation_1-rmse:0.04920
[129] validation_0-rmse:0.05792 validation_1-rmse:0.04906
[130] validation_0-rmse:0.05786 validation_1-rmse:0.04896
[131] validation_0-rmse:0.05779 validation_1-rmse:0.04884
[132] validation_0-rmse:0.05767 validation_1-rmse:0.04869
[133] validation_0-rmse:0.05760 validation_1-rmse:0.04857
[134] validation_0-rmse:0.05753 validation_1-rmse:0.04844
[135] validation_0-rmse:0.05746 validation_1-rmse:0.04830
[136] validation_0-rmse:0.05738 validation_1-rmse:0.04818
[137] validation_0-rmse:0.05730 validation_1-rmse:0.04808
[138] validation_0-rmse:0.05723 validation_1-rmse:0.04796
[139] validation_0-rmse:0.05715 validation_1-rmse:0.04785
[140] validation_0-rmse:0.05706 validation_1-rmse:0.04772
[141] validation_0-rmse:0.05701 validation_1-rmse:0.04763
[142] validation_0-rmse:0.05693 validation_1-rmse:0.04751
[143] validation_0-rmse:0.05690 validation_1-rmse:0.04743
[144] validation_0-rmse:0.05683 validation_1-rmse:0.04732
[145] validation_0-rmse:0.05677 validation_1-rmse:0.04724
[146] validation_0-rmse:0.05671 validation_1-rmse:0.04712
[147] validation_0-rmse:0.05665 validation_1-rmse:0.04702
[148] validation_0-rmse:0.05656 validation_1-rmse:0.04688
[149] validation_0-rmse:0.05650 validation_1-rmse:0.04679
[150] validation_0-rmse:0.05639 validation_1-rmse:0.04665
[151] validation_0-rmse:0.05631 validation_1-rmse:0.04653
[152] validation_0-rmse:0.05624 validation_1-rmse:0.04644
[153] validation_0-rmse:0.05619 validation_1-rmse:0.04636
[154] validation_0-rmse:0.05615 validation_1-rmse:0.04627
[155] validation_0-rmse:0.05606 validation_1-rmse:0.04614
[156] validation_0-rmse:0.05602 validation_1-rmse:0.04607
[157] validation_0-rmse:0.05593 validation_1-rmse:0.04595
[158] validation_0-rmse:0.05587 validation_1-rmse:0.04584
[159] validation_0-rmse:0.05581 validation_1-rmse:0.04574
[160] validation_0-rmse:0.05575 validation_1-rmse:0.04565
[161] validation_0-rmse:0.05570 validation_1-rmse:0.04556
[162] validation_0-rmse:0.05567 validation_1-rmse:0.04549
[163] validation_0-rmse:0.05562 validation_1-rmse:0.04539
[164] validation_0-rmse:0.05555 validation_1-rmse:0.04527
[165] validation_0-rmse:0.05548 validation_1-rmse:0.04515
[166] validation_0-rmse:0.05542 validation_1-rmse:0.04504
[167] validation_0-rmse:0.05536 validation_1-rmse:0.04494
[168] validation_0-rmse:0.05532 validation_1-rmse:0.04485
[169] validation_0-rmse:0.05528 validation_1-rmse:0.04476
[170] validation_0-rmse:0.05522 validation_1-rmse:0.04466
[171] validation_0-rmse:0.05515 validation_1-rmse:0.04455
[172] validation_0-rmse:0.05508 validation_1-rmse:0.04444
[173] validation_0-rmse:0.05503 validation_1-rmse:0.04435
[174] validation_0-rmse:0.05499 validation_1-rmse:0.04426
[175] validation_0-rmse:0.05494 validation_1-rmse:0.04416
[176] validation_0-rmse:0.05489 validation_1-rmse:0.04406
[177] validation_0-rmse:0.05484 validation_1-rmse:0.04398
[178] validation_0-rmse:0.05477 validation_1-rmse:0.04388
[179] validation_0-rmse:0.05472 validation_1-rmse:0.04381
[180] validation_0-rmse:0.05467 validation_1-rmse:0.04372
[181] validation_0-rmse:0.05462 validation_1-rmse:0.04362
[182] validation_0-rmse:0.05458 validation_1-rmse:0.04353
[183] validation_0-rmse:0.05450 validation_1-rmse:0.04343
[184] validation_0-rmse:0.05444 validation_1-rmse:0.04333
[185] validation_0-rmse:0.05439 validation_1-rmse:0.04327
[186] validation_0-rmse:0.05434 validation_1-rmse:0.04318
[187] validation_0-rmse:0.05428 validation_1-rmse:0.04306
[188] validation_0-rmse:0.05421 validation_1-rmse:0.04297
[189] validation_0-rmse:0.05415 validation_1-rmse:0.04287
[190] validation_0-rmse:0.05412 validation_1-rmse:0.04279
[191] validation_0-rmse:0.05405 validation_1-rmse:0.04267
[192] validation_0-rmse:0.05398 validation_1-rmse:0.04257
[193] validation_0-rmse:0.05393 validation_1-rmse:0.04248
[194] validation_0-rmse:0.05387 validation_1-rmse:0.04239
[195] validation_0-rmse:0.05379 validation_1-rmse:0.04228
[196] validation_0-rmse:0.05374 validation_1-rmse:0.04220
[197] validation_0-rmse:0.05370 validation_1-rmse:0.04211
[198] validation_0-rmse:0.05366 validation_1-rmse:0.04202
[199] validation_0-rmse:0.05360 validation_1-rmse:0.04191
2025-05-02 03:12:26,454 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Done training SOL/USDT (72.31 secs) --------------------
/home/ftuser/.local/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning:
[03:12:26] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
2025-05-02 03:12:26,488 - 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 03:12:26,488 - freqtrade.freqai.freqai_interface - INFO - Saving metadata to disk.
2025-05-02 03:12:26,638 - datasieve.pipeline - WARNING - Could not find step di in pipeline, returning None
2025-05-02 03:12:26,654 - 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 03:12:26,654 - 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:154: 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:154: FutureWarning:
DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.
2025-05-02 03:12:27,333 - 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 03:12:27,334 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Starting training SOL/USDT --------------------
2025-05-02 03:12:27,485 - freqtrade.freqai.data_kitchen - INFO - SOL/USDT: dropped 0 training points due to NaNs in populated dataset 14400.
2025-05-02 03:12:27,486 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Training on data from 2025-02-09 to 2025-03-10 --------------------
2025-05-02 03:12:27,572 - 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 03:12:27,622 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - Training model on 541 features
2025-05-02 03:12:27,622 - 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:
[03:12:28] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
[0] validation_0-rmse:0.37134 validation_1-rmse:0.37012
[1] validation_0-rmse:0.35334 validation_1-rmse:0.35213
[2] validation_0-rmse:0.33625 validation_1-rmse:0.33504
[3] validation_0-rmse:0.32005 validation_1-rmse:0.31882
[4] validation_0-rmse:0.30469 validation_1-rmse:0.30345
[5] validation_0-rmse:0.29011 validation_1-rmse:0.28885
[6] validation_0-rmse:0.27627 validation_1-rmse:0.27499
[7] validation_0-rmse:0.26316 validation_1-rmse:0.26186
[8] validation_0-rmse:0.25071 validation_1-rmse:0.24940
[9] validation_0-rmse:0.23891 validation_1-rmse:0.23760
[10] validation_0-rmse:0.22774 validation_1-rmse:0.22640
[11] validation_0-rmse:0.21713 validation_1-rmse:0.21576
[12] validation_0-rmse:0.20710 validation_1-rmse:0.20570
[13] validation_0-rmse:0.19762 validation_1-rmse:0.19617
[14] validation_0-rmse:0.18863 validation_1-rmse:0.18715
[15] validation_0-rmse:0.18013 validation_1-rmse:0.17859
[16] validation_0-rmse:0.17204 validation_1-rmse:0.17045
[17] validation_0-rmse:0.16440 validation_1-rmse:0.16278
[18] validation_0-rmse:0.15718 validation_1-rmse:0.15552
[19] validation_0-rmse:0.15040 validation_1-rmse:0.14867
[20] validation_0-rmse:0.14398 validation_1-rmse:0.14220
[21] validation_0-rmse:0.13792 validation_1-rmse:0.13606
[22] validation_0-rmse:0.13217 validation_1-rmse:0.13027
[23] validation_0-rmse:0.12676 validation_1-rmse:0.12477
[24] validation_0-rmse:0.12166 validation_1-rmse:0.11961
[25] validation_0-rmse:0.11686 validation_1-rmse:0.11474
[26] validation_0-rmse:0.11234 validation_1-rmse:0.11014
[27] validation_0-rmse:0.10809 validation_1-rmse:0.10582
[28] validation_0-rmse:0.10409 validation_1-rmse:0.10173
[29] validation_0-rmse:0.10030 validation_1-rmse:0.09785
[30] validation_0-rmse:0.09679 validation_1-rmse:0.09423
[31] validation_0-rmse:0.09349 validation_1-rmse:0.09086
[32] validation_0-rmse:0.09038 validation_1-rmse:0.08766
[33] validation_0-rmse:0.08751 validation_1-rmse:0.08472
[34] validation_0-rmse:0.08479 validation_1-rmse:0.08193
[35] validation_0-rmse:0.08226 validation_1-rmse:0.07929
[36] validation_0-rmse:0.07989 validation_1-rmse:0.07683
[37] validation_0-rmse:0.07761 validation_1-rmse:0.07452
[38] validation_0-rmse:0.07554 validation_1-rmse:0.07235
[39] validation_0-rmse:0.07354 validation_1-rmse:0.07029
[40] validation_0-rmse:0.07177 validation_1-rmse:0.06843
[41] validation_0-rmse:0.07008 validation_1-rmse:0.06667
[42] validation_0-rmse:0.06855 validation_1-rmse:0.06503
[43] validation_0-rmse:0.06710 validation_1-rmse:0.06350
[44] validation_0-rmse:0.06576 validation_1-rmse:0.06207
[45] validation_0-rmse:0.06455 validation_1-rmse:0.06076
[46] validation_0-rmse:0.06338 validation_1-rmse:0.05951
[47] validation_0-rmse:0.06222 validation_1-rmse:0.05827
[48] validation_0-rmse:0.06123 validation_1-rmse:0.05721
[49] validation_0-rmse:0.06032 validation_1-rmse:0.05622
[50] validation_0-rmse:0.05950 validation_1-rmse:0.05529
[51] validation_0-rmse:0.05870 validation_1-rmse:0.05440
[52] validation_0-rmse:0.05799 validation_1-rmse:0.05363
[53] validation_0-rmse:0.05731 validation_1-rmse:0.05289
[54] validation_0-rmse:0.05665 validation_1-rmse:0.05215
[55] validation_0-rmse:0.05608 validation_1-rmse:0.05151
[56] validation_0-rmse:0.05548 validation_1-rmse:0.05090
[57] validation_0-rmse:0.05502 validation_1-rmse:0.05035
[58] validation_0-rmse:0.05446 validation_1-rmse:0.04979
[59] validation_0-rmse:0.05404 validation_1-rmse:0.04933
[60] validation_0-rmse:0.05365 validation_1-rmse:0.04888
[61] validation_0-rmse:0.05328 validation_1-rmse:0.04847
[62] validation_0-rmse:0.05292 validation_1-rmse:0.04805
[63] validation_0-rmse:0.05260 validation_1-rmse:0.04767
[64] validation_0-rmse:0.05228 validation_1-rmse:0.04730
[65] validation_0-rmse:0.05202 validation_1-rmse:0.04700
[66] validation_0-rmse:0.05175 validation_1-rmse:0.04670
[67] validation_0-rmse:0.05155 validation_1-rmse:0.04641
[68] validation_0-rmse:0.05130 validation_1-rmse:0.04609
[69] validation_0-rmse:0.05108 validation_1-rmse:0.04583
[70] validation_0-rmse:0.05084 validation_1-rmse:0.04560
[71] validation_0-rmse:0.05066 validation_1-rmse:0.04538
[72] validation_0-rmse:0.05049 validation_1-rmse:0.04514
[73] validation_0-rmse:0.05025 validation_1-rmse:0.04486
[74] validation_0-rmse:0.05002 validation_1-rmse:0.04463
[75] validation_0-rmse:0.04986 validation_1-rmse:0.04444
[76] validation_0-rmse:0.04975 validation_1-rmse:0.04425
[77] validation_0-rmse:0.04962 validation_1-rmse:0.04408
[78] validation_0-rmse:0.04949 validation_1-rmse:0.04391
[79] validation_0-rmse:0.04936 validation_1-rmse:0.04372
[80] validation_0-rmse:0.04923 validation_1-rmse:0.04353
[81] validation_0-rmse:0.04912 validation_1-rmse:0.04340
[82] validation_0-rmse:0.04900 validation_1-rmse:0.04325
[83] validation_0-rmse:0.04887 validation_1-rmse:0.04309
[84] validation_0-rmse:0.04873 validation_1-rmse:0.04292
[85] validation_0-rmse:0.04860 validation_1-rmse:0.04275
[86] validation_0-rmse:0.04848 validation_1-rmse:0.04259
[87] validation_0-rmse:0.04835 validation_1-rmse:0.04244
[88] validation_0-rmse:0.04825 validation_1-rmse:0.04231
[89] validation_0-rmse:0.04817 validation_1-rmse:0.04219
[90] validation_0-rmse:0.04811 validation_1-rmse:0.04207
[91] validation_0-rmse:0.04793 validation_1-rmse:0.04190
[92] validation_0-rmse:0.04784 validation_1-rmse:0.04178
[93] validation_0-rmse:0.04773 validation_1-rmse:0.04166
[94] validation_0-rmse:0.04756 validation_1-rmse:0.04152
[95] validation_0-rmse:0.04748 validation_1-rmse:0.04140
[96] validation_0-rmse:0.04735 validation_1-rmse:0.04124
[97] validation_0-rmse:0.04723 validation_1-rmse:0.04110
[98] validation_0-rmse:0.04716 validation_1-rmse:0.04098
[99] validation_0-rmse:0.04711 validation_1-rmse:0.04089
[100] validation_0-rmse:0.04699 validation_1-rmse:0.04077
[101] validation_0-rmse:0.04692 validation_1-rmse:0.04066
[102] validation_0-rmse:0.04684 validation_1-rmse:0.04054
[103] validation_0-rmse:0.04677 validation_1-rmse:0.04042
[104] validation_0-rmse:0.04671 validation_1-rmse:0.04033
[105] validation_0-rmse:0.04663 validation_1-rmse:0.04019
[106] validation_0-rmse:0.04657 validation_1-rmse:0.04010
[107] validation_0-rmse:0.04651 validation_1-rmse:0.04000
[108] validation_0-rmse:0.04645 validation_1-rmse:0.03990
[109] validation_0-rmse:0.04639 validation_1-rmse:0.03979
[110] validation_0-rmse:0.04632 validation_1-rmse:0.03967
[111] validation_0-rmse:0.04625 validation_1-rmse:0.03955
[112] validation_0-rmse:0.04618 validation_1-rmse:0.03945
[113] validation_0-rmse:0.04610 validation_1-rmse:0.03933
[114] validation_0-rmse:0.04601 validation_1-rmse:0.03921
[115] validation_0-rmse:0.04594 validation_1-rmse:0.03910
[116] validation_0-rmse:0.04588 validation_1-rmse:0.03901
[117] validation_0-rmse:0.04583 validation_1-rmse:0.03893
[118] validation_0-rmse:0.04569 validation_1-rmse:0.03881
[119] validation_0-rmse:0.04562 validation_1-rmse:0.03872
[120] validation_0-rmse:0.04555 validation_1-rmse:0.03862
[121] validation_0-rmse:0.04548 validation_1-rmse:0.03852
[122] validation_0-rmse:0.04539 validation_1-rmse:0.03841
[123] validation_0-rmse:0.04533 validation_1-rmse:0.03833
[124] validation_0-rmse:0.04528 validation_1-rmse:0.03823
[125] validation_0-rmse:0.04519 validation_1-rmse:0.03814
[126] validation_0-rmse:0.04512 validation_1-rmse:0.03803
[127] validation_0-rmse:0.04506 validation_1-rmse:0.03794
[128] validation_0-rmse:0.04502 validation_1-rmse:0.03785
[129] validation_0-rmse:0.04497 validation_1-rmse:0.03777
[130] validation_0-rmse:0.04491 validation_1-rmse:0.03769
[131] validation_0-rmse:0.04486 validation_1-rmse:0.03760
[132] validation_0-rmse:0.04480 validation_1-rmse:0.03749
[133] validation_0-rmse:0.04474 validation_1-rmse:0.03739
[134] validation_0-rmse:0.04468 validation_1-rmse:0.03729
[135] validation_0-rmse:0.04459 validation_1-rmse:0.03720
[136] validation_0-rmse:0.04452 validation_1-rmse:0.03710
[137] validation_0-rmse:0.04444 validation_1-rmse:0.03699
[138] validation_0-rmse:0.04435 validation_1-rmse:0.03689
[139] validation_0-rmse:0.04429 validation_1-rmse:0.03680
[140] validation_0-rmse:0.04425 validation_1-rmse:0.03671
[141] validation_0-rmse:0.04419 validation_1-rmse:0.03662
[142] validation_0-rmse:0.04410 validation_1-rmse:0.03653
[143] validation_0-rmse:0.04402 validation_1-rmse:0.03643
[144] validation_0-rmse:0.04397 validation_1-rmse:0.03632
[145] validation_0-rmse:0.04393 validation_1-rmse:0.03624
[146] validation_0-rmse:0.04388 validation_1-rmse:0.03617
[147] validation_0-rmse:0.04380 validation_1-rmse:0.03609
[148] validation_0-rmse:0.04374 validation_1-rmse:0.03599
[149] validation_0-rmse:0.04370 validation_1-rmse:0.03592
[150] validation_0-rmse:0.04363 validation_1-rmse:0.03583
[151] validation_0-rmse:0.04357 validation_1-rmse:0.03572
[152] validation_0-rmse:0.04352 validation_1-rmse:0.03565
[153] validation_0-rmse:0.04345 validation_1-rmse:0.03556
[154] validation_0-rmse:0.04338 validation_1-rmse:0.03549
[155] validation_0-rmse:0.04332 validation_1-rmse:0.03541
[156] validation_0-rmse:0.04327 validation_1-rmse:0.03534
[157] validation_0-rmse:0.04323 validation_1-rmse:0.03527
[158] validation_0-rmse:0.04316 validation_1-rmse:0.03520
[159] validation_0-rmse:0.04311 validation_1-rmse:0.03513
[160] validation_0-rmse:0.04305 validation_1-rmse:0.03504
[161] validation_0-rmse:0.04300 validation_1-rmse:0.03495
[162] validation_0-rmse:0.04292 validation_1-rmse:0.03487
[163] validation_0-rmse:0.04286 validation_1-rmse:0.03478
[164] validation_0-rmse:0.04281 validation_1-rmse:0.03470
[165] validation_0-rmse:0.04277 validation_1-rmse:0.03463
[166] validation_0-rmse:0.04272 validation_1-rmse:0.03456
[167] validation_0-rmse:0.04265 validation_1-rmse:0.03446
[168] validation_0-rmse:0.04261 validation_1-rmse:0.03440
[169] validation_0-rmse:0.04257 validation_1-rmse:0.03433
[170] validation_0-rmse:0.04252 validation_1-rmse:0.03426
[171] validation_0-rmse:0.04246 validation_1-rmse:0.03418
[172] validation_0-rmse:0.04241 validation_1-rmse:0.03410
[173] validation_0-rmse:0.04238 validation_1-rmse:0.03404
[174] validation_0-rmse:0.04234 validation_1-rmse:0.03397
[175] validation_0-rmse:0.04229 validation_1-rmse:0.03389
[176] validation_0-rmse:0.04226 validation_1-rmse:0.03383
[177] validation_0-rmse:0.04218 validation_1-rmse:0.03376
[178] validation_0-rmse:0.04213 validation_1-rmse:0.03367
[179] validation_0-rmse:0.04209 validation_1-rmse:0.03360
[180] validation_0-rmse:0.04204 validation_1-rmse:0.03352
[181] validation_0-rmse:0.04196 validation_1-rmse:0.03345
[182] validation_0-rmse:0.04191 validation_1-rmse:0.03335
[183] validation_0-rmse:0.04183 validation_1-rmse:0.03327
[184] validation_0-rmse:0.04181 validation_1-rmse:0.03321
[185] validation_0-rmse:0.04176 validation_1-rmse:0.03313
[186] validation_0-rmse:0.04172 validation_1-rmse:0.03307
[187] validation_0-rmse:0.04167 validation_1-rmse:0.03300
[188] validation_0-rmse:0.04164 validation_1-rmse:0.03292
[189] validation_0-rmse:0.04161 validation_1-rmse:0.03287
[190] validation_0-rmse:0.04158 validation_1-rmse:0.03279
[191] validation_0-rmse:0.04155 validation_1-rmse:0.03274
[192] validation_0-rmse:0.04151 validation_1-rmse:0.03267
[193] validation_0-rmse:0.04145 validation_1-rmse:0.03261
[194] validation_0-rmse:0.04142 validation_1-rmse:0.03256
[195] validation_0-rmse:0.04137 validation_1-rmse:0.03248
[196] validation_0-rmse:0.04134 validation_1-rmse:0.03242
[197] validation_0-rmse:0.04129 validation_1-rmse:0.03235
[198] validation_0-rmse:0.04123 validation_1-rmse:0.03227
[199] validation_0-rmse:0.04118 validation_1-rmse:0.03220
2025-05-02 03:13:43,791 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Done training SOL/USDT (76.46 secs) --------------------
/home/ftuser/.local/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning:
[03:13:43] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
2025-05-02 03:13:43,827 - 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 03:13:43,828 - freqtrade.freqai.freqai_interface - INFO - Saving metadata to disk.
2025-05-02 03:13:43,971 - datasieve.pipeline - WARNING - Could not find step di in pipeline, returning None
2025-05-02 03:13:43,989 - 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 03:13:43,990 - 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:154: 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:154: FutureWarning:
DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.
2025-05-02 03:13:44,792 - 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 03:13:44,793 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Starting training SOL/USDT --------------------
2025-05-02 03:13:44,946 - freqtrade.freqai.data_kitchen - INFO - SOL/USDT: dropped 0 training points due to NaNs in populated dataset 14400.
2025-05-02 03:13:44,947 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Training on data from 2025-02-19 to 2025-03-20 --------------------
2025-05-02 03:13:45,033 - 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 03:13:45,084 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - Training model on 541 features
2025-05-02 03:13:45,085 - 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:
[03:13:45] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
[0] validation_0-rmse:0.35623 validation_1-rmse:0.35922
[1] validation_0-rmse:0.33887 validation_1-rmse:0.34172
[2] validation_0-rmse:0.32239 validation_1-rmse:0.32512
[3] validation_0-rmse:0.30678 validation_1-rmse:0.30939
[4] validation_0-rmse:0.29193 validation_1-rmse:0.29443
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[10] validation_0-rmse:0.21761 validation_1-rmse:0.21956
[11] validation_0-rmse:0.20737 validation_1-rmse:0.20923
[12] validation_0-rmse:0.19766 validation_1-rmse:0.19945
[13] validation_0-rmse:0.18847 validation_1-rmse:0.19018
[14] validation_0-rmse:0.17975 validation_1-rmse:0.18140
[15] validation_0-rmse:0.17150 validation_1-rmse:0.17310
[16] validation_0-rmse:0.16368 validation_1-rmse:0.16523
[17] validation_0-rmse:0.15631 validation_1-rmse:0.15776
[18] validation_0-rmse:0.14932 validation_1-rmse:0.15067
[19] validation_0-rmse:0.14272 validation_1-rmse:0.14401
[20] validation_0-rmse:0.13645 validation_1-rmse:0.13770
[21] validation_0-rmse:0.13056 validation_1-rmse:0.13173
[22] validation_0-rmse:0.12499 validation_1-rmse:0.12608
[23] validation_0-rmse:0.11973 validation_1-rmse:0.12076
[24] validation_0-rmse:0.11476 validation_1-rmse:0.11572
[25] validation_0-rmse:0.11007 validation_1-rmse:0.11097
[26] validation_0-rmse:0.10565 validation_1-rmse:0.10647
[27] validation_0-rmse:0.10151 validation_1-rmse:0.10225
[28] validation_0-rmse:0.09762 validation_1-rmse:0.09831
[29] validation_0-rmse:0.09394 validation_1-rmse:0.09455
[30] validation_0-rmse:0.09047 validation_1-rmse:0.09100
[31] validation_0-rmse:0.08721 validation_1-rmse:0.08764
[32] validation_0-rmse:0.08416 validation_1-rmse:0.08449
[33] validation_0-rmse:0.08132 validation_1-rmse:0.08154
[34] validation_0-rmse:0.07864 validation_1-rmse:0.07880
[35] validation_0-rmse:0.07615 validation_1-rmse:0.07624
[36] validation_0-rmse:0.07384 validation_1-rmse:0.07385
[37] validation_0-rmse:0.07164 validation_1-rmse:0.07153
[38] validation_0-rmse:0.06957 validation_1-rmse:0.06939
[39] validation_0-rmse:0.06767 validation_1-rmse:0.06737
[40] validation_0-rmse:0.06590 validation_1-rmse:0.06550
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[42] validation_0-rmse:0.06270 validation_1-rmse:0.06206
[43] validation_0-rmse:0.06129 validation_1-rmse:0.06057
[44] validation_0-rmse:0.05994 validation_1-rmse:0.05912
[45] validation_0-rmse:0.05872 validation_1-rmse:0.05779
[46] validation_0-rmse:0.05759 validation_1-rmse:0.05657
[47] validation_0-rmse:0.05651 validation_1-rmse:0.05541
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[50] validation_0-rmse:0.05379 validation_1-rmse:0.05238
[51] validation_0-rmse:0.05300 validation_1-rmse:0.05153
[52] validation_0-rmse:0.05229 validation_1-rmse:0.05076
[53] validation_0-rmse:0.05161 validation_1-rmse:0.05001
[54] validation_0-rmse:0.05101 validation_1-rmse:0.04933
[55] validation_0-rmse:0.05042 validation_1-rmse:0.04865
[56] validation_0-rmse:0.04988 validation_1-rmse:0.04804
[57] validation_0-rmse:0.04941 validation_1-rmse:0.04748
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[59] validation_0-rmse:0.04855 validation_1-rmse:0.04646
[60] validation_0-rmse:0.04815 validation_1-rmse:0.04600
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[66] validation_0-rmse:0.04635 validation_1-rmse:0.04381
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[72] validation_0-rmse:0.04509 validation_1-rmse:0.04213
[73] validation_0-rmse:0.04493 validation_1-rmse:0.04191
[74] validation_0-rmse:0.04479 validation_1-rmse:0.04170
[75] validation_0-rmse:0.04463 validation_1-rmse:0.04150
[76] validation_0-rmse:0.04450 validation_1-rmse:0.04131
[77] validation_0-rmse:0.04436 validation_1-rmse:0.04108
[78] validation_0-rmse:0.04425 validation_1-rmse:0.04092
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[80] validation_0-rmse:0.04397 validation_1-rmse:0.04057
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[90] validation_0-rmse:0.04297 validation_1-rmse:0.03918
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[114] validation_0-rmse:0.04125 validation_1-rmse:0.03649
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[117] validation_0-rmse:0.04107 validation_1-rmse:0.03620
[118] validation_0-rmse:0.04101 validation_1-rmse:0.03611
[119] validation_0-rmse:0.04095 validation_1-rmse:0.03602
[120] validation_0-rmse:0.04089 validation_1-rmse:0.03593
[121] validation_0-rmse:0.04081 validation_1-rmse:0.03580
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[130] validation_0-rmse:0.04028 validation_1-rmse:0.03496
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[133] validation_0-rmse:0.04013 validation_1-rmse:0.03472
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[136] validation_0-rmse:0.03997 validation_1-rmse:0.03451
[137] validation_0-rmse:0.03993 validation_1-rmse:0.03444
[138] validation_0-rmse:0.03985 validation_1-rmse:0.03433
[139] validation_0-rmse:0.03981 validation_1-rmse:0.03427
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[147] validation_0-rmse:0.03940 validation_1-rmse:0.03360
[148] validation_0-rmse:0.03933 validation_1-rmse:0.03351
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[151] validation_0-rmse:0.03918 validation_1-rmse:0.03328
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[153] validation_0-rmse:0.03906 validation_1-rmse:0.03312
[154] validation_0-rmse:0.03899 validation_1-rmse:0.03302
[155] validation_0-rmse:0.03895 validation_1-rmse:0.03296
[156] validation_0-rmse:0.03889 validation_1-rmse:0.03287
[157] validation_0-rmse:0.03882 validation_1-rmse:0.03279
[158] validation_0-rmse:0.03877 validation_1-rmse:0.03271
[159] validation_0-rmse:0.03873 validation_1-rmse:0.03265
[160] validation_0-rmse:0.03870 validation_1-rmse:0.03259
[161] validation_0-rmse:0.03866 validation_1-rmse:0.03253
[162] validation_0-rmse:0.03862 validation_1-rmse:0.03246
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[165] validation_0-rmse:0.03849 validation_1-rmse:0.03224
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[167] validation_0-rmse:0.03839 validation_1-rmse:0.03208
[168] validation_0-rmse:0.03836 validation_1-rmse:0.03201
[169] validation_0-rmse:0.03832 validation_1-rmse:0.03195
[170] validation_0-rmse:0.03827 validation_1-rmse:0.03187
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[189] validation_0-rmse:0.03735 validation_1-rmse:0.03055
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[191] validation_0-rmse:0.03728 validation_1-rmse:0.03043
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[193] validation_0-rmse:0.03720 validation_1-rmse:0.03031
[194] validation_0-rmse:0.03715 validation_1-rmse:0.03024
[195] validation_0-rmse:0.03710 validation_1-rmse:0.03017
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[199] validation_0-rmse:0.03693 validation_1-rmse:0.02990
2025-05-02 03:15:04,966 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Done training SOL/USDT (80.17 secs) --------------------
/home/ftuser/.local/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning:
[03:15:04] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
2025-05-02 03:15:05,008 - 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 03:15:05,009 - freqtrade.freqai.freqai_interface - INFO - Saving metadata to disk.
2025-05-02 03:15:05,156 - datasieve.pipeline - WARNING - Could not find step di in pipeline, returning None
2025-05-02 03:15:05,172 - 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 03:15:05,173 - 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:154: 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:154: FutureWarning:
DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.
2025-05-02 03:15:06,074 - 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 03:15:06,074 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Starting training SOL/USDT --------------------
2025-05-02 03:15:06,236 - freqtrade.freqai.data_kitchen - INFO - SOL/USDT: dropped 0 training points due to NaNs in populated dataset 14400.
2025-05-02 03:15:06,237 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Training on data from 2025-03-01 to 2025-03-30 --------------------
2025-05-02 03:15:06,319 - 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 03:15:06,370 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - Training model on 541 features
2025-05-02 03:15:06,371 - 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:
[03:15:06] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
[0] validation_0-rmse:0.35531 validation_1-rmse:0.35869
[1] validation_0-rmse:0.33791 validation_1-rmse:0.34115
[2] validation_0-rmse:0.32142 validation_1-rmse:0.32453
[3] validation_0-rmse:0.30572 validation_1-rmse:0.30873
[4] validation_0-rmse:0.29082 validation_1-rmse:0.29373
[5] validation_0-rmse:0.27666 validation_1-rmse:0.27949
[6] validation_0-rmse:0.26323 validation_1-rmse:0.26596
[7] validation_0-rmse:0.25052 validation_1-rmse:0.25313
[8] validation_0-rmse:0.23846 validation_1-rmse:0.24094
[9] validation_0-rmse:0.22701 validation_1-rmse:0.22940
[10] validation_0-rmse:0.21615 validation_1-rmse:0.21844
[11] validation_0-rmse:0.20585 validation_1-rmse:0.20803
[12] validation_0-rmse:0.19610 validation_1-rmse:0.19819
[13] validation_0-rmse:0.18683 validation_1-rmse:0.18886
[14] validation_0-rmse:0.17805 validation_1-rmse:0.17997
[15] validation_0-rmse:0.16973 validation_1-rmse:0.17156
[16] validation_0-rmse:0.16184 validation_1-rmse:0.16359
[17] validation_0-rmse:0.15437 validation_1-rmse:0.15605
[18] validation_0-rmse:0.14732 validation_1-rmse:0.14890
[19] validation_0-rmse:0.14065 validation_1-rmse:0.14214
[20] validation_0-rmse:0.13432 validation_1-rmse:0.13571
[21] validation_0-rmse:0.12835 validation_1-rmse:0.12964
[22] validation_0-rmse:0.12270 validation_1-rmse:0.12390
[23] validation_0-rmse:0.11737 validation_1-rmse:0.11846
[24] validation_0-rmse:0.11232 validation_1-rmse:0.11331
[25] validation_0-rmse:0.10757 validation_1-rmse:0.10847
[26] validation_0-rmse:0.10308 validation_1-rmse:0.10390
[27] validation_0-rmse:0.09885 validation_1-rmse:0.09956
[28] validation_0-rmse:0.09484 validation_1-rmse:0.09546
[29] validation_0-rmse:0.09108 validation_1-rmse:0.09159
[30] validation_0-rmse:0.08755 validation_1-rmse:0.08794
[31] validation_0-rmse:0.08421 validation_1-rmse:0.08449
[32] validation_0-rmse:0.08108 validation_1-rmse:0.08126
[33] validation_0-rmse:0.07814 validation_1-rmse:0.07823
[34] validation_0-rmse:0.07539 validation_1-rmse:0.07535
[35] validation_0-rmse:0.07281 validation_1-rmse:0.07267
[36] validation_0-rmse:0.07040 validation_1-rmse:0.07014
[37] validation_0-rmse:0.06811 validation_1-rmse:0.06775
[38] validation_0-rmse:0.06601 validation_1-rmse:0.06553
[39] validation_0-rmse:0.06403 validation_1-rmse:0.06344
[40] validation_0-rmse:0.06220 validation_1-rmse:0.06149
[41] validation_0-rmse:0.06048 validation_1-rmse:0.05967
[42] validation_0-rmse:0.05890 validation_1-rmse:0.05798
[43] validation_0-rmse:0.05742 validation_1-rmse:0.05638
[44] validation_0-rmse:0.05599 validation_1-rmse:0.05486
[45] validation_0-rmse:0.05467 validation_1-rmse:0.05341
[46] validation_0-rmse:0.05347 validation_1-rmse:0.05208
[47] validation_0-rmse:0.05233 validation_1-rmse:0.05085
[48] validation_0-rmse:0.05128 validation_1-rmse:0.04971
[49] validation_0-rmse:0.05032 validation_1-rmse:0.04866
[50] validation_0-rmse:0.04944 validation_1-rmse:0.04769
[51] validation_0-rmse:0.04856 validation_1-rmse:0.04673
[52] validation_0-rmse:0.04777 validation_1-rmse:0.04585
[53] validation_0-rmse:0.04708 validation_1-rmse:0.04508
[54] validation_0-rmse:0.04644 validation_1-rmse:0.04435
[55] validation_0-rmse:0.04583 validation_1-rmse:0.04365
[56] validation_0-rmse:0.04526 validation_1-rmse:0.04299
[57] validation_0-rmse:0.04471 validation_1-rmse:0.04233
[58] validation_0-rmse:0.04420 validation_1-rmse:0.04173
[59] validation_0-rmse:0.04377 validation_1-rmse:0.04123
[60] validation_0-rmse:0.04331 validation_1-rmse:0.04068
[61] validation_0-rmse:0.04293 validation_1-rmse:0.04022
[62] validation_0-rmse:0.04256 validation_1-rmse:0.03977
[63] validation_0-rmse:0.04220 validation_1-rmse:0.03934
[64] validation_0-rmse:0.04190 validation_1-rmse:0.03897
[65] validation_0-rmse:0.04158 validation_1-rmse:0.03860
[66] validation_0-rmse:0.04133 validation_1-rmse:0.03830
[67] validation_0-rmse:0.04106 validation_1-rmse:0.03797
[68] validation_0-rmse:0.04086 validation_1-rmse:0.03769
[69] validation_0-rmse:0.04064 validation_1-rmse:0.03742
[70] validation_0-rmse:0.04042 validation_1-rmse:0.03714
[71] validation_0-rmse:0.04023 validation_1-rmse:0.03688
[72] validation_0-rmse:0.04006 validation_1-rmse:0.03664
[73] validation_0-rmse:0.03987 validation_1-rmse:0.03642
[74] validation_0-rmse:0.03971 validation_1-rmse:0.03619
[75] validation_0-rmse:0.03956 validation_1-rmse:0.03599
[76] validation_0-rmse:0.03940 validation_1-rmse:0.03580
[77] validation_0-rmse:0.03924 validation_1-rmse:0.03559
[78] validation_0-rmse:0.03911 validation_1-rmse:0.03542
[79] validation_0-rmse:0.03898 validation_1-rmse:0.03526
[80] validation_0-rmse:0.03888 validation_1-rmse:0.03512
[81] validation_0-rmse:0.03877 validation_1-rmse:0.03496
[82] validation_0-rmse:0.03865 validation_1-rmse:0.03480
[83] validation_0-rmse:0.03856 validation_1-rmse:0.03464
[84] validation_0-rmse:0.03845 validation_1-rmse:0.03449
[85] validation_0-rmse:0.03834 validation_1-rmse:0.03435
[86] validation_0-rmse:0.03825 validation_1-rmse:0.03423
[87] validation_0-rmse:0.03816 validation_1-rmse:0.03411
[88] validation_0-rmse:0.03807 validation_1-rmse:0.03400
[89] validation_0-rmse:0.03801 validation_1-rmse:0.03390
[90] validation_0-rmse:0.03791 validation_1-rmse:0.03375
[91] validation_0-rmse:0.03783 validation_1-rmse:0.03364
[92] validation_0-rmse:0.03773 validation_1-rmse:0.03351
[93] validation_0-rmse:0.03765 validation_1-rmse:0.03339
[94] validation_0-rmse:0.03758 validation_1-rmse:0.03327
[95] validation_0-rmse:0.03751 validation_1-rmse:0.03317
[96] validation_0-rmse:0.03742 validation_1-rmse:0.03306
[97] validation_0-rmse:0.03735 validation_1-rmse:0.03296
[98] validation_0-rmse:0.03727 validation_1-rmse:0.03285
[99] validation_0-rmse:0.03722 validation_1-rmse:0.03277
[100] validation_0-rmse:0.03716 validation_1-rmse:0.03266
[101] validation_0-rmse:0.03707 validation_1-rmse:0.03254
[102] validation_0-rmse:0.03701 validation_1-rmse:0.03247
[103] validation_0-rmse:0.03696 validation_1-rmse:0.03240
[104] validation_0-rmse:0.03689 validation_1-rmse:0.03231
[105] validation_0-rmse:0.03682 validation_1-rmse:0.03221
[106] validation_0-rmse:0.03677 validation_1-rmse:0.03211
[107] validation_0-rmse:0.03670 validation_1-rmse:0.03201
[108] validation_0-rmse:0.03664 validation_1-rmse:0.03192
[109] validation_0-rmse:0.03656 validation_1-rmse:0.03180
[110] validation_0-rmse:0.03650 validation_1-rmse:0.03171
[111] validation_0-rmse:0.03646 validation_1-rmse:0.03163
[112] validation_0-rmse:0.03638 validation_1-rmse:0.03153
[113] validation_0-rmse:0.03633 validation_1-rmse:0.03145
[114] validation_0-rmse:0.03628 validation_1-rmse:0.03137
[115] validation_0-rmse:0.03622 validation_1-rmse:0.03128
[116] validation_0-rmse:0.03618 validation_1-rmse:0.03121
[117] validation_0-rmse:0.03613 validation_1-rmse:0.03114
[118] validation_0-rmse:0.03607 validation_1-rmse:0.03107
[119] validation_0-rmse:0.03604 validation_1-rmse:0.03100
[120] validation_0-rmse:0.03599 validation_1-rmse:0.03093
[121] validation_0-rmse:0.03593 validation_1-rmse:0.03084
[122] validation_0-rmse:0.03588 validation_1-rmse:0.03077
[123] validation_0-rmse:0.03582 validation_1-rmse:0.03069
[124] validation_0-rmse:0.03576 validation_1-rmse:0.03060
[125] validation_0-rmse:0.03572 validation_1-rmse:0.03053
[126] validation_0-rmse:0.03565 validation_1-rmse:0.03045
[127] validation_0-rmse:0.03562 validation_1-rmse:0.03039
[128] validation_0-rmse:0.03557 validation_1-rmse:0.03032
[129] validation_0-rmse:0.03553 validation_1-rmse:0.03026
[130] validation_0-rmse:0.03548 validation_1-rmse:0.03018
[131] validation_0-rmse:0.03544 validation_1-rmse:0.03012
[132] validation_0-rmse:0.03539 validation_1-rmse:0.03004
[133] validation_0-rmse:0.03535 validation_1-rmse:0.02996
[134] validation_0-rmse:0.03530 validation_1-rmse:0.02987
[135] validation_0-rmse:0.03527 validation_1-rmse:0.02982
[136] validation_0-rmse:0.03522 validation_1-rmse:0.02974
[137] validation_0-rmse:0.03516 validation_1-rmse:0.02966
[138] validation_0-rmse:0.03510 validation_1-rmse:0.02957
[139] validation_0-rmse:0.03505 validation_1-rmse:0.02949
[140] validation_0-rmse:0.03500 validation_1-rmse:0.02943
[141] validation_0-rmse:0.03495 validation_1-rmse:0.02935
[142] validation_0-rmse:0.03493 validation_1-rmse:0.02929
[143] validation_0-rmse:0.03487 validation_1-rmse:0.02923
[144] validation_0-rmse:0.03482 validation_1-rmse:0.02916
[145] validation_0-rmse:0.03476 validation_1-rmse:0.02907
[146] validation_0-rmse:0.03472 validation_1-rmse:0.02901
[147] validation_0-rmse:0.03467 validation_1-rmse:0.02892
[148] validation_0-rmse:0.03464 validation_1-rmse:0.02887
[149] validation_0-rmse:0.03460 validation_1-rmse:0.02879
[150] validation_0-rmse:0.03456 validation_1-rmse:0.02872
[151] validation_0-rmse:0.03451 validation_1-rmse:0.02866
[152] validation_0-rmse:0.03447 validation_1-rmse:0.02858
[153] validation_0-rmse:0.03443 validation_1-rmse:0.02852
[154] validation_0-rmse:0.03441 validation_1-rmse:0.02847
[155] validation_0-rmse:0.03437 validation_1-rmse:0.02841
[156] validation_0-rmse:0.03435 validation_1-rmse:0.02836
[157] validation_0-rmse:0.03432 validation_1-rmse:0.02831
[158] validation_0-rmse:0.03428 validation_1-rmse:0.02824
[159] validation_0-rmse:0.03423 validation_1-rmse:0.02818
[160] validation_0-rmse:0.03417 validation_1-rmse:0.02810
[161] validation_0-rmse:0.03413 validation_1-rmse:0.02804
[162] validation_0-rmse:0.03409 validation_1-rmse:0.02797
[163] validation_0-rmse:0.03407 validation_1-rmse:0.02793
[164] validation_0-rmse:0.03403 validation_1-rmse:0.02786
[165] validation_0-rmse:0.03398 validation_1-rmse:0.02779
[166] validation_0-rmse:0.03393 validation_1-rmse:0.02773
[167] validation_0-rmse:0.03390 validation_1-rmse:0.02768
[168] validation_0-rmse:0.03385 validation_1-rmse:0.02760
[169] validation_0-rmse:0.03381 validation_1-rmse:0.02754
[170] validation_0-rmse:0.03376 validation_1-rmse:0.02747
[171] validation_0-rmse:0.03373 validation_1-rmse:0.02741
[172] validation_0-rmse:0.03369 validation_1-rmse:0.02735
[173] validation_0-rmse:0.03366 validation_1-rmse:0.02730
[174] validation_0-rmse:0.03362 validation_1-rmse:0.02724
[175] validation_0-rmse:0.03359 validation_1-rmse:0.02718
[176] validation_0-rmse:0.03353 validation_1-rmse:0.02712
[177] validation_0-rmse:0.03349 validation_1-rmse:0.02706
[178] validation_0-rmse:0.03345 validation_1-rmse:0.02700
[179] validation_0-rmse:0.03343 validation_1-rmse:0.02694
[180] validation_0-rmse:0.03340 validation_1-rmse:0.02690
[181] validation_0-rmse:0.03335 validation_1-rmse:0.02683
[182] validation_0-rmse:0.03331 validation_1-rmse:0.02678
[183] validation_0-rmse:0.03328 validation_1-rmse:0.02673
[184] validation_0-rmse:0.03324 validation_1-rmse:0.02667
[185] validation_0-rmse:0.03321 validation_1-rmse:0.02661
[186] validation_0-rmse:0.03315 validation_1-rmse:0.02655
[187] validation_0-rmse:0.03310 validation_1-rmse:0.02649
[188] validation_0-rmse:0.03308 validation_1-rmse:0.02646
[189] validation_0-rmse:0.03304 validation_1-rmse:0.02639
[190] validation_0-rmse:0.03300 validation_1-rmse:0.02634
[191] validation_0-rmse:0.03296 validation_1-rmse:0.02629
[192] validation_0-rmse:0.03294 validation_1-rmse:0.02624
[193] validation_0-rmse:0.03289 validation_1-rmse:0.02618
[194] validation_0-rmse:0.03284 validation_1-rmse:0.02612
[195] validation_0-rmse:0.03280 validation_1-rmse:0.02606
[196] validation_0-rmse:0.03277 validation_1-rmse:0.02601
[197] validation_0-rmse:0.03274 validation_1-rmse:0.02595
[198] validation_0-rmse:0.03270 validation_1-rmse:0.02590
[199] validation_0-rmse:0.03267 validation_1-rmse:0.02586
2025-05-02 03:16:29,119 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Done training SOL/USDT (83.04 secs) --------------------
/home/ftuser/.local/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning:
[03:16:29] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
2025-05-02 03:16:29,156 - 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 03:16:29,156 - freqtrade.freqai.freqai_interface - INFO - Saving metadata to disk.
2025-05-02 03:16:29,301 - datasieve.pipeline - WARNING - Could not find step di in pipeline, returning None
2025-05-02 03:16:29,319 - 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 03:16:29,320 - 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:154: 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:154: FutureWarning:
DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.
2025-05-02 03:16:30,319 - 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 03:16:30,320 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Starting training SOL/USDT --------------------
2025-05-02 03:16:30,476 - freqtrade.freqai.data_kitchen - INFO - SOL/USDT: dropped 0 training points due to NaNs in populated dataset 14400.
2025-05-02 03:16:30,477 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Training on data from 2025-03-11 to 2025-04-09 --------------------
2025-05-02 03:16:30,564 - 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 03:16:30,616 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - Training model on 541 features
2025-05-02 03:16:30,616 - 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:
[03:16:31] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
[0] validation_0-rmse:0.41252 validation_1-rmse:0.41346
[1] validation_0-rmse:0.39232 validation_1-rmse:0.39319
[2] validation_0-rmse:0.37315 validation_1-rmse:0.37396
[3] validation_0-rmse:0.35494 validation_1-rmse:0.35570
[4] validation_0-rmse:0.33767 validation_1-rmse:0.33836
[5] validation_0-rmse:0.32129 validation_1-rmse:0.32191
[6] validation_0-rmse:0.30572 validation_1-rmse:0.30629
[7] validation_0-rmse:0.29096 validation_1-rmse:0.29148
[8] validation_0-rmse:0.27695 validation_1-rmse:0.27743
[9] validation_0-rmse:0.26366 validation_1-rmse:0.26409
[10] validation_0-rmse:0.25108 validation_1-rmse:0.25144
[11] validation_0-rmse:0.23911 validation_1-rmse:0.23943
[12] validation_0-rmse:0.22779 validation_1-rmse:0.22805
[13] validation_0-rmse:0.21705 validation_1-rmse:0.21727
[14] validation_0-rmse:0.20687 validation_1-rmse:0.20705
[15] validation_0-rmse:0.19720 validation_1-rmse:0.19735
[16] validation_0-rmse:0.18807 validation_1-rmse:0.18817
[17] validation_0-rmse:0.17943 validation_1-rmse:0.17946
[18] validation_0-rmse:0.17124 validation_1-rmse:0.17122
[19] validation_0-rmse:0.16349 validation_1-rmse:0.16341
[20] validation_0-rmse:0.15618 validation_1-rmse:0.15603
[21] validation_0-rmse:0.14926 validation_1-rmse:0.14906
[22] validation_0-rmse:0.14271 validation_1-rmse:0.14244
[23] validation_0-rmse:0.13651 validation_1-rmse:0.13617
[24] validation_0-rmse:0.13068 validation_1-rmse:0.13026
[25] validation_0-rmse:0.12516 validation_1-rmse:0.12467
[26] validation_0-rmse:0.11996 validation_1-rmse:0.11938
[27] validation_0-rmse:0.11502 validation_1-rmse:0.11438
[28] validation_0-rmse:0.11039 validation_1-rmse:0.10967
[29] validation_0-rmse:0.10601 validation_1-rmse:0.10521
[30] validation_0-rmse:0.10191 validation_1-rmse:0.10104
[31] validation_0-rmse:0.09804 validation_1-rmse:0.09709
[32] validation_0-rmse:0.09442 validation_1-rmse:0.09335
[33] validation_0-rmse:0.09100 validation_1-rmse:0.08984
[34] validation_0-rmse:0.08779 validation_1-rmse:0.08655
[35] validation_0-rmse:0.08479 validation_1-rmse:0.08346
[36] validation_0-rmse:0.08197 validation_1-rmse:0.08055
[37] validation_0-rmse:0.07934 validation_1-rmse:0.07782
[38] validation_0-rmse:0.07684 validation_1-rmse:0.07522
[39] validation_0-rmse:0.07456 validation_1-rmse:0.07286
[40] validation_0-rmse:0.07240 validation_1-rmse:0.07062
[41] validation_0-rmse:0.07038 validation_1-rmse:0.06850
[42] validation_0-rmse:0.06852 validation_1-rmse:0.06653
[43] validation_0-rmse:0.06679 validation_1-rmse:0.06470
[44] validation_0-rmse:0.06518 validation_1-rmse:0.06300
[45] validation_0-rmse:0.06369 validation_1-rmse:0.06141
[46] validation_0-rmse:0.06227 validation_1-rmse:0.05991
[47] validation_0-rmse:0.06100 validation_1-rmse:0.05852
[48] validation_0-rmse:0.05980 validation_1-rmse:0.05724
[49] validation_0-rmse:0.05867 validation_1-rmse:0.05604
[50] validation_0-rmse:0.05764 validation_1-rmse:0.05491
[51] validation_0-rmse:0.05668 validation_1-rmse:0.05387
[52] validation_0-rmse:0.05579 validation_1-rmse:0.05289
[53] validation_0-rmse:0.05499 validation_1-rmse:0.05201
[54] validation_0-rmse:0.05421 validation_1-rmse:0.05114
[55] validation_0-rmse:0.05350 validation_1-rmse:0.05036
[56] validation_0-rmse:0.05288 validation_1-rmse:0.04966
[57] validation_0-rmse:0.05230 validation_1-rmse:0.04899
[58] validation_0-rmse:0.05174 validation_1-rmse:0.04837
[59] validation_0-rmse:0.05126 validation_1-rmse:0.04781
[60] validation_0-rmse:0.05079 validation_1-rmse:0.04726
[61] validation_0-rmse:0.05034 validation_1-rmse:0.04674
[62] validation_0-rmse:0.04988 validation_1-rmse:0.04621
[63] validation_0-rmse:0.04949 validation_1-rmse:0.04575
[64] validation_0-rmse:0.04910 validation_1-rmse:0.04528
[65] validation_0-rmse:0.04877 validation_1-rmse:0.04489
[66] validation_0-rmse:0.04844 validation_1-rmse:0.04451
[67] validation_0-rmse:0.04815 validation_1-rmse:0.04415
[68] validation_0-rmse:0.04788 validation_1-rmse:0.04383
[69] validation_0-rmse:0.04761 validation_1-rmse:0.04350
[70] validation_0-rmse:0.04738 validation_1-rmse:0.04322
[71] validation_0-rmse:0.04714 validation_1-rmse:0.04292
[72] validation_0-rmse:0.04693 validation_1-rmse:0.04266
[73] validation_0-rmse:0.04673 validation_1-rmse:0.04242
[74] validation_0-rmse:0.04653 validation_1-rmse:0.04215
[75] validation_0-rmse:0.04637 validation_1-rmse:0.04195
[76] validation_0-rmse:0.04621 validation_1-rmse:0.04175
[77] validation_0-rmse:0.04606 validation_1-rmse:0.04155
[78] validation_0-rmse:0.04590 validation_1-rmse:0.04135
[79] validation_0-rmse:0.04576 validation_1-rmse:0.04118
[80] validation_0-rmse:0.04562 validation_1-rmse:0.04100
[81] validation_0-rmse:0.04547 validation_1-rmse:0.04082
[82] validation_0-rmse:0.04533 validation_1-rmse:0.04063
[83] validation_0-rmse:0.04523 validation_1-rmse:0.04049
[84] validation_0-rmse:0.04513 validation_1-rmse:0.04035
[85] validation_0-rmse:0.04502 validation_1-rmse:0.04019
[86] validation_0-rmse:0.04491 validation_1-rmse:0.04001
[87] validation_0-rmse:0.04479 validation_1-rmse:0.03987
[88] validation_0-rmse:0.04470 validation_1-rmse:0.03975
[89] validation_0-rmse:0.04462 validation_1-rmse:0.03965
[90] validation_0-rmse:0.04453 validation_1-rmse:0.03951
[91] validation_0-rmse:0.04446 validation_1-rmse:0.03940
[92] validation_0-rmse:0.04436 validation_1-rmse:0.03926
[93] validation_0-rmse:0.04426 validation_1-rmse:0.03913
[94] validation_0-rmse:0.04419 validation_1-rmse:0.03901
[95] validation_0-rmse:0.04408 validation_1-rmse:0.03887
[96] validation_0-rmse:0.04400 validation_1-rmse:0.03877
[97] validation_0-rmse:0.04393 validation_1-rmse:0.03864
[98] validation_0-rmse:0.04384 validation_1-rmse:0.03850
[99] validation_0-rmse:0.04374 validation_1-rmse:0.03837
[100] validation_0-rmse:0.04369 validation_1-rmse:0.03826
[101] validation_0-rmse:0.04361 validation_1-rmse:0.03815
[102] validation_0-rmse:0.04355 validation_1-rmse:0.03805
[103] validation_0-rmse:0.04349 validation_1-rmse:0.03796
[104] validation_0-rmse:0.04341 validation_1-rmse:0.03785
[105] validation_0-rmse:0.04333 validation_1-rmse:0.03776
[106] validation_0-rmse:0.04325 validation_1-rmse:0.03765
[107] validation_0-rmse:0.04320 validation_1-rmse:0.03756
[108] validation_0-rmse:0.04314 validation_1-rmse:0.03748
[109] validation_0-rmse:0.04309 validation_1-rmse:0.03741
[110] validation_0-rmse:0.04303 validation_1-rmse:0.03729
[111] validation_0-rmse:0.04298 validation_1-rmse:0.03721
[112] validation_0-rmse:0.04293 validation_1-rmse:0.03713
[113] validation_0-rmse:0.04289 validation_1-rmse:0.03705
[114] validation_0-rmse:0.04285 validation_1-rmse:0.03699
[115] validation_0-rmse:0.04280 validation_1-rmse:0.03691
[116] validation_0-rmse:0.04275 validation_1-rmse:0.03683
[117] validation_0-rmse:0.04269 validation_1-rmse:0.03673
[118] validation_0-rmse:0.04262 validation_1-rmse:0.03664
[119] validation_0-rmse:0.04256 validation_1-rmse:0.03656
[120] validation_0-rmse:0.04250 validation_1-rmse:0.03646
[121] validation_0-rmse:0.04245 validation_1-rmse:0.03638
[122] validation_0-rmse:0.04239 validation_1-rmse:0.03627
[123] validation_0-rmse:0.04232 validation_1-rmse:0.03617
[124] validation_0-rmse:0.04227 validation_1-rmse:0.03609
[125] validation_0-rmse:0.04221 validation_1-rmse:0.03599
[126] validation_0-rmse:0.04215 validation_1-rmse:0.03590
[127] validation_0-rmse:0.04211 validation_1-rmse:0.03583
[128] validation_0-rmse:0.04204 validation_1-rmse:0.03573
[129] validation_0-rmse:0.04199 validation_1-rmse:0.03565
[130] validation_0-rmse:0.04193 validation_1-rmse:0.03557
[131] validation_0-rmse:0.04188 validation_1-rmse:0.03549
[132] validation_0-rmse:0.04183 validation_1-rmse:0.03543
[133] validation_0-rmse:0.04178 validation_1-rmse:0.03534
[134] validation_0-rmse:0.04171 validation_1-rmse:0.03525
[135] validation_0-rmse:0.04169 validation_1-rmse:0.03520
[136] validation_0-rmse:0.04165 validation_1-rmse:0.03512
[137] validation_0-rmse:0.04158 validation_1-rmse:0.03504
[138] validation_0-rmse:0.04154 validation_1-rmse:0.03495
[139] validation_0-rmse:0.04150 validation_1-rmse:0.03488
[140] validation_0-rmse:0.04146 validation_1-rmse:0.03482
[141] validation_0-rmse:0.04141 validation_1-rmse:0.03473
[142] validation_0-rmse:0.04136 validation_1-rmse:0.03464
[143] validation_0-rmse:0.04131 validation_1-rmse:0.03456
[144] validation_0-rmse:0.04127 validation_1-rmse:0.03450
[145] validation_0-rmse:0.04122 validation_1-rmse:0.03442
[146] validation_0-rmse:0.04118 validation_1-rmse:0.03435
[147] validation_0-rmse:0.04114 validation_1-rmse:0.03428
[148] validation_0-rmse:0.04110 validation_1-rmse:0.03420
[149] validation_0-rmse:0.04106 validation_1-rmse:0.03414
[150] validation_0-rmse:0.04102 validation_1-rmse:0.03406
[151] validation_0-rmse:0.04096 validation_1-rmse:0.03397
[152] validation_0-rmse:0.04090 validation_1-rmse:0.03389
[153] validation_0-rmse:0.04085 validation_1-rmse:0.03381
[154] validation_0-rmse:0.04082 validation_1-rmse:0.03376
[155] validation_0-rmse:0.04078 validation_1-rmse:0.03369
[156] validation_0-rmse:0.04072 validation_1-rmse:0.03361
[157] validation_0-rmse:0.04068 validation_1-rmse:0.03354
[158] validation_0-rmse:0.04063 validation_1-rmse:0.03346
[159] validation_0-rmse:0.04058 validation_1-rmse:0.03339
[160] validation_0-rmse:0.04054 validation_1-rmse:0.03332
[161] validation_0-rmse:0.04049 validation_1-rmse:0.03323
[162] validation_0-rmse:0.04045 validation_1-rmse:0.03316
[163] validation_0-rmse:0.04041 validation_1-rmse:0.03310
[164] validation_0-rmse:0.04039 validation_1-rmse:0.03306
[165] validation_0-rmse:0.04034 validation_1-rmse:0.03299
[166] validation_0-rmse:0.04029 validation_1-rmse:0.03293
[167] validation_0-rmse:0.04023 validation_1-rmse:0.03285
[168] validation_0-rmse:0.04020 validation_1-rmse:0.03280
[169] validation_0-rmse:0.04017 validation_1-rmse:0.03274
[170] validation_0-rmse:0.04013 validation_1-rmse:0.03267
[171] validation_0-rmse:0.04009 validation_1-rmse:0.03260
[172] validation_0-rmse:0.04003 validation_1-rmse:0.03252
[173] validation_0-rmse:0.03999 validation_1-rmse:0.03245
[174] validation_0-rmse:0.03996 validation_1-rmse:0.03238
[175] validation_0-rmse:0.03992 validation_1-rmse:0.03232
[176] validation_0-rmse:0.03988 validation_1-rmse:0.03226
[177] validation_0-rmse:0.03985 validation_1-rmse:0.03219
[178] validation_0-rmse:0.03980 validation_1-rmse:0.03210
[179] validation_0-rmse:0.03976 validation_1-rmse:0.03204
[180] validation_0-rmse:0.03972 validation_1-rmse:0.03197
[181] validation_0-rmse:0.03968 validation_1-rmse:0.03190
[182] validation_0-rmse:0.03964 validation_1-rmse:0.03184
[183] validation_0-rmse:0.03958 validation_1-rmse:0.03178
[184] validation_0-rmse:0.03954 validation_1-rmse:0.03171
[185] validation_0-rmse:0.03952 validation_1-rmse:0.03165
[186] validation_0-rmse:0.03948 validation_1-rmse:0.03158
[187] validation_0-rmse:0.03945 validation_1-rmse:0.03152
[188] validation_0-rmse:0.03943 validation_1-rmse:0.03146
[189] validation_0-rmse:0.03939 validation_1-rmse:0.03140
[190] validation_0-rmse:0.03936 validation_1-rmse:0.03134
[191] validation_0-rmse:0.03933 validation_1-rmse:0.03128
[192] validation_0-rmse:0.03929 validation_1-rmse:0.03122
[193] validation_0-rmse:0.03927 validation_1-rmse:0.03117
[194] validation_0-rmse:0.03923 validation_1-rmse:0.03112
[195] validation_0-rmse:0.03919 validation_1-rmse:0.03105
[196] validation_0-rmse:0.03915 validation_1-rmse:0.03099
[197] validation_0-rmse:0.03912 validation_1-rmse:0.03094
[198] validation_0-rmse:0.03909 validation_1-rmse:0.03089
[199] validation_0-rmse:0.03905 validation_1-rmse:0.03084
2025-05-02 03:17:55,364 - freqtrade.freqai.base_models.BaseRegressionModel - INFO - -------------------- Done training SOL/USDT (85.04 secs) --------------------
/home/ftuser/.local/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning:
[03:17:55] WARNING: /workspace/src/learner.cc:740:
Parameters: { "verbose" } are not used.
2025-05-02 03:17:55,401 - 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 03:17:55,401 - freqtrade.freqai.freqai_interface - INFO - Saving metadata to disk.
2025-05-02 03:17:55,545 - datasieve.pipeline - WARNING - Could not find step di in pipeline, returning None
2025-05-02 03:17:55,722 - 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 03:17:56,194 - freqtrade.misc - INFO - dumping json to "/freqtrade/user_data/backtest_results/backtest-result-2025-05-02_03-17-56.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 │ 6 │ -0.4 │ -0.483 │ -0.05 │ 0:22:00 │ 1 0 5 16.7 │
│ SOL/USDT │ 41 │ -0.86 │ -7.036 │ -0.7 │ 1:51:00 │ 6 0 35 14.6 │
│ TOTAL │ 47 │ -0.8 │ -7.519 │ -0.75 │ 1:40:00 │ 7 0 40 14.9 │
└──────────┴────────┴──────────────┴─────────────────┴──────────────┴──────────────┴────────────────────────┘
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 │ 47 │ -0.8 │ -7.519 │ -0.75 │ 1:40:00 │ 7 0 40 14.9 │
│ TOTAL │ 47 │ -0.8 │ -7.519 │ -0.75 │ 1:40:00 │ 7 0 40 14.9 │
└───────────┴─────────┴──────────────┴─────────────────┴──────────────┴──────────────┴────────────────────────┘
EXIT REASON STATS
┏━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ Exit Reason ┃ Exits ┃ Avg Profit % ┃ Tot Profit USDT ┃ Tot Profit % ┃ Avg Duration ┃ Win Draw Loss Win% ┃
┡━━━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━┩
│ trailing_stop_loss │ 47 │ -0.8 │ -7.519 │ -0.75 │ 1:40:00 │ 7 0 40 14.9 │
│ TOTAL │ 47 │ -0.8 │ -7.519 │ -0.75 │ 1:40:00 │ 7 0 40 14.9 │
└────────────────────┴───────┴──────────────┴─────────────────┴──────────────┴──────────────┴────────────────────────┘
MIXED TAG STATS
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ Enter Tag ┃ Exit Reason ┃ Trades ┃ Avg Profit % ┃ Tot Profit USDT ┃ Tot Profit % ┃ Avg Duration ┃ Win Draw Loss Win% ┃
┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━┩
│ ('', 'trailing_stop_loss') │ │ 47 │ -0.8 │ -7.519 │ -0.75 │ 1:40:00 │ 7 0 40 14.9 │
│ TOTAL │ │ 47 │ -0.8 │ -7.519 │ -0.75 │ 1:40:00 │ 7 0 40 14.9 │
└────────────────────────────┴─────────────┴────────┴──────────────┴─────────────────┴──────────────┴──────────────┴────────────────────────┘
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 │ 47 / 1.0 │
│ Starting balance │ 1000 USDT │
│ Final balance │ 992.481 USDT │
│ Absolute profit │ -7.519 USDT │
│ Total profit % │ -0.75% │
│ CAGR % │ -5.69% │
│ Sortino │ -10.08 │
│ Sharpe │ -9.30 │
│ Calmar │ -37.45 │
│ SQN │ -3.30 │
│ Profit factor │ 0.17 │
│ Expectancy (Ratio) │ -0.16 (-0.71) │
│ Avg. daily profit % │ -0.02% │
│ Avg. stake amount │ 19.885 USDT │
│ Total trade volume │ 1867.299 USDT │
│ │ │
│ Best Pair │ BTC/USDT -0.05% │
│ Worst Pair │ SOL/USDT -0.70% │
│ Best trade │ SOL/USDT 2.55% │
│ Worst trade │ SOL/USDT -5.11% │
│ Best day │ 0.474 USDT │
│ Worst day │ -1.283 USDT │
│ Days win/draw/lose │ 2 / 23 / 15 │
│ Avg. Duration Winners │ 1:40:00 │
│ Avg. Duration Loser │ 1:40:00 │
│ Max Consecutive Wins / Loss │ 3 / 13 │
│ Rejected Entry signals │ 0 │
│ Entry/Exit Timeouts │ 0 / 0 │
│ │ │
│ Min balance │ 991.799 USDT │
│ Max balance │ 999.961 USDT │
│ Max % of account underwater │ 0.82% │
│ Absolute Drawdown (Account) │ 0.82% │
│ Absolute Drawdown │ 8.162 USDT │
│ Drawdown high │ -0.039 USDT │
│ Drawdown low │ -8.201 USDT │
│ Drawdown Start │ 2025-03-03 18:30:00 │
│ 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 │ 47 │ -0.80 │ -7.519 │ -0.75 │ 1:40:00 │ 7 0 40 14.9 │ 8.162 USDT 0.82% │
└───────────────────────┴────────┴──────────────┴─────────────────┴──────────────┴──────────────┴────────────────────────┴───────────────────┘