FreqAI

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* https://www.freqtrade.io/en/latest/freqai/ * https://www.freqtrade.io/en/stable/freqai-running/ {pre} freqtrade trade --config config_examples/config_freqai.example.json --strategy FreqaiExampleStrategy --freqaimodel LightGBMRegressor --strategy-path freqtrade/templates {/pre} * https://github.com/freqtrade/freqtrade/blob/develop/config_examples/config_freqai.example.json * https://github.com/freqtrade/freqtrade/blob/develop/freqtrade/templates/FreqaiExampleStrategy.py {br} FreqAI has multiple example prediction model libraries that are ready to be used as is via the flag --freqaimodel. These libraries include CatBoost, LightGBM, and XGBoost regression, classification, and multi-target models, and can be found in freqai/prediction_models/ freqtrade trade --freqaimodel ReinforcementLearner --strategy MyRLStrategy --config config.json !!Backtesting {pre} freqtrade download-data --config user_data/ai_config.json --prepend --timerange=20150131 freqtrade download-data --exchange binance --pairs BTC/USDT ETH/USDT BNB/USDT --timeframes 5m 1h --timerange=20150131- {/pre} {br} {pre} freqtrade backtesting --config config_examples/config_freqai.example.json --strategy FreqaiExampleStrategy --freqaimodel LightGBMRegressor --strategy-path freqtrade/templates --timerange 20250501- {/pre}
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