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FreqTrade - High Frequency Crypto Trading Bot with Ready To-Go Strategies

FreqTrade - High Frequency Crypto Trading Bot with Ready To-Go Strategies 2022.11

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CHANGELOG
  • FreqUI will now show you all adjustment orders.
  • ShuffleFilter shuffle behavior can now be configured (once per candle (default), once per iteration).
  • Dropped support for 32bit Python under Windows.
  • OKX - bigger timeframes now in UTC (6h+). Please redownload your data for these timeframes! (this impacts mark and ohlcv candles, but not funding rates). ⚠️
  • Fix a memory leak in producer/consumer mode caused by pandas.
  • Temporary fix for Kraken data-downloads, which broke mid-November due to an API update.
  • Fix freqAI native installation on M1 Macs.
  • freqAI
    • up to 10x performance boost with indicator caching, vectorized normalization, and optional single precision (reduce_df_footprint = true)
    • FreqaiMultiOutputClassifier allowing as many classifier targets as desired (CatboostClassifierMultiTarget, LightGBMClassifierMultiTarget)
    • Backtest directly on models collected during live/dry run (--freqai-backtest-live-models)
  • Love
Reactions: Babak
CHANGELOG:
  • ProducerPairList - use pairs from a producer in your consumer.
  • Breaking change partial exit values will now be assumed to be stake_amount without leverage.
  • Breaking change custom_stoploss will be called with the candle's high (and corresponding profit) - to better mirror trailing_stop behavior.
  • Support for partially filled exit order cancellations (will be handled as partial exits - unless the remaining value would become unsellable).
  • send_msg() support for websockets and discord.
  • New subcommand list-freqaimodels to visualize available Model classes.
  • Improved iteration throttling, making sure data is available as soon as a new candle is available.
  • FreqAI enhancements
    • tensorboard integration for catboost.
    • new XGBoost freqAI models in XGBoostRFRegressor and XGBoostRFClassifier.
  • Love
Reactions: Babak
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