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allow subdaily retraining for backtesting

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robcaulk
2022-05-29 17:44:35 +02:00
parent 0aa7162055
commit 4eb4753e20
3 changed files with 19 additions and 13 deletions
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docs/freqai.md
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@@ -280,9 +280,10 @@ freqtrade trade --strategy FreqaiExampleStrategy --config config_freqai.example.
By default, Freqai will not find find any existing models and will start by training a new one
given the user configuration settings. Following training, it will use that model to predict for the
duration of `backtest_period`. After a full `backtest_period` has elapsed, Freqai will auto retrain
a new model, and begin making predictions with the updated model. FreqAI in live mode permits
the user to use fractional days (i.e. 0.1) in the `backtest_period`, which enables more frequent
retraining.
a new model, and begin making predictions with the updated model. FreqAI backtesting and live both
permit the user to use fractional days (i.e. 0.1) in the `backtest_period`, which enables more frequent
retraining. But the user should be careful that using a fractional `backtest_period` with a large
`--timerange` in backtesting will result in a huge amount of required trainings/models.
If the user wishes to start dry/live from a backtested saved model, the user only needs to reuse
the same `identifier` parameter