Skip to content

About

Statistical Backtesting Time Series for Freqtrade

Resources

Stars

1 star

Watchers

1 watching

Forks

Latest commit

 

History

7 Commits

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 

Repository files navigation

StatisticalBacktestingFreqtrade

This notebook helps you define a proper timerange for training, validating and testing your strategy.

How to use:

  1. Edit this line to your currency location:

    token = pd.read_feather('user_data/data/binance/futures/BTC_USDT_USDT-1d-futures.feather')

    (use read_hdf or read_json if you have your database in another format)

  2. Optionally edit start_date and end_date to your desire timeframe for testing.

  3. Then use one of the methods to get timeranges for testing and validating your strategy.

About

Statistical Backtesting Time Series for Freqtrade

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages