From 424bddd28fcd01478af48ac2b4b21cbae5368b99 Mon Sep 17 00:00:00 2001 From: Matthias Date: Fri, 7 Oct 2022 15:31:53 +0200 Subject: [PATCH] Update readme to explain strategy result table closes #270 --- README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index ae97cfc..1016b41 100644 --- a/README.md +++ b/README.md @@ -33,8 +33,7 @@ bot. ## Free trading strategies Value below are result from backtesting from 2018-01-10 to 2018-01-30 and -`exit_profit_only` enabled. More detail on each strategy -page. +`exit_profit_only` enabled. More detail on each strategy page. | Strategy | Buy count | AVG profit % | Total profit | AVG duration | Backtest period | |-----------|-----------|--------------|--------------|--------------|-----------------| @@ -44,8 +43,7 @@ page. | [Strategy 004](https://github.com/freqtrade/freqtrade-strategies/blob/main/user_data/strategies/Strategy004.py) | 37 | 0.69 | 0.00102128 | 367.3 | 2018-01-10 to 2018-01-30 | | [Strategy 005](https://github.com/freqtrade/freqtrade-strategies/blob/main/user_data/strategies/Strategy005.py) | 180 | 1.16 | 0.00827589 | 156.2 | 2018-01-10 to 2018-01-30 | - -Strategies from this repo are free to use. Feel free to update them. +Strategies from this repo are free to use. Feel free to update them to your likings. Most of them were designed from Hyperopt calculations. Some only work in specific market conditions, while others are more "general purpose" strategies. @@ -53,6 +51,8 @@ It's noteworthy that depending on the exchange and Pairs used, further optimizat Please keep in mind, results will heavily depend on the pairs, timeframe and timerange used to backtest - so please run your own backtests that mirror your usecase, to evaluate each strategy for yourself. +The results above should serve as a general outline to demonstrate the number of trades to expect. Actual performance will be different based on various factors. + ## Share your own strategies and contribute to this repo Feel free to send your strategies, comments, optimizations and pull requests via an