gavindiaz/freqtrade-strategies
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Update readme to explain strategy result table

Browse Source 
closes #270
This commit is contained in:
Matthias
2022-10-07 15:31:53 +02:00
committed by GitHub
parent e33689c225
commit 424bddd28f
1 changed files with 4 additions and 4 deletions
Download Patch File Download Diff File Expand all files Collapse all files
README.md
+4 -4
View File
@@ -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