This Git repo contains free buy/sell strategies for Freqtrade.
These strategies are for educational purposes only. Do not risk money which you are afraid to lose. USE THE SOFTWARE AT YOUR OWN RISK. THE AUTHORS AND ALL AFFILIATES ASSUME NO RESPONSIBILITY FOR YOUR TRADING RESULTS.
Always start by testing strategies with a backtesting then run the trading bot in Dry-run. Do not engage money before you understand how it works and what profit/loss you should expect.
We strongly recommend you to have coding and Python knowledge. Do not hesitate to read the source code and understand the mechanism of this bot.
Value below are result from backtesting from 2018-01-10 to 2018-01-30 and
experimental.sell_profit_only enabled. More detail on each strategy
page.
| Strategy | Buy count | AVG profit % | Total profit | AVG duration | Backtest period |
|---|---|---|---|---|---|
| Strategy 001 | 55 | 0.05 | 0.00012102 | 476.1 | 2018-01-10 to 2018-01-30 |
| Strategy 002 | 9 | 3.21 | 0.00114807 | 189.4 | 2018-01-10 to 2018-01-30 |
| Strategy 003 | 14 | 1.47 | 0.00081740 | 227.5 | 2018-01-10 to 2018-01-30 |
| Strategy 004 | 37 | 0.69 | 0.00102128 | 367.3 | 2018-01-10 to 2018-01-30 |
| Strategy 005 | 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. Most of them were designed from Hyperopt calculations.
Some only work in specific market conditions, while others are more "general purpose" strategies. It's noteworthy that depending on the exchange and Pairs used, further optimization can bring better results.
Feel free to send your strategies, comments, optimizations and pull requests via an Issue ticket.
Freqtrade is a Simple High frequency trading bot for crypto currencies designed to support
exchanges and be controlled via Telegram built by gcarq@ and the core-dev team.
Each Strategies includes:
- Minimal ROI: Minimal ROI optimized for the strategy.
- Stoploss: Optimimal stoploss calculated based on hyperopt result.
- Buy Strategy: Result from Hyperopt or based on exisiting trading strategies.
- Sell Strategy
- Indicators: Includes the indicators required to run the strategy.
- Hyperopt configuration: To tune the strategy parameters.
- Backtesting results
All strategies tests are explain on their own tickets.
For each strategies, we generally run backtests twice with experimental.sell_profit_only
enabled and disabled.
First you need a working Freqtrade.
Once you have the bot on the right version, follow this steps:
- Select the strategy you want. All strategies of the repo are into user_data/strategies
- Copy the strategy file
- Paste it into your
user_data/strategiesfolder - Run the bot with the parameter
-s <STRATEGY CLASS NAME>(ex:python3 ./freqtrade/main.py -s Strategy001)
Let assume you have selected the strategy strategy001.py:
python3 ./freqtrade/main.py -s Strategy001 backtestingpython3 ./freqtrade/main.py -s Strategy001 backtesting --refresh-pairs-cachedNote: Generally, it's recommendet to use static backtest data (from a defined period of time) for compareable results.
python3 ./freqtrade/main.py -s Strategy001 backtesting --live