111 lines
5.3 KiB
Markdown
111 lines
5.3 KiB
Markdown
# Freqtrade strategies
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This Git repo contains free buy/sell strategies for [Freqtrade](https://github.com/freqtrade/freqtrade).
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## Disclaimer
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These strategies are for educational purposes only. Do not risk money
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which you are afraid to lose. USE THE SOFTWARE AT YOUR OWN RISK. THE
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AUTHORS AND ALL AFFILIATES ASSUME NO RESPONSIBILITY FOR YOUR TRADING
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RESULTS.
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Always start by testing strategies with a backtesting then run the
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trading bot in Dry-run. Do not engage money before you understand how
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it works and what profit/loss you should expect.
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We strongly recommend you to have coding and Python knowledge. Do not
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hesitate to read the source code and understand the mechanism of this
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bot.
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## Table of Content
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- [Free trading strategies](#free-trading-strategies)
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- [Contribute](#share-your-own-strategies-and-contribute-to-this-repo)
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- [FAQ](#faq)
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- [What is Freqtrade?](#what-is-freqtrade)
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- [What includes these strategies?](#what-includes-these-strategies)
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- [How to install a strategy?](#how-to-install-a-strategy)
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- [How to test a strategy?](#how-to-test-a-strategy)
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- [How to create/optimize a strategy?](https://www.freqtrade.io/en/latest/strategy-customization/)
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## Free trading strategies
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Value below are result from backtesting from 2018-01-10 to 2018-01-30 and
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`ask_strategy.sell_profit_only` enabled. More detail on each strategy
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page.
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| Strategy | Buy count | AVG profit % | Total profit | AVG duration | Backtest period |
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|-----------|-----------|--------------|--------------|--------------|-----------------|
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| [Strategy 001](https://github.com/freqtrade/freqtrade-strategies/blob/master/user_data/strategies/Strategy001.py) | 55 | 0.05 | 0.00012102 | 476.1 | 2018-01-10 to 2018-01-30 |
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| [Strategy 002](https://github.com/freqtrade/freqtrade-strategies/blob/master/user_data/strategies/Strategy002.py) | 9 | 3.21 | 0.00114807 | 189.4 | 2018-01-10 to 2018-01-30 |
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| [Strategy 003](https://github.com/freqtrade/freqtrade-strategies/blob/master/user_data/strategies/Strategy003.py) | 14 | 1.47 | 0.00081740 | 227.5 | 2018-01-10 to 2018-01-30 |
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| [Strategy 004](https://github.com/freqtrade/freqtrade-strategies/blob/master/user_data/strategies/Strategy004.py) | 37 | 0.69 | 0.00102128 | 367.3 | 2018-01-10 to 2018-01-30 |
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| [Strategy 005](https://github.com/freqtrade/freqtrade-strategies/blob/master/user_data/strategies/Strategy005.py) | 180 | 1.16 | 0.00827589 | 156.2 | 2018-01-10 to 2018-01-30 |
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Strategies from this repo are free to use. Feel free to update them.
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Most of them were designed from Hyperopt calculations.
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Some only work in specific market conditions, while others are more "general purpose" strategies.
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It's noteworthy that depending on the exchange and Pairs used, further optimization can bring better results.
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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.
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## Share your own strategies and contribute to this repo
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Feel free to send your strategies, comments, optimizations and pull requests via an
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[Issue ticket](https://github.com/freqtrade/freqtrade-strategies/issues/new) or as a [Pull request](https://github.com/freqtrade/freqtrade-strategies/pulls) enhancing this repository.
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## FAQ
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### What is Freqtrade?
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[Freqtrade](https://github.com/freqtrade/freqtrade) Freqtrade is a free and open source crypto trading bot written in Python.
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It is designed to support all major exchanges and be controlled via Telegram. It contains backtesting, plotting and money management tools as well as strategy optimization by machine learning.
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### What includes these strategies?
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Each Strategies includes:
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- [x] **Minimal ROI**: Minimal ROI optimized for the strategy.
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- [x] **Stoploss**: Optimimal stoploss.
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- [x] **Buy signals**: Result from Hyperopt or based on exisiting trading strategies.
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- [x] **Sell signals**: Result from Hyperopt or based on exisiting trading strategies.
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- [x] **Indicators**: Includes the indicators required to run the strategy.
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Best backtest multiple strategies with the exchange and pairs you're interrested in, and finetune the strategy to the markets you're trading.
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### How to install a strategy?
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First you need a [working Freqtrade](https://freqtrade.io).
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Once you have the bot on the right version, follow this steps:
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1. Select the strategy you want. All strategies of the repo are into
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[user_data/strategies](https://github.com/freqtrade/freqtrade/tree/develop/user_data/strategies)
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2. Copy the strategy file
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3. Paste it into your `user_data/strategies` folder
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4. Run the bot with the parameter `--strategy <STRATEGY CLASS NAME>` (ex: `freqtrade trade --strategy Strategy001`)
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More information [about backtesting](https://www.freqtrade.io/en/latest/backtesting/) and [strategy customization](https://www.freqtrade.io/en/latest/strategy-customization/).
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### How to test a strategy?
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Let assume you have selected the strategy `strategy001.py`:
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#### Simple backtesting
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```bash
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freqtrade backtesting --strategy Strategy001
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```
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#### Refresh your test data
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```bash
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freqtrade download-data --days 100
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```
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*Note:* Generally, it's recommended to use static backtest data (from a defined period of time) for comparable results.
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Please check out the [official backtesting documentation](https://www.freqtrade.io/en/latest/backtesting/) for more information.
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