Freqtrade strategies

This Git repo contains free buy/sell strategies for Freqtrade >= 0.16.0.

Disclaimer

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.

Table of Content

• Free trading strategies
• Contributes
• FAQ
  • What is Freqtrade?
  • What includes these strategies?
  • How were tested the strategies?
  • How to install a strategy?
  • How to test a strategy?
  • Can I have your configuration file?
  • How to create/optimize a strategy?

Free trading strategies

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.

Share your own strategies and contribute to this repo

Feel free to send your strategies, comments, optimizations and pull requests via an Issue ticket.

FAQ

What is Freqtrade?

Freqtrade is a Simple High frequency trading bot for crypto currencies designed to support multi exchanges and be controlled via Telegram built by gcarq@ and the core-dev team.

What includes these strategies?

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

How were tested the strategies?

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.

How to install a strategy?

First you need a working Freqtrade in version >= 0.16.0.

Once you have the bot on the right version, follow this steps:

1. Select the strategy you want. All strategies of the repo are into user_data/strategies
2. Copy the strategy file
3. Paste it into your user_data/strategies folder
4. Run the bot with the parameter -s <STRATEGY CLASS NAME> (ex: python3 ./freqtrade/main.py -s Strategy001)

How to test a strategy?

Let assume you have selected the strategy strategy001.py:

Simple backtesting

python3 ./freqtrade/main.py -s Strategy001 backtesting --realistic-simulation

Refresh your test data

python3 ./freqtrade/main.py -s Strategy001 backtesting --realistic-simulation -r

Test with live data

python3 ./freqtrade/main.py -s Strategy001 backtesting --realistic-simulation -l

Can I have your configuration file?

You will find them into user_data/ folder.