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Free trading strategies for Freqtrade bot
| Date | Stars |
|---|---|
| 2026-07-24 | 5315 |
| 2026-07-25 | 5315 |
| 2026-07-28 | 5315 |
| 2026-07-30 | 5315 |
| 2026-08-06 | 5315 |
Today
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Momentum
0.0
growth rate 0.00%/day
# Freqtrade strategies
This Git repo contains free buy/sell strategies for [Freqtrade](https://github.com/freqtrade/freqtrade).
All strategies should work with a freqtrade version of 2022.4 or newer.
## 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](#free-trading-strategies)
- [Contribute](#share-your-own-strategies-and-contribute-to-this-repo)
- [FAQ](#faq)
- [What is Freqtrade?](#what-is-freqtrade)
- [What includes these strategies?](#what-includes-these-strategies)
- [How to install a strategy?](#how-to-install-a-strategy)
- [How to test a strategy?](#how-to-test-a-strategy)
- [How to create/optimize a strategy?](https://www.freqtrade.io/en/latest/strategy-customization/)
## 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.
| Strategy | Buy count | AVG profit % | Total profit | AVG duration | Backtest period |
|-----------|-----------|--------------|--------------|--------------|-----------------|
| [Strategy 001](https://github.com/freqtrade/freqtrade-strategies/blob/main/user_data/strategies/Strategy001.py) | 55 | 0.05 | 0.00012102 | 476.1 | 2018-01-10 to 2018-01-30 |
| [Strategy 002](https://github.com/freqtrade/freqtrade-strategies/blob/main/user_data/strategies/Strategy002.py) | 9 | 3.21 | 0.00114807 | 189.4 | 2018-01-10 to 2018-01-30 |
| [Strategy 003](https://github.com/freqtrade/freqtrade-strategies/blob/main/user_data/strategies/Strategy003.py) | 14 | 1.47 | 0.00081740 | 227.5 | 2018-01-10 to 2018-01-30 |
| [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 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.
It's noteworthy that depending on the exchange and Pairs used, further optimization can bring better results.
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
[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.
## FAQ
### What is Freqtrade?
[Freqtrade](https://github.com/freqtrade/freqtrade) Freqtrade is a free and open source crypto trading bot written in Python.
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.
### What includes these strategies?
Each Strategies includes:
- [x] **Minimal ROIExcerpt of 5,679 characters
Read on GitHub
Matthias
161
57
21
Andrey Rezvov · Freqtrade core dev; FrizzleApps/Whatsitwhatsit · Russia
20
Gérald LONLAS
20
11
9
8
5
Juanky Soriano · Outgoing
5
Samuel Husso · Finland
4
4
3
2
2
2
2
2
Thuruv · India
2
2
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:b93655c61b7a1e0e, topic:trading, readme:trading bot