freqtrade/freqtrade-strategies

Free trading strategies for Freqtrade bot

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Summary Information

Updated 37 minutes ago
Added to GitGenius on September 12th, 2026
Created on January 21st, 2018
Open Issues & Pull Requests: 12 (+0)
GitHub issues: Enabled
Number of forks: 1,442
Total Stargazers: 5,469 (+1)
Total Subscribers: 173 (+0)

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Detailed Description

Freqtrade-strategies is a collection of free buy and sell strategies for the Freqtrade cryptocurrency trading bot.

The repository addresses the need for ready-made trading strategies that users can deploy with the Freqtrade bot. Each strategy includes minimal ROI targets, stoploss levels, buy and sell signals derived from hyperparameter optimization or existing trading approaches, and the technical indicators required to execute them. The strategies are designed to work with Freqtrade version 2022.4 and newer. The README emphasizes that these strategies serve primarily as starting points for customization rather than turnkey solutions, and that performance depends heavily on the specific trading pairs, timeframes, and market conditions in which they are deployed.

Adoption is appropriate for developers and traders who have Python knowledge and understand the Freqtrade bot framework. The strategies suit users who want to learn from working examples and build their own variants rather than those seeking immediately profitable systems. The README strongly recommends backtesting each strategy first and running the bot in dry-run mode before committing real capital. It explicitly disclaims responsibility for trading results and warns that strategies may only work under specific market conditions. Users should expect to optimize strategies for their chosen exchanges and trading pairs to achieve better outcomes than the baseline results shown.

The project accepts community contributions through pull requests and issue tickets. Development activity shows ongoing engagement with strategy submissions and refinements from the community, indicating sustained interest in expanding and improving the strategy collection.