jerome-benoitjerome-benoitCommunity·10 Agent Skills Included

freqai-strategies

Machine learning crypto trading strategies with backtesting

Builds and runs machine learning trading strategies for Freqtrade, including regression-based and reinforcement learning models. Handles backtesting, hyperparameter optimization, and reward analysis without manual configuration of complex trading pipelines. Ships Docker setups and spec-driven change workflows so strategies can be tuned, tested, and deployed faster.
npx skills add jerome-benoit/freqai-strategies --all -g -y
Available:

Gives your AI agent repository-wide coding rules for configuration defaults, statistics, testing, and documentation so it modifies the trading strategies consistently.

All Skills in This Repository (10)

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Frequently Asked Questions

FAQPage Schema
How to install freqai-strategies?

Run `npx skills add jerome-benoit/freqai-strategies --all -g -y` in your terminal to install all skills in this suite globally.

What does freqai-strategies do?

It provides ready-to-run Freqtrade strategies that use machine learning and reinforcement learning models to trade crypto, with backtesting and hyperparameter tuning included.

How do I run the QuickAdapter strategy?

Copy the config template, add your exchange API keys, then start it with `docker compose up -d --build` from the quickadapter folder.

Does it support reinforcement learning trading?

Yes. The ReforceXY strategy trains reinforcement learning agents and includes a reward space analysis tool to evaluate trading behavior.

Do I need coding experience to use these strategies?

Basic setup only requires editing a JSON config file and running Docker commands, while your AI agent can handle deeper code changes using the included skills.

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