Add backtrader (cloudQuant fork) (#566)

* Add cloudQuant backtrader fork and fincore

* Keep only the backtrader fork entry (one entry per PR)
This commit is contained in:
cloudQuant
2026-08-16 07:08:00 -03:00
committed by GitHub
parent ae232f9485
commit 992631a235
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@@ -203,6 +203,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
- [analyzer](https://github.com/llazzaro/analyzer) - `Python` - Python framework for real-time financial and backtesting trading strategies.
- [bt](https://github.com/pmorissette/bt) - `Python` - Flexible Backtesting for Python.
- [backtrader](https://github.com/backtrader/backtrader) - `Python` - Python Backtesting library for trading strategies.
- [backtrader (cloudQuant fork)](https://github.com/cloudQuant/backtrader) - `Python` - Actively maintained, high-performance backtesting and live trading framework with AI-assisted strategy tooling (MCP server, skills, agent, web platform). [backtrader](https://github.com/backtrader/backtrader) fork.
- [TrendFollowingSystems](https://github.com/ArturSepp/TrendFollowingSystems) - `Python` - Closed-form expected returns, Sharpe ratios, and skewness of trend-following systems, with complete implementations and multi-decade futures backtests.
- [backtest-bias](https://github.com/Finance-broski/backtest-bias) - `Python` - Checks whether backtest price data is survivor-only: dead-name detection, measured bias benchmarks, CI integrity gates.
- [pythalesians](https://github.com/thalesians/pythalesians) - `Python` - Python library to backtest trading strategies, plot charts, seamlessly download market data, analyze market patterns etc.