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An open-source, broker-agnostic Python library that lets you seamlessly deploy strategies from any major backtesting engine to live (or paper) trading with zero code changes and built-in safety controls.
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@@ -157,6 +157,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
- [Trading Strategy](https://github.com/tradingstrategy-ai/getting-started) - TradingStrategy.ai is a market data, backtesting, live trading and investor management framework for decentralised finance
- [Hikyuu](https://github.com/fasiondog/hikyuu) - A base on Python/C++ open source high-performance quant framework for faster analysis and backtesting, contains the complete trading system components for reuse and combination.
- [rust_bt](https://github.com/jensnesten/rust_bt) - A high performance, low-latency backtesting engine for testing quantitative trading strategies on historical and live data in Rust.
- [StrateQueue](https://github.com/StrateQueue/StrateQueue) - An open‑source, broker‑agnostic Python library that lets you seamlessly deploy strategies from any major backtesting engine to live (or paper) trading with zero code changes and built‑in safety controls.
### Risk Analysis