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Add TradeSight to Trading & Backtesting section (#291)
Fixes section placement per review feedback on #283 — moved from Indicators to Trading & Backtesting.
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@@ -82,6 +82,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
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- [streaming_indicators](https://github.com/mr-easy/streaming_indicators) - A python library for computing technical analysis indicators on streaming data.
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### Trading & Backtesting
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- [TradeSight](https://github.com/rmbell09-lang/tradesight) - AI-powered trading intelligence platform with paper trading, strategy optimization tournaments, 15+ technical indicators, and multi-market scanning.
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- [the0](https://github.com/alexanderwanyoike/the0) - Self-hosted execution engine for algorithmic trading bots. Write strategies in Python, TypeScript, Rust, C++, C#, Scala, or Haskell and deploy with one command. Each bot runs in an isolated container with scheduled or streaming execution.
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- [skfolio](https://github.com/skfolio/skfolio) - Python library for portfolio optimization built on top of scikit-learn. It provides a unified interface and sklearn compatible tools to build, tune and cross-validate portfolio models.
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- [Investing algorithm framework](https://github.com/coding-kitties/investing-algorithm-framework) - Framework for developing, backtesting, and deploying automated trading algorithms.
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