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@@ -85,6 +85,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
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- [Blankly](https://github.com/Blankly-Finance/Blankly) - Fully integrated backtesting, paper trading, and live deployment.
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- [TA-Lib](https://github.com/mrjbq7/ta-lib) - Python wrapper for TA-Lib (<http://ta-lib.org/>).
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- [zipline](https://github.com/quantopian/zipline) - Pythonic algorithmic trading library.
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- [zipline-reloaded](https://github.com/stefan-jansen/zipline-reloaded) - Zipline, a Pythonic Algorithmic Trading Library.
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- [QuantSoftware Toolkit](https://github.com/QuantSoftware/QuantSoftwareToolkit) - Python-based open source software framework designed to support portfolio construction and management.
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- [quantitative](https://github.com/jeffrey-liang/quantitative) - Quantitative finance, and backtesting library.
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- [analyzer](https://github.com/llazzaro/analyzer) - Python framework for real-time financial and backtesting trading strategies.
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@@ -179,6 +180,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
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### Factor Analysis
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- [alphalens](https://github.com/quantopian/alphalens) - Performance analysis of predictive alpha factors.
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- [alphalens-reloaded](https://github.com/stefan-jansen/alphalens-reloaded) - Performance analysis of predictive (alpha) stock factors.
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- [Spectre](https://github.com/Heerozh/spectre) - GPU-accelerated Factors analysis library and Backtester
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### Sentiment Analysis
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