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@@ -36,7 +36,6 @@ A curated list of insanely awesome libraries, packages and resources for Quants
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- [pymc3](https://docs.pymc.io/) - Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano.
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- [modelx](https://docs.modelx.io/) - Python reimagination of spreadsheets as formula-centric objects that are interoperable with pandas.
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### Financial Instruments and Pricing
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- [OpenBB Terminal](https://github.com/OpenBB-finance/OpenBBTerminal) - Terminal for investment research for everyone.
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@@ -73,7 +72,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
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### Trading & Backtesting
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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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- [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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- [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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@@ -273,7 +272,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
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- [td](https://github.com/eddelbuettel/td) - Interfaces the 'twelvedata' API for stocks and (digital and standard) currencies.
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- [rbcb](https://github.com/wilsonfreitas/rbcb) - R interface to Brazilian Central Bank web services.
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- [rb3](https://github.com/ropensci/rb3) - A bunch of downloaders and parsers for data delivered from B3.
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- [simfinapi](https://github.com/matthiasgomolka/simfinapi) - Makes 'SimFin' data (https://simfin.com/) easily accessible in R.
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- [simfinapi](https://github.com/matthiasgomolka/simfinapi) - Makes 'SimFin' data (<https://simfin.com/>) easily accessible in R.
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### Financial Instruments and Pricing
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@@ -453,6 +452,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
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- [LFEST](https://github.com/MathisWellmann/lfest-rs) - Simulated perpetual futures exchange to trade your strategy against.
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- [TradeAggregation](https://github.com/MathisWellmann/trade_aggregation-rs) - Aggregate trades into user-defined candles using information driven rules.
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- [SlidingFeatures](https://github.com/MathisWellmann/sliding_features-rs) - Chainable tree-like sliding windows for signal processing and technical analysis.
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- [RustQuant](https://github.com/avhz/RustQuant) - Quantitative finance library written in Rust.
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## Reproducing Works, Training & Books
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