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Readme.md - add rburkholder/trade-frame (#34)
References additional libraries: libTorch, HDF5, boost, wxWidgets, ChartDir, Lua
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@@ -215,6 +215,7 @@ Note: the one marked as `Live Trading` has reasonable live trading support for a
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- [Cvxpy](https://github.com/cvxpy/cvxpy)   | Python, C++ | - A Python-embedded modeling language for convex optimization problems.
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- [jax](https://github.com/google/jax)   | `Python` | - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
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- [Numpy](https://github.com/numpy/numpy)   | Python, C | - The fundamental package for scientific computing with Python
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- [trade-frame](https://github.com/rburkholder/trade-frame)   | C++ | - C++ 17 based library (with sample applications) for testing equities, futures, currencies, etfs & options based automated trading ideas using DTN IQFeed real time data feed and Interactive Brokers (IB TWS API) for trade execution. Some support for Alpaca & Phemex. Notifications via Telegram
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- Modelling
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- [Scipy](https://github.com/scipy/scipy)   | Python, C | - Fundamental algorithms for scientific computing in Python
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- [statsmodels](https://github.com/statsmodels/statsmodels/)   - Python module that allows users to explore data, estimate statistical models, and perform statistical tests.
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