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A curated list of insanely awesome libraries, packages, and resources for Quantitative Finance (Quants).
An open-source framework for applying deep reinforcement learning to quantitative finance, featuring a train-test-trade pipeline for stock and crypto trading.
A curated list of practical financial machine learning tools, applications, and research repositories.
A collection of Python notebooks and tools for quantitative finance research, including backtesting, machine learning, and portfolio optimization.
Python library for portfolio optimization built on top of scikit-learn
A Python framework for portfolio optimization using deep learning to allocate investment weights in a single forward pass.
A free, no-registration online tool that helps passive investors maintain portfolio balance using dollar cost averaging.
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