A curated list of practical financial machine learning tools and applications.
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Updated
Jun 12, 2024 - Python
A curated list of practical financial machine learning tools and applications.
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Investment Research for Everyone, Everywhere.
The Official Python SDK for Alpaca API
The Swiss Army Knife of Applied Quantum Technology
ichimoku - Visualization and Tools for Ichimoku Kinko Hyo Strategies
Python library for portfolio optimization built on top of scikit-learn
Stock Market "Gap Up" Screener - Financial market capitalizations (IEX Cloud API).
Backtesting and Trading Bots Made Easy for Crypto, Stocks, Options, Futures, FOREX and more
Replication of the research paper : Volatility Timing under Low-Volatility Strategy
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
The modular liquidity hub. Trade spot assets, mint options, earn hedged yield.
An advanced crypto trading bot written in Python
modular quant framework.
Community version of quantitative backtesting framework
Yuan - Investment OS for everyone
Python framework for quantitative financial analysis and trading algorithms on decentralised exchanges
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