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Crypto-Quant: A Quantitative Trading Framework
Crypto Quant is a comprehensive Python-based repository containing experimental quantitative finance and cryptocurrency market research projects. It includes tools for market making, funding rate arbitrage, order flow analysis, volatility modeling, and machine learning-based market regime detection.
Built for AI agentsACO · 847 tokens
Summary
Crypto Quant is a comprehensive Python-based repository containing experimental quantitative finance and cryptocurrency market research projects. It includes tools for market making, funding rate arbitrage, order flow analysis, volatility modeling, and machine learning-based market regime detection.
Tags
cryptocurrency · quantitative-finance · market-microstructure · algorithmic-trading · machine-learning · python
Key entities
tubakhxn (person, 0.95) · Python (technology, 0.99) · Machine Learning (technology, 0.98) · NumPy (technology, 0.95) · Pandas (technology, 0.95) · Plotly (technology, 0.95) · Streamlit (technology, 0.95) · Scikit-learn (technology, 0.93) · CCXT (technology, 0.9) · Market Microstructure (concept, 0.97) · Order Flow Analytics (concept, 0.96) · Volatility Modeling (concept, 0.96) · Algorithmic Trading (concept, 0.97) · Financial Engineering (concept, 0.95) · Market Making (concept, 0.96) · Arbitrage (concept, 0.95)
Classification
framework · language en · status final
Provenance
claude-haiku-4-5 via @stacklist/be@0.1.0, confidence 0.85, 27 May 2026