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Awesome List
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
GitHub stars and default-branch commits for wilsonfreitas/awesome-quant.
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Financial data platform for analysts, quants and AI agents.
Production-grade Rust-native trading engine with deterministic event-driven architecture
FinRL®: Financial Reinforcement Learning. 🔥
Probabilistic time series modeling in Python
Real time stock and option data.
The official Python client library for the Massive.com REST and WebSocket API.
Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.
An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎
Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbeard:]
A Python library for evaluating option trading strategies.
No description.
Python framework for quantitative financial analysis and trading algorithms on decentralised exchanges
Entropy Pooling views and stress testing combined with Conditional Value-at-Risk (CVaR) portfolio optimization in Python.
Prediction-market trading engine — Wang Transform pricing on 291K+ contracts; paper-traded across Kalshi · Polymarket · Solana DFlow (Jito bundles) · 633 tests
Start developing and backtesting your own automated trading strategies
Detect trend in time series, drawdown, drawdown within a constant look-back window , maximum drawdown, time underwater.
Business days calculations and utilities
tessa – simple, hassle-free access to price information of financial assets
An open-source toolkit for quantitative analysis of crypto & stock markets, featuring an advanced market screener, portfolio backtester, and companion tools for the Gunbot trading bot.
High-Performance Automatic Differentiation for Python
A Python package for PME (Public Market Equivalent) calculation
Yet another backtesting engine