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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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Reimplementation of Autoencoder Asset Pricing Models (GKX, 2019)
portfolio construction and quantitative analysis
Python client for tardis.dev - historical tick-level cryptocurrency market data replay API.
Vanilla and exotic option pricing library to support quantitative R&D. Focus on pricing interesting/useful models and contracts (including and beyond Black-Scholes), as well as calibration of financial models to market data.
Python interface to SDMX
Use Python like a spreadsheet!
Common financial risk and performance metrics. Used by zipline and pyfolio.
Obtains stock symbols and relating information for SP500, AMEX, NYSE, and NASDAQ
Kelly Criterion calculation
No description.
Get meaningful OHLCV datasets
Python library for backtesting technical/mechanical strategies in the stock and currency markets
This open-source, and convenient python tool is designed to calculate fair value of a stock for given revenue growth and free cash flow margin assumptions of a company. Users can run the tool in batch mode for multiple stock valuations in one go. Download the packaged application in the latest release!
python module for currencies
Algo execution engine
Python package for timeseries analysis and manipulation
AI-powered SDK featuring algorithmic trading, backtesting, deployment on 100+ exchanges, and multiple optimization engines.
Analysis of financial instruments
Python API for accessing Lake high frequency tick trades & order book data
Open-source framework for agentic quantitative finance research.
a cashflow engine wrapper for structured finance professionals
Self-tuning multi-agent AI trading system. 8-source signal fusion, Bull/Bear/Judge debate on Claude Opus 4.7, Kelly + ATR position sizing. Python · Kalshi + Polymarket adapters.
quantitative - Quantitative finance back testing library
Composite Indicators Framework for Business Cycle Analysis
🐋 Real-time whale trade tracker for Polymarket — get terminal alerts + Telegram notifications when smart money moves
A Python SDK for FinancialData.Net API - Real-time & Historical Stock Market Data
Python Interface to econdb.com API
tessa – simple, hassle-free access to price information of financial assets
Python interface to Bloomberg COM APIs
RL stock selection for China A-share — bundled polars-native factor library (105 Alpha101 + 191 GTJA Alpha191 = 296 factors), board-aware price limits, GPU train + ONNX CPU infer, MIT-licensed.
General Purpose Stock Extractors from Online Resources
Implemention of 101 formulaic alphas using qstrader
Computer program to automatically trade binary options martingale style
AI crypto trading bot with deep neural network (84.9% accuracy, 25 coins). BiLSTM + Attention trained on GPU. Bybit, Binance, OKX, Gate.io. Free cloud or self-hosted.
Time series and portfolio analytics for quantitative finance.
PriceHub: Unified Python Package for Collecting OHLC Prices from Binance, Bybit, OKX, Coinbase, Kraken APIs into a DataFrame
Obtain pre market and after hours stock prices for a given symbol
Open-source investment analytics platform bridging academic research and retail finance. Features include portfolio risk decomposition [Fama-French Five Factor Model], retirement sustainability modeling [Block Bootstrap Monte Carlo], max drawdown/CVaR dashboards, and risk-return optimisation [Markowitz, Ledoit-Wolf] via an intuitive user interface.
Automated trading system for NOPE strategy over IBKR TWS
Python wrapper for Yahoo! Finance API.
Market-making strategy that placed #2 in Paradigm's Prediction Market Challenge. 110 iterations, 8 hours.
AI-powered trading research platform. Test any idea on stocks, futures, and crypto with event studies, backtesting, and statistical validation. MCP server with 8 tools. pip install varrd.
AI-powered trading research platform. Test any idea on stocks, futures, and crypto with event studies, backtesting, and statistical validation. MCP server with 8 tools. pip install varrd.
Fast Risks with QuantLib in Python
Python client for Federal Reserve Bank of St. Louis API - FRED, ALFRED, GeoFRED and FRASER
High-Performance Automatic Differentiation for Python
MCP server for Chart Library — visual chart pattern search engine. Find similar historical stock charts and see what happened next.
Skill-as-API: P2P agent collaboration over XMTP. Call remote skills without exposing code. E2E encrypted, revocable trust, async delegation. Zero deps.
Official CoinPaprika API Python client — coin prices, OHLCV, exchanges, and global market stats.
Systematic options trading intelligence for small accounts. Create desks in your portfolio, allocate capital and risk appetite at Desk Level. Every trade generated by system is specific for the desk keeping in mind capital allocation, risk limits, position sizing