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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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YQL-finance is a simple and fast Python API https://developer.yahoo.com/yql/console/. The API returns closing prices of stocks for the current period of time and current stock ticker (e.g. APPL, GOOGL). Stock prices: NASDAQ, SP&500, DAX, etc.
The first end-to-end C++20 implementation of special-relativistic geometry applied to financial OHLCV data. Computes Lorentz factors, spacetime intervals, Christoffel symbols, and geodesic deviation signals from live market data.
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
Official DexPaprika Python SDK: Pythonic access to cross-chain DEX data, prices, and pools with type hints and caching.
Rapidly queries Yahoo Finance for multiple tickers and returns typed data for analysis
Financial information API for Python.
Python client library to give traders, quants, and analysts access to forex macroeconomic data via the FXMacroData API.
63 deterministic quant computation tools for autonomous financial agents. Options, derivatives, risk, portfolio, statistics, crypto/DeFi, macro/FX, TVM. 1,000 free calls/day — no signup.
BTC order book microstructure analysis: OBI, CVD, and spread statistics from 38 days of Binance data
No description.
Financial Market Intelligence MCP Server — stock quotes, technical analysis, crypto data, and portfolio insights for AI agents
Demo code for direct Black-Scholes implied-volatility calculation from normalized call prices via the inverse-Gaussian quantile representation.
No description.
Python package for Swiss financial data
REST API for real-time prediction market arbitrage detection. Scans 12,000+ Polymarket markets. Free tier available. Built with FastAPI + Python.
Yahoo! YQL library.
Easy to use Bloomberg Desktop API wrapper in Python
Simple Python SDK for the CoinPulse crypto portfolio API. No OAuth, no complex setup.
A high-performance execution engine utilizing LLVM-based JIT compilation to optimize mission-critical data processing. Engineered to handle high-throughput financial transactions and real-time infrastructure analysis.
Official MCP server for Horus Flow Intelligence: Institutional-grade market microstructure and orderflow physics for AI trading agents.
Sextant is a local Python Financial Backtest app with a Streamlit interface. The core is a strict bar-by-bar event loop (MarketEvent → SignalEvent → OrderEvent → FillEvent) — fully deterministic, with a complete JSON audit trail of every event.
No description.