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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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EDINET XBRL parsing library and MCP server for Japanese financial data
No description.
A Python package for PME (Public Market Equivalent) calculation
Official DexPaprika Python SDK: Pythonic access to cross-chain DEX data, prices, and pools with type hints and caching.
Python client library to give traders, quants, and analysts access to forex macroeconomic data via the FXMacroData API.
Rapidly queries Yahoo Finance for multiple tickers and returns typed data for analysis
Financial information API for Python.
Terminal ETF research & portfolio analytics via SEC EDGAR and IBKR
Contingency Random Number Generator — numbers with controllable fat tails, volatility clustering, and scale convergence
High-fidelity synthetic financial data generator using Heston Stochastic Volatility and Jump Diffusion.
e-Stat API client and MCP server for Japanese government statistics (政府統計の総合窓口)
Automatic discovery of non-trivial statistical truths from 500+ public time series — mutual information, Granger causality, FDR correction
Financial Market Intelligence MCP Server — stock quotes, technical analysis, crypto data, and portfolio insights for AI agents
Python SDK for the FlashAlpha options analytics API — live options screener, gamma exposure (GEX), DEX/VEX/CHEX, options flow, 0DTE, VRP, volatility surfaces, greeks
Trading terminal for macOS. Scans 3 370 symbols across 12 timeframes to surface what's moving together. Tauri + Python + React. Open source, runs on your machine.
No description.
Demo code for direct Black-Scholes implied-volatility calculation from normalized call prices via the inverse-Gaussian quantile representation.
MCP server for TDNET timely disclosures (適時開示) — earnings, dividends, M&A, buybacks from Tokyo Stock Exchange
Cent-accurate mortgage amortization schedules for Python — validated against CFPB, Fannie Mae, textbooks, and real-world published examples.
REST API for real-time prediction market arbitrage detection. Scans 12,000+ Polymarket markets. Free tier available. Built with FastAPI + Python.
Local-first backtesting engine with built-in overfitting detection. Asset-class agnostic. MCP-native.
Realistic limit-order fill simulator for options credit/debit spreads. Engine-agnostic, data-source-agnostic.
Simple Python SDK for the CoinPulse crypto portfolio API. No OAuth, no complex setup.
Tracker for U.S. public-company equity stakes in Anthropic and OpenAI. Built from primary SEC filings, court records, and press releases. Each row confidence-tagged (V/P/S).
Distributional crypto-return forecasting via Wasserstein-geodesic extrapolation in quantile-function space. WGeo family wins 12/12 (asset × horizon) cells over 6.75y walk-forward CRPS vs GARCH and classical baselines. v0.4.
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.
Yahoo! YQL library.
Official Python SDK for source-timestamped OilPriceAPI energy data with typed recovery and executable capability metadata
Easy to use Bloomberg Desktop API wrapper in Python
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.
Async Python connector for Binance SPOT FIX testing, latency research, and feed/session comparison
Python client for the FilingFirehose SEC EDGAR API — body-text-parsed 8-Ks, activist 13Ds, ATM offerings.
VEROQ Python SDK — verified intelligence for AI agents. The truth protocol for agentic AI.