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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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A Python package for PME (Public Market Equivalent) calculation
EDINET XBRL parsing library and MCP server for Japanese financial 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.
High-fidelity synthetic financial data generator using Heston Stochastic Volatility and Jump Diffusion.
Contingency Random Number Generator — numbers with controllable fat tails, volatility clustering, and scale convergence
Automatic discovery of non-trivial statistical truths from 500+ public time series — mutual information, Granger causality, FDR correction
e-Stat API client and MCP server for Japanese government statistics (政府統計の総合窓口)
Financial Market Intelligence MCP Server — stock quotes, technical analysis, crypto data, and portfolio insights for AI agents
MCP server for TDNET timely disclosures (適時開示) — earnings, dividends, M&A, buybacks from Tokyo Stock Exchange
Python package for Swiss financial data
Python SDK for the FlashAlpha options analytics API — live options screener, gamma exposure (GEX), DEX/VEX/CHEX, options flow, 0DTE, VRP, volatility surfaces, greeks
Cent-accurate mortgage amortization schedules for Python — validated against CFPB, Fannie Mae, textbooks, and real-world published examples.
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.
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.
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.
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
Official Python SDK for OilPriceAPI - Real-time and historical oil, gas, and energy commodity price data
VEROQ Python SDK — verified intelligence for AI agents. The truth protocol for agentic AI.