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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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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.
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).
Official MCP server for Horus Flow Intelligence: Institutional-grade market microstructure and orderflow physics for AI trading agents.
Python client for the FilingFirehose SEC EDGAR API — body-text-parsed 8-Ks, activist 13Ds, ATM offerings.
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.