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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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Local-first backtesting engine with built-in overfitting detection. Asset-class agnostic. MCP-native.
Detects structural waste in cloud billing exports (AWS/GCP/Azure) using rolling-median + MAD, robust to the masking effect that breaks mean+stddev anomaly detection. Python library, CLI, FastAPI service, and GitHub Action.
Python package for Swiss financial data
Cent-accurate mortgage amortization schedules for Python — validated against CFPB, Fannie Mae, textbooks, and real-world published examples.
Realistic limit-order fill simulator for options credit/debit spreads. Engine-agnostic, data-source-agnostic.
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.
Official Python SDK for source-timestamped OilPriceAPI energy data with typed recovery and executable capability metadata
Simple Python SDK for the CoinPulse crypto portfolio API. No OAuth, no complex setup.
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.