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@@ -106,6 +106,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
- [NowTrade](https://github.com/edouardpoitras/NowTrade) - Python library for backtesting technical/mechanical strategies in the stock and currency markets.
- [pinkfish](https://github.com/fja05680/pinkfish) - A backtester and spreadsheet library for security analysis.
- [PRISM-INSIGHT](https://github.com/dragon1086/prism-insight) - AI-powered stock analysis system with 13 specialized agents, automated trading via KIS API, supporting Korean & US markets.
- [FinClaw](https://github.com/NeuZhou/finclaw) - AI-powered financial intelligence engine with 8 master strategies across US, CN, and HK markets. Multi-agent architecture with +29.1% annual alpha. 227 tests.
- [aat](https://github.com/timkpaine/aat) - Async Algorithmic Trading Engine
- [Backtesting.py](https://kernc.github.io/backtesting.py/) - Backtest trading strategies in Python
- [catalyst](https://github.com/enigmampc/catalyst) - An Algorithmic Trading Library for Crypto-Assets in Python
@@ -156,6 +157,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
- [QTradeX-Algo-Trading-SDK](https://github.com/squidKid-deluxe/QTradeX-Algo-Trading-SDK) - AI-powered SDK featuring algorithmic trading, backtesting, deployment on 100+ exchanges, and multiple optimization engines.
- [antback](https://github.com/ts-kontakt/antback) - A lightweight, event-loop-style backtest engine that allows a function-driven imperative style using efficient stateful helper functions and data containers.
- [VARRD](https://github.com/augiemazza/varrd) - AI-powered trading edge discovery platform that validates trading ideas with event studies, statistical tests, and real market data. Web app, MCP server, CLI (`pip install varrd`), and Python SDK.
- [polymarket-whales](https://github.com/al1enjesus/polymarket-whales) - Real-time whale trade tracker for Polymarket — terminal alerts + Telegram notifications when large orders hit the book.
### Risk Analysis
@@ -624,11 +626,17 @@ date conversion, scaling factor values, and filtering by the specified date.
- [13F Insight](https://13finsight.com/) - Track institutional investor 13F holdings with AI-powered analysis, position change alerts, and filing summaries.
- [Earnings Feed](https://earningsfeed.com/api) - Real-time SEC filings, insider trades, and institutional holdings API.
- [Financial Data](https://financialdata.net/) - Stock Market and Financial Data API.
- [Frostbyte](https://agent-gateway-kappa.vercel.app) - Real-time crypto prices for 500+ tokens via REST API with free tier, DeFi swap routing and portfolio tracking.
- [SaxoOpenAPI](https://www.developer.saxo/) - Saxo Bank financial data API.
- [RTPR](https://rtpr.io) - Real-time press release API delivering news from Business Wire, PR Newswire, and GlobeNewswire with sub-500ms latency. REST and WebSocket APIs for financial applications. Python and Node.js SDKs available.
- [Nasdaq Data Link](https://data.nasdaq.com/tools/full-list) - Financial data API with support for R, Python, Excel, Ruby, and many other languages (formerly Quandl).
- [Reddit WallstreetBets API](https://dashboard.nbshare.io/apps/reddit/api/) - Provides daily top 50 stocks from reddit (subreddit) Wallstreetbets and their sentiments via the API.
- [Parsec](https://parsecfinance.com) - Prediction market API with Python SDK for normalized data and execution across 5 prediction market exchanges. Free tier: 10K requests/month.
- [Portfolio Optimizer](https://portfoliooptimizer.io/) - Portfolio Optimizer is a Web API for portfolio analysis and optimization.
- [Reddit WallstreetBets API](https://dashboard.nbshare.io/apps/reddit/api/) - Provides daily top 50 stocks from reddit (subreddit) Wallstreetbets and their sentiments via the API.
- [System R](https://agents.systemr.ai) - AI-native risk intelligence API for trading agents. Position sizing, risk validation, and system health in one call.
- [Telonex](https://telonex.io) - Tick-level prediction market data (trades, quotes, orderbooks, on-chain fills) via REST API and Python SDK.
- [ValueRay](https://www.valueray.com/api) - Technical, quantitative and sentiment data for stocks and ETFs with risk metrics, peer percentiles and market regime signals. Optimized for AI/LLM agents.
- [VertData](https://vertdata.com) - Institutional-grade financial intelligence platform. Track 43K+ congressional trades (STOCK Act), SEC insider Form 4 filings, 25 superinvestor 13F portfolios, CFTC futures positioning, ARK ETF holdings, and short interest — all scored by AI for signal strength.
- [KeepRule](https://keeprule.com/) - Curated library of decision-making principles and investment wisdom from masters like Buffett and Munger, featuring mental models for better investment thinking.
- [ML-Quant](https://www.ml-quant.com/) - Top Quant resources like ArXiv (sanity), SSRN, RePec, Journals, Podcasts, Videos, and Blogs.