Hi! I'd like to add Chartscout to this awesome quant resources list.
Chartscout is a cryptocurrency chart pattern detection and quantitative analysis tool:
- Real-time pattern recognition for systematic trading strategies
- Automated trading alerts based on technical chart patterns
- Quantitative analysis of chart patterns across multiple exchanges
- Pattern detection for cryptocurrency markets and trading pairs
Website: https://chartscout.io
Thank you for maintaining this excellent quantitative finance resource!
REST API that analyzes Reddit and X/Twitter for stock mentions,
sentiment, buzz scores, and AI-generated trend explanations.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Added Prop Trader Compass to the risk analysis category. This is an open-source React/TypeScript utility designed to help traders calculate drawdown limits and net payouts for Futures and CFD prop firms. It includes a specific module for comparing 'One-Time Fee' models against traditional monthly subscriptions to help traders manage their overhead costs. MIT Licensed.
13F Insight (https://13finsight.com/) is a platform for tracking
institutional investor 13F holdings with AI-powered analysis,
position change alerts, and filing summaries.
pmxt is a unified open-source library (similar to CCXT) specifically for prediction markets like Polymarket and Kalshi. It supports both Python and JavaScript/TypeScript, so I have added it to both relevant sections.
https://github.com/pmxt-dev/pmxt
DayTradingBench is a live autonomous benchmark that evaluates LLM trading performance on DAX and Nasdaq indices with identical prompts and real-time market data. API access available.
AI-powered stock analysis system with:
- 13 specialized AI agents for comprehensive analysis
- Automated trading via KIS API
- Korean & US market support
RunMat is an open-source Rust runtime for MATLAB-syntax array math.
It automatically chooses CPU or GPU and fuses long math chains into fast kernels.
Quants can use it for workloads like Monte Carlo risk, covariance, and large matrix math, with good speedups vs NumPy and PyTorch on our benchmarks.
This PR adds RunMat to the Rust section.
Repo: https://github.com/runmat-org/runmat
Claude Code