DUCKQUANT / THE QUANT & AI DIRECTORY
2,336 resources, ranked by in-directory PageRank
Structured access to income statements, balance sheets, cash flows, stock prices, and market news via the Financial Datasets API
Official Alpaca MCP server: natural-language trading of US stocks, ETFs, options, and crypto
Yahoo Finance MCP: stock quotes, financials, options chains, and market news
OSS trading workspace with agents
AI-driven financial data and analytics platform turning filings, news and market text into structured signals.
S&P Global's analytics and NLP platform turning unstructured news and events into structured datasets.
Next-day prediction intervals and position caps rather than buy/sell calls; out-of-sample breach rates 5.1% / 1.1% against nominal 5% / 1%.
For a running application of that question, see — daily regime labels, volatility alerts, and next-day risk intervals across 30 cross-asset tickers
Graduate-level course on quantitative trading strategy design and implementation
Directory of Python packages and resources for algo-trading
Note: These are reading notes summarizing Li-Xin Wang's three-part paper series Dynamical Models of Stock Prices Based on Technical Trading Rules — , ,…
Learn how Markov-switching models offer a powerful tool for capturing the real-world behavior of time series data in this introductory blog.
Open-source, high-performance Ethereum MEV-Boost block builder written in Rust; supports multiple building algorithms and backtesting
Reference implementation of proposer-builder separation (PBS) for Ethereum; core infrastructure for the MEV supply chain
Note: These are chapter-by-chapter reading notes on the PhD thesis by Piotr Pomorski (UCL, 2024) — a summary of the thesis's arguments and results,…
On-chain DEX analytics. Free tier works without a key and is served with a short delay; a free key opens streaming; real-time is paid
Transformer-based diffusion engine for limit order book simulation; generates realistic order flows conditioned on market state
Curated list of deep learning tutorials, projects, and communities
Li-Xin Wang, , arXiv:1401.1892
Li-Xin Wang, , arXiv:1401.1891
Comprehensive book list from PyQuant Newsletter
Long-running quantitative finance community with deep technical discussions.
Turning points cluster on high-volatility days across 62 ETFs and 7 indices; an alert makes a turn within two weeks roughly 1.5-2x more likely,…
Conference covering algorithmic trading, market structure, and fintech innovation.
Days labeled Uptrend / Range / Downtrend from the full price path, then a strictly causal model is scored on how much it recovers…
Local-first, read-only trading journal and review harness that freezes agent or CLI runs into evidence packs with deterministic replay and delayed D1/D3…
Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python [Stefan Jansen] on…
Public repository by marras0914. Primary language: TypeScript.
Run predictions inside the database
Free AI Stock Reports Delivered Daily — Wall Street-grade analysis for US, China & HK stocks. 100% free.
Open source math and physics engine that executes MATLAB-syntax code. Features a modern compiler, automatic GPU acceleration for large calculations, and support for math…
Daily foreign investor flows for all 2,555 KOSPI/KOSDAQ stocks and all 44 KRX sector indices — in English, CC BY 4.0, updated every trading…
VeroQ Python SDK — the verified intelligence layer for AI agents.
This is not just another book with yet another trading system. This is a complete guide to developing your own systems to help you…
We propose a new latent factor conditional asset pricing model, which delivers out-of-sample pricing errors that are far smaller (and generally insignificant) compared to…
Statistician Hacker & Data Scientist. cerlymarco has 6 repositories available. Follow their code on GitHub.
