DUCKQUANT / THE QUANT & AI DIRECTORY
4,091 resources, ranked by in-directory PageRank
Eleven ways SEC filing data lied to me, each with the bug report that found it. No dependencies.
MCP server for the Filingrail SEC EDGAR API — company financials, insider trades, 8-K events, 13F holdings, and filings for Claude Desktop, Cursor, Continue,…
MCP server for SECfinAPI — standardized SEC EDGAR financial data (income statements, balance sheets, cash flow, 40+ ratios) for Claude, Cursor and other AI…
Open, reproducible benchmarks for crypto infrastructure: aggregators, bridges, blockchains, perps. Live data, public methodology.
A Model Context Protocol (MCP) server for financial news and SEC Form 4 insider trading data. Every story carries a 1-10 relevance score, per-ticker…
Live and historical market data for: Stocks, FX, crypto, commodities, indices and ETFs over WebSocket and REST.
The EarningsCall Python library provides convenient access to the EarningsCall API.
Public tooling for the Factor Weave quant-factor data API — Python SDK (pip install factorweave) + Google Sheets add-on + integration recipes.
Official Python client for the finlight.me financial news API
Python client for 0xArchive: granular market data for Hyperliquid (perps, HIP-3, HIP-4, Spot) and Lighter.
Free, open-source Shingou sentiment integrations for trading platforms and bot frameworks — Freqtrade, Jesse, more coming
Official Wealthville connectors: MCP server + Solana Agent Kit + ElizaOS plugins for LP pool scores (Enter/Hold/Exit, 0-100) with a public miss-inclusive track record
Measured market statistics over MCP — remote server at https://api.quantdata.uk/mcp, no API key needed to try. Day-type probabilities, Weis volume waves, options max pain,…
VC Deal Flow Signal - Track 350+ startups across 15 sectors using GitHub engineering velocity data. Open methodology, live dashboard, MCP server.
R package for fitting and analysing factor models used in portfolio and risk research.
Public repository by EARNOVAGAMING. Primary language: Python.
High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
Azure Data Studio is a data management and development tool with connectivity to popular cloud and on-premises databases. Azure Data Studio supports Windows…
Cal-Heatmap is a javascript charting library to create a time-series calendar heatmap
The machine learning toolkit for time series analysis in Python
IBM Fully Homomorphic Encryption Toolkit For Linux. This toolkit is a Linux based Docker container that demonstrates computing on encrypted data without…
Time Series Benchmark Suite, a tool for comparing and evaluating databases for time series data
Download all companies periodic reports, filings and forms from EDGAR database.
Database security suite. Database proxy with field-level encryption, search through encrypted data, SQL injections prevention, intrusion detection, honeypots.…
A Anti-DDoS script to protect Nginx web servers using Lua with a HTML Javascript based authentication puzzle inspired by Cloudflare I am under attack…
Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
dj-stripe automatically syncs your Stripe Data to your local database as pre-implemented Django Models allowing you to use the Django ORM, in your code,…
Python for Finance (O'Reilly)
Time Series data structure for Redis
KillrWeather is a reference application (work in progress) showing how to easily integrate streaming and batch data processing with Apache Spark Streaming…
Developing Options Trading Strategies using Technical Indicators and Quantitative Methods
clock7: A curated list of awesome time series databases, benchmarks and papers
Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation
Code coverage tool for compiled programs, Python and Bash which uses debugging information to collect and report data without special compilation options
Luminaire is a python package that provides ML driven solutions for monitoring time series data.
a collection of open source server components and Python libraries for financial data projects and automated trading
