Claude Code plugin for EODHD financial data — 150k+ tickers, 70+ exchanges, OAuth MCP server with 80 tools, 7 workflow skills, financial-analyst agent, 5 slash commands. MIT.
AI-powered fundamental analysis platform. TimescaleDB, CrewAI agents, portfolio optimization, pair trading, and automated alpha extraction.
Comprehensive Go client library for EODHD Financial API. Access end-of-day historical data, intraday prices, fundamental company data, financial statements, dividends, and splits for stocks, ETFs, mutual funds, and indices worldwide. Type-safe, 88.5% test coverage, zero dependencies, production-ready.
This repository provides a set of Python scripts to simplify fetching and processing fundamental stock market data using the [EODHD API](https://eodhistoricaldata.com/).
Finance Data Downloader is a Python project that downloads data from various sources such as Federal Reserve Economic Data, Yahoo Finance, SplitHistory, iShares, Eurekahedge, EODHD, and more. It provides a flexible and configurable data downloading system that can be scheduled or run manually.
Claude AI Skill для аналізу інвестицій методом 6 капелюхів (українська адаптація)
Reconcile company fundamentals from EODHD and FMP into one schema and see exactly where the two vendors disagree. Hand-curated 71-field mapping, configurable vendor priority, and a Streamlit dashboard.
Reproducible open pipeline for publication-grade global equity data — survivorship-bias-free, point-in-time, identity-resolved. Bring your own API key.
A dynamic stock & ETF portfolio tracker in Google Sheets. It uses Google Apps Script and the EODHD API for real-time data, performance analysis, and value simulation. The goal is to simplify personal investment tracking through powerful automation and visualization.
ETL pipelines for retrieving data from EODHD.
EODHD MCP — wraps EOD Historical Data (eodhd.com)
Portfolio tracker en React que usa la API de EODHD para calcular rentabilidad, diversificacion, riesgo, drawdown, correlaciones y sectores de tu cartera de acciones.
A Python 3 algorithmic trading system with live market data ingestion, strategy backtesting, signal generation, and broker API integration. Built for traders who want full-stack automation from data to execution.
Investments optimizer that simulates past transactions and features a rule-based trading assistant for tax-loss harvesting. Includes an AI-powered assistant for financial news and market sentiment analysis.
Add stock charts to your Blazor applications using the end-of-day market data from the EODHD API and the Syncfusion Stock Chart component.
Interactive data-operations shell for market data: download, refresh, quality-check, and explore raw EODHD/FRED snapshots over DuckDB - with an optional grounded LLM data-lab.
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