python package to get financial data from Morningstar
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Updated
Mar 27, 2026 - Python
python package to get financial data from Morningstar
A Benchmark Dataset for Multimodal Scientific Fact Checking
DQN stock-trading agent with a custom Gymnasium environment and yfinance data.
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.
Multi-task Deep Learning model for predicting key business performance indicators (KPIs) from tabular financial/accounting data.
Unofficial MCP server for AKSes KSEI (akses.ksei.co.id) portfolio data
Corona COVID-19 Dataset
finasys: Fast financial data processing, feature engineering & AI agent toolkit
A library for downloading historial cryptocurrency data from the Binance API
Comprehensive multi-frequency G20 financial dataset covering 1980-2025 (200K+ data points)
Downloads specified annual report 10K filings from the SEC's Edgar database.
Hybrid machine learning–based stock market prediction system using Random Forest regression and classification with multi-horizon (1-day, 7-day, 30-day) trend forecasting and a Streamlit web dashboard.
Daily-updated stock symbols and OHLCV bars for CN, HK, and US markets, powered by GitHub Actions.
📊 Simplify financial calculations with FinTools, a Python library for compound interest, yield analysis, and investment return assessments.
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