@yfinance
Widely used Python library for downloading Yahoo Finance data, including historical prices, dividends, splits, financials, options, and ticker metadata.
yfinance — @yfinance ↗github.com
Montealgos · 29 curated resources
This collection brings together open-source libraries, APIs, datasets, and curated directories for sourcing market data across equities, cryptocurrencies, forex, options, and commodities. Use these resources to build data pipelines, conduct research, and prepare historical data for backtesting; check each provider's coverage, update frequency, usage limits, and licensing before relying on it.
Directory
Widely used Python library for downloading Yahoo Finance data, including historical prices, dividends, splits, financials, options, and ticker metadata.
yfinance — @yfinance ↗github.com
Python library for collecting historical cryptocurrency market data from major exchanges, designed for researchers and developers building crypto datasets.
cryptoCMD — @cryptoCMD ↗github.com
Python library for retrieving Indian stock-market data from the National Stock Exchange, including historical prices, indices, derivatives, and fundamental information.
nsepy — @nsepy ↗github.com
Official Node.js client for Tardis.dev, enabling developers to access historical and real-time crypto market data, order books, trades, and derivatives information.
tardis-node — @tardis-node ↗github.com
Open-source tool for maintaining end-of-day stock-market databases, downloading and updating price data for backtesting and investment research.
eod2 — @eod2 ↗github.com
Creative open-source project visualizing Bitcoin market data using ASCII art, combining cryptocurrency data with terminal-based graphical representations.
Bitcoin ASCII — @Bitcoin ASCII ↗github.com
Companion data repository for eod2, containing end-of-day stock-market datasets and supporting files for historical analysis and backtesting.
eod2_data — @eod2_data ↗github.com
Open dataset of historical oil prices, useful for economic research, commodity analysis, time-series modeling, and energy-market visualization.
Open dataset tracking the CBOE Volatility Index (VIX), commonly used for volatility research, risk modeling, and market-sentiment analysis.
Open dataset containing historical S&P 500 data, suitable for index research, long-term performance analysis, and financial time-series modeling.
S&P 500 Dataset — @S&P 500 Dataset ↗github.com
Open dataset of historical gold prices, useful for commodity research, macroeconomic analysis, portfolio studies, and time-series forecasting.
Curated list of high-quality datasets across many domains, including finance, economics, government, science, and machine learning resources.
Awesome Data — @Awesome Data ↗github.com
Open-source project for collecting and storing financial tick data, designed to help developers build local historical market-data archives.
TickVault — @TickVault ↗github.com
Open-source financial database providing structured information on equities, ETFs, funds, indices, currencies, cryptocurrencies, and other financial instruments.
FinanceDatabase — @FinanceDatabase ↗github.com
Tool for downloading historical Binance cryptocurrency market data, including klines and trading information, for research and backtesting.
Open-source financial API project offering stock-market data and developer tools for accessing quotes, fundamentals, and related financial information.
DefeatBeta API — @DefeatBeta API ↗github.com
Open dataset of historical U.S. dollar exchange rates, useful for currency analysis, macroeconomic research, and foreign-exchange modeling.
USD Exchange Rates Dataset — @USD Exchange Rates Dataset ↗github.com
Node.js library for accessing Yahoo Finance data, supporting quotes, historical prices, search, options, and other financial-market information.
Node.js client for Dukascopy historical forex and CFD data, enabling programmatic downloads of tick and candlestick market data.
dukascopy-node — @dukascopy-node ↗github.com
Curated collection of cryptocurrency APIs, data providers, tools, and resources for developers building crypto applications and analytics platforms.
Official Python client for ThetaData, providing access to options and equities market data, including historical quotes, trades, and streaming feeds.
ThetaData Python — @ThetaData Python ↗github.com
Model Context Protocol server for retrieving stock quotes, enabling AI assistants and applications to access current market-price information.
StockQuotes MCP — @StockQuotes MCP ↗github.com
Unofficial API for Investing.com data, allowing users to retrieve market quotes, historical prices, and financial information for research purposes.
investing-com-api — @investing-com-api ↗github.com
Large curated repository of publicly available datasets across finance, government, health, science, transportation, and many other domains.
Awesome Public Datasets — @Awesome Public Datasets ↗github.com
Financial news and stock-price dataset combining news articles with market data, designed for sentiment analysis, forecasting, and financial NLP research.
FNSPID Dataset — @FNSPID Dataset ↗github.com
Tutorial repository accompanying a trading-bot build project, demonstrating data collection, strategy logic, and basic algorithmic-trading concepts.
Trading Bot Tutorial — @Watch Me Build a Trading Bot ↗github.com
Open-source tool for fetching historical financial market data, helping users download and organize price series for analysis or backtesting.
Historical Data Fetcher — @Historical Data Fetcher ↗github.com
Section of the Public APIs repository listing free and open financial APIs for stocks, cryptocurrencies, banking, payments, and market data.
Open-source SDK providing programmatic access to stock-market data, designed to simplify integration of quotes and financial information into applications.
stock-sdk — @stock-sdk ↗github.com
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This directory is an independent editorial selection. Montealgos is not affiliated with the sites listed, receives no compensation from them, and does not endorse their products, services or performance claims. Descriptions reflect each site at the time of review and may have changed since. Nothing on this page is investment advice.
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