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Etfs Python Packages

Python packages with the GitHub topic etfs. Sorted by monthly downloads, with stars and forks.
alpacahq
alpaca-mcp-server

Alpaca’s official MCP Server lets you trade stocks, ETFs, crypto, and options, run data analysis, and build strategies in plain English directly from your favorite LLM tools and IDEs

44K 1K 335
JerBouma
financedatabase

This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.

23K 9K 977
dfdezdom
investdaytip

Multi-factor scoring and research tool for long-term stocks & ETFs — US, European, Asian and superinvestor-consensus (SEC 13F) universes from public market data. Decision support, not investment advice.

7K 27 2
jadchaar
sec-cik-mapper

🗺 Generate mappings between SEC identifiers using Python

6K 74 13
JECSand
yahoofinancials

A powerful financial data module used for pulling data from Yahoo Finance. This module can pull fundamental and technical data for stocks, indexes, currencies, cryptos, ETFs, Mutual Funds, U.S. Treasuries, and commodity futures.

4K 976 218
jadchaar
sec-edgar-api

🗺 Generate mappings between SEC identifiers using Python

3K 74 13
karanbh01
py-beacon-kit

python package for index & ETFs strategy development, backtesting and analysis

3K 0 2
JerBouma
thepassiveinvestor

Passive Investing for the Average Joe

855 619 73
lvxhnat
pyetfdb-scraper

Scrape ETF data for free - the unofficial python wrapper for ETFDB

601 70 8
bbalouki
itchfeed

Nasdaq TotalView-ITCH 5.0 Parser

343 12 2
Mwsurjith
niftyterminal

[Actively Maintained] Get all Index, Stock, ETF & Commodity data from NSE India website

332 2 2
alpacahq
iflow-mcp-alpacahq-alpaca-mcp-server

Alpaca’s official MCP Server lets you trade stocks, ETFs, crypto, and options, run data analysis, and build strategies in plain English directly from your favorite LLM tools and IDEs

224 1K 335
fja05680
pinkfish

A backtester and spreadsheet library for stocks and ETFs

104 307 63
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology