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Stock Analysis Python Packages

Python packages with the GitHub topic stock-analysis. Sorted by monthly downloads, with stars and forks.
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
eddmpython
dartlab

Korean DART + SEC EDGAR filings as structured Python data for company analysis

5K 223 44
ljftwq-dev
revenue-model-builder

Bottom-up driver-based revenue forecasting: base × penetration × share × price, with structural residual alignment, A/B/C data grading, Monte Carlo + tornado sensitivity, and annual-report segment extraction. Pure Python stdlib.

4K 7 1
Weaxs
stock-analysis-plugin

Multi-market stock analysis, screening & backtesting plugin for AI agents — 39 tools + 20 strategy skills across A/HK/US/JP/KR/TW markets, works with Pi Agent, Hermes, OpenClaw & Deepseek Harness

3K 29 7
mag1cfrog
timeseries-table-format

Rust-native time-series table format with gap/overlap tracking and SQL queries

2K 17 1
haiyunsky
hpsilab-quant-finance-mcp

Quant finance MCP server for stock analysis, options analytics, implied volatility, Monte Carlo simulation, AI prediction, and backtesting.

2K 1 0
facioquo
stock-indicators

Stock Indicators for Python. Maintained by @LeeDongGeon1996

2K 402 63
gregorykelleher
equity-aggregator

Financial toolkit that aggregates global equity listings and enriches them with third-party market data, producing a canonical longitudinal dataset indexed by unique OpenFIGI identifiers.

1K 2 0
axionquant
axionquant-sdk

Official Python SDK for the AxionQuant financial data API. Unified access to stock, ETF, forex, futures, and crypto market data plus fundamentals, SEC filings, earnings, credit ratings, ESG, supply chain, sentiment, and web traffic data. pip install axionquant-sdk

1K 0 0
PatzEdi
stockstir

Easily gather stock data of any company in any of your Python projects

812 58 5
piklen
manmankan

A 股本地数据筛选器:自选/行业/题材/全市场 → CLI + AI-readable JSON · 告诉你坐标,不替你决策

768 5 0
agentpit-io
kronos-mcp

HunterCode · Community Edition · 腾讯 WorkBuddy 金融版的开源本地替代方案 · open-source, local alternative to Tencent WorkBuddy Finance Edition · 多智能体投研终端 A股/港股/美股 · 推理在你机器上跑 · 仓位不出你硬盘 · BYOK · Apache 2.0 · docker compose 自托管

760 582 79
agentpit-io
agentpit-akshare-mcp

HunterCode · Community Edition · 腾讯 WorkBuddy 金融版的开源本地替代方案 · open-source, local alternative to Tencent WorkBuddy Finance Edition · 多智能体投研终端 A股/港股/美股 · 推理在你机器上跑 · 仓位不出你硬盘 · BYOK · Apache 2.0 · docker compose 自托管

747 582 79
doubletrends
alphaverify

AlphaVerify: Put an end to all that "technical indicators" bullshit.

526 0 0
agentpit-io
truesource-mcp

HunterCode · Community Edition · 腾讯 WorkBuddy 金融版的开源本地替代方案 · open-source, local alternative to Tencent WorkBuddy Finance Edition · 多智能体投研终端 A股/港股/美股 · 推理在你机器上跑 · 仓位不出你硬盘 · BYOK · Apache 2.0 · docker compose 自托管

524 582 79
StephanAkkerman
stock-recognizer

Recognize stock tickers and company names in social media posts

512 1 0
Bhard27
stockerdataframe

A python package for better analysis of the Stock Market.

345 9 1
Johnhyeon
naver-stock-mcp

네이버 증권 데이터를 Claude에서 바로 조회할 수 있는 MCP 서버 - 한국 주식 차트, 수급, 재무지표를 자연어로 분석

305 1 0
9inoxx
deltau

A backtesting and performance analysis package

304 1 0
charlesdong1991
stockinsider

A Python tool to collect, analyze and visualize trading indicators for stocks

250 92 24
alvarobartt
trendet

:chart_with_upwards_trend: Python package for trend detection on stock time series data :chart_with_downwards_trend:

210 491 80
dalenguyen
stockai

Stock prediction with Machine Learning (Ongoing Project)

206 19 7
metalcorebear
markowitzify

Markowitzify will implement a variety of portfolio and stock/cryptocurrency analysis methods to optimize portfolios or trading strategies. The two primary classes are "portfolio" and "stonks."

162 39 12
lucaswychan
neuralstockprophet

LSTM-ARIMA with attention mechanism and multiplicative decomposition for sophisticated stock forecasting.

156 5 2
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
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