Topics / #stock-analysis
Stock-analysis projects on GitHub
Analyzing stock prices, fundamentals, and market data.
As of , the most-starred Stock-analysis projects on GitHub are akshare (23K stars), ai-berkshire (16.8K stars) and tushare (15.4K stars). GitHub.Locker tracks 9 Stock-analysis repositories with 82.9K stars combined. The fastest-growing on October 17 was tick-stock-panel, with +27 stars in a day.
Hot right now
Most stars gained in a day · Oct 17
+27tick-stock-panel
shy3130/tick-stock-panel · ★ 6KTSP is a self-hosted, zero-ops quantitative trading workbench for China's A-share stock market that combines stock screening, real-time anomaly monitoring, and strategy backtesting, with optional LLM-assisted analysis.
+17easy-stock
jundizhou/easy-stock · ★ 1.5Keasy-stock is an AI-native desktop research workbench for China's A-share market: it aggregates real-time quotes, sector/limit-up data and influencer commentary, then uses AI agents to produce stock analysis, portfolio inspections and after-market reviews for individual investors.
+16akshare
akfamily/akshare · ★ 23KAKShare is a free, open-source Python library that wraps a large set of financial data interfaces behind simple function calls - one line of code is enough to fetch a dataset.
+16ai-berkshire
xbtlin/ai-berkshire · ★ 16.8KAI Berkshire is a skill collection for Claude Code and Codex that turns an AI agent into a value-investing research team, structuring Warren Buffett, Charlie Munger, Duan Yongping and Li Lu's methodologies into deep company research, earnings analysis, industry screening and portfolio-management skills.
The all-time top
9 projects · by stars
- 23K
#1 · akfamily/akshareakshare
AKShare is a free, open-source Python library that wraps a large set of financial data interfaces behind simple function calls - one line of code is enough to fetch a dataset.
- 16.8K
#2 · xbtlin/ai-berkshireai-berkshire
AI Berkshire is a skill collection for Claude Code and Codex that turns an AI agent into a value-investing research team, structuring Warren Buffett, Charlie Munger, Duan Yongping and Li Lu's methodologies into deep company research, earnings analysis, industry screening and portfolio-management skills.
- 15.4K
#3 · waditu/tusharetushare
TuShare is a Python utility for crawling, cleaning and storing historical and realtime data for China's stock and futures markets, built for quant analysts and anyone learning data analysis.
- 4
easytrader
10.3Kshidenggui/easytrader · Pythoneasytrader is a Python library for automating Chinese stock quant trading - it can drive the 同花顺 (THS) desktop client, use the official miniqmt quant API, rebalance or track 雪球 (Xueqiu) portfolios, and mirror joinquant/ricequant paper trading.
- 5

tick-stock-panel
6Kshy3130/tick-stock-panel · PythonTSP is a self-hosted, zero-ops quantitative trading workbench for China's A-share stock market that combines stock screening, real-time anomaly monitoring, and strategy backtesting, with optional LLM-assisted analysis.
- 6

serenity-skill
4.1Kmuxuuu/serenity-skill · PythonThis is an Agent Skill that teaches an AI agent (Claude Code, Codex, etc.) to run Serenity-style supply-chain research: starting from a hot tech theme, it breaks down the industry chain, finds hard-to-replace bottleneck segments, and ranks candidate stocks and funds by how close they are to the real bottleneck.
- 7

skills
3.7KAlphaGBM/skills · PythonAlphaGBM Skills is a collection of 29 open-source Skills that bring real-time market research workflows for stocks, options, commodities and digital assets into AI tools like Claude Code and Cursor.
- 8

PanWatch
2.1KTNT-Likely/PanWatch · PythonPanWatch (盯盘侠) is a self-hosted AI stock-monitoring assistant covering A-share, Hong Kong and US markets: portfolio tracking, real-time alerts and automated reports, with multi-agent analysis powered by the TradingAgents framework.
- 9

easy-stock
1.5Kjundizhou/easy-stock · Goeasy-stock is an AI-native desktop research workbench for China's A-share market: it aggregates real-time quotes, sector/limit-up data and influencer commentary, then uses AI agents to produce stock analysis, portfolio inspections and after-market reviews for individual investors.
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