Topics / #investment-research

Investment-research projects on GitHub

Research terminals and agents for analyzing investments and stocks.

As of , the most-starred Investment-research projects on GitHub are FinceptTerminal (32.6K stars), ai-berkshire (16.8K stars) and a-stock-data (10.9K stars). GitHub.Locker tracks 8 Investment-research repositories with 84.4K stars combined. The fastest-growing on October 17 was FinceptTerminal, with +71 stars in a day.

8Projects
84.4KStars in total
+208Stars in a day

Hot right now

Most stars gained in a day · Oct 17

The all-time top

8 projects · by stars

  1. #1 · Fincept-Corporation/FinceptTerminal

    FinceptTerminal

    Fincept Terminal is a free, open-source desktop finance terminal in the spirit of a Bloomberg terminal: institutional-grade market analytics, AI research agents and trading tools combined in one application.

    32.6K
  2. #2 · xbtlin/ai-berkshire

    ai-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.

    16.8K
  3. #3 · simonlin1212/a-stock-data

    a-stock-data

    It is a self-contained Skill file that bundles raw A-share (Chinese stock market) data from more than two dozen sources into a ready-to-use tool set for AI coding assistants, covering K-lines, research reports, fund flow, news, financials, filings, limit-up boards, ETF options and macro data.

    10.9K
  1. 4

    Financial_freedom

    7.5Kcodeman008/Financial_freedom

    This is a curated Markdown guide that lists top investing and personal-finance books plus top-rated financial documentaries, organized from beginner to advanced, to help readers build long-term financial literacy.

  2. 5

    UZI-Skill

    7.3Kwbh604/UZI-Skill · Python

    A free skill that turns your AI coding agent into a personal stock analyst: give it a ticker and it pulls 22 dimensions of data, runs 22 institutional methods (DCF, comps, LBO), lets 66 investor personas vote, and outputs a ~600KB Bloomberg-style HTML report in 5-8 minutes. Covers A-shares, Hong Kong and US stocks.

  3. 6

    serenity-skill

    4.1Kmuxuuu/serenity-skill · Python

    This 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.

  4. 7

    skills

    3.7KAlphaGBM/skills · Python

    AlphaGBM 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.

  5. 8

    easy-stock

    1.5Kjundizhou/easy-stock · Go

    easy-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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