85ScoreA multi-agent research desk: analyst agents argue the bull and bear case, a risk agent signs off before any trade idea moves.
★ 118k stars · Intermediate · updated 2026-10
AI Agents deep dive
AI Trading Analyst for Claude Code is a free set of
Claude Code skills that sends five AI agents to research a stock in parallel, then combines their findings into a 0 to 100 Trade Score and an optional PDF report. It is for curious investors who want structured research, not a trading bot. The catch: the code was pushed only on the day it was created, the analysis comes from web searches, and a score with a Strong Buy label can feel more certain than it is.
Think of it as sending five interns to research one stock at the same time, then stapling their notes into a single report card.
FullStack Alpha Editorial Team
Reviewed by Jay Rocco, Chief Editor

AI Trading Analyst for Claude Code (the repo is called ai-trading-claude) is a skill pack for Claude Code, Anthropic's coding assistant that runs in your terminal. A skill is a saved set of instructions that teaches Claude a repeatable task. Install this pack and you get 16 commands, from a full analyze run to quick snapshots, technical and fundamental checks, sector views, earnings previews, options ideas, portfolio and risk reviews, a screener, a watchlist, and a PDF report.
The flagship analyze command launches five agents in parallel. One looks at price action and indicators, one at fundamentals like value and growth, one at sentiment from news and analyst ratings, one at risk such as volatility and drawdown (the drop from a peak to a low), and one builds bull and bear cases with entry and exit ideas. A final step blends them into a Trade Score weighted 25 percent technical, 25 percent fundamental, 20 percent sentiment, 15 percent risk, and 15 percent thesis.
The output is a terminal summary, a markdown file, and an optional six-page PDF with gauges and charts, built with the ReportLab Python library. The README says plainly that the tool does not execute trades, does not manage money, and does not connect to brokers. It also says the analysis is based on public information gathered through web search at the time of the report, not a licensed market data feed.
Here is the market truth. Five agents reading the same web search results are not five independent opinions. They are one source of information with five haircuts. The structure is useful, because it forces you to look at a stock from several angles. The score is a summary of that process, not a forecast.
Community Score
48 / 100
GitHub data checked 2026. Community read: not enough independent discussion yet.
Works with
Good fit if you are
Skip it if you are
We found no Reddit or Hacker News threads discussing AI Trading Analyst for Claude Code worth citing. The repo has close to 300 stars and over 120 forks, a high fork ratio that suggests people copy it to customize rather than talk about it.
The author also promotes a
Skool community and course about building AI tools with Claude Code, plus a series of sibling skill packs for marketing, sales, SEO, and more. That is not a red flag on its own, but it tells you this repo is partly a showcase. Judge it as a template you will maintain yourself.
What they like
What they complain about
Claude Code with Anthropic access
Every command runs inside Claude Code, and each multi-agent run uses model time from your Anthropic plan or API key.
Python 3.8 or newer
Needed for the PDF report generator. The reportlab package is optional and only for PDFs.
A broker of your choice, separately
The tool never connects to a broker. Any trade decision happens outside it, by you.
Built in a day, not maintained
The code was pushed only on its creation date. Bugs, prompt drift, and model changes are yours to handle.
Web search is not a data feed
Prices and figures come from whatever the search turns up at that moment. Stale or wrong numbers can slip into a confident report.
Scores feel more precise than they are
A 78 out of 100 with a Buy label sounds scientific. It is a weighted opinion built from the same web results, not a backtested signal.
Usage costs add up
Five parallel agents per ticker consume more AI usage than a single chat. Screening a long watchlist can get expensive on API billing.
Confusing key requirements
The README says no API keys, yet lists an Anthropic API key as a prerequisite. Expect to sort that out yourself.
Keep reading across FullStack Alpha
Not ready to run code yourself? Our hands-on AI stock tool reviews on AIStockPickerApp.com score finished products on five pillars, the AI stock tools directory at AIStockPickerApps.com sorts 200+ tools by the job they do, and AIStockTradingBots.com walks through broker APIs, bot setup and backtesting step by step. Or head back to the Trading Workflows home page to match tools to your own routine and budget.
85ScoreA multi-agent research desk: analyst agents argue the bull and bear case, a risk agent signs off before any trade idea moves.
★ 118k stars · Intermediate · updated 2026-10
84ScoreA multi-agent research workspace from HKU with built-in backtest engines and trade-journal analysis.
★ 37k stars · Intermediate · updated 2026-10
83ScoreInvestor-persona agents debate a stock, then a portfolio agent makes the call. A teaching project, not a fund.
★ 64k stars · Intermediate · updated 2026-10
AI Trading Analyst for Claude Code is a well-packaged research template. The five-agent structure, weighted Trade Score, and forced bull and bear cases push a reader toward a more complete look at a stock, and the README is honest that it is not a trading bot or financial advice. For people searching "claude ai trading" or "ai trading agent," it is a clean, free example of what an AI research desk can look like.
The practical takeaway: use it as a checklist, not an oracle. Verify the numbers, read the thesis before the score, and treat the repo as a starting point you will own, since it has not been updated since launch. Process beats prediction, and this tool is only as good as the process you wrap around it.
No. The README states it does not execute trades, manage money, or connect to brokers. It is a research tool that writes a scored analysis report.
The skill pack is free under the MIT license. Running it uses Claude Code, which requires an Anthropic plan or API key, so the AI usage itself is not free.
Yes, as research. This skill pack has Claude run five agents for technical, fundamental, sentiment, risk, and thesis analysis, then combine them into a 0 to 100 Trade Score. It does not place trades.
The README says analysis is based on publicly available information gathered through web search at the time of the report. It does not use a paid market data feed.
Treat it as a summary of one AI run, not a tested signal. The README calls the tool educational and not financial advice, and no backtest of the score is published.
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