A hedge fund research desk that runs in Claude Code: seven AI agents argue both sides of a stock, a trader proposes one strategy, and a walk-forward backtest only trades it if it beats the market.
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Install AI stock research and backtest desk on my computer. Walk me through it. Repo: https://github.com/tabani-png/quant-desk What it does: A hedge fund research desk that runs in Claude Code: seven AI agents argue both sides of a stock, a trader proposes one strategy, and a walk-forward backtest only trades it if it beats the market. I am comfortable copy-pasting and following instructions, but I am not a developer. Rules: - Plain English. Define jargon the first time it appears (repo, env var, port, dependency). - One step at a time. Exact command in a code block. Tell me which app to paste it into (Terminal on Mac, PowerShell on Windows). - One sentence per command explaining what it does and what success looks like. - After each command, wait. I will tell you the output before you move on. - If a tool is missing (git, node, docker, python), give me the one-line install for my OS first. - If something errors, diagnose before the next step. Do not skip. First message: ask only "What is your operating system, macOS, Windows, or Linux?" Then start step 1. Reference steps from the public guide (adapt to my OS, do not just paste them at me): 1. Clone the open-source desk (public, free): git clone https://github.com/tabani-png/quant-desk, then run ./install.sh. It copies the skill and the 7 analyst agents into your Claude Code and sets up a small Python env (yfinance + pandas). There is NO Anthropic API key anywhere — it runs on the Claude Code subscription you already have. 2. In Claude Code, type /quant-desk run AAPL. The desk pulls a year of real prices, runs the market, fundamentals, and news analysts, stages a bull-vs-bear debate, has the trader propose one concrete rule, and the risk manager size it — every step narrated in plain English. 3. The rule then hits the backtest gate: walk-forward (the verdict is decided only on a held-out slice the strategy never saw) and cost-aware. It trades ONLY if it beats holding the S&P 500, has a positive Sharpe, and draws down no worse than holding the stock. Fail any check and the trade is BLOCKED — the AI's opinion does not override it. 4. Optional: place PAPER (pretend-money) trades with free Alpaca paper keys; without them, trades run in DRY RUN and no real money is ever at risk. Prefer no terminal? Copy the 9 prompts below to run the desk by hand in any Claude chat — but only the installed engine runs the REAL backtest on live data. Stop when the app opens and I confirm it works.
Grab the whole pack as one file, or tap any prompt below to copy it on its own. Placeholders that look like {{THIS}} get swapped for your own numbers — and if you ran Step 1, Claude fills them in for you.
The code is public and free. The setup instruction above installs and wires it for you. You never need to open this link.
A hedge fund research desk that runs in Claude Code: seven AI agents argue both sides of a stock, a trader proposes one strategy, and a walk-forward backtest only trades it if it beats the market.
The setup rail and every prompt above are free and stay free. The cost is your time, and the risk of wiring it wrong on live data.
Back to the prompts ↑We would build your private desk: your watchlist wired in, a strategy library beyond the three starter rules, your own risk limits and position sizing, your broker connected for paper-then-live, a compliance sign-off chain, and the honest baseline (index-fund comparison plus past-winner warning) kept front and center. Done with you, then handed over so you own it.
Book a build call →The quant-desk engine and prompts are open source (github.com/tabani-png/quant-desk), authored by consultance.ai. Two Sigma and other funds are referenced as the incumbent being replaced; no affiliation implied. Free Yahoo Finance data and optional free Alpaca paper trading are used under their own terms. This is an educational tool on a paper account, NOT financial advice; passing the gate is a minimum bar, not a promise of future results.
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AI stock research and backtest desk is a finance and data build in the consultance.ai AI Build Library. A hedge fund research desk that runs in Claude Code: seven AI agents argue both sides of a stock, a trader proposes one strategy, and a walk-forward backtest only trades it if it beats the market. It fits Retail quants, finance founders, traders, and fund-curious operators who want a hedge fund's research, debate, and backtest workflow without the API bill, the terminal, or the team — a disciplined second opinion, not another stock-tip bot. Setup difficulty is Technical, with 4 plain-English steps.
A hedge fund research desk that runs in Claude Code: seven AI agents argue both sides of a stock, a trader proposes one strategy, and a walk-forward backtest only trades it if it beats the market.
It fits Retail quants, finance founders, traders, and fund-curious operators who want a hedge fund's research, debate, and backtest workflow without the API bill, the terminal, or the team — a disciplined second opinion, not another stock-tip bot.
Technical to set up — one guided setup instruction covering 4 plain-English steps, plus 9 ready-to-run prompts on the resource page.
We would build your private desk: your watchlist wired in, a strategy library beyond the three starter rules, your own risk limits and position sizing, your broker connected for paper-then-live, a compliance sign-off chain, and the honest baseline (index-fund comparison plus past-winner warning) kept front and center. Done with you, then handed over so you own it.
The quant-desk engine and prompts are open source (github.com/tabani-png/quant-desk), authored by consultance.ai. Two Sigma and other funds are referenced as the incumbent being replaced; no affiliation implied. Free Yahoo Finance data and optional free Alpaca paper trading are used under their own terms. This is an educational tool on a paper account, NOT financial advice; passing the gate is a minimum bar, not a promise of future results.
AI stock research and backtest desk is the starting point. On a free AI audit we map where it fits your stack and what consultance.ai would build around it.
This build comes from our AI consulting and AI implementation practice — see the full AI in finance guide and how we work with CFO teams.