Turn a stock watchlist into a 12-agent market research lab with Claude Code
Inspired by Boris Cherny's parallel-agent setup, a developer built a system with scouts, parsers, linkers and reviewers over 1,284 news sources. Reviewers test every signal on 3 years of data, against news changes and against doing nothing.
Source
@Zivlen_Coder on X · 2026-10-16
Written in our own words. Credit to the original author. Link checked 2026-10-22.
What they did
Inspired by Boris Cherny's parallel-agent setup, a developer built a system with scouts, parsers, linkers and reviewers over 1,284 news sources. Reviewers test every signal on 3 years of data, against news changes and against doing nothing.
Result (as claimed)
In the demo 28 stocks and 11 patterns were tested: 8 matched, 3 flagged for review. Shared with a reusable prompt.
Tools they used
Cost: Claude Code: from $17/mo.
Set it up
Gather your sources
Collect the papers, notes, links or files you want to work from in one place.
Load them into the tool
Open Claude Code, Python and add your sources. Keep the original files so you can check claims later.
Ask focused questions
Ask for summaries, comparisons or connections with citations to the source passages.
Verify and save
Spot check claims against the sources, then save the output as notes you can reuse.
Copy the full setup prompt
Paste into your agent and it will walk you through the setup, asking before anything that sends, posts or spends.
You are helping me set up this AI use case end to end in Claude Code. Goal: Turn a stock watchlist into a 12-agent market research lab with Claude Code What the original author did: Inspired by Boris Cherny's parallel-agent setup, a developer built a system with scouts, parsers, linkers and reviewers over 1,284 news sources. Reviewers test every signal on 3 years of data, against news changes and against doing nothing. Reported result (as claimed by the author): In the demo 28 stocks and 11 patterns were tested: 8 matched, 3 flagged for review. Shared with a reusable prompt. Source: https://x.com/Zivlen_Coder/status/2110921106018431052 Tools they used: Claude Code, Python Category: Research & learning Please: 1. Ask me 3 short questions about my situation (accounts I have, budget, what I want the output to look like). 2. Propose a step-by-step plan using these tools or cheaper alternatives, with the time and cost of each step. Use official pricing pages; say "check pricing" if unsure. 3. Then do the setup with me one step at a time, waiting for my OK before anything that sends messages, posts publicly, spends money or deletes data. 4. Finish with a checklist to run it again next time.
You are helping me set up this AI use case end to end in Codex. Goal: Turn a stock watchlist into a 12-agent market research lab with Claude Code What the original author did: Inspired by Boris Cherny's parallel-agent setup, a developer built a system with scouts, parsers, linkers and reviewers over 1,284 news sources. Reviewers test every signal on 3 years of data, against news changes and against doing nothing. Reported result (as claimed by the author): In the demo 28 stocks and 11 patterns were tested: 8 matched, 3 flagged for review. Shared with a reusable prompt. Source: https://x.com/Zivlen_Coder/status/2110921106018431052 Tools they used: Claude Code, Python Category: Research & learning Please: 1. Ask me 3 short questions about my situation (accounts I have, budget, what I want the output to look like). 2. Propose a step-by-step plan using these tools or cheaper alternatives, with the time and cost of each step. Use official pricing pages; say "check pricing" if unsure. 3. Then do the setup with me one step at a time, waiting for my OK before anything that sends messages, posts publicly, spends money or deletes data. 4. Finish with a checklist to run it again next time.
You are helping me set up this AI use case end to end in Grok Bot. Goal: Turn a stock watchlist into a 12-agent market research lab with Claude Code What the original author did: Inspired by Boris Cherny's parallel-agent setup, a developer built a system with scouts, parsers, linkers and reviewers over 1,284 news sources. Reviewers test every signal on 3 years of data, against news changes and against doing nothing. Reported result (as claimed by the author): In the demo 28 stocks and 11 patterns were tested: 8 matched, 3 flagged for review. Shared with a reusable prompt. Source: https://x.com/Zivlen_Coder/status/2110921106018431052 Tools they used: Claude Code, Python Category: Research & learning Please: 1. Ask me 3 short questions about my situation (accounts I have, budget, what I want the output to look like). 2. Propose a step-by-step plan using these tools or cheaper alternatives, with the time and cost of each step. Use official pricing pages; say "check pricing" if unsure. 3. Then do the setup with me one step at a time, waiting for my OK before anything that sends messages, posts publicly, spends money or deletes data. 4. Finish with a checklist to run it again next time.
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Guides for this use case
How to vibe code an app with Claude Code · How to use AI agents for research and science · How to run multiple coding agents together
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