Cindy Zhu.
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Money Claude

Beat trading bots by thinking in years, with Claude

Hey, it's Cindy ๐ŸŒฑ You give Claude a company or ETF you hold or are looking at, and it runs a long-horizon research pass on the real filings.
btw the waitlist for AI System Club is now open! If you're keen on using AI to automate your content, video editing, job search, business or build AI agents, feel free to sign up (only if you want to hehe). Ps. the waitlist gets first dibs:)
why this matters

What the agents are good at, and what they're not

Older trading software followed rules a person wrote in advance. Newer systems pull in far more: funds have used satellite photos of retail car parks to read sales before earnings, and a UC Berkeley study of 4.8 million parking lot images found that edge was worth 4% to 5% in the three days around earnings announcements (Berkeley Haas). Notice the window: three days.

The risk regulators worry about is sameness. The Bank of England warned that more advanced AI trading "could lead to firms taking increasingly correlated positions and acting in a similar way during a stress, thereby amplifying shocks" (Bank of England, April 2025). IOSCO's May 2026 supervisory toolkit lists "Flash crashes from AI-driven trading" and "Herding behavior" among its systemic risks (IOSCO report, page 26).

Where the machines win ๐Ÿค– Speed, reaction to news in milliseconds, and squeezing a few days of edge out of data you'll never have.
Where you win ๐ŸŒฑ Patience. You can hold through a crash they helped cause, and judge a business on what it looks like in five years, not five seconds.
Speed is expensive even for professionals. S&P's SPIVA scorecard found 85.98% of US large-cap funds underperformed the S&P 500 over 10 years, as of 30 June 2025 (SPIVA U.S. Mid-Year 2025).

the setup

Set Claude up once, in 10 minutes

  1. ๐Ÿ“ Make a Project for your watchlist. In Claude, create a Project called something like "Long-term holdings". Projects work on every plan, and free accounts can make up to five. Each thesis you write lives here so Claude remembers it next quarter. What Projects are.
  2. ๐ŸŒ Turn on web search. In a chat, click the + button and switch on Web search. It's available on all Claude plans, and it's what lets Claude pull current filings and news with sources. How to enable web search.
  3. ๐Ÿ”ฌ Use Research if you're on a paid plan. Research runs a longer, multi-source investigation and needs web search switched on. It's on Pro, Max, Team and Enterprise. On Free, the prompts below still work with plain web search. Using Research.
  4. ๐Ÿ“„ Add the primary documents. Download the latest annual report and the most recent quarterly results and drop them into the Project's knowledge. US companies: SEC EDGAR search. Australian companies: ASX announcements. The company's investor relations page usually has the earnings webcast or transcript, where provided.

prompt one

Write the 5-year thesis

๐Ÿง  My 5-year thesis
I hold (or am considering) [company name and ticker, or ETF]. Using the annual report and quarterly results in this project, plus web search for anything more recent, write a 5-year research thesis for it. Cite the document or link for every factual claim, and say clearly when something is your inference rather than a stated fact.

Structure it as: what the business actually sells and who pays for it, how it makes money and whether that is getting better or worse over the last 3 years, the 2 or 3 things that must be true for this business to be meaningfully bigger in 5 years, and what the current price already seems to assume.

Finish with one paragraph I could reread in a year that says, in plain language, why I own this. Do not tell me to buy or sell, and do not predict a share price.
prompt two

Find what would break it

๐Ÿ”Ž Pre-mortem my thesis
Assume it is 5 years from now and the thesis we just wrote turned out to be wrong. Work backwards and give me the 5 most likely reasons it failed, ranked by how likely they are, using evidence from the filings and recent news rather than generic risks.

For each reason, give me one specific, measurable warning sign I could check each quarter (for example "gross margin falls below X% two quarters in a row" or "the largest customer drops below Y% of revenue"), and where in the company's reports I would find that number.

Then tell me which one of these risks the market seems to be ignoring right now, and which one is probably already priced in, and explain why in two sentences each.
๐Ÿ’ก Save both answers as a single note in the Project, titled with the company and today's date. That note is what the check-in compares against.
prompt three

The quarterly check-in

This is the whole long-horizon habit. When new results come out, add them to the Project and run this. It takes five minutes and stops you reacting to headlines.

๐Ÿ“… Did anything actually change?
New quarterly results for [company] are now in this project. Compare them against my saved thesis and the warning signs from my pre-mortem.

For each warning sign, tell me the current number, the previous number, and whether it is fine, worth watching, or triggered, with a citation to where you found it. Then tell me whether anything in these results changes one of the 2 or 3 things that must be true for the thesis, and separate real business changes from short-term noise like one-off costs or share price moves.

End with one of three verdicts: thesis intact, thesis weakened (say exactly what would need to happen next quarter to break it), or thesis broken. Do not recommend buying or selling.

good to know

Keep it honest

๐Ÿงพ Check the citations Open the two numbers your thesis depends on most and confirm them in the actual filing.
๐Ÿ—“๏ธ Ignore the daily price The check-in runs on results, not on a red day. That's the point.
๐Ÿง  Your call, not Claude's Claude organises the evidence. The decision, and the risk, stays with you.
๐Ÿ’Œ Get real advice for big moves For anything that matters to your finances, talk to a licensed financial adviser.
This guide is general information and research practice, not financial advice. AI can misread a filing or pull an outdated number, and past performance doesn't predict future results.

Proof

IOSCO: Supervisory Toolkit for AI Use in Capital Markets, May 2026
Bank of England: AI in the financial system, April 2025
Berkeley Haas: how hedge funds use satellite images
SPIVA U.S. Mid-Year 2025 scorecard
Yahoo Finance: an AI-powered flash crash is coming

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the moment doors open :)