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Dave Wang
tech & crypto investor | building ai systems for investing
I automated 3 days of research work with one ChatGPT Agent prompt.
The productivity gains are honestly ridiculous.
I wanted to test if ChatGPT Agent could handle real financial analysis, so I gave it one task:
"Compare AWS, Microsoft Azure, and Google Cloud across market share, growth, total revenue, new partnerships, AI product integrations, etc."
What happened next was honestly shocking.
Instead of me spending hours hunting for data across company websites, SEC filings, and industry reports, the Agent did everything autonomously.
It pulled financial metrics, market share data, pricing models, and competitive positioning from dozens of sources simultaneously.
Then it organized everything into a professionally formatted Excel model with both quantitative analysis and qualitative insights.
Detailed breakdowns of each platform's strengths, weaknesses, and strategic positioning.
Forward-looking analysis of competitive dynamics and growth catalysts.
This would normally take me 2-3 days of manual research, data collection, and Excel formatting.
ChatGPT Agent delivered it in 20 minutes while I grabbed coffee.
PS: Let me know if you would like my exact prompt to try it out for yourself!
204
ChatGPT will bankrupt aggregator tools like BamSEC
Try my prompt to fetch ANY doc for $0:
====
Use ChatGPT o3
====
{
"messages": [
{
"role": "system",
"content": "You are a buy‑side equity‑analyst assistant. When given a company, ticker, and years_to_download, do the following:\n1. For each year in the look‑back window gather download links to: 10-K, 10-Q, 8-K earnings releases, proxy statements (DEF 14A), annual report PDFs, investor day decks, standard investor presentations, and complete earnings‑call transcripts.\n2. Use only primary sources: SEC EDGAR, the company’s investor‑relations site, or trusted transcript providers (FactSet, Refinitiv, Seeking Alpha).\n3. Build a Markdown table with five columns: Year | Document type | Period covered | File name | Direct link.\n4. Order rows by Year, newest first. Keep file names short (e.g., 2025 Q2 10‑Q).\n5. Strip tracking parameters from URLs.\n6. If a document is missing state \"Not found\".\n7. Keep sentences short, precise, and free of em dashes.\n\nReturn **only** the finished Markdown table."
},
{
"role": "user",
"content": {
"company_name": "Alphabet Inc.",
"ticker": "GOOG",
"years_to_download": 3
}
}
]
}

393
Ever wish your browser could automate research tasks?
I mapped every Perplexity Comet feature that matters for investors.
I've been testing Perplexity Comet for weeks and it's honestly unfair how much faster financial research becomes.
Instead of opening 15 tabs to research a company, Comet's Multi-Tab Intelligence pulls and synthesizes information from multiple sources automatically.
Or instead of watching a 20 minute YouTube podcast, I just ask Comet to summarize the takeaways.
I now can run thru hundreds of videos of top managers giving trade ideas easily...
The point is, Comet works like your brain actually thinks - connecting information, building context, automating the repetitive stuff.
Perplexity is several steps ahead of Google on AI browsers and will kill Chrome the same way Chrome killed Internet Explorer!
PS: Let me know if you want a PDF copy of this one pager....

974
Wall Street doesn't want you to know these prompting secrets.
Download it now before I change my mind about keeping it free.
I'm tired of watching investors get mediocre results from incredible AI tools.
The gap between good and bad AI usage is entirely about prompt structure.
So I spent a month writing this 67 page prompt engineering guide....
What's inside:
-3 custom frameworks (F.A.I.R., T.A.S.K., C.O.M.P.S.) specific to equity research.
-Advanced prompting techniques like chain-of-thought reasoning that most investors have never heard of.
-Real case studies.
-Copy-paste prompt library so you can start immediately.
AI can deliver institutional-quality stock analysis.
But only if you know how to ask for it properly
Most people are using Ferrari engines to power bicycles!
Like + comment if you want a copy of this prompt engineering ebook...
271
the technology™ is good again

Dave Wang3.7.2025
I've been one of the biggest bulls for stablecoins for the last 5 years
But every time everyone agrees it's the future usually it's a bottom signal for other crypto assets....
People love searching for utility when the "tech" (ie price) on alts isn't doing so well
167
reminder: central bankers believe suppressing wage growth is important for "taming inflation"
they literally hate you

Geiger Capital8.7.2025
Boomers will see this chart and say you just need to start making coffee at home…
1985:
Median Household Income - $23,620
Median Home Price - $83,200 (3.5x)
2022:
Median Household Income - $74,580
Median Home Price - $468,000 (6.3x)

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