▶ Full Post Text
I know **“AI stock analysis”** makes most of you cringe. It makes me cringe too.
Every AI tool I’ve tried does the same thing: you ask it about a stock and it gives you a generic paragraph that could apply to *any* company.
>
Thanks, very helpful.
The problem isn’t the AI. It’s the **data**.
Most AI stock tools just scrape headlines and social media sentiment. They don’t have access to actual income statements, balance sheets, cash flow data, insider filings, or 13F holdings. So they produce **vibes, not analysis**.
The other problem is that they have **no framework**.
They don’t know what a value investor actually looks for. Graham published specific quantitative criteria. Buffett has talked about moats, return on equity, and owner earnings for decades. Burry looks for asymmetric setups where asset values are being ignored.
So I spent 2 years building something different. It’s called **Stocknear**, and one of the features is a set of AI agents connected to real financial data, each modeled after a specific investing framework.
Here’s what I mean:
**BenjaminGraham agent:**
Checks Graham’s actual criteria from *The Intelligent Investor* against real financial data:
* Current ratio > 2
* Earnings stability over 10 years
* Uninterrupted dividends for 20+ years
* P/E < 15
* Price-to-book < 1.5
* Graham Number
Almost nothing passes all of Graham’s criteria in today’s market, which is informative in itself. Have a look [here](https://stocknear.com/chat/ob77hyjrihx62yx).
**WarrenBuffett agent:**
Evaluates:
* Competitive moats
* ROE trends over time
* Owner earnings vs. reported earnings
* Management capital allocation track record
* Pricing power indicators
Uses multi-year financial statement data. Take a look [here](https://stocknear.com/chat/teqex2r4x6hwzdv).
**MichaelBurry agent:**
Looks for contrarian deep value:
* Market overreactions
* Ignored asset values
* Asymmetric setups
Cross-references short interest, insider buying patterns, and fundamental undervaluation signals. Take a look [here](https://stocknear.com/chat/7lntnffzlfifqmf).
**BullvsBear agent:**
For any stock, builds the strongest **bull case and bear case** using real financial data.
I use this to stress-test my own thesis if I’m bullish, I want to see the best bear argument laid out with actual numbers.
You can find a real example [here](https://stocknear.com/chat/s1g14oajdey6txe).
Beyond the AI agents, the platform also has:
* **Full financial statements:** income, balance sheet, cash flow, ratios (quarterly & TTM). The raw data the agents use.
* **Built-in DCF model:** transparent 5-step calculation with sensitivity analysis and margin-of-safety tiers.
* **13F hedge fund tracking:** see what Berkshire, Bridgewater, etc. hold and how positions change QoQ.
* **Insider trading tracker:** every Form 4 filing with sentiment analysis.
* **Stock screener:** pre-built “Undervalued Stocks” or custom screens with 100+ filters.
What I want to be upfront about:
* The AI agents **do not predict stock prices**. They analyze data through specific frameworks.
* They’re analytical starting points, not investment advice.
* AI can get things wrong. That’s why the raw financials are always available to verify.
* This is not a replacement for reading 10-Ks. It’s a faster screening tool — if something looks interesting, you still read the filings.
**Questions I’m genuinely thinking about:**
1. Which investor’s framework do you find most applicable to today’s market? Graham’s criteria eliminate almost everything right now.
2. What pain points are you experiencing the most, i.e. what would you love to see?
Link: [https://stocknear.com/chat](https://stocknear.com/chat)