How BullOrBS Works
How Our AI Works
BullOrBS is powered by Claude, Anthropic's AI model. For every analysis, Claude performs real-time web searches to pull the latest market data, news, and analyst opinions. It then reasons through the data step by step — and we publish that entire reasoning chain so you can follow along.
This isn't a black box. Every conclusion is backed by cited data points, and you can see exactly how the AI arrived at its verdict.
Data Sources
Our AI pulls from a wide range of publicly available sources:
- Market data — real-time and historical price action, volume, and technicals
- Analyst reports — consensus ratings, price targets, and estimate revisions
- News & sentiment — recent headlines, earnings calls, and market commentary
- Regulatory filings — SEC (US) and SEDAR+ (Canada) filings, insider transactions
- Company financials — revenue, earnings, margins, debt levels, cash flow
The Scoring System
Every stock recommendation we audit gets a score from 1 to 10. Here's what each range means:
Strong. The data backs it up, the timing makes sense, and the risks are manageable. This is solid advice worth paying attention to.
Decent. There's a case here, but there are real concerns or better alternatives out there. Do your own homework before jumping in.
Weak. More questions than answers. The recommendation has some merit, but the risks are hard to ignore. Proceed with caution.
Bad. The data doesn't support this recommendation. Key claims are misleading, the risks are too high, or there are much better options available.
The Elimination Tournament
For our weekly stock picks, we don't just name a winner — we show the full bracket. Here's how it works:
- Candidate selection — 10 to 15 stocks are identified based on market momentum, sector rotation, earnings catalysts, and reader interest.
- Head-to-head analysis — each stock is evaluated on fundamentals, valuation, growth potential, risk factors, and timing.
- Elimination rounds — weaker candidates are cut with full explanations of why they didn't make it.
- Final verdict — one stock emerges as the top pick, with a complete breakdown of every decision along the way.
Every eliminated stock is shown. Every reason is published. You see the full process, not just the conclusion.
Transparency Commitment
Every data point in our analysis is sourced. Every piece of reasoning is published. We don't hide behind vague statements like "our proprietary model suggests..." — if we can't show you the data and the logic, we don't publish the claim.
This is what separates BullOrBS from traditional financial newsletters. We believe transparency is more valuable than mystique.
Limitations
We believe in being upfront about what AI analysis can and cannot do:
- AI can be wrong. Models can misinterpret data, miss context, or draw incorrect conclusions. That's why we show our work — so you can spot errors.
- Past data doesn't predict the future. No analysis — human or AI — can guarantee stock performance.
- This is not financial advice. BullOrBS is an educational and informational tool. Always do your own research and consult a licensed financial advisor before making investment decisions.
- We are not affiliated with any financial institution, brokerage, or publication we analyze.
Use our analysis as a starting point — never as your only source.