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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 Grading System

Every stock recommendation we audit gets a letter grade from A to F. Here's what each grade means:

A

Strong buy signal. Data overwhelmingly supports the recommendation. Fundamentals, technicals, and sentiment all align.

B

Positive outlook. Good fundamentals with minor concerns. The recommendation is solid but not without caveats.

C

Mixed signals. Proceed with caution. Some data supports the pick, but there are enough red flags to give pause.

D

Significant concerns. More risk than reward. The data doesn't strongly support the recommendation and key metrics are trending the wrong way.

F

Failed analysis. The data doesn't support the recommendation. Key claims are misleading, outdated, or contradicted by available evidence.

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:

  1. Candidate selection — 10 to 15 stocks are identified based on market momentum, sector rotation, earnings catalysts, and reader interest.
  2. Head-to-head analysis — each stock is evaluated on fundamentals, valuation, growth potential, risk factors, and timing.
  3. Elimination rounds — weaker candidates are cut with full explanations of why they didn't make it.
  4. 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.