All guides
Guides to reading market data
Short explanations of what each signal is, where it comes from and how to read it without a finance degree.
25 September 2026
Price records what has already been decided
Price records decisions that have already been made. Here is what filings, disclosures, options prints and volume add, and where that argument runs out.
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25 September 2026
What actually happens when a model scores a stock
How an AI stock score is actually built, from features and weights to training data, plus the limits worth knowing before you read too much into one.
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25 September 2026
Why an unexplained rating is hard to use
What makes a stock rating a black box, what real explainability looks like at the signal and filing level, and the questions to ask of any rating you read.
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25 September 2026
The input families behind a market score
The five families of data behind a market score, what each one adds, what each one misses, and why no single source can carry a score on its own.
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25 September 2026
Checking what sits behind an AI stock rating
A repeatable way to check an AI stock rating: find the inputs, trace one back to the filing behind it, see what moved the score, then form your own read.
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25 September 2026
Building a trading journal you will actually keep
What to record in a trading journal, how to keep entries short enough to actually write, what to review weekly and monthly, and why most journals get dropped.
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25 September 2026
Five ways people misread insider filings
Copying without context, ignoring transaction codes and size, chasing the move and misreading sales. The common errors people make with insider filings.
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25 September 2026
A fifteen minute routine for sizing up a stock
A time boxed routine for researching a stock quickly: the business model, filings, insider and congressional disclosure, options behaviour and key dates.
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