Learn
Four lessons that take you from "I have never read a chart" to running your own measured reads through an AI agent. Written for beginners, free, and worth reading even if you never buy anything here.
This is the path — take the lessons in order. If you just need one options term explained (max pain, GEX, open interest…), the Guides are the reference shelf.
New here? Brooks-only is $9.90 a month; the full four-endpoint API is $149 a month with the first 3 days free — plus free nightly max pain and GEX pages that need no key at all. The lessons below assume none of it.
The one idea underneath all of it: a small number you counted beats a big number you were told. Everything on this site is built around that, including the parts where our own results failed.
The path
Read them in order. Lesson 1 comes before any market content on purpose — without it, every figure in the other three is just a number to be impressed by.
- 1
How to read a trading probability 12 min
Base rates, calibration, sample size, p-values in plain words, and why 52–56% is what real edge looks like. Read this first — it is the lens for everything else.
- 2
Day types 10 min
What price action means, the five shapes a session takes, why a probability distribution beats a label, and a practice routine that actually builds the skill.
- 3
Volume-price analysis 12 min
Effort versus result, what Wyckoff and Weis really claimed, the five events — and the scoreboard where two confirmed and two measured reversed against the textbooks.
- 4
Set up your AI agent 15 min
Get a key, install a Skill or paste one prompt, ask a question, and read the answer critically. Every major agent, plus troubleshooting for every error code.
What you will be able to do at the end
- Hear "this setup works 85% of the time" and know the four questions that either defend it or dismantle it.
- Look at a session in progress and describe it as a distribution over five shapes instead of guessing a label.
- Read volume against price movement and know which of the classical readings survived measurement — including the two that measured backwards.
- Ask an AI agent a market question and correctly judge whether its answer came from data or from its own imagination.
A short glossary, so nothing below surprises you
| Term | Plain meaning |
|---|---|
| Base rate | How often something happens with no prediction at all. The score for knowing nothing. |
| Calibrated | When the model says 70%, the thing happens about 70% of the time. A testable property of the numbers themselves. |
| Held-out | Data the model never saw while being built. Scoring on anything else is grading your own homework. |
| Pre-registered | The test was written down before it was run. This is what separates a test from a search. |
| Zero-shot | Applied to an asset the model was never trained on, with nothing re-tuned. |
| Out of distribution | Being used on something unlike its training data. It still produces an answer; nobody has checked whether that answer is any good. |
The numbers you will meet
Every figure across these lessons is measured, on held-out data, and published with its sample size. Here are the headline ones so you know what "good" looks like around here:
That last tile is not an accident of layout. It belongs next to the others, and lesson 1 explains why a published failure is the most persuasive number on the page.
Then: choose one read or the full set
The lessons stand on their own. If you want to run the measurements yourself, the API answers four questions about a chart — one endpoint each. The full key covers all four; the smaller AI-workspace product covers Brooks only.
What just happened structurally?
GET /v1/brooks/{symbol}
The classical Brooks events — range breakouts, follow-through, range position, climactic spikes — each with the outcome rate we measured for it, pre-registered, and a calibrated per-event estimate for breakouts. Live around the clock on 24-hour instruments, including the Asia-close-to-US-open gap. Every read also carries the calibrated five-class day-type distribution for the day session, and a plain arithmetic description of the shape the last stretch of bars printed.
Is there volume behind this move?
GET /v1/weis/{symbol}
Price grouped into volume waves, plus five named volume-price events — each returned with the win rate we measured for it on sixteen years of S&P 500 futures data.
Where would the most options expire worthless?
GET /v1/maxpain/{symbol}
The max pain strike for every expiration inside 45 days, from open interest alone. Pure arithmetic: no pricing model, no volatility assumption — anyone with the same chain gets the same number.
Which way does estimated dealer hedging lean?
GET /v1/gamma/{symbol}
Estimated dealer gamma exposure: net and gross GEX, the zero gamma (flip) level and the heaviest strikes. Unlike max pain this is a Black-Scholes estimate, and the response says so.
Brooks-only is $9.90 a month with no trial. All four are in the $149 full plan, first 3 days free. Checkout is self-serve and your key is on screen the moment it finishes. See pricing. The max pain and GEX pages on this site publish the two options figures for a fixed set of US stocks and ETFs — free, no key, computed by the same code the endpoints run. The pages are rebuilt nightly from the latest upstream settlement available, and every ticker page states its own data date.
Reading the options pages?
These four lessons cover day types and volume. The options side — the numbers on the free max pain and GEX pages — has its own learning line, written for the same reader:
Start with max pain — it is pure arithmetic, and the guide works the formula by hand. The guides index suggests an order.
And the scaffolding
Quant Data is designed to be used through an AI agent, not by staring at JSON. The three Skills are installable files that teach your agent the endpoints, the symbol rules, and — the part that matters — how to report the answer without inventing confidence that is not in the data.
Start
Lesson 1 — reading a probability Or poke at something free
Educational analytics. Nothing on these pages is investment advice, a recommendation to buy or sell, or a price forecast. Trading involves risk of loss.