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// educational content · not financial advice

Everything on this page is published for educational and informational purposes only. Nothing here is investment, financial, legal, tax, or trading advice, a recommendation to buy or sell any security or contract, or a solicitation of any kind. Trading futures, options, equities, and crypto involves substantial risk of loss and is not suitable for every investor. Past performance — including any backtests, demos, or examples shown — does not guarantee future results. Consult a licensed professional before acting on anything you read here.

// curriculum · certification

Finished the curriculum? Take the badge.

A 181-page curriculum is a serious read. The badge below is a small, honest marker that you got through it — useful for a LinkedIn line, a personal site footer, or your own records. We do not call it a certification because the word implies accreditation we do not have.

Before you take the badge

  • No quiz, no grader, no registrar. Anyone who visits this page can claim the badge. We trust the honour system because cheating yourself out of a free curriculum is a strange thing to do.
  • Not an industry credential. This is not a FINRA, NFA, CFA, FRM, or CMT designation, not a substitute for one, and not equivalent to one. Do not list it as a credential in regulated contexts.
  • Stored on your device only. Whatever name you type stays in your browser. We do not log it, store it, or transmit it anywhere.
  • Read the legal page first. See /learn/automation/legal for the full disclosure on what this material is and is not.
// take the badge

Your badge.

Type your name. Screenshot the badge, or copy the markdown block to paste into a LinkedIn description or a README.

Typed locally in your browser. We do not store it.

What this is

A static visual marker that you read the 198-page curriculum. Useful for a LinkedIn line or a personal site footer.

What it isn't

An accredited credential. There is no quiz, no grader, and no registrar. Anyone who visits this page can claim it.

// recap

The 181 pages, in one sentence each.

01 · Coding Fundamentals (31 pp)
The Python, git, and shell habits the rest of the curriculum assumes.
02 · Platform Coverage (14 pp)
An honest survey of the six platforms most retail automators actually touch.
03 · Backtesting (36 pp)
How to design a backtest that does not lie to you.
04 · Data Engineering (28 pp)
Bars, ticks, vendors, alignment — the boring layer everything else rides on.
05 · Machine Learning (40 pp)
Models that survive contact with markets, and how to tell which ones do not.
06 · Operations / CLI / Recovery (32 pp)
The desk is the system. Procedures, incidents, recovery trees, monitors, and cadence gates.