How we write these guides.

Learn exists to answer the questions traders ask about testing a strategy, honestly and in plain English. Using AI lets a small team research and write more pages than we could alone. It never has the last word on what is true: every fact traces to a source or to arithmetic, and a person approves every page.

Who writes them

Learn is published by the Kwaant team, the people building Kwaant, an AI quantitative researcher for retail traders. Because we make a product for testing strategies, we have an interest in this topic, so we say so here. Kwaant is mentioned only where testing a strategy is the natural next step, and it never changes what a page says is true.

Where the questions come from

We write about questions traders really ask: what people type into search engines and questions raised in trading communities. One page answers one question. If a question can’t be answered honestly without giving advice or making a promise, we don’t write the page.

How a page is made

1. Research. An AI model reads the pages that already answer the question, then goes to stronger sources: published research, exchanges and regulators, textbooks, and experienced practitioners’ own writing. Every fact and number must trace to a named source or to arithmetic shown on the page, and the main sources are listed at the end.
2. A draft, written with AI. An AI model drafts the page from that research, following our written rules for accuracy, plain language and examples.
3. Rule checks. Code checks every draft for banned names, risky wording, sources, links and format before anyone reviews it.
4. Independent checks. Separate AI reviewers that didn’t write the draft check every fact and number against its source or redo the arithmetic, judge it as an editor against the best existing answers to the question, and read every sentence for advice or promises. The draft is rewritten until all of them pass.
5. A person approves it. Someone on the Kwaant team reads the finished page exactly as it will appear, then approves it, sends it back with notes, or rejects it. Nothing is published without that approval.

Some guides, such as the ones with calculators, are written in working sessions between our team and an AI model instead. They’re checked by separate AI reviewers too, and need the same approval before they’re published.

The rules every page follows

• Education, not advice. We explain how to test and judge a strategy. We never tell you what to trade or how much. Trading carries real risk: read our risk disclaimer.
• No promises. Nothing about guaranteed profits, passing a prop firm challenge, or any certain outcome. Evidence from the past is not a promise about the future.
• No real market data in examples. Examples use made-up numbers, not real trades or prices, and figures are computer-drawn illustrations, not real market data. We don’t publish Kwaant’s own test results.
• Sources you can check. When a guide relies on research or official sources, it names them and links them where they’re online.
• No endorsements. We never name prop firms, and we don’t rate or recommend firms or trading platforms (a platform’s own documentation is sometimes cited as a source). Learn has no ads, sponsored pages or affiliate links.

Corrections

If you find a mistake, email hello@kwaant.com and tell us which page and sentence. We check it against the sources and fix the page if it’s wrong.