A method, not a guru
The trading-education market either promises the infallible method or tells you it's all a casino. There is a third way, almost empty: showing you real accounts and using them as teaching material.
- A declared edge or nothing: for every system, who pays and why they should keep paying
- The backtest as an adversary: single-vote in-sample/out-of-sample, robustness tests, a documented graveyard of dead ideas
- AI as a colleague, not an oracle: I write the spec, the data decides, the review is adversarial
- "No" is a result: I publish failed research too — that's what saves you the most money
