Curriculum
Eight modules covering setup grading, entries, exits, sizing, discipline, and the recursive learning loop. Module 1 is free forever. During founding preview, Modules 2-8 are open so early customers can judge the full paid curriculum before the launch wall returns.
Every module and long-form article includes optional audio narration — press Play on the lesson page; nothing downloads until you start listening.
Free reading library
These pages sit outside the M1–M8 curriculum. They are for search, pre-funding research, and traders deciding whether the Method fits.
Compression precondition. Anticipatory positioning. Paint + range trigger. HTF target. Session discipline. The actual decision framework I run on every trade, broken down with examples from real journal trades. ~15 minute read.
Hard stop placement. The breakeven trap that kills more winners than losses ever did. Why "our entries turn to support way too often" and the mental-trail rule I use instead. Stops beyond wick zones, targets at labels.
How to enter near a structural HTF label with risk defined just past it — instead of chasing the breakout from above. The 200-tick cost-basis advantage demonstrated on the CL +4R trade. When to chase and when not to.
Wicky-expansion reversal exit. Label-anchored trail with breakeven floor. Paint-flip trail. The three trail rules I use and when each applies. Why I stopped trailing my hard stop forward and started mentally trailing instead.
The 3-tier discrete sizing model (1x base, 2x B, 3x A+). Why size scales to current drawdown, not flat. The annual P&L math: 5 funded × $100/trade × 50% hit × 2.5R × 250 days = $93,750 net. If you can't math it, you're hoping not planning.
Why I don't initiate new trades 3-5pm PT. Why held positions can ride through. Why 7-10am PT and 5-9pm PT are the sweet spots and what to do during the rest of the day. The 5th framework layer that catches sloppy late-day trades.
"Most of my losses come in 1-2 days when it took me 6-7 days to run up the bag." The pattern: 1 loss → forced re-entry → 2nd loss → reverse → 3rd loss → tilt → done. Anti-spiral rules built from real journal evidence.
Layer 4 of the product: every override you log becomes evidence. After 30+ overrides, patterns emerge: "you override wicky-expansion exits on CL — and you're right 75% of the time." The recursive-learning loop that turns the bot from a graders into a coach that learns YOU.