01
Market regimes and condition map
Classify trend, range and abnormal volatility before selecting a setup.
35 min · practical exerciseTrading Mastery Lab
Build, validate and operate a measurable discretionary trading system.
Syllabus & exercises
0/12
🔒
02
Clean multi-timeframe analysis
Build a Context → Setup → Trigger chain.
38 min · practical exercise03
Setup engineering and entry rules
Turn a visual idea into a testable checklist.
42 min · practical exercise04
Sessions and event risk
Session behavior and a protocol for scheduled event risk.
32 min · practical exercise05
Entry, exit and trade management
Consistent rules for entry, SL, TP, BE and partials.
40 min · practical exercise06
Personal risk engine
Trade, daily, weekly and correlation risk.
36 min · practical exercise07
Journal analytics
Review MAE/MFE, execution quality and rule adherence.
34 min · practical exercise08
Manual backtest and replay
Build a historical sample without look-ahead bias.
45 min · practical exercise09
Expectancy, drawdown and outcome distribution
Treat performance as a distribution rather than a few good trades.
35 min · practical exercise10
Process psychology
Use environment, rules and review loops instead of motivation slogans.
33 min · practical exercise11
Build the final playbook
Combine setup, risk, sessions and management into an operating playbook.
40 min · practical exercise12
Capstone: 50-trade validation
Run a fixed sample and make a Go/Revise/Stop decision.
50 min · practical exercise