In less than 8 minutes, you’ll learn about open states—the machine learning technology behind them and how to use them for actionable trades. Scroll for quick notes and a step-by-step reading path.
1. First Principles
Support Vector Machine: a supervised machine learning algorithm used for classification and regression
State Machine: a computational model that represents a system with a finite number of states and transitions between those states
Open State: key levels where price action becomes particularly clear and highly predictable for target or reversion
Closed State: when the level has been reached and converted from open to closed - the fractal will indicate this
2. Advantages of Using Open States
Objective Clarity: Removes guesswork through data-driven decision making.
Enhanced Precision: Enables pinpoint trade entries and targets by leveraging fractal geometry and machine learning.
Reduced Risk: Stacked timeframe alignment dramatically boosts probability and reduces uncertainty.
3. Article References For Tools Discussed
Open States
4. What’s Next
Have a question after watching the video? Drop it in the comments—your feedback steers the next lesson.
Thanks for diving in!
