SD Zone Probability Scoring
Learn how to measure the strength of supply and demand zones using data-driven probability scoring — a powerful method to identify which zones are most likely to hold or fail in the forex market.
PriceActionNinja
Forex Trading Instructor
Video Description
In this complete guide, we break down how to assign probability scores to supply and demand zones to determine which ones are statistically more likely to produce valid reversals or continuations. You’ll learn how to move beyond subjective analysis and apply structured, probability-based decision-making to your zone trading.
By integrating scoring methods that factor in zone freshness, origin strength, time decay, and market context, you’ll gain the ability to filter out weak zones and focus only on the setups with the highest probability of success.
Key Lessons From This Video
Understanding Probability Scoring
Learn how to quantify the strength of supply and demand zones using weighted scoring models that factor in structure, origin, and reaction quality.
Zone Quality Metrics
Discover how to rate zones based on freshness, departure speed, imbalance strength, and number of retests to identify statistically superior setups.
Multi-Timeframe Scoring
Understand how to combine higher and lower timeframe probabilities to create a composite score that filters out conflicting zones.
Case Studies & Real Market Examples
Explore real AUD/USD and EUR/USD examples showing how probability scoring identified high-probability zones before major reversals.