Supply & Demand Course Progress

4 of 15 Lessons
2
Why SD Beats Indicators
3
SD vs SR
4
Current
5
Identifying SD Zones
5
6

The Characteristics Of Strong Supply & Demand Zones

Lesson 4: What Makes a Strong Supply or Demand Zone?

Reading time: 18 minutes

Identifying High-Probability Supply and Demand Zones

Welcome to the fourth lesson in our forex trading course. By now, you understand the basic concepts of supply and demand and why they offer advantages over indicators. In this lesson, we'll explain what makes certain zones more reliable than others, helping you identify the highest-probability trading opportunities.

Key Concept: Not all supply and demand zones are created equal. The most profitable trades come from identifying zones with specific characteristics that indicate strong institutional interest and unfinished business.

TLDR Summary

  • Strong zones show sharp price movement away (strength of rejection)
  • Fresh, untested zones have higher probability of working
  • Zones with fewer candles (1-3) indicate strong imbalance
  • Higher timeframe zones are more significant than lower timeframes
  • Confluence with other technical factors increases zone strength

The 5 Key Characteristics of Strong Zones

When analyzing potential supply and demand zones, look for these five critical characteristics that indicate higher-probability trading opportunities:

Strong Supply and Demand Zone Characteristics

Figure 1: Visual representation of the 5 key characteristics that make strong supply and demand zones.

1. Strength of Departure

The most reliable zones show a sharp, decisive movement away from the level, indicating a significant imbalance between buyers and sellers.

  • Strong Zone: Price moves aggressively away with large-bodied candles and minimal retracement
  • Weak Zone: Price departure is slow, hesitant, or shows multiple retracements
  • The stronger the departure, the more likely institutional orders remain at that level
Strong Departure Example
Strong Departure Example

Notice the large-bodied bullish candles showing strong momentum away from the demand zone.

Weak Departure Example
Weak Departure Example

This zone shows hesitant movement with small candles and multiple retracements, indicating lower probability.

2. Freshness of the Zone

A zone that has not been tested multiple times has higher odds of holding when price returns. Each time price tests a zone, some of the orders get filled, weakening its future effectiveness.

Trading Principle: Fresh zones represent unfilled orders and "unfinished business" in the market. The more times a zone has been tested, the more its strength diminishes as orders are gradually filled.
Fresh vs Tested Zones Comparison

Figure 2: Comparison showing how a fresh zone (left) shows stronger reaction than a zone that has been tested multiple times (right).

3. Base Compression

The tighter and more compressed the base of the zone (fewer candles), the stronger the imbalance between buyers and sellers. This indicates a rapid shift in market sentiment.

Compressed Base (Strong)
Compressed Base Example

1-3 candles forming the base indicates strong institutional interest and a clean imbalance.

Extended Base (Weak)
Extended Base Example

Many candles forming the base suggests a balanced market rather than a strong imbalance.

"The most explosive moves come from zones where price hardly spent any time consolidating before moving sharply away. This compression indicates that one side of the market (buyers or sellers) was completely overwhelmed."

4. Timeframe Significance

Zones identified on higher timeframes generally have more significance than those on lower timeframes, as they represent larger institutional interest and more substantial order flow.

Timeframe Hierarchy (From Strongest to Weakest)
  1. 1 Monthly/Weekly: Represent major institutional decisions with long-term impact
  2. 2 Daily: Show significant institutional interest but with medium-term outlook
  3. 3 4-Hour: Balanced between institutional and retail trader influence
  4. 4 1-Hour: More retail trader influence but still significant
  5. 5 Lower TFs: (15m, 5m, 1m) Primarily retail trader activity, higher noise
Timeframe Comparison

Figure 3: Same currency pair showing how a daily timeframe zone (top) has more significant price reaction than a 15-minute zone (bottom).

5. Confluence with Other Factors

Supply and demand zones become even stronger when they align with other technical factors. Look for these forms of confluence to identify the highest-probability zones:

Round Numbers

Psychological levels like 1.3000, 1.3500 where institutions often place orders

Trend Lines

Where zones align with significant trend lines or channels

Fibonacci Levels

Zones that coincide with key Fibonacci retracement or extension levels

Previous S/R

Zones that align with previously significant support or resistance areas

Moving Averages

Key moving averages (e.g., 50, 200) acting as dynamic support/resistance

Confluence Example

Figure 4: A demand zone aligning with a round number, Fibonacci level, and previous support, creating strong confluence.

Applying These Characteristics in Trading

To effectively use these characteristics, follow these steps when analyzing charts:

  1. Start with Higher Timeframes: Identify zones on monthly, weekly, or daily charts for the most significant levels.
  2. Look for Compression: Check if the zone has a tight base (1-3 candles) indicating strong imbalance.
  3. Evaluate Departure: Confirm the zone shows a sharp, decisive move away with large candles.
  4. Check Freshness: Prioritize untested or minimally tested zones for higher probability.
  5. Seek Confluence: Combine the zone with other technical factors like round numbers, Fibonacci levels, or trend lines.
Pro Tip: Use a checklist to evaluate each zone. A zone that ticks all five boxes (strong departure, fresh, compressed, higher timeframe, confluence) is a high-probability setup worth trading.

Test Your Knowledge

Quiz: Identifying Strong Supply and Demand Zones

1. What indicates a strong departure from a supply or demand zone?

2. Why are fresh zones more reliable?

3. Which timeframe has the most significant zones?