Trading Strategies 1 min read 24 views

Support and Resistance Trading: How to Find Key Price Levels

Support and resistance levels are the most important concept in technical analysis. Learn how to identify key price levels, trade bounces and breakouts, and understand why these levels work.

PipReaper Team January 22, 2026

What Are Support and Resistance?

Support is a price level where buying pressure is strong enough to prevent further decline. Resistance is where selling pressure prevents further advance. These levels form because markets have memory — traders remember previous reaction points.

How to Identify Key Levels

1. Horizontal Levels

Look for prices where the market has reversed multiple times. The more touches without a break, the stronger the level.

2. Round Numbers

Psychological levels like 1.1000 in EUR/USD or 150.00 in USD/JPY consistently act as support and resistance because large orders cluster at these prices.

3. Previous Highs and Lows

Yesterday's high, last week's low, and monthly extremes are all significant levels that professional traders watch.

4. Dynamic Support/Resistance

Moving averages (especially the 50 and 200 SMA) and trendlines provide moving levels that shift with the trend.

Trading Strategies at Key Levels

The Bounce Strategy

  1. Identify a strong support or resistance level with 2+ previous touches
  2. Wait for price to approach the level
  3. Look for a rejection candle (pin bar, engulfing) at the level
  4. Enter with stop loss beyond the level

The Breakout Strategy

  1. Identify a level that has held multiple times
  2. Wait for a clean close beyond the level
  3. Enter on the retest of the broken level (role reversal)
  4. Stop loss on the other side of the level

Role Reversal: When Support Becomes Resistance

One of the most powerful concepts in technical analysis: once broken, support becomes resistance (and vice versa). This principle provides high-probability entry points on retests.

PipReaper's AI analyses thousands of historical support and resistance interactions to weight its trading signals. The machine learning models learn which levels are most significant for each pair and timeframe, combining this with trend and momentum analysis.

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