A falling wedge has two downward-sloping boundaries that draw closer together. Learn why traders watch its upper boundary, how the trade works and how to assess its historical results.
A falling wedge is a declining price range that narrows over time. Both its highs and lows fall, but the line across the highs falls more steeply than the line under the lows. The two boundaries converge.
Imagine a stock’s daily swings narrowing from a $6 range to a $3 range as it moves lower. This illustrative change makes the wedge easier to see. It describes a smaller range during the decline, while the direction of the next break remains uncertain.
A wedge can form during a pullback in a longer rally or during an extended decline. Use the trend line basics guide to review how its boundaries are drawn.
Use these features to check the shape:
Compare the slopes before naming the pattern. Roughly parallel falling lines form a channel. In a wedge, the distance between the lines decreases.
Compare the boundaries and the move preceding the consolidation to distinguish these related patterns.
A rising wedge has two upward-sloping boundaries, with the lower one rising more steeply.
A descending triangle has a roughly horizontal lower boundary. In a falling wedge both boundaries slope down.
A bull pennant is a small pause immediately after a sharp rally. A falling wedge can form without that rally.
Traders watch a falling wedge for an upward break because the declining range is narrowing. The bullish entry starts only when price reaches the trigger beyond the upper line.
If price continues lower through the wedge, the proposed upward breakout has not occurred. If it breaks upward and then reverses, the position follows the safety-exit rule described below.
The following steps describe TradingPal’s historical simulation. Choose each step on the diagram to see where the price level sits. The risk/reward guide explains how the distance from entry to the safety exit becomes the planned risk, or 1R.
The simulation places its entry trigger above the upper boundary. The pattern must have been established on an earlier daily candle. The first eligible candle to reach the trigger can fill the order. If price gaps past it overnight, the simulation uses the worse opening price.
The planned invalidation level sits below the last low before the breakout. The test closes the trade at the close of a later daily candle beyond that level. Price can overshoot it or gap past it, so the actual loss can exceed the planned 1R.
Measure the pattern’s height at its widest point and project that distance from the entry trigger in the direction of the trade. This is the measured-move target. Reaching the upside target activates a trailing exit based on the 10-day moving average, the average of the last ten daily closing prices. The trade ends on a later close below that average.
The entry trigger sits beyond the breakout boundary. After prior-day establishment, the simulation uses the first eligible fill; a gap can produce a worse opening price.
The table summarizes simulated trades using the entry and exit rules above. Check the direction, sample size and measurement period before comparing rows. These results update when a new historical run is published.
Read win rate together with the size of the wins and losses. A strategy can win half its trades and still gain or lose overall. Average R and profit factor help explain which happened; the track-record metrics guide covers the calculation.
The published pattern group includes shapes that passed later confirmation checks. That can affect which historical trades enter the sample, even when the simulated fill uses prices available at the time. The backtesting methodology explains this limitation and the portfolio assumptions.
Historical results of the simulated strategy described above (2006-10-13 – 2026-09-09), refreshed nightly — not a prediction. How we test →
The examples below are selected completed trades from the historical simulation. Compare the entry and exit in each, including the losing trades. Opening a symbol takes you to its current chart.
Selected for learning, with a mix of wins and losses where available. Closed in the 90 days ending Sep 11, 2026. This selection is not a win-rate sample.
A convincing chart can leave you with questions about what really works. These dated studies explain two findings in plain English, with illustrations, full results and the limits of each comparison.
Removing the confirmed loose wedges reduced the simulated account’s growth. Does a tighter falling wedge make a better trade?
Holding longer improved average trade payoff, but the older multi-pattern account grew more slowly. Can holding through a pullback hurt the whole account?
Our screener re-draws these lines on 2,600+ symbols every night and flags each chart that fits the checklist above. The current matches appear below.
60 fresh falling wedges formed in the last 45 days across our growing universe of 2,600+ scanned symbols (75 charts tracked for this pattern in total). Scan updated Sep 11, 2026.
60 structures found. See example
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See the full offeringA rising wedge has two upward-sloping boundaries that draw closer together.
A descending triangle combines repeated lows near one price with falling highs.
A bullish pennant forms when a sharp rally pauses in a small, narrowing range.
Educational content, not investment advice. Backtest statistics are historical results of a simulated strategy, refreshed nightly — they describe the past, not the next trade.