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A bull trap is a false upside signal: price breaks above resistance, lures buyers in, then reverses lower, trapping them in losing longs. A bear trap is the mirror image: price breaks below support, triggers selling, then rallies back, trapping shorts. Both exploit traders who chase an apparent breakout before it’s confirmed, and both can trigger stop-losses on the wrong side.

A false breakout is when price pushes past a key level but fails to hold, snapping back into the prior range. It often happens because there weren’t enough committed buyers or sellers to sustain the move, or because large participants pushed price to trigger orders. Low volume on the break and a quick rejection are typical warning signs of a fakeout.

A stop hunt is a sharp move that pushes price to levels where many stop-loss orders cluster, usually just beyond obvious support or resistance, then reverses. Triggering those stops adds liquidity and can accelerate the spike. Whether deliberate or just the market gravitating toward liquidity, the effect is the same: traders get stopped out right before price moves back their way.

Wait for confirmation instead of chasing the first break: look for a candle to close beyond the level, a supportive volume increase, or a successful retest that holds. Place stops at logical, slightly less obvious levels rather than the exact round number crowds use. Reduce size around high-impact news. These steps lower the odds of being trapped but never eliminate risk entirely.

Genuine breakouts usually show expanding volume, a decisive close beyond the level, and follow-through in the next few bars, often confirmed by a retest that holds as new support or resistance. Traps tend to break on weak volume, stall immediately, and reverse quickly back into the range. No signal is certain, so confirmation raises probability rather than guaranteeing the outcome.

Entering the instant a level is touched, placing stops at the most obvious price, over-leveraging so a small spike wipes the position, and ignoring the higher-timeframe trend all increase vulnerability. Trading thin, low-liquidity conditions makes fakeouts more common. Managing risk with sensible stops and position sizing on the WrPro platform helps limit damage when a trap does catch you.