A false buy signal where a stock breaks above resistance but quickly reverses downward, trapping buyers who entered expecting a sustained upward move.
A bull trap is a deceptive market pattern where a stock or index breaks above a key resistance level, enticing traders to go long, only to reverse sharply downward. The buyers who entered on the Breakout are "trapped" with losses as the price falls back below the resistance and continues declining.
The mechanics of a bull trap mirror those of a Bear Trap in reverse. First, the price breaks above a well-watched resistance level (e.g., a stock crossing its Fifty-Two Week High/Low or the Nifty crossing a round number). Second, the breakout attracts buying interest from technical traders, momentum algorithms, and retail investors. Third, the move fails — often within 1-5 sessions — and the price reverses below the resistance, triggering stop losses and creating a cascade of selling.
In Indian markets, bull traps frequently occur during earnings season and around derivatives expiry. For example, a stock might gap up 3% on seemingly good quarterly results, drawing in buyers, only to reverse as analysts highlight slowing growth rates or margin compression buried in the details. Options writers (sellers) who benefit from the trapped buyers' stop losses sometimes contribute to engineering these traps.
Identifying bull traps requires attention to volume, context, and follow-through. Key warning signs include: the breakout occurs on below-average volume (genuine breakouts need volume confirmation), the stock is already extended with RSI above 70 (overbought), the broader market or sector is weak (breakout against the grain), and there is no fundamental catalyst justifying the move.
To protect against bull traps, experienced traders use the "close above" rule — only entering a breakout trade after the stock closes above the resistance level on a daily basis, rather than entering on an intraday pierce. They also set tight stop losses just below the broken resistance and size positions conservatively, knowing that even valid breakouts can fail 30-40% of the time.