PUMP +7265.66% in 1 Year Amid Technical Reversal

On SEP 18 2025, PUMP dropped by 505.68% within 24 hours to reach $0.007764, PUMP rose by 401.45% within 7 days, rose by 7265.66% within 1 month, and rose by 7265.66% within 1 year.

The token experienced a dramatic intraday correction before reversing sharply in the following week, signaling potential volatility and a strong upward bias in the medium-term. The drop to $0.007764 marked a key support level, which traders and analysts noted as a pivotal moment in PUMP’s price trajectory. The subsequent 401.45% rebound in seven days highlighted a swift reversal from bearish to bullish momentum, with many observers pointing to short-term trading pressure and order flow imbalances as potential factors.

The one-month and one-year gains—both at 7265.66%—underscore an extraordinary performance for the asset, aligning with broader market sentiment and speculative interest. This sharp recovery suggests a re-rating of the asset’s fundamentals or speculative narrative, though such a dramatic move in a short time frame is uncommon and warrants further scrutiny.

The price action also drew attention to the role of technical indicators in identifying turning points. A notable breakdown and subsequent retest of key moving averages occurred, with the 50-period and 200-period lines acting as dynamic levels of support and resistance. These movements were closely watched by technical traders, who adjusted their positions based on the perceived strength of the reversal.

Backtest Hypothesis

A proposed strategy for evaluating the technical setup involves a mean-reversion approach, based on the retest of key moving averages and the observed intraday reversal. The strategy would entail entering a long position upon a confirmed close above the 50-period and 200-period moving average convergence, with a stop loss placed below the previous intraday low. The target would be a measured move from the prior support level. This approach seeks to capture the reversal bias while managing downside risk through structured risk controls.