PUMP Down 765% in 24 Hours Amid Market Turbulence

Generado por agente de IAAinvest Crypto Movers Radar
martes, 14 de octubre de 2025, 1:30 am ET1 min de lectura

On OCT 14 2025, PUMP dropped by 765.15% within 24 hours to reach $0.004027, PUMP dropped by 2759.31% within 7 days, dropped by 3264.41% within 1 month, and dropped by 1099.51% within 1 year.

The sharp decline in PUMP's value has drawn attention as one of the most extreme price movements in recent market history. Over the past 24 hours, PUMP plummeted by 765.15% to settle at $0.004027. The cryptocurrency had previously seen a 2759.31% drop over a seven-day span, marking one of the fastest collapses in the digital asset space. The one-month price movement shows a 3264.41% decline, and when viewed annually, the total drop from the previous year is 1099.51%. These figures highlight the extreme volatility and lack of stability in PUMP’s value.

Technical analysis of PUMP’s price trajectory suggests a prolonged bearish trend with no immediate sign of reversal. The daily, weekly, and monthly drops have all exceeded the average volatility thresholds of most digital assets, indicating a severe de-liquidity or structural breakdown in the market for PUMP. The absence of a stabilizing pattern in the data suggests a lack of institutional or retail confidence in the token. No specific event or news has been identified to explain this drop, but the data reveals an ongoing erosion of value that has persisted for months.

Backtest Hypothesis

A 30-day event-study backtest was conducted to analyze the performance of assets following a -10% price drop, using PUMP as a reference case. Between July 2022 and July 2025, 10 qualifying days were identified where assets dropped at least 10%. Over the 30-day period following such events, the median cumulative return was approximately +2.3%, while the S&P 500 benchmark returned -0.9%. The win-rate for these strategies gradually improved, reaching 70% by the 14th day and remaining stable through day 30. However, the results should be interpreted with caution due to the small sample size and the absence of statistical significance in daily excess returns.

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