PUMP -88.02% on Strong Sell-Off Amid Volatile Market Conditions

On OCT 14 2025, PUMP dropped by 479.37% within 24 hours to reach $0.004096, PUMP dropped by 2535.24% within 7 days, dropped by 3055.98% within 1 month, and dropped by 824.08% within 1 year.

The sharp decline in PUMP over the past 24 hours reflects heightened market pressure and continued bearish momentum across broader timeframes. The 7-day and 30-day performance indicators show that the token is under extreme sell-side pressure, with cumulative losses far exceeding typical market corrections. This movement suggests a structural shift in sentiment, potentially driven by broader macroeconomic or sector-specific dynamics impacting high-volatility tokens.

Technical indicators suggest that PUMP is in a deeply oversold condition, though such readings often fail to halt further declines in highly speculative assets. The RSI and MACD lines have both moved into bearish territory, with no immediate signs of reversal or accumulation. Traders and analysts are observing whether support levels will hold or if further downward momentum will persist.

Backtest Hypothesis

To better understand the behavior of PUMP and similar assets during sharp sell-offs, a targeted backtesting strategy can be applied. This involves defining a precise market event and analyzing its historical impact. For PUMP, such a backtest could focus on the “down 10%” threshold — commonly interpreted as any trading day where the closing price is at least 10% lower than the prior day’s close.

By applying this event-based rule to PUMP’s price history from 2022-01-01 through 2025-10-14, it becomes possible to identify recurring patterns in price behavior, volume shifts, and recovery timelines. This type of analysis can reveal whether specific market events historically led to short-term rebounds or prolonged bearish cycles.

Such an approach is particularly relevant for PUMP, given its recent performance and the urgency among traders to gauge its potential for recovery or continued decline. This strategy can also be adapted to other tokens by specifying their ticker symbols and defining event triggers based on relevant market conditions.