PUMP -1503.78% 1Y - Sharp Decline Amid Market Turbulence

On OCT 10 2025, PUMP dropped by 641.49% within 24 hours to reach $0.005171, PUMP dropped by 1930.51% within 7 days, dropped by 1294.34% within 1 month, and rose by 1503.78% within 1 year.

The digital asset PUMP has experienced one of the most dramatic short-term price corrections in recent memory, tumbling 641.49% in a single 24-hour period. The sharp decline has drawn significant attention from market observers and traders, who are now scrutinizing the underlying factors behind the collapse. With the asset settling at $0.005171 as of OCT 10 2025, PUMP has faced an extraordinary reversal in sentiment that has raised concerns about its sustainability as a long-term investment.

Technical analysts have noted a strong breakdown in key support levels over the past week, with no meaningful recovery observed in the following days. This pattern is typically associated with high volatility and weak demand. PUMP’s 1294.34% drop over a month has erased nearly all gains from previous months and positioned the asset at a multi-month low. The decline is not just a short-term anomaly but rather a continuation of a broader bearish trend that has persisted through recent weeks and months.

The 1503.78% rise over one year indicates that PUMP had previously captured significant investor interest, possibly due to speculative trading or hype-driven narratives. However, the recent correction appears to reflect a sharp unwinding of that sentiment. Analysts project that the asset may require a sustained period of consolidation before any meaningful bullish momentum can be reestablished.

Backtest Hypothesis

Given the recent price action, technical analysts have proposed a backtesting strategy to evaluate the asset's performance under various market conditions. The approach centers on using moving averages and RSI (Relative Strength Index) to identify potential entry and exit points. By testing historical data against the current setup, traders aim to assess whether PUMP’s recent behavior aligns with established patterns or is an outlier in the broader market context.

The strategy involves monitoring the 50-period and 200-period moving averages to detect trend changes, with crossover signals used to determine directional bias. RSI readings are also evaluated to confirm overbought or oversold conditions, which can help filter out false breakouts or exhaustion points. The goal is to backtest these indicators across multiple timeframes to determine if they would have provided actionable signals ahead of the recent collapse.