PUMP +3524.75% in 7 Days Amid Strong Bullish Momentum

On OCT 2 2025, PUMP dropped by 17.13% within 24 hours to reach $0.006959, PUMP rose by 3524.75% within 7 days, rose by 1758.28% within 1 month, and rose by 5537.54% within 1 year.

The recent sharp 24-hour decline of 17.13% in PUMP’s price has not dampened long-term bullish sentiment, as the asset continues to show robust gains over the past week and month. Despite the short-term pullback, PUMP remains in a strong uptrend, with cumulative returns of over 3,500% in the past seven days and more than 1,700% in the last 30 days. The one-year price increase of 5,537.54% underscores the token’s extraordinary growth trajectory, highlighting its continued appeal among retail and institutional investors.

The rapid price swing appears to be a result of algorithmic trading activity and high-frequency trading strategies, which have historically caused significant volatility in low-cap assets like PUMP. Market participants have observed a retesting of key support levels after the drop, with buying pressure emerging to stabilize the price. Analysts project that this consolidation may lead to a potential resumption of the upward trend if buyers continue to defend critical price zones.

Technical indicators suggest a potential recovery is underway. The 50-day and 200-day moving averages are aligned in a bullish pattern, while the Relative Strength Index (RSI) has moved from oversold territory toward a balanced position. These signals imply that the recent decline may be a healthy retracement rather than a bearish reversal. On-chain data reveals no signs of large outflows or dumping activity, reinforcing the idea that the decline was largely mechanical in nature.

Backtest Hypothesis

To evaluate the sustainability of PUMP’s bullish momentum, a backtesting strategy has been proposed that leverages the same technical indicators currently influencing trader behavior. This strategy incorporates RSI and moving average crossovers as entry and exit signals, with stop-loss and take-profit levels aligned with recent support and resistance structures. The hypothesis tests whether a consistent set of rules could have captured a portion of the recent gains while mitigating risk during the 24-hour pullback. By simulating trades based on these parameters, the backtest aims to validate whether the observed price movement was in line with the model’s predictions or if it deviated from expected outcomes.