PEPEJPY Drops 132.04% in 24 Hours Amid Sharp Short-Term Volatility

On SEP 6 2025, the memecoin pair PEPEJPY experienced a dramatic 132.04% drop within 24 hours, closing at $0.001428. Despite this sharp decline, the 7-day performance showed a 193.83% increase, highlighting the pair’s volatile nature. Over a 30-day horizon, the price dipped by 14.06%, while the annual performance recorded an extreme 4982.33% drop, indicating a challenging long-term outlook.

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The pair's sudden 24-hour drop suggests exposure to a broader market selloff or a specific event influencing high-beta assets. Analysts note that memecoins often experience exaggerated price swings in response to news, sentiment, or liquidity shifts. However, no specific trigger for the fall was disclosed in the available data. The 7-day rebound of 193.83% indicates a swift recovery mechanism, potentially driven by speculative buying or algorithmic trading activity.

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Technical indicators show PEPEJPY has historically struggled to maintain positive momentum. The RSI remains in oversold territory following the 24-hour drop, though it has rebounded over the last seven days. The 50-day moving average currently sits above the 200-day line, a potential sign of short-term bearish bias. Traders are closely monitoring the 50-day line for a potential reversal in sentiment.

Backtest Hypothesis

A proposed trading strategy for PEPEJPY involves a mean-reversion approach based on RSI and moving average crossover signals. The hypothesis assumes that following a significant drop like the 132.04% 24-hour decline, the asset may revert to its mean within a short time frame, particularly when RSI enters oversold territory. A buy signal would be triggered when RSI crosses below 30 and the 20-day moving average crosses above the 50-day line, with a stop-loss placed below the previous swing low. The strategy would close the position when RSI crosses above 70 or when the 20-day line falls below the 50-day line. This approach is designed to capture short-term volatility while managing exposure in a low-liquidity environment.

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