SUSHI Drops 3.37% on OCT 30 2025 Amid Broader Price Deterioration

On OCT 30 2025, SUSHI experienced a 3.37% decline in 24 hours, closing at $0.5141. This marked a continuation of a broader downward trend, with the token falling 4.9% in the last week, 24.28% in the past month, and 62.7% over the past year. The decline raises questions about the sustainability of SUSHI’s recent price levels and reflects broader market sentiment amid macroeconomic uncertainties.

The 24-hour drop aligns with a pattern of declining investor confidence, as evidenced by the token’s underperformance across multiple timeframes. The 62.7% annual drop suggests that long-term holders have faced significant capital erosion, while the 3.37% daily move highlights the heightened sensitivity of the market to external catalysts—whether real or perceived. Despite a lack of specific news directly tied to SUSHI, the price movement underscores the token’s vulnerability to broader market dynamics.

Technical indicators currently show SUSHI in a bearish trend, with key support levels at risk of being breached. The token’s recent behavior has been influenced by broader market sentiment, including macroeconomic caution and sector-specific volatility. Investors and traders are closely watching for signs of stabilization or further deterioration, with price action likely to remain a leading indicator of on-chain activity and market confidence.

The downward trajectory also highlights the importance of liquidity and trading infrastructure in sustaining market resilience. Without sufficient depth in buy-side volume or strong inflows from institutional or retail participants, SUSHI remains exposed to rapid price swings. Analysts project that a continuation of the current trend could lead to further declines, especially if macroeconomic indicators fail to improve or if sector-specific risks intensify.

Backtest Hypothesis

To evaluate SUSHI’s potential for recovery or further decline, a backtesting strategy can be applied using historical price movements as a proxy for future behavior. One approach is the Event-Impact backtest, which assesses how the token has historically responded to large daily price swings—such as a -10% intraday drop. This method helps determine whether past volatility has led to subsequent price corrections or rebounds.

However, implementing this strategy on SUSHI data encounters challenges. The backtest engine encountered a division-by-zero error on at least one event date where the recorded price was zero, invalidating the return calculation. Additionally, a missing import in the code temporarily halted the process. To address these issues, the data must be cleaned to exclude event dates with zero or missing prices, and the analysis window can be capped to limit exposure to outlier events. A revised approach using a 15-trading-day window post-event could provide a more stable dataset while preserving the intent of the backtest.