SUSHI 0.00% in 24Hr Amid Market Volatility and Lock-Up Agreements

SUSHI, a cryptocurrency token, closed at $0.5325 on October 26, 2025, reflecting a 0% change in the past 24 hours. Over the past week, the asset gained 0.76%, but has experienced a 20.38% decline in a one-month timeframe and a significant 60.78% drop over the past year. The price movement indicates a period of volatility, with short-term gains not yet offsetting long-term losses. Analysts project that the token’s near-term performance will remain closely tied to broader market dynamics, including macroeconomic conditions and investor sentiment toward the sector.

Several market events have occurred or are scheduled around this time, including multiple U.S. economic indicators such as unemployment rates and wholesale sales data. However, none of these events are directly tied to SUSHI’s performance, as the cryptocurrency market typically operates independently from traditional economic data. Nevertheless, global macroeconomic conditions often influence investor risk appetite, which can indirectly affect crypto assets like SUSHI.

Notably, several lock-up agreements tied to company shares, including those of Nebius Group N.V. and Lucid Diagnostics Inc., are set to expire on October 26, 2025. These agreements, lasting 46 days from their initiation on September 10, restrict the sale or transfer of certain shares and options by company executives and directors. While not directly related to SUSHI, these corporate actions reflect broader market activity and could influence investor perceptions of liquidity and capital flows in the broader market.

A backtesting strategy has been proposed to evaluate potential price behavior in SUSHI based on historical data. The approach involves identifying event dates and analyzing whether the token has historically dropped by at least 10% within 30 days of an event. However, the backtest encountered two technical issues: a coding error within the event backtest engine, and a division-by-zero error due to at least one day with a recorded closing price of 0. These anomalies prevent the backtest from returning valid results without adjustments to the input data.

One solution is to filter out all event dates where SUSHI’s closing price is zero, along with any 30-day windows that include such dates. This would allow the event backtest to proceed using a cleaned dataset while maintaining the original logic. Alternatively, a strategy backtest could be implemented, where positions are opened on signal dates meeting the 10% decline threshold and closed after 30 days. This method would provide risk and return metrics through the strategy backtest engine, which is more resilient to data inconsistencies. Both options are viable, with the first preserving the original event logic and the second offering greater flexibility in evaluating real-world outcomes.