COMP - -175.16% in 24 Hours Amid Market Volatility

On SEP 6 2025, COMP dropped by 175.16% within 24 hours to reach $42.83, COMP rose by 85.17% within 7 days, rose by 40.04% within 1 month, and dropped by 4188.93% within 1 year.

A sharp intraday drop for COMP was noted on SEP 6 2025, marking the largest 24-hour percentage decline in recent weeks. The price movement occurred amid a broader shift in market sentiment and capital rotation across major crypto assets. The rapid decline was attributed to a combination of large liquidations and profit-taking after a sustained upward trend. Despite the single-day drop, COMP’s 7-day trajectory showed a recovery of 85.17%, indicating resilience in the short-term momentum following the sharp correction.

The 1-month return for COMP stood at 40.04%, highlighting a robust recovery trend post the 24-hour downturn. This suggests that the asset may have found support levels that enabled a rebound after the sharp drop. The market appears to have absorbed the correction without triggering a broader selloff, pointing to a potential stabilization phase for COMP. Analysts project that COMP’s performance will continue to be influenced by its on-chain activity and broader crypto market dynamics.

The asset’s 1-year decline of 4188.93% remains a stark contrast to its short-term performance, illustrating the long-term volatility inherent in the crypto market. However, the recent price action does not reflect a fundamental deterioration in the asset’s underlying metrics, but rather a technical response to broader market corrections. The 1-month return of 40.04% has brought some optimism among traders and investors who see it as a potential bottoming pattern.

Backtest Hypothesis

Given the recent price movement, a specific backtesting strategy has been proposed to assess the viability of a trend-following approach based on COMP’s price behavior. The hypothesis involves identifying key technical indicators that may have predicted or explained the sharp 24-hour drop and subsequent rebound. By using moving averages, RSI divergence, and volume profiles, the strategy aims to validate whether early signals could have been detected to trigger a hedging or trading position ahead of the downturn. The strategy is backtested over a 30-day period to evaluate the effectiveness of the indicators in capturing the 1-month return and short-term volatility.