ZKC -398.47% on 24-Hour Slide Amid Extended Decline

On SEP 24 2025, ZKC dropped by 401.99% within 24 hours to reach $0.6939, ZKC dropped by 555.93% within 7 days, dropped by 2605.36% within 1 month, and dropped by 2605.36% within 1 year.

The steep decline continued to reflect heightened bearish pressure across all measured timeframes. Over the past week, the token lost more than half its value, amplifying concerns regarding liquidity and investor sentiment. Despite no new major announcements or regulatory actions tied directly to ZKC, the market has continued to react with sustained selling pressure, indicating a broader loss of confidence in the asset.

Technical indicators show a prolonged sell-off trend, with multiple key metrics aligning in a bearish configuration. The Moving Average Convergence Divergence (MACD) has remained negative for the past two months, signaling a continuation of downward momentum. Similarly, the Relative Strength Index (RSI) has stayed below 30—a strong bearish signal—indicating oversold conditions. These metrics suggest a continuation of the downward trajectory, though caution is advised as extreme RSI readings can sometimes precede short-term reversals.

Backtest Hypothesis

The backtesting strategy under analysis is based on a combination of RSI and MACD signals. The approach involves entering long positions when RSI crosses above 30 while the MACD line is above the signal line, and exiting when RSI crosses back below 30 or the MACD line crosses below the signal line. The strategy is designed to capture rebounds from oversold conditions while filtering out prolonged downtrends.

Applied to historical ZKC data, the backtest aims to determine whether the strategy would have effectively captured short-term rebounds amid the extended decline. Initial results indicate that while the strategy managed to capture a few smaller rebounds, it was frequently invalidated due to the persistent bearish environment. The frequency of false signals—where the RSI rebounded only briefly—suggests a high rate of noise in the data, limiting the strategy’s efficacy in a sustained downtrend.