ZKC +39.23% in 24 Hours Amid Sharp Volatility Amid Technical Indicators

On OCT 8 2025, ZKC rose by 39.23% within 24 hours to reach $0.3026, ZKC dropped by 1057.08% within 7 days, dropped by 2959.65% within 1 month, and dropped by 6731.59% within 1 year.

The recent surge in ZKC price has triggered renewed attention within the digital asset market. This sharp 24-hour gain follows a broader period of extreme volatility, which has seen the token fall by over 1,000% in seven days and nearly 3,000% over a month. The price movement has been attributed to a combination of algorithmic trading patterns, liquidity shifts, and speculative interest, though no official statements from project stakeholders have been released.

Analysts project that the rapid price correction seen over the past several weeks has created a short-term floor for the asset, prompting algorithmic and retail traders to test the strength of this level. The 39% increase is not indicative of a trend reversal but rather a retracement within a broader bearish pattern. Technical indicators suggest that the move may not be sustained unless additional catalysts emerge.

From a technical standpoint, ZKC's price has historically operated within a tight range of key support and resistance levels. The 24-hour rise on OCT 8 appears to have tested the immediate support area at $0.26, with a closing price above this threshold suggesting temporary stability. However, the longer-term trend remains bearish, with multiple indicators—such as the Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD)—suggesting continued downward momentum. The RSI has yet to enter overbought territory, indicating that the current move is not signaling a long-term bullish trend.

The backtest of a potential trading strategy is being developed to assess whether short-term volatility can be leveraged using a range-bound approach. This strategy would utilize a defined price channel to establish buy and sell triggers based on the historical behavior of ZKC. The aim is to simulate how a range-trading model would have performed within the context of ZKC’s recent volatility, with a focus on risk-to-reward ratios and stop-loss placement.