ZKC Dips 8151.34% in a Year Amid Broader Market Turmoil

On OCT 12 2025, ZKC dropped by 247.05% within 24 hours to reach $0.1716, ZKC dropped by 4321.67% within 7 days, dropped by 6017.88% within 1 month, and dropped by 8151.34% within 1 year.

The sharp drop has raised concerns about the token’s liquidity and long-term viability, with many observers pointing to broader market pressures rather than token-specific developments. The extended decline over both short- and long-term periods suggests a systemic shift rather than a discrete event-driven downturn. Analysts have noted that the price trajectory aligns with patterns seen in other assets that have lost significant market confidence in recent cycles.

Technical indicators show a deepening bearish trend, with key resistance levels long broken and price failing to rebound meaningfully. The token’s one-year performance has seen a near-complete erosion of value, which has led to widespread sell-offs and reduced trading interest. These metrics, while not predictive on their own, highlight the severity of the current bear market and the challenges of identifying short-term recovery signals.

The token's prolonged downturn has also affected stakeholder sentiment. Investors and developers have yet to signal a turnaround strategy, with little to no major announcements over the past several months. This absence of action has contributed to the continued selling pressure and reduced speculative interest. While ZKC has historically shown volatility, the recent drop has exceeded even the most severe corrections seen in the previous cycle.

Backtest Hypothesis

In evaluating the token’s technical behavior, a potential backtesting strategy could be developed to analyze whether historical price patterns could have predicted or mitigated the current downturn. A strategy based on moving average crossovers, relative strength index (RSR) thresholds, and volume-based triggers might have been tested against ZKC’s historical data to assess its effectiveness in navigating the bearish trend.

Such a backtest could examine the utility of early sell signals based on RSI divergences and negative volume trends in the months leading up to the sharp decline. A combination of these metrics might have provided traders with earlier warnings of deteriorating market sentiment. However, the depth and speed of the drop challenge even robust technical models, suggesting that systemic risk factors often override traditional indicators during extreme volatility.