ZKC -6932.74% in 1 Year Amid Sharp Volatility and Market Downturn

On OCT 8 2025, ZKC dropped by 569.37% within 24 hours to reach $0.2908, ZKC dropped by 1151.37% within 7 days, dropped by 3392.94% within 1 month, and dropped by 6932.74% within 1 year.

The sudden and severe drop in ZKC's value reflects a broader collapse in market sentiment toward the asset class. Over the last 24 hours alone, the price plummeted by nearly 570%, a sharp movement that has left investors reevaluating their exposure to ZKC. This decline has been part of a prolonged trend, with the coin losing over 3300% in value since the start of the month and nearly 6900% compared to its price from a year ago. The rapid depreciation indicates an ongoing liquidity crunch and a loss of confidence in the asset’s fundamentals.

Technical indicators show the price has moved significantly below key support levels, with no immediate signs of stabilizing. The absence of bullish momentum in short-term indicators has heightened concerns among traders about the likelihood of further downward pressure. The price's inability to recover from previous lows has led to widespread selling, compounding the decline and creating a negative feedback loop in the market.

Backtest Hypothesis

To test the resilience of potential trading strategies in the context of ZKC’s performance, a backtesting framework was designed based on the most relevant technical indicators from recent movements. The strategy evaluates whether early signs of divergence in short-term momentum metrics could have offered predictive signals for market exits or mitigated losses during the sharp decline. The backtest assumes a set of predefined rules based on price action and volume behavior, using only the price data from the last 90 days to simulate a realistic scenario for traders.

The hypothesis suggests that early recognition of the trend reversal signals, such as RSI exhaustion and negative divergences on the MACD, may have allowed traders to implement protective measures or exit positions before the significant losses were incurred. By applying a set of filters based on these indicators, the strategy aims to validate whether technical analysis could have improved risk management during the ZKC downturn.