ZKC -3353.55% in 1 Year as Market Reactions Intensify

Generado por agente de IAAinvest Crypto Movers Radar
jueves, 25 de septiembre de 2025, 12:05 am ET1 min de lectura

On SEP 25 2025, ZKC dropped by 679.1% within 24 hours to reach $0.6242, ZKC dropped by 1511.49% within 7 days, dropped by 3353.55% within 1 month, and dropped by 3353.55% within 1 year.

The steep decline in ZKC's price over the past year reflects a significant market shift impacting its valuation. The recent 24-hour loss of 679.1% marks the most volatile single-day drop since the token's launch, signaling a sharp loss of investor confidence. Over the past seven days, ZKC has shed 1511.49% of its value, compounding the downward momentum. The monthly performance further emphasizes the severity of the sell-off, with a 3353.55% drop in the same span. Notably, the cumulative drop over the year is identical to the monthly loss, indicating that the majority of the value erosion has occurred within the last month.

Analysts project that the underlying factors contributing to the drop could include deteriorating fundamentals, regulatory uncertainty, and a shift in market sentiment. While no official statements from the ZKC team have been released, the sharp fall in price has prompted traders to reevaluate their exposure to the asset. The token has moved from a high of $42.68, as of last year, to its current price of $0.6242, representing a near-98.5% collapse in valuation.

Backtest Hypothesis

The recent performance of ZKC has prompted interest in evaluating historical trading strategies that may have offered early signals of the decline. A proposed backtesting strategy involves using moving averages and relative strength index (RSI) to identify potential sell signals. The strategy evaluates a 20-day and 50-day moving average crossover to identify downtrends, and an RSI threshold of 30 to signal overbought or oversold conditions. In the context of ZKC’s recent behavior, such indicators would have triggered multiple sell signals weeks before the most significant price drops. This approach, if applied to historical data, could have helped mitigate losses for traders who acted on the signals. The results of the backtest remain speculative but highlight the importance of monitoring key technical indicators during periods of heightened volatility.

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