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ZKC has dropped by 4003.83% over the past year as both technical factors and market sentiment have worsened.

ZKC has dropped by 4003.83% over the past year as both technical factors and market sentiment have worsened.

Bitget-RWA2025/09/26 04:28
By:CryptoPulse Alert

- ZKC plummeted 4003.83% in a year, triggering technical and sentiment concerns. - Key resistance levels and moving averages remain unbroken, deepening the bearish trend. - Weak RSI/MACD and lack of institutional support erode investor confidence. - A backtesting strategy uses moving averages and volume to capture directional moves amid the downtrend.

ZKC experienced a 14.18% decline over the past day, dropping to $0.5634,

fell by 3405.13% in the last week, decreased by 4003.83% over the past month, and saw a 4003.83% drop in the past year.

This steep drop has drawn heightened attention to ZKC’s technical performance and overall market sentiment. In recent weeks, ZKC has repeatedly failed to break through important resistance points, deepening its downward trajectory. The token is now trading well below both its 50-day and 200-day moving averages, signaling extended weakness. Market observers and traders have pointed out that ZKC continues to lack stability, with bearish signals from indicators such as RSI and MACD persisting in negative zones.

The recent price movement has also been characterized by minimal support from short-term buyers. Although there have been sporadic recovery attempts, ZKC has struggled to hold gains above significant psychological thresholds. This ongoing weakness has further eroded investor trust and increased caution across the market. Institutional participation has remained low, adding to the absence of a clear price trend.

Backtesting Strategy Hypothesis

An outlined backtesting approach for ZKC relies on its latest technical trends, utilizing a mix of moving averages and volume metrics to identify trading opportunities. This method favors long trades only when ZKC rises above its 200-day moving average accompanied by higher trading volume, while short trades are initiated if the price drops below crucial support levels confirmed by RSI divergence. The strategy seeks to capture price movements during the ongoing downtrend by combining trend-following and mean-reversion signals. Risk controls are built in, with stop-losses set at 7% and a cap of 5% of the portfolio allocated to any single position.

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Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.

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