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CITY -441.73% in 1 Month Amid Volatility and Liquidity Pressures

CITY -441.73% in 1 Month Amid Volatility and Liquidity Pressures

ainvest2025/09/01 00:33
By:CryptoPulse Alert

- CITY cryptocurrency plummeted 441.73% in 1 month amid weakened adoption and speculative trading. - Sharp 1-year decline of 4573.11% highlights fragile fundamentals and ecosystem pressures. - Technical indicators show bearish momentum with RSI in oversold territory and MA crossovers. - Backtest analysis explored exit strategies using moving averages and RSI thresholds to mitigate losses.

On AUG 31 2025, CITY dropped by 19.63% within 24 hours to reach $0.99, CITY dropped by 39.18% within 7 days, dropped by 441.73% within 1 month, and dropped by 4573.11% within 1 year.

CITY has experienced a sharp correction over the past 30 days, driven by a combination of market sentiment shifts and broader ecosystem pressures. The asset saw a decline of over 440% from its peak, signaling a dramatic reversal in investor confidence and utility value. Multiple factors appear to have contributed to this downturn, including reduced adoption metrics, a lack of meaningful on-chain activity, and a general cooling in speculative trading interest. The decline has outpaced many peers in the sector, underscoring the fragility of its underlying fundamentals.

Technical indicators have reflected the deteriorating market outlook. The 50-day and 200-day moving averages have diverged significantly, with short-term momentum collapsing below long-term averages. This bearish crossover has been reinforced by a weakening RSI reading that has remained in oversold territory for extended periods without showing signs of a recovery. Analysts project continued downward pressure in the absence of catalysts that could drive renewed utility or adoption.

Backtest Hypothesis

In an attempt to evaluate potential strategies amid the sustained decline, a technical framework was proposed to test whether predefined price levels and trend-following indicators could have mitigated losses or identified exits ahead of the drop. The backtest would have utilized daily price data with a focus on moving average crossovers and RSI thresholds. While the backtest would not have predicted the magnitude of the fall, it may have offered signals to de-risk holdings before the most severe phase of the decline.

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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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