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UTK surges by 301.89% within a day as it experiences significant short-term fluctuations

UTK surges by 301.89% within a day as it experiences significant short-term fluctuations

Bitget-RWA2025/10/23 04:50
By:Bitget-RWA

- UTK surged 301.89% in 24 hours on Oct 23, 2025, but plummeted 88.17% in seven days and 2,683.77% monthly. - Analysts link UTK's extreme volatility to speculative trading and news-driven swings, contrasting with stable assets. - Technical indicators like RSI and moving averages failed to predict sharp reversals, raising reliability concerns. - A backtest strategy is proposed to evaluate profitability from 5%+ price spikes amid UTK's rapid market swings.

On October 23, 2025,

saw its price skyrocket by 301.89% in just one day, climbing to $0.01872. However, despite this rapid increase, the token has suffered an 88.17% decrease over the last week and a staggering 2,683.77% plunge in the past month. Looking at the yearly trend, UTK has dropped by 4,972.38%. These figures underscore the significant volatility impacting the UTK market, even in the face of its recent sharp rally.

UTK’s price movements in the past few months have been marked by considerable turbulence. After the dramatic one-day jump on October 23, the token has failed to maintain those gains. Experts suggest that this ongoing volatility may reflect broader market patterns, where abrupt price changes are frequent. The scale of UTK’s fluctuations, however, indicates that it might be especially vulnerable to speculative trades or news-driven reactions, more so than larger, more established cryptocurrencies.

Traditional technical analysis tools have found it challenging to keep up with UTK’s recent price swings. Indicators like moving averages and the relative strength index have not provided reliable guidance, often reacting too slowly to sudden reversals. This has raised doubts about the effectiveness of standard technical analysis in predicting UTK’s short-term price direction.

To address this, a backtesting hypothesis has been proposed to analyze how a trading strategy might perform given UTK’s recent volatility. One possible method would be to simulate trades triggered by a 5% daily price jump or similar events. This would involve pinpointing days in the past when the closing price rose by at least 5% and then tracking the subsequent price behavior over a set timeframe. The objective is to see if these events have historically led to profitable trades or simply more volatility, and to evaluate whether a systematic approach could yield consistent returns in such a rapidly changing market.

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