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On AUG 28 2025, INIT rose by 79.86% within 24 hours to reach $0.3557. INIT dropped by 1064.48% within 7 days, dropped by 1416.08% within 1 month, and rose by 7670% within 1 year. The sharp 24-hour gain stands in contrast to the extended downturns seen in the preceding weeks and months, highlighting the ongoing volatility and speculative nature of the asset.
The recent spike in INIT’s value came despite a broader context of declining market sentiment across major crypto assets. While the 24-hour gain of 79.86% was a notable turnaround, it was not accompanied by significant news or project developments. This suggests the movement may have been driven by short-term speculative activity rather than fundamental factors. Analysts project that the lack of a clear catalyst for the rally could make the price highly susceptible to reversal, especially given the steep declines recorded over the past month and week.
Technical indicators show a highly divergent market environment. Short-term momentum is surging, as reflected in the 24-hour gain, but this is juxtaposed with bearish trends over the 7-day and 30-day periods. The RSI and moving average convergence divergence (MACD) are signaling overbought conditions in the short term, raising questions about the sustainability of the recent rally. Traders are closely monitoring the 0.3557 level, which now acts as a key psychological support and potential reversal point.
Backtest Hypothesis
A backtesting strategy centered on technical indicators could be applied to INIT’s performance in the context of its recent volatility. The strategy would involve setting a dynamic trading signal based on a combination of RSI and MACD crossover triggers. A long entry would be initiated when RSI crosses above 30 and MACD generates a bullish crossover, while a sell signal would occur when RSI crosses below 70 and MACD turns bearish. The goal is to capture short-term rebounds during sharp declines, such as those seen in the week and month-long periods before the recent 24-hour gain. This approach aims to exploit the mean-reverting tendencies observed in INIT’s price behavior.
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