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On SEP 2 2025, INIT surged by 307.1% within 24 hours to reach $0.3318, while the token experienced a 1119.38% drop over 7 days, a 170.89% decline over 1 month, and a 6105% increase over 1 year. The recent 24-hour rally highlights the token’s ongoing volatility and potential for rapid directional shifts.
The 24-hour rally appears to have been fueled by a combination of strategic on-chain activity and a reversal in short-term sentiment. Multiple large transfers were reported across several exchanges, suggesting accumulation by key market participants. This pattern has historically correlated with price rebounds in similar digital assets, though no direct causal link has been established here. Analysts project that continued inflow into major wallet clusters could reinforce the short-term uptrend, although the broader 7-day and 1-month trends remain bearish.
Technical indicators have shown conflicting signals. The RSI entered overbought territory following the 24-hour surge, while the 200-day moving average remains well above the current price. The MACD line showed a positive crossover in the last 24 hours, suggesting bullish momentum. However, the negative divergence between price and volume raises concerns about the sustainability of the recent rally. Traders are closely monitoring key resistance levels ahead of the next major support or resistance test.
Backtest Hypothesis
A proposed backtesting strategy for INIT hinges on using a combination of moving averages and RSI to time entries and exits. The strategy is designed to enter long positions when the 50-day moving average crosses above the 200-day moving average and the RSI falls below 30, indicating oversold conditions. Exit criteria include a close below the 50-day moving average or RSI crossing above 70, signaling overbought levels. This approach aims to capture short-term volatility within a broader bearish trend while minimizing exposure during sharp corrections. Given the recent price action, the strategy could have captured the 24-hour rally if triggered by the oversold RSI condition.
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