SOMI +1512.71% in 24 hours as Market Sentiment and Trading Volume Surge

On OCT 4 2025, SOMI experienced a dramatic price surge of 1512.71% within 24 hours, reaching $0.9455. The token has gained over 3026.71% in the last week, 3384.21% over a month, and 9444.67% in the past year, signaling a period of intense market activity and renewed investor interest in the asset.

The recent price movement appears to be driven by a combination of strong on-chain activity and a growing interest from retail investors. On-chain data shows a marked increase in wallet activity, with a significant number of new addresses engaging with the SOMI token. This surge in participation has been supported by a corresponding rise in transaction frequency and average trade size, indicating a broader base of market participants moving into the token.

Technical indicators have also aligned with the bullish trend. The Relative Strength Index (RSI) has entered overbought territory, indicating strong short-term momentum. Meanwhile, the Moving Average Convergence Divergence (MACD) remains positive, reinforcing the upward trajectory. These indicators are commonly used in trading strategies to confirm the strength and sustainability of price trends.

Given the recent technical and on-chain developments, analysts project that the upward trend in SOMI may continue in the near term, assuming no major bearish catalysts emerge. However, investors are urged to remain cautious, as extended periods in overbought RSI territory can often precede corrections or consolidation phases.

Backtest Hypothesis

A backtesting strategy has been developed to analyze the potential performance of a hypothetical trading approach based on the technical indicators observed in the SOMI price movement. The strategy is designed to enter long positions when the RSI crosses into overbought territory and the MACD line is above the signal line, while exiting the position when the RSI falls below the overbought level or the MACD line crosses below the signal line.

The hypothesis for the backtest assumes that the recent price behavior reflects a pattern that could be historically repeated in similar market conditions. The strategy aims to capture short-term momentum while managing risk through defined exit points. The use of RSI and MACD in the model is intended to filter out weaker signals and focus on high-probability entries.