SOMI -13370.63% in 1 Year Amid Market Volatility

On SEP 21 2025, SOMI dropped by 243.67% within 24 hours to reach $1.144, SOMI dropped by 1193.47% within 7 days, rose by 13370.63% within 1 month, and rose by 13370.63% within 1 year.

SOMI has shown a dramatic price movement over the last year despite a sharp decline in the past week. The token reached a significant milestone with a 13,370.63% increase over the past 365 days. This long-term upward trend contrasts with the recent short-term volatility, illustrating the unpredictable nature of the market. Analysts project that such swings may reflect broader market conditions and investor sentiment shifts rather than intrinsic changes to the asset itself.

The technical indicators for SOMI reveal mixed signals. While the monthly and yearly trends remain bullish, the 7-day and 24-hour declines have raised concerns about short-term stability. Traders monitoring the RSI and MACD lines noted a recent divergence between price and momentum, suggesting potential exhaustion in the downward move. This creates an environment where cautious traders may look for signs of a reversal or consolidation before committing to new positions.

Backtest Hypothesis

Based on the technical indicators, a backtesting strategy has been developed to evaluate the potential outcomes of a structured trading approach over the past year. The hypothesis assumes a set of predefined rules: entries are triggered when the 50-day moving average crosses above the 200-day line (golden cross), and exits occur when the reverse occurs (death cross). Stop-loss and take-profit levels are dynamically set at 2x ATR (Average True Range) to manage risk.

The backtest is applied retroactively to the past 12 months, capturing the entire 13,370.63% surge. This approach aims to determine whether a systematic entry and exit strategy could have capitalized on the long-term gains while mitigating the sharp declines seen in the last week. Given the divergence in short-term indicators and the strong yearly trend, the backtest could also provide insights into the effectiveness of trend-following strategies in high-volatility environments.