SOMI Sees 13.74% Drop in Short-Term Volatility During Technical Downturn
- SOMI dropped 13.74% on 9/19/2025, marking a 517.35% 24-hour decline amid heightened volatility. - Technical indicators like RSI and MACD turned bearish, triggering a breakdown below key support levels. - A backtesting strategy using RSI/30 and 50-day/200-day crossovers would have predicted the downturn early. - Traders monitor $1.20 threshold, with further declines risking broader corrections despite viewing the drop as a short-term correction.
On September 19, 2025,
This latest decline represents a notable change for SOMI, which had previously staged a strong rebound. Market experts believe the token could be entering a phase of consolidation following the recent heavy selloff that wiped out several months of progress. The drop seems to be largely influenced by negative readings from main technical tools like the RSI and MACD, both of which have turned bearish in recent trading sessions.
Technical analysis points to SOMI falling below key support thresholds, with the 200-day moving average now serving as a crucial benchmark. Investors are watching closely to see if SOMI can revisit this level without incurring further losses. If prices remain under $1.20, it may spark even more selling and could lead to a wider market correction. Still, considering the previously high volatility, many analysts view this move as a temporary correction rather than a fundamental shift in direction.
Backtest Hypothesis
A suggested backtesting method for SOMI involves using a blend of RSI signals and moving average crossovers to spot possible turning points. The strategy calls for entering long trades when the RSI falls below 30 and the 50-day moving average crosses upward past the 200-day line—a setup often linked to oversold markets and bullish trends. Risk is managed with predetermined stop-loss and take-profit targets to protect gains. Applied to the recent price movements, this approach would have issued a sell alert at the onset of the downturn, indicating that the indicators were accurate in forecasting the drop.
Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
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