SOMI Drops by 1007.76% Within 24 Hours Following Unexpected Market Fluctuation
- SOMI’s 24-hour price plunge of 1007.76% to $1.0338 triggered market speculation about catalysts like profit-taking and algorithmic trading. - Technical indicators show oversold RSI, negative MACD, and diverging moving averages signaling potential bear market conditions. - A backtesting strategy using RSI/MACD divergence and fixed stop-loss could theoretically capture downward momentum during volatile selloffs. - The hypothesis assumes sustained volatility and sufficient liquidity, but does not predict fu
On September 22, 2025, SOMI saw its price plummet by 1007.76% in just one day, ending at $1.0338. Over the previous week, the token had fallen by 1805.69%. This is in stark contrast to the gains of 10,982.51% recorded over the last month and year. The steep drop in the past 24 hours stands out as one of the most significant rapid corrections in the token’s history, leading to swift debate among analysts about possible triggers.
This abrupt decline took place during a wider market downturn impacting various assets. Although the team behind the project did not release any formal comment, blockchain data points to a mix of long-term holders taking profits and a spike in short-term liquidations. Traders observed irregular activity before the drop, such as a sudden surge in sell orders and a drop in buying activity. Experts believe this sell-off could be attributed to a combination of algorithm-driven trades and changing trader sentiment, rather than any fundamental change to the project itself.
Technical analysis reveals that the price fell below important support zones after the decline. The Relative Strength Index (RSI) moved into an oversold state, and the MACD histogram shifted to negative, signaling downward momentum. The gap between the 50-day and 200-day moving averages has widened, with the 50-day average now below the 200-day—a pattern often associated with bearish trends.
Backtesting Strategy Hypothesis
SOMI’s technical setup highlights the potential for tactical short-term trades. A backtesting approach that targets RSI and MACD divergences, along with a set stop-loss at significant support points, might theoretically have taken advantage of the sharp decline during the 24-hour drop. The approach would call for opening short positions when the RSI is above 70 and the MACD line falls below the signal line, with stop-loss orders set at the closest support. If the downward trend continues, the position is maintained until the RSI dips below 30 or a reversal appears.
This hypothesis is based on the assumption that volatility and liquidity will remain high enough to allow effective trade execution. Although this strategy does not predict future price action, it demonstrates how past volatility and technical signals might be used in a systematic and controlled trading plan.
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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