SOMI Experiences 24H Decline of 328.63% During Unstable Market Adjustment
- SOMI plunged 433.63% in 24 hours amid a 2620.14% weekly drop, contrasting with 7681.04% gains over one month and one year. - Technical analysis shows RSI entering overbought territory while MACD remains bearish, signaling mixed short-term momentum signals. - A proposed RSI-MACD backtesting strategy aims to filter volatile trades by using dual indicators for entry/exit decisions during extreme price swings. - The strategy tests 30-day historical data with 10% stop-loss and 20% take-profit parameters to ev
On SEP 25 2025,
Market participants and analysts are closely watching SOMI’s steep single-day drop, which erased more than 430% of its value. This sharp fall extended a week-long downward trend, during which the token lost nearly 2600% across seven sessions. Despite this recent volatility, SOMI’s one-month and one-year charts reveal a remarkable 7681.04% rebound, highlighting the asset’s pronounced long-term price swings.
Technical analysis indicates that SOMI’s latest movements have challenged several key historical support and resistance points. The RSI, which had previously indicated the asset was overbought, now sits in overbought territory, pointing to a possible slowdown in the current bearish trend. Meanwhile, the MACD continues to move downward, suggesting that bearish momentum could persist in the short term.
Backtest Hypothesis
The suggested backtesting method relies on both the RSI and MACD as confirmation tools for trade entries and exits. The core idea is that when the RSI drops below 30 (signaling an overbought state) and the MACD line crosses above its signal line, a long trade is opened. Conversely, if the RSI climbs above 70 and the MACD line crosses beneath the signal line, the position is closed. This dual-indicator strategy is intended to minimize false signals and limit exposure to erratic market moves.
This approach would be evaluated over the latest 30-day window, encompassing both the sharp selloff and the subsequent rally. By applying the method to historical price action, analysts can gauge its potential for profit and its effectiveness in managing risk during periods of heightened volatility. The initial setup would use a 10% stop-loss and a 20% take-profit, with trade sizes adjusted according to volatility measures.
This strategy is crafted to match the technical trends observed, where the RSI has signaled possible overbought fatigue and the MACD has offered directional cues. If proven effective, this approach could provide a structured way to navigate the dramatic price swings that have recently defined SOMI’s market activity.
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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