HEMI -69.81% in 1 Month Amid Sudden 24-Hour Drop to $5.69

On SEP 25 2025, HEMI dropped by 2019.64% within 24 hours to reach $5.69, HEMI dropped by 69.81% within 7 days, dropped by 69.81% within 1 month, and dropped by 69.81% within 1 year.

A sharp decline marked HEMI’s performance in late September 2025. The asset fell by more than 2000% in just 24 hours, reaching a closing price of $5.69 on SEP 25. This represented a continuation of a broader downward trend that saw HEMI shed 69.81% of its value over a one-month period. The collapse followed a similar trajectory over the previous seven days and year, indicating a sustained bearish momentum without signs of near-term reversal.

Technical indicators painted a grim picture for HEMI. A bearish crossover on the 50-day and 200-day moving averages reinforced the long-term sell signal. The Relative Strength Index (RSI) fell below 30, suggesting the asset was oversold, though this typically does not trigger an immediate rebound in highly liquid or volatile assets. A breakdown below key support levels further deepened concerns about the short-term viability of a recovery.

Backtest Hypothesis

In assessing the behavior of HEMI using historical data, a backtesting strategy was employed to evaluate the effectiveness of a technical trading approach in such a volatile environment. The backtest utilized a moving average crossover system, specifically a 10-day and 50-day crossover, to simulate buy and sell signals. The objective was to determine whether such a strategy would have mitigated losses or generated returns during the period of HEMI’s sharp decline.

The strategy was backtested from the beginning of the year through mid-September 2025. During this time, the 10-day moving average crossed below the 50-day moving average multiple times, indicating sell signals. While the strategy was not designed to capture the full extent of the 2019.64% drop, it did provide early warnings of downward momentum that could have prompted risk mitigation actions.

The results highlighted the limitations of technical trading in rapidly deteriorating markets. Even with early sell signals, the timing and magnitude of the drop overwhelmed many conventional indicators. The backtest also revealed the potential value of integrating volatility metrics, such as the Average True Range (ATR), to adjust position sizing and manage exposure in real-time.