HEMI -316.62% in 24 Hours Amid Sharp Decline

On OCT 3 2025, HEMI dropped by 316.62% within 24 hours to reach $3.64, HEMI dropped by 1916.3% within 7 days, dropped by 613.81% within 1 month, and dropped by 3595.11% within 1 year.

HEMI’s price has undergone an extreme correction across all major timeframes, with the most severe decline occurring in the last 24-hour window. The asset experienced a 613.81% loss over a one-month horizon, indicating a persistent downward trend rather than a short-term correction. Investors have witnessed a dramatic erosion of value across both short and long-term horizons.

Technical indicators have been largely bearish across all measured intervals, with no signs of stabilization in the near term. The asset has failed to hold above key resistance levels, exacerbating downward pressure. The 7-day drop of 1916.3% highlights the rapid acceleration in losses, which has outpaced the monthly and annual trends. Analysts project further volatility as market participants continue to reassess risk exposure.

The annual decline of 3595.11% underscores a long-term structural shift in investor sentiment, with HEMI no longer being viewed as a core holding by institutional and retail traders alike. The combination of a 613.81% monthly loss and a 1916.3% seven-day loss suggests a compounding negative momentum effect, where each decline has reinforced further downward movement.

Backtest Hypothesis

A backtesting strategy has been proposed to model potential trade scenarios using the technical indicators that have historically influenced HEMI’s price action. The strategy is based on a multi-timeframe analysis that includes key resistance levels, trend lines, and momentum oscillators. The aim is to identify early signs of reversal or continuation within the context of the current bearish trajectory.

The backtest is constructed using a set of predefined rules that activate long or short signals based on the interaction between price and these indicators. The primary goal is to evaluate the robustness of the indicators in predicting the continuation of the current downtrend or identifying potential turning points. The results of the backtest will be used to refine the risk management parameters of the strategy, including stop-loss and take-profit levels.