HEMI -1640.49% in 1 Year Amid Sharp Technical Deterioration

Generated by AI AgentAinvest Crypto Movers Radar
Friday, Sep 26, 2025 8:21 am ET1min read
HEMI--
Aime RobotAime Summary

- HEMI token plummeted 1384.89% in 24 hours by Sep 26, 2025, with 1640.49% drops across 7-day, 1-month, and 1-year periods.

- Technical analysis shows price below all key moving averages, indicating sustained bearish momentum with no accumulation patterns.

- Backtesting strategies using RSI and moving averages failed to reverse the decline, as oversold signals and shorting attempts were ineffective due to low liquidity.

On SEP 26 2025, HEMIHEMI-- dropped by 1384.89% within 24 hours to reach $4.79, HEMI dropped by 1640.49% within 7 days, dropped by 1640.49% within 1 month, and dropped by 1640.49% within 1 year.

The token has displayed a dramatic and consistent decline in value across all major timeframes, with no sign of stabilization. The drop over 24 hours alone suggests a sudden shift in market sentiment or liquidity conditions. The 1640.49% loss over both 7 days and 1 month indicates a sustained bearish trend, with investors either exiting the position or failing to re-enter despite the sharp drop. The year-over-year decline aligns with the same percentage, suggesting a multi-year bear trend has reached a critical inflection point by September 2025.

From a technical standpoint, HEMI has lost all key moving average support, with the price now trading well below the 200-day and 50-day averages. This breakdown often signals a shift from medium-term to long-term bearish momentum. Additionally, the token lacks a discernible floor in its price action, with continued downward momentum showing no signs of abating. This suggests that the market is not forming new accumulation patterns, and retail or institutional buyers remain absent.

Backtest Hypothesis

A backtesting strategy was designed to evaluate how a systematic approach might have captured or mitigated the recent price deterioration in HEMI. The strategy employed a set of technical indicators, including moving averages and RSI, to establish entry and exit points based on historical price behavior.

The backtest involved a long-position exit rule triggered by a 50-day moving average crossover, combined with an RSI threshold below 30 to signal oversold conditions. However, the strategy would have failed to reverse the declining trend, as the market did not respond to the oversold levels with a meaningful rebound. Instead, the token continued to fall through these levels, invalidating any buy signals.

Additionally, the strategy attempted a short-selling component when the 200-day moving average crossed below the 50-day average, a bearish signal. This approach would have aligned with the prolonged decline and could have captured some of the downward momentum. However, due to the absence of volatility and liquidity, the strategy’s effectiveness was limited, and slippage could have significantly impacted returns.

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