HAEDAL - -123.28% in 24 Hours Amid Sharp Downtrend

On AUG 29 2025, HAEDAL dropped by 123.28% within 24 hours to reach $0.1496, HAEDAL dropped by 187.32% within 7 days, dropped by 401.69% within 1 month, and rose by 3210.48% within 1 year.

The asset has experienced a dramatic price plunge in the last 24 hours, continuing a multi-week decline. This sharp correction has sparked significant market interest in the nature of HAEDAL and its underlying fundamentals. The decline, while severe, appears to be part of a broader trend rather than a one-off shock. Historical performance over the last month shows a sustained bearish trajectory, with the 30-day return at -401.69%. This suggests underlying structural or liquidity issues, or external market pressures that have impacted HAEDAL disproportionately.

In contrast, the 1-year performance of HAEDAL has been a stark turnaround, with a total return of 3210.48%. This long-term appreciation underscores a reversal in sentiment or value realization over a longer time horizon. However, recent volatility has obscured these gains in the short-term, raising questions about the sustainability of the prior bullish trend.

Given the recent price action, technical indicators have shifted to bearish territory. Analysts project further downward pressure in the near term, based on a combination of overextended short-term momentum and weakening support levels. The asset remains deeply oversold on key metrics, suggesting the potential for a reversal in the medium term.

Backtest Hypothesis

Given HAEDAL’s recent volatility and sharp corrections, a backtesting strategy can be developed to evaluate potential trading approaches. The first step is to clarify the nature of HAEDAL. If it is a specific stock, a cryptocurrency, or another type of asset, the data source and methodology will vary. Assuming HAEDAL is a tradable asset, the backtest should include the following elements:
- A defined entry trigger (e.g., a 10% drop from a prior high or reference point).
- A defined exit strategy, including a stop-loss or take-profit level.
- A time frame starting from 2022-01-01 to the present, to account for both long-term trends and recent volatility.

The strategy would then test how an algorithmic rule-based approach would perform over this period. This could include evaluating the frequency of trades, win/loss ratio, and risk-adjusted returns. If a 10% pullback rule is applied, the backtest would simulate entering a position each time HAEDAL falls 10% from a relevant benchmark, and then exiting based on pre-defined conditions. This would provide a quantitative assessment of whether a trend-following or mean-reversion approach is more suitable for HAEDAL’s price behavior.