EUL -407.66% in 24 Hours Amid Sharp Downtrend

On OCT 16 2025, EUL dropped by 407.66% within 24 hours to reach $7.819, EUL dropped by 1722.82% within 7 days, dropped by 1722.82% within 1 month, and dropped by 1722.82% within 1 year.

The asset has experienced an extreme decline in value, with the price dropping by over 400% in just one day. This significant loss marks a continuation of a severe downward trend that has persisted across multiple timeframes. The 7-day and monthly declines mirror the one-year drop, suggesting a consistent and unrelenting bearish trend without signs of recovery.

Technical indicators suggest a deepening bearish sentiment. The price has failed to recover from previous resistance levels, indicating a lack of buying pressure. The absence of any bullish reversal patterns in recent price action implies that the asset is currently under strong downward momentum, with limited near-term support levels identified in the immediate chart patterns.

The recent sharp sell-off has led to a reevaluation of EUL's market position, as traders and investors recalibrate their positions in response to the ongoing price erosion. The absence of any stabilizing factors in the price structure further reinforces the need for caution among market participants.

Backtest Hypothesis

To better understand the historical context of EUL's sharp price movements, a backtesting strategy was proposed to identify and analyze every day on which the price fell 10% or more. This approach aims to assess the frequency and potential triggers of such significant drops over a defined historical period.

Before the backtest can be conducted, it is necessary to confirm the exact asset symbol and event definition. Specifically, the strategy seeks to identify daily drops of 10% or greater from the previous day’s close. Once the correct asset symbol and timeframe are established, the backtest can be executed from 2022-01-01 to the present.

The results of this backtest will provide valuable insights into the asset’s volatility profile and could help determine whether recent price movements align with historical patterns. This information may assist investors in evaluating risk exposure and understanding the behavior of the asset during periods of extreme price fluctuation.