YFI - Down 40.27% Over the Year, Sees 1.42% Increase This Month

As of November 7, 2025, YFI experienced a 0.13% decrease over the past day, settling at $4,786. Over the previous week, YFI gained 1.66%, saw a 1.42% rise in the last month, but suffered a 40.27% decline over the past year.

During the last 24 hours, YFI edged down to $4,786, reflecting a modest 0.13% loss. Despite this brief downturn, the asset has shown signs of recovery over the past week and month. In the last seven days, YFI advanced by 1.66%, and the monthly performance showed a 1.42% uptick, indicating that the market sentiment remains positive in the short term, even after a substantial annual drop.

The pronounced 40.27% decrease over the last year stands in stark contrast to the recent gains, underscoring the asset’s considerable price swings. This significant drop points to a prolonged bearish trend, likely driven by larger economic factors and industry-specific issues. Nevertheless, YFI’s ability to recover in shorter periods may signal both resilience and ongoing investor interest.

The 1.42% increase over the past month suggests that short-term participants might be capitalizing on price dips, anticipating further upward movement. The 1.66% rise in the last week also reinforces the notion that YFI is currently enjoying a phase of relative strength in the near term.

Backtest Hypothesis

To analyze how YFI has historically performed after a major one-year decline of 40.27%, a backtest can be run using the third approach described in the strategy: trading based on drawdown signals. The proposed hypothesis would be to initiate a long position in YFI whenever its price drops by 40.27% or more from its one-year peak. The strategy would then monitor the outcome over a set period, such as 60 days, or until a 10% recovery is reached. The objective is to assess whether such significant declines have typically presented buying opportunities or have signaled further losses.

To enhance the backtest, additional criteria like stop-loss and take-profit thresholds could be incorporated. For example, a 15% stop-loss could help limit exposure to further short-term declines, while a 10% take-profit could secure gains. By applying this method to historical data, its results could be measured against a benchmark or other strategies to evaluate its effectiveness and consistency across various market conditions.