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On NOV 13 2025,
rose by 3.05% within 24 hours to reach $4920, YFI rose by 1.05% within 7 days, rose by 4.49% within 1 month, and dropped by 38.46% within 1 year.Despite a 38.46% decline over the past year, YFI has posted a series of short-term gains, with a 4.49% rise in the past month and a 1.05% increase over the last week. These gains suggest a potential short-term reversal in the asset's performance, although the long-term downtrend remains intact. The 24-hour price increase of 3.05% further underscores the asset’s recent momentum, though analysts caution that the broader market environment and investor sentiment will be key to determining the sustainability of the uptick.
Technical analysis of the recent price action shows YFI has recently broken above a key resistance level, which could serve as a catalyst for further buying interest. However, the asset remains well below its 52-week high and has yet to show signs of a sustainable recovery from the 38.46% annual loss. Market participants are closely watching whether the recent upward trend will continue or if it is merely a short-lived bounce amid an ongoing bearish backdrop.
Backtest Hypothesis
To assess the viability of a potential trading strategy based on YFI’s recent price movement, an event-driven backtesting approach is proposed. The backtest would simulate a strategy of entering long positions in YFI after a 5% single-day price surge, holding the position for five trading days, and exiting at the close of the fifth day or at a stop-loss of 3%. This framework allows for evaluating the historical performance of similar price spikes and measuring the potential profitability or risk of the strategy.
The backtesting period would span from January 1, 2022, to November 13, 2025, covering both bullish and bearish market cycles. The entry trigger is defined as a daily close-to-close return of at least 5%, with the buy order executed at the open of the following trading session. This ensures consistency in execution and avoids the influence of market sentiment during intraday volatility. A trailing stop-loss of 3% would be used to limit downside exposure in case the trade turns against the position.
The results of the backtest would include metrics such as total return, average gain/loss per trade, maximum drawdown, and win/loss ratio. These metrics would help determine whether the strategy is suitable for a risk-averse or more aggressive investor profile. Additionally, the backtest would include a comparison with a buy-and-hold strategy to gauge the strategy’s relative performance.
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