WIF drops 86.52% in 24 hours as markets experience turbulence and rapid shifts on short-term charts

On September 6, 2025, WIF experienced a steep decline of 146.52% in a single day, falling to $0.814. Over the previous week, WIF surged by 604.47%, climbed 306.51% in the past month, but saw a significant drop of 5668.28% over the past year.

WIF’s price has seen dramatic volatility in the past 24 hours, suffering an intraday drop of 146.52%—one of its largest corrections recently. The token reached a low of $0.814 on September 6, reflecting increased vulnerability to liquidity changes and shifts in investor sentiment. This steep decline came after a strong rally over the last week, during which the token soared by more than 600%, highlighting the current volatility and potential overextension.

Technical analysis tools like RSI and MACD indicate divergence, with the RSI sitting below 30, which often points to oversold market conditions. However, the abruptness and depth of the decline may signal a breach of short-term support. The 50-day and 200-day moving averages are significantly higher than the latest price level, indicating a bearish divergence from the longer-term trend. These factors suggest that additional downward momentum could persist in the near future, but a quick recovery remains possible given the token’s recent price swings.

Market experts anticipate that WIF may stabilize before either continuing its upward movement or confirming a more substantial correction. Following the sharp 146.52% drop, traders are monitoring for signs of a potential rebound or an ongoing bearish pattern.

The backtest hypothesis examines a trading approach designed to capitalize on sharp corrections like the one witnessed in the last 24 hours. This strategy combines RSI, MACD, and important moving averages to detect overbought or oversold scenarios. It seeks to exploit brief recoveries after swift declines by entering long trades when the RSI rises above 30 and the MACD line overtakes the signal line. Stop losses are positioned just below recent swing lows, with profit objectives set near previous resistance points. The hypothesis is based on the idea that in highly volatile, fast-reversing markets, such a strategy could provide controlled risk entry opportunities with clear risk-reward setups. Its effectiveness relies on strict risk management and trading discipline, especially during periods of excessive market volatility.