AVNT experiences a 138.11% decline within 24 hours due to intense market fluctuations and tactical adjustments

On September 27, 2025,

plummeted by 138.11% in just one day, dropping to $1.6364—one of the most dramatic declines in its recent trading record. Over the previous week, the digital currency had also fallen 2106.56%, but it staged a remarkable recovery over longer periods: surging 10,100% in the past month and matching that 10,100% growth over the last year. These numbers underscore AVNT’s pronounced price swings and its capacity to recover sharply after steep declines.

The abrupt decrease in AVNT’s price highlights its heightened vulnerability to shifts in market sentiment and liquidity. Market participants noted the absence of clear triggers such as regulatory changes, new product releases, or significant macroeconomic developments, suggesting that algorithm-driven or speculative selling may have been at play. Despite the severity of the correction, there were no indications of widespread disruption in order books or liquidity, implying that AVNT’s trading infrastructure remains robust enough to handle large price moves, though with limited support at crucial price points.

Before this 24-hour plunge, AVNT had spent several weeks consolidating within a narrow range, forming a descending triangle pattern. The sharp decline followed the asset’s inability to break through important resistance levels that had previously fueled upward momentum. In technical analysis, this setup often signals a continuation of bearish trends, especially when accompanied by a surge in trading volume at the breakdown. Observers noted a lack of significant buying after the drop, indicating the possibility that the asset has not yet found a stable bottom.

Looking at the bigger picture, AVNT continues to act as a high-beta cryptocurrency, often amplifying broader sector movements. While the weekly loss is substantial, the gains over the past month and year point to a persistent long-term growth story. This stark difference between short-term losses and long-term gains is typical of speculative assets that can experience sharp corrections during times of market turbulence or rotation.

Analysts tracking AVNT’s short-term outlook have relied on technical tools like the RSI and MACD. The RSI had reached overbought levels before the decline, indicating a potential reversal. Meanwhile, the MACD histogram began to contract ahead of the price drop, reinforcing the idea that downward momentum was building before it became evident in the price. These signals imply that the sell-off was anticipated by technical traders and may have been factored into algorithmic trading models.

Backtest Hypothesis

A suggested trading method aims to harness AVNT’s volatility by using a mean-reversion strategy based on RSI divergence and confirmed by MACD crossovers. The premise is that AVNT frequently enters overbought or oversold zones, offering a statistically favorable setup for systematic trading. The approach involves buying when the RSI dips below 30 and the MACD crosses above its signal line, and selling when the RSI exceeds 70 or the price reaches the 20-period moving average. Stop-losses are set 5% below the entry price. This strategy is designed to capitalize on AVNT’s tendency to rebound from short-term extremes while avoiding trades in stagnant market conditions.