AVNT Dips 689.87% in 24 Hours Amid Market Correction

On SEP 19 2025, AVNT dropped by 689.87% within 24 hours to reach $1.0245, marking one of the most significant short-term declines in its trading history. Over the same week, however, the token demonstrated a sharp rebound, surging by 2645.68% from its recent low. This volatile movement underscores the unpredictable nature of AVNT’s price dynamics and highlights the broader speculative interest surrounding the asset.

The sudden drop followed a period of rapid accumulation and speculative buying, suggesting the market was correcting a prior overbought condition. Traders and analysts have noted that the decline was primarily driven by profit-taking following the 2645.68% surge in the preceding week. This sharp reversal indicates potential exhaustion of bullish momentum and the likelihood of a near-term trading range.

Technical indicators suggest a potential continuation of the downward correction. The relative strength index (RSI) fell below the oversold threshold, while the moving average convergence divergence (MACD) showed a bearish crossover. These signals are often interpreted as early signs of market exhaustion and possible trend reversal, though further confirmation is needed from future price action.

Despite the recent dip, AVNT’s price has maintained a strong trajectory over the past month and year, both seeing a 2645.68% increase. This suggests underlying bullish fundamentals or speculative positioning that may continue to support the token, even amid short-term turbulence. However, the 24-hour drop serves as a cautionary sign that volatility remains a defining feature of AVNT’s market profile.

Backtest Hypothesis

A proposed backtesting strategy has been developed to evaluate the performance of AVNT under similar market conditions. The strategy focuses on key technical indicators, including RSI and MACD, which have historically provided leading signals of market sentiment shifts. The hypothesis is that a combination of RSI divergence and MACD crossovers could have predicted the recent sharp correction in AVNT’s price.

The strategy outlines entry and exit rules based on these signals, with a stop-loss mechanism to manage downside risk. Historical testing of this strategy on AVNT’s recent price behavior would aim to determine whether the indicators could have effectively identified the timing of the decline. If the backtest confirms the predictive power of these indicators, it could inform future trading approaches.