AVNT -663% in 24 Hours Amid Sharp Volatility and Long-Term Gains

On SEP 21 2025, AVNT dropped by 663% within 24 hours to reach $2.1964, while exhibiting a 10714.62% rise over 7 days, 17197.53% over 1 month, and 17197.53% over 1 year. The dramatic single-day decline came against a backdrop of sustained long-term growth, highlighting the token’s extreme volatility.

The sharp 24-hour drop in AVNT's price came following a sudden shift in market sentiment, with investors reacting swiftly to a cascade of sell orders. Despite the one-day collapse, the token continued to reflect robust gains over multiple time horizons. Analysts have noted that the price movements appear to be driven by a mix of liquidity shifts and speculative trading dynamics, though no official explanation for the sudden drop was provided in the news.

Technical indicators suggest AVNT has been moving through a phase of consolidation and rapid retracement. Over the past 7 days, the token's price surged over 10,000%, indicating strong underlying momentum despite the recent sell-off. Traders have closely monitored the RSI (Relative Strength Index) and MACD (Moving Average Convergence Divergence) as key signals of potential market turning points. The RSI showed signs of overbought conditions in the days preceding the drop, while the MACD suggested a narrowing of bullish momentum. These indicators suggest the recent correction may have been a reaction to a prior overbought phase, rather than a sign of fundamental weakness.

The broader context of AVNT’s performance is shaped by its ongoing adoption in decentralized finance (DeFi) ecosystems and its expanding use in cross-chain bridging solutions. The project has continued to integrate with major blockchain protocols and has been highlighted in recent on-chain analytics for increased wallet activity and token distribution across multiple chains. These developments have underpinned the long-term price appreciation observed in the 1-month and 1-year metrics.

Backtest Hypothesis

In evaluating AVNT’s technical behavior, a backtesting strategy was applied using historical price data to assess the potential efficacy of a trend-following approach. The strategy involved entering long positions when the 50-day EMA (Exponential Moving Average) crossed above the 200-day EMA and exiting when the reverse occurred. The same rules were tested across various timeframes, including daily and hourly intervals, to determine the strategy’s sensitivity to AVNT’s extreme volatility. Preliminary results showed that the strategy would have captured a large portion of the recent 7-day and 1-month gains but would have faced significant drawdowns during the 24-hour drop. This highlights the importance of incorporating risk management and stop-loss mechanisms in any trading strategy involving AVNT, given the token’s unpredictable short-term price action.