AVNT -100.00% 24H - Sharp Volatility Amid Unprecedented Market Conditions

On OCT 3 2025, AVNT dropped by 98.16% within 24 hours to reach $1.253, AVNT dropped by 1638.36% within 7 days, dropped by 422.26% within 1 month, and rose by 5317.28% within 1 year.

The dramatic drop in AVNT’s price reflects an unusual and rapid shift in investor sentiment, marking one of the most volatile 24-hour declines in the asset’s history. The movement has left investors and analysts scrambling to interpret the cause behind the sharp sell-off. While no official explanation has been provided by the company or market participants, the move suggests a strong reaction to either an external catalyst or internal reassessment of the asset’s fundamentals.

Technical indicators paint a complex picture of AVNT’s short-term trajectory. The asset’s price has broken below key support levels that had previously been considered stable. Momentum indicators have turned sharply negative, with the Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD) both showing bearish divergence. These signals suggest a continuation of the downward trend in the near term, with traders closely watching for signs of a potential reversal or additional selling pressure.

Backtest Hypothesis

To evaluate potential trading strategies amid such volatility, a backtesting approach was outlined focusing on the technical indicators that correlate with AVNT’s sharp price moves. The strategy incorporates a combination of RSI and EMA (Exponential Moving Average) crossovers to identify potential entry and exit points. The hypothesis tests the viability of using RSI levels as a signal to exit long positions or initiate short positions when the indicator reaches extreme levels. EMA crossovers, particularly 9-day and 21-day, are used as confirmatory signals to validate the direction of the move. This backtest is designed to be applied in a highly volatile market environment such as the current AVNT condition, and its results could inform adaptive trading strategies for similar market scenarios.