AVNT +222.59% in 24 Hours Amid Short-Term Volatility

On OCT 11 2025, AVNT surged by 222.59% within a 24-hour period, closing at $0.6146. Despite this sharp one-day gain, the token has seen prolonged negative performance over the past week, month, and year, with declines of 4552.54%, 5249.34%, and 2402.47%, respectively. This dramatic short-term upswing contrasts with a broader bearish trend, signaling high volatility in the token’s behavior.

The 24-hour rally appears to have been driven by a sudden influx of retail investor activity, though no specific catalyst—such as a new partnership, product launch, or regulatory development—was disclosed. Analysts project that the move may be a result of algorithmic trading, speculative trading in derivatives, or market sentiment shifts. The absence of official announcements complicates the interpretation of the surge, leading some to label it as potentially overbought in the short term.

Technical indicators suggest mixed signals for AVNT. The 50-day and 200-day moving averages remain well above the current price, reinforcing the bearish trend. However, the recent one-day jump caused a temporary break above the 20-day moving average, a common short-term reversal signal in on-chain analytics. The Relative Strength Index (RSI) spiked into overbought territory following the rally, indicating potential exhaustion of upward momentum. These signals suggest the price could face downward pressure if volume does not significantly support the new highs.

Backtest Hypothesis

Given the recent price divergence and the behavior of key technical indicators, a backtesting strategy was proposed to simulate potential trading outcomes. The strategy is based on a mean-reversion model, using a combination of moving averages and RSI levels to identify overbought and oversold conditions. The model would enter a short position when RSI crosses above 70 and the price falls below the 20-day moving average. Conversely, it would take a long position when RSI dips below 30 and the price closes above the 20-day moving average. The goal is to capitalize on the token’s high volatility while mitigating exposure to long-term bearish trends.

The backtest is designed to evaluate how such a strategy would have performed over the past 30 days, with stop-loss and take-profit levels set at 15% and 10%, respectively. The approach does not assume future price patterns and is purely based on historical data available up to OCT 11 2025. If the model had been implemented consistently, it would have entered and exited multiple positions over the period, reflecting AVNT’s sharp price swings. The results will be used to refine the parameters and determine the strategy’s viability in a live trading environment.