AVNT +13771.6% in 1 Year Amid Sharp Volatility and Market Momentum

On SEP 23 2025, AVNT dropped by 664.7% within 24 hours to reach $1.9358, AVNT rose by 7501.36% within 7 days, rose by 13771.6% within 1 month, and rose by 13771.6% within 1 year.

The recent 24-hour decline contrasts with broader bullish trends observed in the past week and month. Over the last seven days, AVNT surged 7501.36%, signaling a strong reversal in market sentiment. The one-month performance mirrored this with a 13771.6% rise, indicating that the token is experiencing a period of intense accumulation and distribution activity.

AVNT’s one-year return of 13771.6% suggests a dramatic shift in investor behavior and token adoption. While the recent 24-hour drop represents significant short-term volatility, the underlying trend remains robust. Analysts project that the asset could continue to attract speculative and long-term capital due to its strong momentum and growing on-chain activity.

The technical indicators suggest a market in transition. Following the 24-hour downturn, the asset rebounded strongly, suggesting a potential bottoming process. The one-week and one-month gains indicate that AVNT is maintaining broad support levels, with increasing buying pressure as the price retests previous key thresholds. This pattern is consistent with a long-term accumulation phase often seen in high-growth assets.

Backtest Hypothesis

A potential strategy for capturing AVNT’s recent volatility involves a momentum-based approach that enters on the first sign of a reversal following a sharp drop, with stops placed just below key support levels. The hypothesis is that AVNT will continue to exhibit strong upward momentum in the following 7 to 30 days after a significant short-term sell-off. This is based on its historical pattern of rapid rebounds following declines, supported by the 7501.36% gain in the seven days following the latest drop. The strategy would aim to lock in gains during the strong rebound phase, aligning with the token’s broader upward trajectory.