AVNT +1695.06% in 1 Month Amid Major Technical Breakout

On SEP 17 2025, AVNT dropped by 699.07% within 24 hours to reach $0.944, AVNT rose by 1695.06% within 7 days, rose by 1695.06% within 1 month, and rose by 1695.06% within 1 year.

The rapid rise in AVNT has sparked attention in algorithmic and on-chain activity. Strong buying pressure emerged from high-frequency trading mechanisms and long-term position accumulation. These movements suggest a redefinition of the token’s role in its sector, with growing liquidity and a more defined price floor. The on-chain data points to a convergence of short-term momentum and longer-term positioning, indicating structural support is forming around the current price.

From a technical standpoint, AVNT has moved decisively above key resistance levels, with the 200-day exponential moving average acting as a strong support line. The Relative Strength Index (RSI) has shown a sustained move into overbought territory, a sign of strong upward momentum. The price is also showing a bullish divergence in the MACD indicator, reinforcing the possibility of a continuation pattern. These signals collectively suggest AVNT is consolidating into a new bullish phase.

Backtest Hypothesis

The backtesting strategy under evaluation focuses on a time-based and momentum-driven approach to capturing AVNT’s recent volatility. The hypothesis is built around identifying and entering positions at the early stage of a breakout, defined by a cross above the 200-day EMA and a divergence in the MACD. Exit points are established using dynamic trailing stops and fixed take-profit levels aligned with Fibonacci retracement targets. The strategy emphasizes risk management by limiting exposure during high volatility periods, ensuring only a portion of the capital is allocated per trade.

This method aligns with the observed technical indicators, particularly the convergence of bullish momentum and strong on-chain activity. The backtest assumes a disciplined, rule-based execution, with no discretionary intervention. The hypothesis aims to validate the effectiveness of entering on early signals and exiting before potential corrections. Given the recent sharp price movements, this strategy is designed to capture AVNT’s volatility while managing drawdowns.