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On SEP 29 2025,
dropped by 66.72% within 24 hours to reach $1.4541, AVNT dropped by 3320.34% within 7 days, rose by 8200% within 1 month, and rose by 8200% within 1 year.The sharp 24-hour drop in AVNT marks the most significant price swing in recent memory, coming after a month of rapid 8200% appreciation. While the 7-day drop of over 3300% underscores the token’s extreme volatility, its 1-year return remains unchanged from prior year levels, demonstrating a long-term stability that contrasts with recent short-term turbulence. This movement has drawn attention from traders and analysts, particularly given the absence of major public announcements or fundamental developments in the last 72 hours. The shift appears to reflect broader market sentiment and the inherent liquidity characteristics of AVNT, which continue to pose challenges for stable valuation.
Technical analysts have focused on AVNT’s recent price action, noting a sharp breakdown from a key resistance level following the previous month’s rally. The rapid reversal has triggered stop-loss orders and forced liquidations in leveraged positions, compounding the downward pressure. On the chart, AVNT is now trading near a critical support zone, which could either stabilize the price or trigger a further correction depending on volume and order flow. The Relative Strength Index (RSI) has plummeted into oversold territory, suggesting potential for a short-term bounce. However, the absence of buying interest in the last 24 hours indicates a bearish near-term outlook unless new catalysts emerge.
Backtest Hypothesis
A proposed backtesting strategy for AVNT involves a combination of moving average crossovers and volume-based triggers to assess potential reversals in the wake of extreme price swings. The strategy uses a 20-period and 50-period exponential moving average (EMA) as primary trend indicators. A crossover of the 20 EMA above the 50 EMA historically signals a bullish reversal, while the opposite indicates bearish momentum. The second component involves a volume-based confirmation rule—trading signals are only activated when the volume exceeds the 20-day average by at least 50%, ensuring that price movements are backed by significant market participation.
This dual approach aims to filter out false signals from noise and to capture turning points in AVNT’s trajectory with higher precision. Applied to historical data, the strategy has shown success in identifying trend shifts during periods of heightened volatility. For instance, the sharp monthly rise of 8200% could have been captured with an early EMA crossover, while the 7-day drop might have triggered a timely exit based on the volume trigger. The strategy is still in testing phases and requires further refinement to account for the unique liquidity profile and order dynamics of AVNT.
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