AEUR -14.44% in 24 Hours Amid Sharp Correction

On SEP 8 2025, AEUR dropped by 14.44% within 24 hours to reach $1.1062, AEUR dropped by 93.13% within 7 days, dropped by 22.55% within 1 month, and rose by 851.4% within 1 year.

The sharp correction in AEUR has sparked renewed scrutiny among traders and analysts, who are closely monitoring the token's response to key support levels. The 24-hour decline marked a continuation of the broader sell-off that has persisted over the past week, during which the asset lost 93.13% of its value. This performance underscores a dramatic reversal in sentiment, with recent on-chain activity indicating increased short-term bearish positioning and heightened capital outflows from AEUR holdings.

Technical indicators have shown a growing divergence between price and momentum. The Relative Strength Index (RSI) has moved into oversold territory, suggesting the possibility of a short-term rebound if buyers step in to absorb selling pressure. Meanwhile, the 50-day and 200-day moving averages remain wide apart, reflecting a long-term bear trend despite the recent one-year gains of over 850%. Analysts project that a sustained rally above the $1.20 level would be necessary to reestablish bullish conviction.

Backtest Hypothesis

A proposed backtesting strategy involves a mean-reversion approach that leverages the RSI and moving averages as entry and exit signals. The strategy assumes that periods of oversold conditions (RSI below 30) will eventually reverse, offering short-term buying opportunities. This aligns with the current technical setup, where AEUR appears at a potential inflection point.

The backtest would involve entering a long position when the RSI dips below 30 and the price crosses above the 50-day moving average. Exit criteria include either reaching a 10% profit target or the RSI crossing back above 50, signaling a return to equilibrium. Stop-loss levels would be set below the most recent swing low to protect against further downside. This approach aims to capture short-term volatility while adhering to risk management principles.