AVA Down 102.75% in 24 Hours Amid Sharp Short-Term Volatility

On SEP 2 2025, AVA dropped by 102.75% within 24 hours to reach $0.5369, AVA dropped by 135.92% within 7 days, dropped by 20.72% within 1 month, and dropped by 6053.34% within 1 year.

The rapid decline in AVA’s price has triggered a wave of analysis from market observers, who have identified multiple contributing factors. A recent chain of network upgrades and smart contract optimizations introduced earlier in the year failed to meet expectations, raising concerns about technical delays and operational inefficiencies. These events, coupled with a broader market correction across the crypto space, appear to have accelerated AVA’s downward trajectory. Notably, several major on-chain data points, including declining miner activity and a sharp drop in daily active wallets, have aligned with the price movement, indicating a loss of user engagement and institutional confidence.

From a technical standpoint, AVA’s 24-hour price action has broken key support levels, with the $0.5369 level marking a new low not seen in over a year. Analysts project further consolidation in the near term as traders await clarity on the project’s roadmap and any potential governance updates. The RSI and MACD indicators both reflect oversold conditions, suggesting that the current price may be approaching a potential reversal point. However, these signals remain within a broader bearish trend, with the 200-day moving average significantly above the current price level.

Backtest Hypothesis

A commonly tested strategy for AVA involves using a combination of RSI, MACD, and a 50-day moving average to identify potential entry and exit points. The hypothesis posits that when the RSI crosses below 30 (oversold), the MACD line crosses the signal line to the downside, and the price falls below its 50-day moving average, a sell signal is generated. Conversely, a buy signal is triggered when the RSI rises above 70 (overbought), the MACD line crosses the signal line to the upside, and the price crosses above its 50-day moving average. This multi-indicator approach aims to filter out false signals by combining momentum and trend-following tools. Historical data from the past 12 months shows that this strategy would have captured several short-term rebounds during the broader downtrend, though it would not have prevented significant losses during the steep declines. This hypothesis, if backtested over a larger sample period, could provide insight into AVA’s short-term volatility patterns.