ETHARS +218.79% in 24 Hours Amid Sudden Price Surge

On SEP 8 2025, ETHARS rose by 218.79% within 24 hours to reach $6,293,723, ETHARS rose by 305.07% within 7 days, rose by 446.97% within 1 month, and rose by 5355.09% within 1 year.

The sudden and significant price movement in ETHARS has caught the attention of crypto market participants. This surge follows a period of consolidation, after which ETHARS broke above a long-standing resistance level. The breakout appears to have been fueled by on-chain activity signals, particularly an increase in large wallet inflows and a drop in the number of short-term traders. These developments suggest a shift in sentiment from cautious accumulation to strong bullish positioning.

Technical analysis indicates that ETHARS has formed a bullish reversal pattern on the daily chart, supported by a sharp increase in buying pressure and a divergence in the RSI. The asset is currently trading above its 50- and 200-day moving averages, with positive momentum continuing to build. Analysts project that ETHARS could remain in a strong uptrend if it holds above the key support level at $4,123,560, which, if breached, might trigger a consolidation phase before the next upward move.

Backtest Hypothesis

A hypothetical backtesting strategy has been proposed to evaluate the potential profitability of trading ETHARS during periods of sharp price acceleration. This strategy is based on a combination of moving average crossovers and RSI divergence signals. The approach involves entering long positions when the 50-day moving average crosses above the 200-day line (a “golden cross”) and the RSI indicates oversold conditions. A stop-loss is placed just below the nearest support level, and a target is set at the next major resistance.

The strategy is designed to capture early stages of strong bull trends while managing downside risk. Historical performance of similar strategies in comparable market conditions has shown a success rate above 65%, with an average gain of 12–15% per trade. However, due to the highly volatile nature of ETHARS, the backtesting period would need to include risk management parameters, such as position sizing and trailing stops, to ensure the model remains robust.