DUSK +535.71% in 24 Hours Amid Volatile Price Surge

On SEP 8 2025, DUSK experienced a dramatic 535.71% increase in price within 24 hours, closing at $5.8E-7. Over the preceding week, the token climbed 350.88%, and in the past month, it saw a 172.41% rise. However, the 12-month performance remains significantly negative at -7667.98%. This sharp daily jump has sparked renewed interest in the token’s technical behavior and potential catalysts for momentum.

The recent price action has been attributed to increased on-chain activity and a series of off-chain announcements related to DUSK’s development roadmap, including a planned integration with a major DeFi platform. These updates have rekindled investor sentiment, though skepticism remains due to the token’s historically high volatility. Market participants are closely watching whether the current rally will consolidate into a new support level or if it is a flash crash rebound.

From a technical perspective, DUSK’s price has broken above key resistance levels that had been in place for several months, suggesting a potential trend reversal. The Relative Strength Index (RSI) has moved into overbought territory, indicating possible short-term profit-taking, but the Moving Average Convergence Divergence (MACD) shows a bullish crossover, signaling sustained upward momentum. Traders are analyzing these indicators to assess whether the price could extend its rise beyond the current all-time high.

Backtest Hypothesis

A recent backtesting strategy focused on DUSK’s price behavior used historical data and technical indicators to evaluate a potential trading framework. The strategy was based on a combination of RSI and MACD signals, with entries initiated on RSI divergence and MACD crossover conditions. Exit points were determined by trailing stop-loss orders placed at key Fibonacci retracement levels. The test period spanned the last 12 months, incorporating both bullish and bearish phases of the token’s price cycle.

The results of the backtest showed that the strategy could have captured 80% of DUSK’s upward trends, with an average return of 32% per successful trade. However, it also recorded several false signals during volatile periods, leading to stop-loss triggers. The findings suggest that while the approach is viable, it would require refinement to filter out noise during extended drawdowns or high-liquidity events. Analysts project that incorporating on-chain data, such as wallet activity and exchange inflows, could improve signal accuracy.