VET +106.25% in 24 Hours Amid Sharp Volatility Amid Market Uncertainty

On SEP 2 2025, VET surged by 106.25% within 24 hours to reach $0.02412, marking a significant short-term price movement amid broader market uncertainty. However, the token has faced substantial declines over longer timeframes, with a 714.56% drop over seven days, a 149.13% fall over a month, and a staggering 4487.71% drop over one year. The recent sharp increase contrasts starkly with the token’s broader downward trajectory, drawing attention to the unpredictable nature of its price behavior.

The recent 24-hour surge appears to have been triggered by a combination of sudden market shifts and trader behavior, though no official announcements or fundamental developments were reported to directly explain the rapid price change. Analysts project that the rise is more indicative of speculative momentum than a structural shift in the token’s valuation. The short-lived nature of the increase is underscored by the token’s continued decline over the past week and month, which suggests a lack of sustained buyer interest or confidence.

Technical indicators reflect a highly volatile and bearish market environment. The 20-day and 50-day moving averages remain below the current price, pointing to a lack of immediate support. The Relative Strength Index (RSI) remains in oversold territory, indicating that VET is overextended on the downside, but also highlighting the potential for a short-term bounce in the absence of new negative catalysts.

Backtest Hypothesis

Given the recent price action and technical signals, a backtesting strategy was developed to assess the viability of short-term trading opportunities in VET. The strategy is based on a combination of moving average crossovers and RSI thresholds. Specifically, the system triggers a long position when the 9-day exponential moving average crosses above the 21-day moving average, and the RSI moves above 30. A short position is triggered when the 9-day EMA crosses below the 21-day EMA and RSI falls below 70.

The hypothesis is that during periods of high volatility and potential overreaction, these technical signals can help identify potential turning points in price. The backtesting would be applied to historical data over the past six months, focusing on daily and 4-hour intervals. A stop-loss of 5% and a take-profit of 8% would be applied to each trade to manage risk and reward. The primary objective is to test whether the strategy can capture short-term rebounds in VET’s price during periods of oversold conditions.