QTUM Up 3.89% as Short-Term Volatility Wanes

QTUM recorded a 3.89% increase in a 24-hour period on Nov 12, 2025, closing at $1.913. Over the last week, the token fell 2.93%, while showing a 3.67% increase over the past month. However, the token’s price has declined by 36.11% year-to-date, indicating a subdued long-term trend.

Despite the weekly decline, the 24-hour rebound reflects a recovery in investor sentiment in the near term. The price action suggests that short-term selling pressure may be easing, particularly given the relatively strong daily performance. Analysts project that this short-lived bounce could attract technical traders who are positioning for potential corrections or consolidation phases ahead of broader market movements.

Technical indicators show mixed signals for QTUM. The Relative Strength Index (RSI) has moved into the oversold territory, hinting that further declines may be limited in the near term. Meanwhile, the Moving Average Convergence Divergence (MACD) histogram has begun to narrow, indicating a potential loss of downward momentum. These metrics are typically used in conjunction with price patterns to identify possible reversal points. However, given the broader bearish trend over the year, caution is advised when interpreting short-term bounces as long-term turning points.

A deeper look at QTUM’s chart reveals a key resistance level forming just above its current price of $1.913. This area has been tested multiple times in the past several months and could serve as a critical juncture for the asset. A break above it may encourage more aggressive buying, while a retest could reinforce the short-term range-bound pattern. Traders are closely watching how the price reacts at this level to gauge the strength of the current upswing.

Backtest Hypothesis

Recent efforts to analyze QTUM using a backtesting strategy have encountered technical limitations in acquiring the necessary data. A request to retrieve the daily-return series for the token resulted in an error due to the unavailability of the asset in the data feed. This highlights the need to confirm the correct ticker symbol—whether “QTUM” or another format supported by the data provider. Once the accurate symbol is identified, the next step will involve identifying all trading days since January 1, 2022, where the day-over-day gain exceeded 5%. An event-based backtest will then be conducted to evaluate the average performance following these sharp price increases. The results will be visualized with an interactive chart to assist in interpreting the data for potential trading insights.