MANA +281.64% in 24 Hours Amid Market Volatility

On SEP 2 2025, MANA surged by 281.64% within 24 hours to reach $0.2737. Over the preceding week, the token fell by 13.51%, while over the last month it climbed by 274.5%. In the context of a year-long timeframe, it has experienced a dramatic decline of 3668.09%. The recent sharp rise appears to have been fueled by a combination of speculative buying and renewed interest in specific use cases tied to the token.

The token has seen significant price swings over the last year, with a notable contrast between short-term and long-term performance. While the 24-hour rally suggests strong bullish momentum in the immediate term, the weekly decline highlights the ongoing challenges in stabilizing market sentiment. Analysts project that the token could remain range-bound in the near term unless a clear catalyst emerges to either validate or refute its underlying fundamentals.

The 24-hour surge brought MANA to a new recent high within its current price cycle, with indicators suggesting a potential continuation of the upward trend if key resistance levels hold. However, the weekly and monthly data suggest that the rally may not necessarily be a breakout of a broader downtrend, but rather a sharp counter-movement within an established pattern of volatility.

Backtest Hypothesis

A proposed trading strategy aimed at capturing short-term volatility in MANA hinges on technical indicators that reflect the asset’s recent behavior. The strategy utilizes a dual-moving average system, with a fast and slow average to detect directional changes in price momentum. Entry signals are generated when the fast average crosses above the slow average, indicating a potential bullish phase. Exit triggers occur when the fast average crosses below the slow average, signaling a potential bearish reversal.

This approach has historically aligned with MANA’s price patterns, particularly in periods of rapid price movement. Given the token’s recent 24-hour surge, the backtest hypothesis explores whether such a strategy could have profitably captured the upswing while avoiding the preceding week’s decline. The model is designed to test how effectively the signal could filter noise and identify meaningful price shifts without overtrading in a highly volatile environment.