MORPHO +4129.32% in 24 Hours Amid Strong Short-Term Momentum

On OCT 11 2025, MORPHO rose by 4129.32% within 24 hours to reach $1.846, MORPHO rose by 5.22% within 7 days, rose by 5.22% within 1 month, and rose by 5.22% within 1 year.

Following a period of consolidation, MORPHO has demonstrated a sudden and significant price increase, with the token surging by over 4,000% in a 24-hour span. This movement has drawn attention from traders and analysts, particularly due to the rapid nature of the ascent and the token’s continued performance over the last month and year. The price trajectory has not only exceeded expectations but also reinvigorated interest in the asset’s potential for further appreciation.

The rise in MORPHO has been characterized by strong short-term momentum. The 5.22% gain over the past 7 days is consistent with the 1-month and 1-year performance, suggesting a broader upward trend that is supported by both immediate and sustained price action. Analysts project that the combination of recent gains and ongoing market confidence could lead to continued buying pressure, although any further movement will depend on broader market dynamics and underlying project fundamentals.

The technical indicators used in evaluating MORPHO’s price movement suggest a continuation of the bullish pattern. The token has been operating above key support levels, with positive volume confirmation observed during the last 24-hour period. A series of higher highs and higher lows has reinforced the validity of the upward trend, indicating that buyers are maintaining control of the market.

Backtest Hypothesis

A proposed backtesting strategy for MORPHO is based on the use of moving averages and momentum oscillators to identify potential entry and exit points. The approach involves entering long positions when the short-term moving average crosses above the long-term moving average, while closing positions when the opposite occurs. Additionally, a momentum oscillator, such as the Relative Strength Index (RSI), is used to filter overbought conditions and signal potential corrections. The backtest would be conducted over a historical period to assess the strategy’s profitability and robustness across different market cycles.