GRT +160.55% in 24 Hours Amid Short-Term Volatility

On SEP 2 2025, GRT surged by 160.55% within 24 hours to reach $0.0862, marking a sharp reversal in its short-term trajectory. This follows a steep decline of 513.92% over the past 7 days and a recovery of 22.62% over the last month, contrasting with a prolonged bearish trend that saw a 5563.35% drop over the year. The abrupt rise in value has drawn attention to potential catalysts influencing the token's immediate performance.

The 24-hour rally suggests the presence of strong buying pressure, potentially triggered by a combination of short-term market sentiment shifts, news-driven events, or algorithmic trading mechanisms. Analysts project that such a dramatic swing may not necessarily indicate a sustained reversal, as historical patterns show that large single-day gains are often followed by consolidation or pullbacks. However, the rapid movement does highlight the token’s exposure to speculative flows and rapid liquidity shifts.

Technical indicators have shown mixed signals in recent cycles. The 200-day moving average continues to trend downward, reinforcing the long-term bearish narrative. However, shorter-term moving averages, including the 50 and 20-day, have begun to show signs of divergence, with the 20-day line crossing above the 50-day line—an indication of potential short-term bullish momentum. Meanwhile, the Relative Strength Index (RSI) has returned to neutral territory, suggesting a temporary balance between buying and selling pressures after a period of extreme bearish exhaustion.

Backtest Hypothesis

A proposed backtesting strategy involves entering long positions on GRT when the 20-day moving average crosses above the 50-day line, accompanied by a closing price above the 20-day line, while avoiding entries if the RSI is above 70. Exits are triggered when the 20-day line crosses below the 50-day line or if the RSI falls below 30, indicating oversold conditions. This strategy aims to capitalize on the recent divergence in moving averages while avoiding overbought territory, potentially aligning with the token’s short-term volatility. The hypothesis is that this approach could effectively capture the recent upswing while managing exposure to expected near-term volatility.