AXL +174.8% in 24 Hours Amid Short-Term Price Surge

On AUG 30 2025, AXL rose by 174.8% within 24 hours to reach $0.3046, AXL rose by 641.6% within 7 days, dropped by 950.43% within 1 month, and dropped by 5238.46% within 1 year.

AXL recently surged in a sharp 24-hour window, climbing more than 170% to a current price of $0.3046. This dramatic rise followed a seven-day rally of 641.6%, marking one of the most significant short-term gains in the token’s recent history. The sharp rebound stands in contrast to broader long-term trends, as the token has fallen by over 950% in the past month and more than 5,200% over the past year. The recent upturn has attracted renewed attention, with investors and observers analyzing the factors behind the sudden move.

The sudden price jump appears to be driven by renewed on-chain activity and community engagement. AXL has seen a marked increase in unique wallet interactions and transaction volume in the past two days, suggesting a potential shift in on-chain behavior. While no official announcements were made during the period, on-chain data indicates a pattern of accumulation from multiple addresses, which could reflect coordinated buying pressure or speculative positioning.

Technical indicators show AXL breaking above key resistance levels in the immediate term. The RSI has moved into overbought territory, while the MACD has crossed into positive territory with a rising histogram. However, these readings highlight a divergent picture when viewed in the context of longer-term trends, where the token remains in a deep bearish phase.

Backtest Hypothesis

Historical performance suggests that AXL’s price is highly sensitive to on-chain activity and wallet behavior. A backtesting strategy based on accumulation patterns and wallet interaction could potentially capture short-term volatility in a structured manner. The hypothesis involves entering a long position when the number of unique wallets interacting with AXL rises above a set threshold and exits when the RSI crosses above 70. This approach would focus on capturing rebounds from oversold conditions without attempting to time the broader bearish trend.