On September 12, 2025, A2Z surged by 160.08% in a single day to hit $0.006344. Over the past week, it climbed 562.49%, saw a 1209.82% increase over 30 days, and soared 2691.46% in the last year.
Technical analysis reveals that A2Z has gained significant short-term strength. The asset has held above both its 50-day and 200-day moving averages, while the MACD has turned upward and the RSI has moved into overbought levels for the first time in several weeks. These factors together indicate the uptrend may continue, as the price movement remains strong and trading volume is consistent with previous upward breakouts. Experts believe the rally could go on as long as the main resistance levels are not quickly surpassed.
The 2691.46% return over the past year highlights a significant turnaround for A2Z. While this remarkable rally is likely driven by both market sentiment and underlying trading mechanics, the sharp 24-hour jump seems to be fueled by robust technical signals. Traders are watching closely for signs of a slowdown, yet the uptrend remains intact and there are no clear bearish divergences in the oscillators at this time.
Backtest Hypothesis
A strategy was backtested to gauge how well recent technical patterns could predict price movements. This approach enters a long position when the 20-day moving average crosses above the 50-day, sets a stop-loss at the lowest price of the past 10 days, and aims to take profit at the 38.2% Fibonacci retracement. The exit plan uses a trailing stop that secures profits if the RSI stays above 50 for three straight sessions. The goal is to benefit from the early stage of a bullish run while limiting losses during any downturns.
This strategy was tested using historical A2Z prices to evaluate its effectiveness. With the 20-day and 50-day moving averages recently aligning, the results offer a look at whether this setup has previously led to favorable risk-adjusted returns. Although historical results are not a guarantee of future performance, the backtest provides a systematic method to estimate the likelihood of success when momentum and trend-following signals coincide.