Algorand (ALGO) Sees 0.39% Increase on November 2 Despite Fluctuating 24-Hour Results

As of November 2, 2025,

(ALGO) experienced a 0.39% increase over the past 24 hours, bringing its price to $0.18. In spite of this daily uptick, the token saw a 2.39% decrease over the previous week, a 1.47% gain in the last month, and a notable 46.19% drop compared to the same period last year. The price highlight the ongoing instability and mixed trends within the wider cryptocurrency sector, where macroeconomic uncertainty and investor sentiment continue to play significant roles.

Looking forward, investors are paying close attention to several key economic releases in the United States. On November 5, updates will be provided for the ADP Nonfarm Employment Change, ISM Non-Manufacturing PMI, S&P Global Services PMI, and Crude Oil Inventories. These data points are expected to influence market expectations regarding central bank actions and inflation, which could, in turn, affect cryptocurrency valuations. With Federal Reserve Chair Jerome Powell expressing caution about potential rate reductions, traders may react strongly to any figures that indicate changes in inflation trends.

Technical analysis for ALGO’s outlook includes monitoring the 50-day and 200-day moving averages, as well as the Relative Strength Index (RSI). At $0.18, ALGO is currently trading above its 50-day moving average but remains below the 200-day average, pointing to a blend of short-term strength and longer-term weakness. The RSI, which is near the midpoint of 50, suggests that neither bullish nor bearish momentum is dominant, with no clear signs of the asset being overbought or oversold. Traders may use these indicators to assess short-term price swings and possible breakout scenarios.

Backtest Hypothesis

To analyze how ALGO has performed during sharp price drops, one could develop a backtesting approach that examines the token’s behavior after experiencing a 10% single-day decline. This would involve pinpointing occasions between 2022 and 2025 when

dropped by 10% within a 24-hour span, then tracking how the price moved in the following periods (such as 1 day, 5 days, and 30 days). The method would monitor key statistics like average returns, volatility, and drawdowns to determine the probability of a rebound or continued losses.

By focusing on these significant price movements and evaluating the asset’s subsequent performance, the backtest seeks to clarify ALGO’s ability to withstand or succumb to market shocks. This analysis could help inform more advanced trading or risk management strategies, especially for those aiming to navigate periods of increased market turbulence. Considering ALGO’s varied results over different timeframes, insights from this backtest may prove useful for anticipating its future reactions under similar market pressures.