ID +152.67% in 24 Hours Amid Volatility Surge

On SEP 2 2025, ID surged by 152.67% within 24 hours to reach $0.15, marking one of the most dramatic short-term price increases in its recent history. However, over a seven-day horizon, the token plummeted by 1696.15%, eroding all gains and continuing a broader downtrend. The 24-hour rise is being analyzed against the backdrop of broader market volatility, though no direct catalysts for the sharp move have been confirmed.

ID’s price trajectory has been marked by extreme volatility in recent periods, with a 208.59% decline recorded over the past month. Analysts have noted that such sharp, short-term price swings often reflect speculative trading behavior, particularly in markets with low liquidity or high sentiment sensitivity. The absence of clear fundamental changes or major on-chain events suggests that the recent 24-hour rally may have been driven by algorithmic trading strategies or market manipulation rather than intrinsic value shifts.

Technical indicators suggest that ID remains in a bearish phase, with all major timeframes showing extended downward pressure. The 200-day moving average has continued to trend downward, and the Relative Strength Index (RSI) has not shown signs of recovery. These metrics are typically used by algorithmic traders and quantitative models to inform automated trading strategies, particularly in response to extreme price swings like those seen in the past week.

Backtest Hypothesis

A proposed backtesting strategy involves identifying and acting on short-term price spikes in assets like ID, which exhibit high volatility but limited fundamental catalysts. The strategy would trigger long positions during sharp 24-hour gains, assuming the move is followed by a correction. Short positions would then be initiated during the subsequent sell-off, locking in profits from the volatility. This approach relies heavily on the assumption that extreme price swings will revert to a mean within a defined time window. Given ID’s historical behavior, the hypothesis suggests that such a strategy could be viable in capturing volatility-based profits, though it would require strict risk management to mitigate potential drawdowns from continued bearish trends.