0G +1673.23% in 7 Days Amid Volatile Short-Term Rebound

On OCT 4 2025, 0G dropped by 119.96% within 24 hours to reach $2.959, while simultaneously recording a 1673.23% surge over the past 7 days. The asset also gained 1673.23% over the last 30 days, but remains down 3875.23% compared to its level a year ago. The steep 24-hour drop contrasts with a broader short-term rebound, suggesting high volatility and sharp market sentiment shifts.

The sharp 7-day and 30-day gains point to a strong short-term reversal, potentially driven by algorithmic trading patterns, speculative inflows, or a rebalancing of leveraged positions. However, the asset’s long-term trajectory remains bearish, with an annual decline of over 3800% signaling structural issues or a lack of sustainable demand. Market participants are closely watching whether the recent upturn represents a temporary bounce or a more sustained recovery.

The price action has drawn attention due to its extreme range, with the asset moving from a 24-hour drop to multi-week gains in a short window. This pattern is often seen in speculative assets that are highly sensitive to on-chain activity, social media sentiment, or liquidity shifts. The sharp correction followed by a rapid rebound has also sparked analysis of key technical indicators such as the RSI and MACD, which are used to assess momentum and trend strength.

The recent performance suggests a complex interplay between short-term traders and longer-term holders. Analysts project that the market may continue to oscillate if liquidity conditions remain unstable. However, the absence of consistent fundamental improvement raises questions about the sustainability of the current price trajectory.

Backtest Hypothesis

A proposed backtesting strategy aims to model the potential effectiveness of a systematic approach to trading 0G based on its recent behavior. The strategy leverages technical indicators such as moving averages and the Relative Strength Index (RSI) to capture the asset’s volatility and attempt to isolate high-probability entry and exit points. The hypothesis is that by applying a rules-based system—triggered by overbought/oversold RSI levels and confirmed by moving average crossovers—it may be possible to extract alpha from the erratic price action. This approach would be backtested using historical data spanning the 30-day and 7-day periods, with the goal of identifying a replicable pattern that aligns with the asset's volatility profile.