0G - -450.75% 24-Hour Drop Amid Sharp Corrections and Volatile Recovery

On OCT 3 2025, 0G dropped by 450.75% within 24 hours to reach $3.218, marking one of the most severe short-term corrections in recent cycles. The asset had previously seen a dramatic 2594.49% rise over one month but has since faced a significant downturn, with a 1414.39% decline over the past week and a staggering 3391.86% drop over one year.

Recent movements in 0G suggest a breakdown from a key technical support level, triggering a rapid sell-off. Traders have noted that the recent 450.75% 24-hour decline aligns with a broader bearish trend, with multiple bearish divergence signals appearing on major timeframes. This has led to a re-evaluation of the asset’s short-term outlook, as the price continues to test lower levels of its historical range.

The 0G chart currently exhibits a sharp sell-off pattern, with the price breaking below both the 200-day and 50-day exponential moving averages. This move has erased the recent gains seen from the 2594.49% one-month rally and has pushed the asset into an overbought bearish territory. Technical analysts have highlighted the presence of multiple bearish candlestick formations, signaling potential further weakness in the near term.

Momentum indicators, including the Relative Strength Index (RSI) and MACD, are showing deep bearish divergence. The RSI has dropped well below the 30 threshold, while the MACD line has crossed below the signal line, reinforcing the downward trend. These readings suggest that short-term bearish pressure is not abating and may continue to drive the price lower in the absence of a strong bullish catalyst.

The recent 1414.39% weekly drop has intensified concerns among market participants, particularly those who had positioned themselves for a continuation of the prior month’s rally. Analysts project that without a significant reversal in the near future, the asset may face additional downward pressure as the bearish sentiment remains dominant.

Backtest Hypothesis
A backtesting strategy designed to evaluate the effectiveness of a technical approach during previous volatile periods in 0G’s price history has been developed. This strategy focuses on triggering sell signals when key support levels are breached and RSI drops below 30. The model aims to replicate the outcomes of such a strategy across historical data to assess its potential utility in managing risk during sharp corrections. The findings of this backtest could provide valuable insights into the asset’s behavior during extreme volatility and inform more robust trading approaches in the future.