NOM -129.56% in 24 Hours Amid Sharp Correction

Generated by AI AgentAinvest Crypto Movers Radar
Tuesday, Oct 14, 2025 3:55 pm ET1min read
Aime RobotAime Summary

- NOM plummeted 129.56% in 24 hours, 3181.45% in 7 days, and 4951.81% in 1 month/year.

- Analysts attribute the crash to broader market correction rather than project-specific issues.

- Technical indicators show broken support levels, bearish crossovers, and oversold RSI conditions.

- Backtesting historical 10%+ drops aims to predict recovery potential or continued decline.

On OCT 14 2025, NOM dropped by 129.56% within 24 hours to reach $0.845, NOM dropped by 3181.45% within 7 days, dropped by 4951.81% within 1 month, and dropped by 4951.81% within 1 year.

NOM experienced a dramatic selloff in recent trading sessions, with its price collapsing across multiple timeframes. The digital asset fell sharply in a 24-hour period, reflecting heightened volatility in the market. Over a week, its decline accelerated, with a 3181.45% drop from the prior week's levels. This sharp movement has raised concerns among investors, though no single catalyst has been identified as the primary driver of the sell-off. Analysts project that the ongoing slump may be part of a broader market-wide correction rather than a project-specific issue.

The price behavior of NOM has been closely analyzed by technical observers, who have noted a breakdown in key support levels and a loss of bullish momentum. On OCT 14 2025, the asset closed well below its 20-day moving average, indicating a bearish crossover. The RSI has also moved into oversold territory, suggesting the market may be reaching a short-term low. However, the prolonged duration of the decline has made it difficult to distinguish between a short-term pullback and a more structural bear trend.

Backtest Hypothesis

To understand the potential for recovery or further depreciation, a backtesting framework can be applied to similar price events. A backtest can help assess whether the current price dynamics of NOM align with historical patterns following sharp declines. The hypothesis for this backtest would involve identifying historical instances where NOM dropped by at least 10% in a single trading day, as a proxy for the recent sharp move. Using these event dates, we can analyze the subsequent performance of the asset over a defined horizon, typically 30 to 60 days, to determine the likelihood of a rebound or continued downward trajectory.

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