NOM -3437.74% in 7 Days Amidst Sharp Market Deterioration

On OCT 13 2025, NOM dropped by 129.56% within 24 hours to reach $0.836, NOM dropped by 3437.74% within 7 days, dropped by 4951.81% within 1 month, and dropped by 4951.81% within 1 year.

The token’s rapid depreciation has sparked scrutiny from analysts and traders alike, as it reflects a broader downturn in the market. The 7-day performance, in particular, has drawn attention for its severity, with NOM shedding over 99% of its value in a short span. Such a drop underscores a loss of investor confidence and hints at potential structural issues within the asset’s underlying framework. Analysts project that further declines could be imminent, though such projections do not reflect confirmed market behavior.

From a technical standpoint, the chart of NOM has formed a steep bearish trendline, with no immediate signs of reversal. Several key support levels have been breached within the past week, reinforcing the bearish bias. The absence of stabilizing factors in the asset’s price behavior has led to increased discussions about its future viability in the market.

Analysts project that the current trajectory may persist unless external factors intervene—such as regulatory changes or a shift in broader market sentiment. However, no concrete developments have yet emerged to indicate such a shift. The sharp decline has also led to heightened volatility in associated markets, though this volatility is not to be directly attributed to NOM’s performance alone.

Backtest Hypothesis

To better understand the behavior of tokens like NOM under extreme bearish conditions, a backtesting strategy has been proposed. This strategy would evaluate the performance of a stock in the aftermath of a 10% single-day decline. Specifically, the strategy would define a 10% down day as a closing price at least 10% lower than the previous day’s close. Once the event is defined, the backtest would calculate the average performance in the days following such declines, using daily closing prices. The time frame for the analysis would span from January 1, 2022, to October 13, 2025, providing a comprehensive view of post-event behavior. The objective is to determine whether historical data supports the expectation of continued downward momentum or if price corrections or rebounds are statistically significant. This approach aims to offer actionable insights into market behavior under extreme volatility, potentially aiding in risk management for similar assets.