MIRA Plummets 7199.74% in a Year Amid Market Turmoil

On OCT 12 2025, MIRA dropped by 245.43% within 24 hours to reach $0.3432, MIRA dropped by 3639.75% within 7 days, dropped by 4389.36% within 1 month, and dropped by 7199.74% within 1 year.

MIRA’s recent performance has raised significant concerns among investors and market analysts. The token's rapid depreciation over a 24-hour window marked one of the most severe single-day declines on record, signaling a sharp deterioration in market confidence. The underlying cause, as inferred from the news, remains tied to broader market dynamics rather than specific project developments. Analysts project that such volatility is likely to persist in the short term, with uncertainty in macroeconomic conditions and shifting investor sentiment continuing to weigh on the asset class.

Technical indicators reflect a clear bearish trend. The 50-day and 200-day moving averages show a wide divergence, with the shorter-term average significantly below the longer-term line, suggesting a deepening downtrend. Additionally, the Relative Strength Index (RSI) has remained in oversold territory for an extended period, yet failed to generate a sustainable rebound. These indicators collectively point to a lack of buying pressure and a prolonged period of bearish dominance.

Backtest Hypothesis

Given the prolonged bearish trend and the indicators’ signals, a backtesting strategy has been proposed to analyze potential performance under historical conditions. The strategy is based on a set of predefined technical triggers aimed at capturing trend continuation or reversal signals. A long bias is initiated when the 50-day moving average crosses above the 200-day line, with a stop-loss placed at a key support level. Conversely, a short bias is triggered when the 50-day line falls below the 200-day line, with a stop-loss set at a defined resistance level. The RSI is used as a supplementary filter to confirm trade entries and exits, with a threshold of 30 and 70 defining oversold and overbought conditions, respectively.

This backtesting approach is intended to simulate how a systematic strategy might have performed against MIRA’s price history, factoring in both trend-following and mean-reversion logic. The results, while hypothetical, can help assess the robustness of the indicators and the practicality of implementing such a strategy in a live trading environment.