MIRA -522.84% in 24 Hours Amid Sharp Decline in Volatility and Trading Indicators

On OCT 11 2025, MIRA dropped by 522.84% within 24 hours to reach $0.3159, MIRA dropped by 4789.36% within 7 days, dropped by 4822.72% within 1 month, and dropped by 7416.02% within 1 year.

Technical indicators show that MIRA has entered a phase of intense downward momentum, marked by a sharp contraction in volatility metrics and a breakdown of key support levels. The asset’s 24-hour decline far exceeded typical market corrections, signaling a potentially structural shift in sentiment. This drop has erased nearly all gains from the past year, with the token now trading well below its 20-day and 50-day moving averages. Analysts project further weakness if critical support levels at $0.28 are breached, though a reversal is unlikely in the near term without a strong market catalyst.

MIRA’s performance has been decoupled from broader market trends, highlighting the vulnerability of smaller-cap tokens to liquidity shocks and investor sentiment shifts. The decline is attributed to a combination of reduced on-chain activity and declining trading volumes across primary exchanges. While no single event was cited as the cause, the timing coincides with heightened macroeconomic uncertainty in the crypto sector. Analysts project that the price could continue to trend lower until a clear bottoming pattern emerges or a major regulatory update shifts market sentiment.

Backtest Hypothesis

Given the recent technical breakdown of MIRA, a backtesting strategy has been designed to evaluate the potential efficacy of a trend-following approach in capturing short-term directional moves. The strategy is based on a dual moving average crossover system, using the 10-day and 50-day exponential moving averages (EMA) to identify potential entry and exit points. Long positions are triggered when the 10-day EMA crosses above the 50-day EMA, and short positions are initiated when the 10-day EMA crosses below the 50-day EMA. A trailing stop-loss is implemented to protect against sudden reversals.

The strategy also includes a volatility filter that adjusts position sizes based on the 20-day average true range (ATR), ensuring that trade sizes are inversely proportional to market uncertainty. The hypothesis is that this method would have mitigated losses during MIRA’s recent collapse by exiting long positions early in the trend reversal and potentially capturing short-term bearish momentum. Given the pronounced downtrend and lack of support levels, the backtest would also test whether a purely bearish bias would yield superior results compared to a trend-following model in this environment.