MIRA -1004.72% in 24 Hours Due to Sharp Price Drop

On OCT 9 2025, MIRA dropped by 1004.72% within 24 hours to reach $0.4761, MIRA dropped by 2259.06% within 7 days, dropped by 2181.55% within 1 month, and dropped by 6097.82% within 1 year.

The recent collapse in MIRA’s price marks one of the most severe declines in its history. The token experienced an unprecedented drop of over 1,000% in a single day, signaling a dramatic shift in market sentiment and liquidity. Traders and investors observed an extremely rapid sell-off, with the asset failing to recover any significant ground in the short term. The severity of the drop raised concerns regarding the underlying structure of the asset and the market’s overall confidence.

MIRA’s technical indicators reflected a strong bearish momentum. The Relative Strength Index (RSI) fell below 20, a commonly accepted oversold threshold, but failed to produce a recovery signal. Moving Average Convergence Divergence (MACD) also turned deeply negative, reinforcing the bearish narrative. The stock has not shown any sign of reversal and continues to trade well below its previous support levels. These indicators suggest a continued downtrend, with no immediate signs of stabilization or buying interest.

The market reaction to MIRA’s collapse has been muted, with limited commentary from analysts due to the rapid and unexpected nature of the drop. No clear catalyst has been identified for the move, leading to speculation about underlying liquidity issues or systemic market pressures. However, no official statements have been released regarding the cause of the sharp decline. Analysts project that unless a clear and credible recovery strategy is introduced, the bearish trend is likely to continue in the near term.

Backtest Hypothesis

In light of the observed technical conditions, a backtesting strategy was proposed to evaluate potential risk management approaches. The strategy aimed to simulate a series of short-term trades based on the RSI and MACD indicators. A short position would have been initiated once the RSI crossed below 20 and the MACD turned negative, with an exit triggered once the RSI crossed above 50 or the MACD crossed above the signal line. The goal was to determine whether a systematic exit at these levels could have mitigated losses or generated a profit during the downturn.

This approach was designed to test the effectiveness of a purely technical trading model in a highly bearish environment. The hypothesis suggests that, despite the severity of the drop, a disciplined strategy based on clearly defined technical thresholds could have provided some risk control or captured short-term volatility. The results of the backtest could inform future strategies for managing assets with similar volatility profiles.