MIRA - -91.01% 24-Hour Drop Amid Volatile Market Conditions

Generated by AI AgentAinvest Crypto Movers Radar
Sunday, Oct 5, 2025 12:33 am ET1min read
MIRA--
Aime RobotAime Summary

- MIRA plummeted 91.01% in 24 hours to $0.6095 on Oct 5, 2025, despite 8.21% gains over 7 days and 1 month.

- The sharp decline highlighted market volatility, with MIRA breaking below key moving averages and failing to hold support levels.

- A backtesting strategy using 50/200-period moving averages and RSI divergence aims to capture MIRA's volatility during its 3-month test period.

On OCT 5 2025, MIRAMIRA-- dropped by 91.01% within 24 hours to reach $0.6095, MIRA rose by 8.21% within 7 days, rose by 8.21% within 1 month, and dropped by 5004.92% within 1 year.

The recent sharp decline of MIRA has drawn attention from market participants and traders, particularly given its previous resilience over a seven-day and one-month horizon. The 24-hour drop marks one of the most dramatic intraday declines in MIRA’s history, underscoring the volatile and unpredictable nature of the current market environment. Analysts have highlighted the rapid shift from positive momentum to a significant correction as a key signal of underlying market instability.

Technical indicators show that MIRA has moved below several key moving averages in the wake of the 24-hour drop, reinforcing the bearish sentiment. The Relative Strength Index (RSI) currently indicates overbought conditions, though this has not been sufficient to prevent further downward movement. The price has also failed to hold above recent support levels, suggesting the market may continue to test lower thresholds.

Backtest Hypothesis

A proposed backtesting strategy has been outlined to evaluate the potential effectiveness of a short-term trading approach in response to MIRA’s volatility. The strategy utilizes a combination of the 50-period and 200-period moving averages to determine entry and exit points. Specifically, it triggers a sell signal when the 50-period moving average crosses below the 200-period, and a buy signal when it crosses above. Additional filters include RSI divergence and candlestick patterns to refine signal accuracy.

The hypothesis is that this strategy could have captured key portions of MIRA’s recent downturn while also participating in its short-term rebounds. The test period would focus on the past three months, a timeframe that includes both the 24-hour drop and the subsequent 7-day and 30-day recovery. The performance of the strategy would be assessed based on win rate, risk-reward ratio, and maximum drawdown during the test window.

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