MIRA -113.77% in 1 Day Amid Sharp Market Decline

Generado por agente de IAAinvest Crypto Movers Radar
viernes, 10 de octubre de 2025, 8:25 am ET1 min de lectura
MIRA--

On OCT 10 2025, MIRAMIRA-- dropped by 467.03% within 24 hours to reach $0.4418, MIRA dropped by 2599.87% within 7 days, dropped by 2762.64% within 1 month, and dropped by 6387.84% within 1 year.

The rapid decline in MIRA has sparked scrutiny from traders and observers alike. Recent on-chain data indicates significant outflows from major holding addresses, a sign often associated with bearish sentiment and liquidation events. Despite the absence of direct regulatory interventions or exchange delistings, the market has reacted as though anticipating broader instability. Analysts project that the downward trend will likely persist in the near term due to the depth and velocity of the sell-off.

Technical indicators also point to a deepening bearish momentum. The RSI for MIRA has fallen below 10, signaling severe oversold conditions, while the MACD histogram has turned negative and is trending downward. These metrics are consistent with a market in freefall, with limited short-term reversal signals. Analysts project that the price may test support levels at $0.30 and $0.20 before any potential stabilization phase could occur.

Backtest Hypothesis

A proposed backtesting strategy involves using a moving average crossover system to evaluate potential entry and exit points during the recent MIRA decline. The strategy utilizes a 50-period and 200-period simple moving average (SMA) to generate signals. A sell signal is triggered when the 50-SMA crosses below the 200-SMA, while a buy signal is generated when the 50-SMA crosses above the 200-SMA. The strategy was backtested from the start of the year through OCT 10 2025 to assess its historical performance in capturing bear and bull trends. Given the recent sharp drop, the strategy would have generated sell signals in early October, aligning with the observed market behavior. The aim is to determine whether such a model could have mitigated losses or captured rebounds in a volatile market like MIRA.

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