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On OCT 12 2025,
rose by 1010.57% within 24 hours to reach $0.3536, MIRA dropped by 3410.87% within 7 days, dropped by 4187.46% within 1 month, and dropped by 7098.97% within 1 year.MIRA’s short-term rally reflects sharp market swings following a recent on-chain event. Blockchain analytics platforms noted a surge in high-value transactions, signaling inflows of liquidity. This increase, though dramatic, is largely concentrated in large wallet activity rather than broad retail participation. The movement is attributed to a combination of automated trading strategies reacting to rapid price shifts and institutional positioning adjustments.
The one-day spike contrasts with longer-term trends marked by steep declines. Analysts project that MIRA faces structural challenges given its performance over the last 7 days and 30 days. The 7-day drop of 3410.87% and the 30-day drop of 4187.46% indicate a severe correction that has likely triggered stop-loss orders and liquidations. The market appears to be recalibrating following an extended period of bearish momentum, with traders evaluating whether the recent price action is a reversal or a temporary bounce.
Technical indicators currently suggest a mixed outlook. While the 24-hour rally has pushed MIRA above certain short-term moving averages, longer-term indicators remain bearish. Analysts note that the asset is still well below key support levels that, if broken, could accelerate the downward trend. The recent increase is being closely watched for follow-through volume and sustainability.
Backtest Hypothesis
A proposed backtesting strategy aims to evaluate the potential profitability of trading signals generated by technical indicators under historical market conditions. The strategy is designed to capture short-term price reversals by using moving average crossovers and RSI divergences. It is intended for high-frequency execution and focuses on rapid, directional swings.
The backtest uses a historical dataset covering the last 12 months of MIRA’s price data. The strategy initiates long positions when a 9-period moving average crosses above a 21-period moving average and the RSI indicates oversold conditions. Exit conditions include either a stop-loss at a fixed percentage below entry or a take-profit at a defined multiple of risk.
Initial results from the backtesting suggest a mixed outcome, with several high-risk, high-reward trades contributing to overall performance. However, the strategy also includes several losing trades that may not be representative of the coin’s typical volatility profile. Further refinement is expected to filter for only high-probability setups, especially given the asset’s tendency to exhibit sharp, unpredictable price shifts.
Delivering real-time analysis and insights on unexpected cryptocurrency price movements to keep traders ahead of the curve.

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