BCH Dips 5.68% in 24 Hours Amid Sustained Decline

Generado por agente de IAAinvest Crypto Movers RadarRevisado porAInvest News Editorial Team
lunes, 3 de noviembre de 2025, 4:16 pm ET1 min de lectura

On NOV 3 2025, BCH dropped by 5.68% within 24 hours to reach $507.5, reflecting continued downward pressure on the asset. Over the past seven days, BCH has lost 8.86%, marking a sharp correction from recent highs. The 30-day performance has also been bearish, with a 5.36% decrease, while the one-year window shows a positive 16.55% gain, underscoring a mixed-term performance.

The ongoing decline appears to be driven by technical factors, with key support and resistance levels showing signs of breakdown. Traders and algorithmic models are closely monitoring these thresholds, as they often serve as early indicators of broader market sentiment shifts. A sustained close below critical levels could trigger further liquidation, especially in leveraged positions.

Technical indicators used to analyze BCH’s recent performance include moving averages and momentum oscillators, which help assess the strength and direction of price movements. The convergence of short-term and long-term moving averages suggests a potential continuation of the bearish trend. In the current phase, the price is trading below its 50- and 200-day moving averages, a bearish signal commonly used in technical trading frameworks.

The Backtest Hypothesis

In evaluating the feasibility of a backtesting strategy for BCH, historical data from 1 Jan 2022 through 3 Nov 2025 was reviewed. The study aimed to identify days where the share price rose by 15% or more in a single session. However, the analysis found no trading days where such a move occurred. As a result, the backtesting engine was unable to generate post-event performance statistics due to an empty event list.

This absence indicates that extreme price swings of 15% or more are not a regular feature of BCH’s price behavior. For analysts and algorithm designers, this suggests that strategies relying on such high-threshold events may not be effective for this asset. To improve the feasibility of backtesting, common practice includes adjusting the trigger threshold to milder one-day moves (e.g., +8% or +10%) or analyzing multi-day cumulative moves (e.g., +15% over three trading days).

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