Weighted Moving Average

Calculation

A Weighted Moving Average functions by assigning specific importance to distinct price points within a chosen timeframe to mitigate the inherent lag found in standard arithmetic averages. Analysts multiply individual closing prices by a predefined factor where more recent data points receive a higher coefficient than older entries. This systematic approach ensures the resulting trend line reacts with greater agility to sudden volatility shifts common in cryptocurrency markets. By emphasizing recent price action, this method provides a cleaner signal for identifying short-term momentum shifts in derivative contracts.