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The McGinley Dynamic Indicator is an adaptive moving average developed by market technician John R. McGinley, designed to automatically adjust its smoothing speed based on the velocity of price movement — eliminating the primary weakness of fixed-period moving averages (SMA and EMA) which move too slowly in trending markets and too quickly in choppy markets. Unlike standard moving averages that use fixed parameters, the McGinley Dynamic calculates each period's value by adjusting the prior value based on how fast the market is actually moving relative to the indicator's current level — applying a denominator that scales with the square of the ratio between the indicator and the current price. The result is a moving average that closely tracks prices during rapid trends while remaining stable during consolidations — reducing whipsaws and false crossover signals that plague fixed-parameter moving averages. For Indian equity traders using Nifty 50, Bank Nifty, and large-cap stock charts, the McGinley Dynamic offers a more reliable trend-following signal than a simple or exponential moving average — particularly in the volatile, news-driven price action common in Indian markets around RBI policy meetings, quarterly earnings releases, and budget announcements. It is used as a trend filter for entry-exit signals in conjunction with momentum oscillators.