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Indicators & Oscillators

Exponential Moving Average

A moving average that weights recent periods more heavily, with weights decaying geometrically into the past.

Formula EMA = Price x k + Previous EMA x (1 - k), where k = 2 / (n + 1)
Unit

In depth

The EMA responds faster than a simple average of the same length and has no drop-off effect, because every past price remains in the calculation with an ever-smaller weight rather than leaving the window abruptly. Faster response means earlier signals and more false ones, which is the same trade-off that governs every smoothing choice. The recursion means an EMA needs a seed value, so two data providers can report slightly different EMAs for the same series depending on where they started. Choosing between SMA and EMA is a preference about responsiveness, not a question with a correct answer.

Worked example

For a 10-period EMA, k = 2 / 11 = 0.1818. With today's close at ₹520 and yesterday's EMA at ₹500, today's EMA = 520 x 0.1818 + 500 x 0.8182 = 94.55 + 409.09 = ₹503.64.

Illustrative figures, chosen so the arithmetic is easy to follow. Not a live price and not a valuation of any company.

Educational reference only

This entry explains what “Exponential Moving Average” means. It is not investment advice and not a recommendation to buy or sell any security. Any numbers above are illustrative, not live prices, and nothing here predicts price direction or rates a stock. Consider your own circumstances and consult a SEBI-registered investment adviser before acting.