The Exponential Moving Average (EMA) is a type of average that helps smooth out price data in the stock market. It shows the trend more clearly by giving more importance to recent prices.
In simple words, EMA helps you see where the price of a stock is heading, without getting confused by daily ups and downs.
Imagine you are tracking your daily steps for fitness. Some days you walk 10,000 steps, some days only 2,000. To see your progress, you take an average.
Now, what if you care more about the last few days than the older ones?
That’s what EMA does. It focuses more on recent days rather than treating all days equally (like a normal average).
EMA helps traders and investors spot trends early.
Here’s how it helps:
Many trading strategies use EMA to decide when to enter or exit a trade.
Both EMA and SMA are ways to average prices over time.
But:
For example, if a stock price jumps today, EMA will show that change quicker than SMA.
The EMA formula uses today’s price, yesterday’s EMA, and a smoothing factor.
Step-by-step:
It looks complicated, but most charting apps do this automatically. You just need to understand what it means.
Let’s say you’re watching the 10-day EMA of a stock.
Today’s EMA = ₹110 × 0.1818 + ₹100 × (1 – 0.1818) = ₹101.82
So, the EMA moves a little closer to today’s price while still remembering yesterday.
EMA is mostly used in: