SIMPLE MOVING AVERAGE (SMA)
Back to GlossaryDefinition
An average of prices over a set number of periods with equal weighting.
Summary
A Simple Moving Average (SMA) is a technical analysis tool that smooths out price data by calculating the average price of a security over a specific number of time periods (like days, weeks, or months). Unlike weighted averages, each data point in an SMA carries equal importance. For example, a 10-day SMA adds up the closing prices of the last 10 days and divides by 10. As new data comes in, the oldest data point drops off, creating a 'moving' average that helps identify trends and reduce the noise from daily price fluctuations.
Usage Context
Understanding SMA is crucial when learning technical analysis, chart reading, trend identification, and developing trading strategies. It's fundamental for grasping more complex indicators and forming the basis for many trading decisions and risk management techniques.
Common Confusions
- Confusing SMA with EMA - thinking all moving averages weight recent data more heavily
- Believing SMA predicts future prices rather than just identifying trends
- Not understanding that SMA is a lagging indicator
- Thinking longer periods are always better than shorter periods
- Assuming SMA works equally well in all market conditions
