Technical Analysis

Moving Averages Explained

Moving averages smooth price data to reveal the underlying trend. They're among the most widely used tools in technical analysis.

Simple vs Exponential

A Simple Moving Average (SMA) calculates the average closing price over a set number of periods. The 50-day SMA adds up the last 50 daily closing prices and divides by 50. It gives equal weight to every day in the calculation.

An Exponential Moving Average (EMA) gives more weight to recent prices, making it respond faster to current market conditions. The 50-day EMA reacts more quickly to new price data than the 50-day SMA, but can also produce more false signals.

Common Periods

The most widely watched moving averages are:

Using MAs as Dynamic Support and Resistance

Moving averages act as dynamic support and resistance levels that move with price. In an uptrend, price often pulls back to the 20 or 50 MA before bouncing and continuing higher. In a downtrend, rallies often stall at these same levels.

The 200-day MA is particularly significant. Institutional traders watch it closely, and its breaks often trigger significant moves.

Crossover Strategies

A golden cross occurs when a shorter MA (like the 50-day) crosses above a longer MA (like the 200-day). It's considered a bullish signal. A death cross — the opposite — is bearish.

These signals are lagging by nature (the cross happens after the move has started), but they're useful for confirming trend direction and filtering out noise. Many traders use crossovers as triggers for entering or exiting positions.

Key Takeaways

  • SMAs give equal weight to all periods; EMAs weight recent data more heavily
  • The 200-day MA is the most widely watched trend indicator
  • Moving averages act as dynamic support and resistance
  • Golden cross (bullish) = short MA crosses above long MA
  • Crossover signals confirm trend direction but are inherently lagging

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Risk Warning

CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. You should consider whether you understand how CFDs work and whether you can afford to take the high risk of losing your money. Past performance is not indicative of future results. Aevergreen does not provide personal investment advice.

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