Moving Average Trading: SMA, EMA, Trend Filters, and Crossovers
Summary
The article explains moving averages as smoothed measures of recent closing prices that can help identify trend direction. It contrasts the simple moving average, which weights observations equally, with the exponential moving average, which gives more weight to recent prices and therefore responds more quickly. It proposes 20, 50, and 200 period EMAs for short, medium, and long trend views, respectively.
Three uses are described: aligning long or short bias with price and the average’s slope, treating averages as potential moving support or resistance, and watching short and longer averages cross as possible momentum signals. These are trading heuristics, not tested results; the article supplies no performance data or rules for entries, exits, or position sizing. It cautions that averages lag price and that repeated crosses in range-bound markets can produce misleading signals. The recommendations are framed for CFDs across several markets, but the examples do not establish that one parameter set works reliably across instruments or timeframes.
Key ideas
- A moving average smooths past prices to make the broader direction easier to assess.
- An SMA weights prices equally, while an EMA emphasizes recent prices.
- The article suggests 20, 50, and 200 period EMAs for different trend horizons.
- Price position and average slope can be used as directional filters.
- Crossovers may signal changing momentum, but can generate repeated false signals in sideways markets.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.