What is MACD?
The MACD indicator is a collection of three time series calculated from historical price data, most often the closing price. These three series are:
- the MACD series proper, which is the difference between a "fast" (short period) exponential moving average (EMA), and a "slow" (longer period) EMA of the price series,
- the "signal" or "average" series, which is an EMA of the MACD series itself, and
- the "divergence" series which is the difference between the two.
The MACD indicator thus depends on three time parameters, namely the time constants of the three EMAs. The notation "MACD(a,b,c)" usually denotes the indicator where the MACD series is the difference of EMAs with characteristic times a and b, and the average series is an EMA of the MACD series with characteristic time c. These parameters are usually measured in days. The most commonly used values are 12, 26, and 9 days, that is, MACD(12,26,9).
Since the MACD is based on moving averages, it is inherently a lagging indicator. As a metric of price trends, the MACD is less useful for stocks that are not trending (trading in a range) or are trading with erratic price action.
Why 12, 26, 9?
As true with most of the technical indicators, MACD also finds its period settings from the old days when technical analysis used to be mainly based on the daily charts. The reason was the lack of the modern trading platforms which show the changing prices every moment. As the working week used to be 6-days, the period settings of (12, 26, 9) represent 2 weeks, 1 month and one and a half week. [2] Now when the trading weeks have only 5 days, possibilities of changing the period settings cannot be overruled. However, it is always better to stick to the period settings which are used by the majority of traders as the buying and selling decisions based on the standard settings further push the prices in that direction.
How to interprete MACD?
- Signal-line Crossover
- Zero Crossover
- Divergence
MACD False Signal?
A prudent strategy may be to apply a filter to signal line crossovers to ensure that they have held up. An example of a price filter would be to buy if the MACD line breaks above the signal line and then remains above it for three days. As with any filtering strategy, this reduces the probability of false signals but increases the frequency of missed profit. Analysts use a variety of approaches to filter out false signals and confirm true ones.