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What’s the difference between Fast, Slow and Full Stochastics?

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Developed by George C. Lane in the late 1950s, the Stochastic Oscillator is a momentum indicator that reflects the location of the close relative to the high/low range over a set number of periods. The location of the close is found by subtracting it from the low for that period. Here is a calculation example.

10-period high = 50
10-period low = 40
Last Price = 48

Close location = 48 - 40 = 8
High-Low range - 50 - 40 = 10
Stochastic Oscillator = 8/10 = .80

This is the calculation for the %K component of the Stochastic Oscillator (black line). Lane multiplied this by 100 to get a round number so .80 becomes 80. The Stochastic Oscillator, and %K, fluctuate between 0 and 100.

The chart below shows the Nasdaq 100 ETF (QQQQ) with Fast, Slow and Full Stochastics. Fast Stochastics (14,3) is based on the raw %K (black line) as calculated above, which produces a jagged line. The first number (14) refers to the calculation period. The red line is %D, which is a 3-day SMA of the black line. The 3 in (14,3) refers to the calculation period for this moving average. It is used as a trigger line to highlight turning points.

100423zmailstoch Click this image for details

Slow Stochastics (14,3) incorporates a 3-day SMA into %K for smoothing purposes. Notice that this black line (%K) for Slow Stochastics is smoother than the black line for Fast Stochastics. The 3 in Slow Stochastics (14,3) sets the periods for the red trigger line or moving average. It does not affect the smoothing of %K.

100423zmailstoch2

We need to use Full Stochastics (14,3,3) to adjust the smoothing in %K. 14 refers to the calculation period. The first 3 refers to the smoothing periods for %K. The second 3 refers to the moving average periods for %D (the red line). In the example above, I changed the smoothing constant to 5 in the bottom indicator window and this further smoothed the black line (%K).
Arthur Hill
About the author: , CMT, is a Senior Technical Analyst at StockCharts.com. He has written articles for numerous financial publications including Barrons and Stocks & Commodities magazine. Focusing predominantly on US equities and ETFs, his systematic approach of identifying trend, finding signals within the trend, and setting key price levels has made him an esteemed technician. In addition to his CMT designation, Arthur holds an MBA from the Cass Business School at City University in London. Learn More
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