Still have questions?
Contact support

# Stochastic

## Overview

Stochastic oscillator is a momentum indicator introduced by George Lane in the 1950s. Stochastic oscillator helps with comparing the closing price of a commodity to its price range over a given time span. The %K and %D lines show whether it's better to buy or sell: the moments when those two lines cross each other are regarded as the best for money operations.

There are three most famous modifications of Stochastic Oscillator: Fast Stochastic, Slow Stochastic and Full Stochastic. AnyChart Stock allows adding all these types using the same method with different parameters.

Mathematical description: Stochastic Oscillator Mathematical Description.

Stochastic Oscillator indicator is added using the stochastic() method. It requires three data fields: `"high"`, `"low"`, and `"close"`:

``````// create data table on loaded data
var dataTable = anychart.data.table();

// add data to a table

var mapping = dataTable.mapAs();

// create stock chart
chart = anychart.stock();

// create plot on the chart
var plot = chart.plot(0);

// create stochastic indicator
var stochastic = plot.stochastic(mapping, 10, "EMA", 10, "SMA", 20);
stochastic_k = stochastic.kSeries();
stochastic_k.stroke("#bf360c");
stochastic_d = stochastic.dSeries();
stochastic_d.stroke("#ff6d00");
``````

Here is a basic sample of stochastic oscillator indicator:

## Indicator Parameters

Stochastic oscillator indicator has a lot of optional parameters:

• a period for the %K value
• the moving average type of the indicator for the %K value
• a period for the smoothed %K value
• the moving average type of the indicator for the %D value
• a period for the %D value
• series type of the %K value
• series type of the %D value

The following code sample creates a stochastic oscillator indicator with %K value with period of 10 EMA smoothing and %D value with period of 20 and SMA smoothing:

``````var stochastic = plot.stochastic(mapping, 10, "EMA", 10, "SMA", 20);
stochastic_k = stochastic.kSeries();
stochastic_d = stochastic.dSeries();
``````

Stochastic oscillator has two series, use kSeries() and dSeries() methods to configure them.

The series are lines by default, it is possible to change the series type any time using the seriesType() method.

### Fast

The following values need to be set to create the Fast Stochastic Oscillator indicator:

``````// create fast stochastic oscillator indicator
var stochastic = plot.stochastic(mapping, 14, "SMA", 1, "SMA", 3);
``````

Fast Stochastic Oscillator is created by default, so the same happens when you set only a mapping:

``````// create fast stochastic oscillator indicator of fast type
var stochastic = plot.stochastic(mapping);
``````

### Slow

The following values need to be set to create the Slow Stochastic Oscillator indicator:

``````// create stochastic indicator of slow type
var stochastic = plot.stochastic(mapping, 14, "SMA", 3, "SMA", 3);
``````

### Full

There are no default values for creating the Full Stochastic Oscillator. All periods used for calculation of the %K and the %D lines have to be integer values and the modifications should be EMA and SMA.

``````// create stochastic oscillator indicator of full type
var stochastic = plot.stochastic(mapping, 30, "EMA", 10, "SMA", 1);
``````

## Visualization

Stochastic Oscillator indicator visualization adjustment depends on the chosen series type. The sample below demonstrates two plots with stochastic indicators with different parameters and visualisation settings. Settings of the %K series are adjusted using the kSeries() method and the dSeries() is used for the %D series settings.

``````// create first stochastic oscillator indicator of default series type
var stochastic_1 = plot_0.stochastic(mapping, 10, "EMA", 10, "SMA", 20);
stochastic_1.kSeries().stroke("#bf360c");
stochastic_1.dSeries().stroke("#bf309c");

// create second stochastic oscillator indicator of column series
var stochastic_2 = plot_1.stochastic(mapping, 14, "EMA", 5, "EMA", 5, "spline", "spline");
stochastic_2.kSeries().stroke("#ff6d00");
stochastic_2.dSeries().stroke("#ff6d99");
``````