Rank Correlation Index (RCI)

Overview
Adding Indicator
Indicator Parameters
Visualization

Overview

The Rank Correlation Index (RCI) uses a combination of price change data and time change data to identify potential changes in market sentiment, thereby exposing turning points.

Mathematical description of the indicator: RCI Mathematical Description.

Adding Indicator

The RCI indicator is added using the rci() method. It requires a mapping with one field: "value" (or "close"):

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

// map loaded data
var mapping = dataTable.mapAs({"open": 1, "high": 2, "low": 3, "close": 4});

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

// create the first plot on the chart
var plot_0 = chart.plot(0);

// create an ohlc series
var ohlcSeries = plot_0.ohlc(mapping);
ohlcSeries.name('CSCO');

// create the second plot on the chart
var plot_1 = chart.plot(1);

// create an RCI indicator
var rci = plot_1.rci(mapping);

Here is a live sample:

Playground

Indicator Parameters

There are four parameters the RCI indicator has, one of them is necessary - the mapping.

Then you can set the the period and the series type.

The following code sample demonstrates an RCI indicator with parameters set as default:

var rci = plot.rci(mapping, 12, "line");

Visualization

Vizualization of an indicator depends on the type of series you display it with. Here is a sample where Rank Correlation Index indicators with different parameters and settings are added to different plots:

// create and adjust an RCI indicator
var rci_1 = plot_1.rci(mapping);

// create and adjust an RCI indicator
var rci_2 = plot_2.rci(mapping);
rci_2.series().stroke("1 red");

Live sample:

Playground