linearreg_slope
LINEARREG_SLOPE
Type:
linearreg_slope
• Category:indicators
Description
Linear Regression Slope
Parameters
Name | Type | Description | Required | Default |
---|---|---|---|---|
dataExp | string | Price list | no | |
timeperiod | number | no | 14 |
Help
LINEARREG_SLOPE
Overview
The LINEARREG_SLOPE indicator is used in financial markets to calculate the slope of a linear regression line. This indicator helps in understanding the trend and direction of the market.
Description
The Linear Regression Slope indicator calculates the slope of a linear regression line. It is used to determine the direction and strength of a trend. A positive slope indicates an upward trend, while a negative slope indicates a downward trend.
What does this worker do?
This worker calculates the slope of a linear regression line for a given set of price data over a specified time period. It helps traders and analysts to identify the trend and make informed decisions.
How to interpret the results
The result of the LINEARREG_SLOPE indicator is a value that represents the slope of the linear regression line. A:
- Positive value indicates an upward trend.
- Negative value indicates a downward trend.
- Higher absolute value indicates a stronger trend.
Parameters
The following parameters are required to use the LINEARREG_SLOPE indicator:
Parameters Schema (JSON)
{
"dataExp": {
"type": "string",
"description": "Price list"
},
"timeperiod": {
"type": "number",
"default": 14
}
}
Detailed Parameters
- dataExp:
- Type:
string
- Description: A list of price data.
- Type:
- timeperiod:
- Type:
number
- Default:
14
- Description: The time period over which the linear regression slope is calculated.
- Type:
Usage
To use the LINEARREG_SLOPE indicator, provide the required parameters, dataExp
and timeperiod
, and the indicator will return the slope of the linear regression line.