Alpha#64
Type:
alpha_64• Category:indicators
Description
Alpha#64 - weighted correlation and delta.
Parameters
| Name | Type | Description | Required | Default |
|---|---|---|---|---|
dataExp | string | price data | no | |
open | string | select the column with opening prices | no | |
low | string | select the column with lowest prices | no | |
volume | string | select the column with volume | no | |
high | string | select the column with highest prices | no | |
vwap | string | select the column with VWAP | no |
Help
Alpha#64
Description
Alpha#64 is an indicator used in investing strategy, specifically one of the 101 Formulaic Alphas. This indicator calculates a weighted correlation and delta.
What does this worker do?
This worker calculates the Alpha#64 indicator using the provided price data. It takes into account various price metrics such as opening prices, lowest prices, highest prices, and volume.
How to interpret the results
The Alpha#64 indicator provides a weighted correlation and delta value, which can be used to inform investment decisions. A higher value may indicate a stronger correlation between the price metrics, while a lower value may indicate a weaker correlation.
Parameters
The following parameters are required to calculate the Alpha#64 indicator:
- dataExp: price data
- Type: DataFrame
- Description: Price data used to calculate the indicator
- open: column with opening prices
- Type: String
- Description: Column name with opening prices
- low: column with lowest prices
- Type: String
- Description: Column name with lowest prices
- volume: column with volume
- Type: String
- Description: Column name with volume data
- high: column with highest prices
- Type: String
- Description: Column name with highest prices
- vwap: column with VWAP
- Type: String
- Description: Column name with Volume-Weighted Average Price (VWAP) data
Usage
For a visual guide on how to use this indicator, please refer to the following GIFs:
Reference
For more information on the 101 Formulaic Alphas, please refer to the publication by Zura Kakushadze: