Alpha#65
Type:
alpha_65
• Category:indicators
Description
Alpha#65 - weighted correlation and open min.
Parameters
Name | Type | Description | Required | Default |
---|---|---|---|---|
dataExp | string | price data | no | |
open | string | select the column with opening prices | no | |
vwap | string | select the column with VWAP | no | |
volume | string | select the column with volume | no |
Help
Alpha#65
Description
Alpha#65 is an indicator from Alpha 101, a set of formulaic alphas used in investing strategies. This indicator calculates a weighted correlation and open minimum.
What does this worker do?
This worker implements the Alpha#65 strategy, which combines weighted correlation and open minimum to generate a signal. The strategy uses price data, opening prices, VWAP (Volume-Weighted Average Price), and volume to calculate the alpha.
How to interpret the results
The results of this worker can be used to inform investment decisions. A higher alpha value indicates a stronger signal, while a lower alpha value indicates a weaker signal. The interpretation of the results depends on the specific investment strategy and goals.
Parameters
The following parameters are required to run this worker:
- dataExp:
price data
- Type: DataFrame
- Description: Price data used to calculate the alpha
- open:
select the column with opening prices
- Type: String
- Description: Column name with opening prices
- vwap:
select the column with VWAP
- Type: String
- Description: Column name with VWAP
- volume:
select the column with volume
- Type: String
- Description: Column name with volume
Usage
To use this worker, simply provide the required parameters and run the worker. The worker will calculate the alpha value based on the provided data.
Visualizing the Indicator
The following images demonstrate how to use the Alpha#65 indicator:
Publication
For more information on the 101 Formulaic Alphas, including Alpha#65, please refer to the publication:
101 Formulaic Alphas by Zura Kakushadze
This publication provides a comprehensive overview of the formulaic alphas, including their construction, performance, and applications.