Alpha#91

Type: alpha_91 • Category: indicators

Description

Alpha#91 - negative difference of ts_rank decays and rank decay.

Parameters

Name	Type	Description	Required	Default
dataExp	string	price data	no
close	string	select the column with closing prices	no
volume	string	select the column with volume	no
vwap	string	select the column with VWAP	no

Help

Alpha#91

Description

Alpha#91 is an indicator from Alpha 101, a set of formulaic alphas used in investing strategies. This indicator calculates the negative difference of ts_rank decays and rank decay.

What does this worker do?

This worker calculates the Alpha#91 indicator, which is based on the negative difference of ts_rank decays and rank decay. It uses price data, closing prices, volume, and VWAP (Volume-Weighted Average Price) to compute the indicator.

How to interpret the results

The Alpha#91 indicator can be used to identify potential trading opportunities. A higher value indicates a stronger signal, while a lower value indicates a weaker signal.

Parameters

The following parameters are required to compute the Alpha#91 indicator:

• dataExp: pandas.DataFrame
  • Description: Price data
• close: str
  • Description: Column name with closing prices
• volume: str
  • Description: Column name with volume data
• vwap: str
  • Description: Column name with VWAP data

Usage

To use this worker, simply provide the required parameters and run the indicator. You can refer to the following GIFs for a step-by-step guide:

Reference

For more information on the 101 Formulaic Alphas, please refer to the publication by Zura Kakushadze:

• 101 Formulaic Alphas by Zura Kakushadze

Note that this documentation is based on the provided details and may need to be adjusted according to specific requirements.