Alpha#60

Type: alpha_60 • Category: indicators

Description

Alpha#60 - scaled rank differences.

Parameters

Name	Type	Description	Required	Default
dataExp	string	price data	no
close	string	select the column with closing prices	no
low	string	select the column with lowest prices	no
high	string	select the column with highest prices	no
volume	string	select the column with volume	no

Help

Alpha#60

Description

Alpha#60 is an indicator from Alpha 101, a set of formulaic alphas used in investing strategies. This indicator calculates scaled rank differences.

What does this worker do?

The Alpha#60 worker calculates the scaled rank differences based on the provided price data, including closing, lowest, highest prices, and volume.

How to interpret the results

The results of the Alpha#60 worker can be used to identify potential investment opportunities. A higher value indicates a greater difference in rank, which may suggest a stronger trend or reversal.

Parameters

List of Parameters

Parameter	Type	Description
dataExp	DataFrame	Price data
close	string	Column with closing prices
low	string	Column with lowest prices
high	string	Column with highest prices
volume	string	Column with volume

Usage

To use the Alpha#60 worker, simply provide the required parameters:

• dataExp: The price data DataFrame.
• close, low, high, and volume: The respective column names in the dataExp DataFrame.

Example

Here is an example of how to use the Alpha#60 worker:

# Import necessary libraries
import pandas as pd

# Load price data
dataExp = pd.read_csv('price_data.csv')

# Define column names
close = 'close'
low = 'low'
high = 'high'
volume = 'volume'

# Create and run the Alpha#60 worker
alpha60 = Alpha60(dataExp, close, low, high, volume)
result = alpha60.run()

Visualizing the Indicator

The following GIFs demonstrate how to use the Alpha#60 worker:

Publication

For more information on Alpha 101 and the 101 Formulaic Alphas, please refer to the publication:

101 Formulaic Alphas by Zura Kakushadze.