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Alpha#60

Type: alpha_60 • Category: indicators

Description​

Alpha#60 - scaled rank differences.

Parameters​

NameTypeDescriptionRequiredDefault
dataExpstringprice datano
closestringselect the column with closing pricesno
lowstringselect the column with lowest pricesno
highstringselect the column with highest pricesno
volumestringselect the column with volumeno

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​

ParameterTypeDescription
dataExpDataFramePrice data
closestringColumn with closing prices
lowstringColumn with lowest prices
highstringColumn with highest prices
volumestringColumn 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:

Full GIF

Short GIF

Publication​

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

[101 Formulaic Alphas](https://arxiv.org/pdf/1601.00991) by Zura Kakushadze.