Nowcasting Series

This module provides functionality for nowcasting financial data using a Multi-Frequency Long-term and Event-based forecasting method.

Tutorials are the best documentation — Nowcasting Series Tutorial

Nowcasting Module

This module demonstrates how to use the sovai library for nowcasting financial data, particularly focusing on accounting data for mega-cap stocks.

Setup

First, import and authenticate with the sovai library:

Nowcasting

For a Specific Stock

To perform nowcasting for a particular stock (e.g., AAPL) and a specific accounting metric (e.g., accounts receivable):

df_accounting.query("ticker == 'AAPL'").nowcast("data", "accounts_receivable")

For All Stocks

To perform nowcasting for all stocks in the dataset:

df_accounting.nowcast("data", "accounts_receivable")

Visualization

To create a plot of the nowcasted data:

df_accounting.nowcast("plot")

Notes

• The sovai library provides methods for data retrieval, stock selection, and nowcasting.

• The nowcast method can be used with "data" parameter to return nowcasted data, or "plot" to generate a visualization.

• Make sure you have the necessary permissions and a valid token to access the sovai library and its data.

This notebook demonstrates a streamlined approach to nowcasting financial data using the sovai library, allowing for quick analysis of accounting metrics for mega-cap stocks.