This workflow takes as input a list of stock symbols from Yahoo Finance. After some preprocessing to determine the date range, this information is sent to the pandas webreader library (through the Python Source node) to collect (near) realtime stock information. The information is sent to the modelling workflow (through the Call Workflow node) where feature creation, model estimation and prediction takes place for each stock symbol. This workflow collects the predictions and the reliability of the model and displays the expected percentage change in value for each stock symbol visually. Note: To use this workflow you need to have Python and the following libraries installed on your machine: -pandas as pd -pandas-datareader -datetime
Used extensions & nodes
Created with KNIME Analytics Platform version 4.0.2
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