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03 Stock Prediction - Deployment

02 Stock Prediction - Deployment

This workflow calls one workflow that accesses historical stock price data and another workflow that generates the price forecasts for the selected stock symbols. The workflow exports the prediction results as a CSV file and visualizes the expected returns in a bar chart. These results can then be automatically sent to a selected email address when the workflow executes.

The implementation of the workflow references the stock price prediction application built by Crystalloids (link attached).






This workflow calls workflows to access historical stock pricedata and to generate stock price predictions. After that, it exportsthe prediction results. Attach .csv file andplot of stock predictions to an e-mailInitiate a loop for each stock symbolInsert a list of stock symbolsWrite daily predictions to a .csvAdd predictionsto history fileExport plot to a fileGather all predictionsSend Email IF Switch End IF Determine stockavailability Table Row ToVariable Loop Start Bar Chart Last available date String to Date&Time Table Creator CSV Writer CSV Writer Image Writer (Port) Call WorkflowService Loop End Call WorkflowService Preprocess results This workflow calls workflows to access historical stock pricedata and to generate stock price predictions. After that, it exportsthe prediction results. Attach .csv file andplot of stock predictions to an e-mailInitiate a loop for each stock symbolInsert a list of stock symbolsWrite daily predictions to a .csvAdd predictionsto history fileExport plot to a fileGather all predictionsSend Email IF Switch End IF Determine stockavailability Table Row ToVariable Loop Start Bar Chart Last available date String to Date&Time Table Creator CSV Writer CSV Writer Image Writer (Port) Call WorkflowService Loop End Call WorkflowService Preprocess results

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: maarit.widmann
Created at: 2021-11-05
On NodePit since: 2023-08-23
Last update: 2025-02-16
Created with KNIME version: v4.5.1
Tags: stock predictionfinancetime series

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