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01_Stocks

Innovation Note Stock Analysis Call Workflow Python
Stefan Helfrich profile image

Last edited: 

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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.

External resources

  • Predicting Stock Value Changes

Used extensions & nodes

Created with KNIME Analytics Platform version 4.6.1
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    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.1

    knime
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    KNIME Conda Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
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    KNIME JavaScript Views Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.1

    knime
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    KNIME Javasnippet Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
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    KNIME Personal Productivity Tools Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
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    KNIME Python Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
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    KNIME Python Integration (Labs) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.1

    knime
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    KNIME Views (Labs) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
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