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Rapidminer 5.0 Video Tutorial 8 - Financial Time Series Data Discovery

In this video we review data discovery techniques for Financial Time Series data by calculating a Simple Moving Average (SMA), creating a non-linear trend line using a Neural Net operator, and creating a time series prediction line using a Neural Net operator.

Here is the XLS training files.

  1. S&P500 Training XLS
Up next Rapidminer 5.0 Video Tutorial 7 - Evolutionary Weighting Example In this tutorial, we highlight Rapidminer’s weighting operator using an evolutionary approach.  We use financial data to preweight inputs before we Rapidminer 5.0 Video Tutorial 9 - Financial Time Series Modeling Part 1 In this video we start building a financial time series model, using S&P500 daily OHLCV data, and the windowing, sliding validation, and
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