Exchange Rate Prediction

The following demo illustrates how the SGD changes in tandem with different currencies at a particular point of time. Moreover this demo can be extrapolated to also provide real time predictions oh how each currency would change in the future as well. Each signal has a length of 30 days, the dataset contains dates from 1988 to 2015. Contrary to a tabular view, this demo would contain a graphical interface which compares the query signal (SGD in this case) with the other currencies. Moreover, our engines have the ability to stretch the initial query signal to match historical data, allowing for a far more robust search.

Instructions :

Please visit the link mentioned at the bottom of the page to access the demo. Select an initial date and click on “Search”.

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A graphical interface would be displayed with the “Query Signal” being SGD and the “Result Signal” being another currency. Each graph displays how similar SGD is compared to the other currencies and the trend of the currency value is plotted in an easily comprehensible manner. A user can click and drag a box around a specific part of the signal to zoom in and analyse the signals in details. Double clicking on the same graph would return it to the default zoom level.

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The numbers displayed above the graphs indicate different periods of time with difference in the query distance and upon selecting each value, the graphs will be refreshed automatically, displaying how the query signal can be stretched to match similar patterns from the database available.

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The corresponding signal stretching is demonstrated below

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Upon clicking on the “View Question Signal” or the “View Result Signal”, a user is able to see a 3-D visualization of all the signals, spread across a few days. This circular positioning of the helps demonstrate how each currency moves in tandem with one another when looked at over a period of time. Standard 2-Dimensional representations would not be able to capture the change in trend since each currency would have a different value, thus skewing a 2-Dimensional graph, whereas in the 3-D visualizations, the signals are placed next to each other for ease of comparison.

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Features

  • Cloud based
  • Comprehensive
  • Discovery
  • Real-time Predictions
  • Recommendations
  • Simple Integration
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