My data different to that of other sources

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Overview

On occasion you may find that the data within Your SOFTWARE differs from that of other sources.

There are multiple causes for this scenario that we will go through below.

Use of Adjusted Data

Your SOFTWARE employs the use of adjusted data.

The standard methodology employed by Dow Jones, Standard & Poors, Reuters and Bloomberg always adjusts for special dividends.

When something artificial changes the price that a stock appears to trade at, the complete historical data for that stock is adjusted so that it falls into line with the new prices.

For example, if a stock splits 2-for-1, the price is suddenly half of what it used to be.

This in turn creates a huge break in the chart.

If you didn't know about the split, you may assume that something really bad happened to the underlying company. Further to this all of the technical indicators will suddenly give "Sell" signals because of the big "drop" in prices.

To counter this effect, we divide all of the historical prices by 2 (and multiply all of the volume by 2) so that things "match up" smoothly on the charts.

Corrupt Local Data  

It may be possible that the data stored on your local machine has become corrupt.

The most simple method to overwrite any corrupt data on a single chart is to utilise Your SOFTWARE's Data on Demand facility.

The data on demand facility will contact and retrieve data from our server and store it on your computer for retrieval.
Please view the Data on Demand article for further information.

Incorrect Data From The Exchange

In some rare cases the exchange may publish incorrect values which our data provider Reuters in turn disseminates to HUBB.

In these cases it can take some time for the Exchange to revise and publish corrected data during which time the data in Your SOFTWARE may not reflect correct values.

If you believe this to be the case please contact technical Support via email at info@hubb.com and notify the Technical Support team of the symbol that you believe to have incorrect data and the date of the incorrect data

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