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    GasPredictor.com's Track Record for January, 2010

    Our published national forecasts for the month of January, 2010. Success rate for the month: 100%.

    More Track Records

    Results for January, 2010

    Date of
    Prediction    		 Buy Today
    Recommended?    		 Next-Day
    Actual Price    		 Buy -- No Buy
    Correct?
    01/04/2010 Yes Up Yes
    01/05/2010 Yes Up Yes
    01/06/2010 Yes Up Yes
    01/07/2010 Yes Up Yes
    01/08/2010 Yes Up Yes
    01/11/2010 Yes Steady Yes
    01/12/2010 Yes Up Yes
    01/13/2010 No Down Yes
    01/14/2010 Yes Steady Yes
    01/15/2010 No Down Yes
    01/19/2010 No Down Yes
    01/20/2010 No Steady Yes
    01/21/2010 No Down Yes
    01/22/2010 No Down Yes
    01/25/2010 Yes Steady Yes
    01/26/2010 No Down Yes
    01/27/2010 No Down Yes
    01/28/2010 No Down Yes
    01/29/2010 No Down Yes

    Key

    • Date of Prediction - The date we issued this prediction, pertaining to the next business day.
    • Buy Today Recommended? - Did we recommend buying gas that day ("yes"), or waiting to buy gas the next day ("no.")
    • Next-Day Actual Price - Which direction did retail gasoline prices move the day after our prediction?
    • Correct? - Was our recommendation correct? Would you have realized a savings, or at least not realized a loss, by following our recommendation?

    More Track Records

    Our prediction algorithm is designed to predict the change in retail price of regular unleaded gas at the second cheapest gas stations. Each day, based on that prediction, we recommend whether to buy gas today, or whether you would come out ahead by waiting until tomorrow. We check our prediction against the most recent available prices at the second cheapest gas stations in our test areas. If you would have saved money, or not lost money, by following our recommendation, we call that a successful prediction.

    Disclaimer: This Web site, and all of its predictions and prediction devices, are for educational and entertainment purposes only. We will not be responsible for incorrect predictions, or for any damage or losses you may incur as a result of using these predictions. While we believe that our prediction algorithm works, you must accept responsibility for your choice to use this information.


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