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  • Over 99% correct since November, 2008

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  • Current prices in various U.S. cities.

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  • Local Gas Prices and Forecasts

    Why are these prices so much different from what GasPredictor.com is predicting and reporting?

    1. These prices can include cash-only prices, member-only prices, and/or discounts for ancilliary purchases like car washes.
    2. These prices are reported and tabulated throughout the day, and reflect a "sliding window" of time. If prices are changing rapidly, the price displayed here will be different from when we recorded our prices.
    3. These prices include an entire metropolitan area, while our prices are generally restricted to the city proper.

    So your predictions don't reflect reality. What good are they? We believe our "second cheapest" price is an accurate reflection of what most people in a given city pay for gas. And our prediction of the direction in which gas prices are changing from one day to the next is very accurate. See How to Use Gas Predictor for a more detailed explanation.

    Eastern
    (on the Web
    about 8:30 AM EST)
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    about 7:30 AM CST)
    Mountain
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    about 6:30 AM MST)
    Pacific
    (on the Web
    about 5:30 AM PST)

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    Gas Prices in Other Areas

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    Local Gas Predictors Coming Soon

    As of 2013, we are publishing local forecasts for each of the twelve localities we use in modeling our National Gas Predictor forecasts and nine additional cities which are not included in our National Prediction Model We are gathering gas price data in a few other cities, and we might publish predictions for those cities in the future, but we have no specific plans as to which cities we will begin forecasting next.

    What would you like to see next? Let us know by using the form below, and we will adjust our plans if enough people request any particular cities or regions.

    Before we begin publishing our Gas Predictor for any particular locality, we need to adjust our forecasting algorithm for that area. The same general algorthm has worked quite well in most areas where we have tested so far, but it needs some tweaking in order to be precise enough to be useful. We can easily adjust it to predict the direction of movement in gas prices for a particular area - up, down, or steady - but it takes more adjustment and testing to get it to predict the actual price range of gasoline.

    For example, before we had perfected our forecasting for Nashua, New Hampshire, there was a day when it predicted that prices would move up the next day, from the current day's $1.75 per gallon to a range between $1.77 and $2.10. In fact, the next day, gas was selling in Nashua for $1.81 per gallon. We were correct, but the spread was just too large to be useful. We want to give you a forecast that you can use, and it takes time to develop and back-test our prediction algorithm for each locality.

    At present, we have more than three years' worth of gas price history for about 6 localities in addition to the 21 we are already publishing. For some of these locales, our algorithm works rather well, and we could begin publishing local forecasts for these cities in fairly short order. For other localities, our algorithm just doesn't seem to work, and we suspect that there are factors operating in these markets for which our algorithm does not take account, and which may not be recorded in the data we have on hand. For these cities, we would have to do a good deal more studing and tweaking, and we would need more time to gather more pertinent data, before we could publish reliable and useful predictions.

    If many visitors to our site request local gas price predictions for cities for which we do not currently have any data, it would take us quite some time to record enough daily gas prices to be sure that our algorithm works in that area. We would not be able to publish forecasts for any arbitrary city until at least four months after we begin collecting data. And even then, if that four month period happened to be in a very stable market trend, we would have to wait for a more dynamic situation before we could know that our prediction algorithm was working. For example, in the spring and summer of 2008, gas prices everywhere were going nowhere but up. If our algorithm always predicted increasing prices, fine, but how would we know that we had it adjusted correctly for declining prices? We would have to wait until our data set included some ups and some downs in order to back-test our prediction system to know that it was really working.

    We'll roll them out as quickly as we can, but only when we can be confident in our predictions.



    Suggest a Link or Request Gas Predictions

    We would like to fine-tune our predictions for various locations within the 48 contiguous United States. Our current algorithm is optimized and tested to predict direction of movement of gas prices nationwide. We are working on adjusting it to predict precise ranges of prices for particular areas. What city or region would you like to see? Let us know, and we'll see what we can do.

    We hate spam. Our business is to provide you with information you can use. We don't try to make a buck by selling your information. You can trust us to safeguard any information you provide here and not to publish it or share it with anyone else.

    It is safe to send information to us via this form, but you might want to check our Privacy Policy before you do. Briefly, we won't abuse your information, we won't send you any e-mail unless you ask for a reply, and we won't send you any more e-mail after we reply to your inquiry.
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    We hate spam. Our business is to provide you with information you can use. We don't try to make a buck by selling your information. You can trust us to safeguard any information you provide here and not to publish it or share it with anyone else.




    You'll often find additional insights and early warnings of changes in gas price direction on our Facebook page.




    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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