The data must be adjusted for splits and aberrations or your charts would be full of gaps and useless. You obviously haven't tried to use charts at all. Nor have you read your first book and are trying to reinvent the wheel from scratch and trial and error; not a good plan. Most of your beginner questions will be answered once you attempt to learn. If there's something you don't understand, we can help, but this isn't a teaching site in this little box.

We understand you want to make money, and we try to be on the correct side of the market to do that, but we do not "predict" anything. We are not psychic. We are risk managers more than "traders." You will be wrong 50% of the time, so you must guard against big losses. Nobody, not one single person, ever, has been able to predict future price any better than a coin toss. Welcome to trading. Clearly, 85% of new traders fail. I would advise against even thinking about "trading." Learn investing first. Become consistent. Develop a trade plan and test it on a simulator. Read books by successful investors. Learn how to find "value." Lines on a chart have no predictive value. Neither does P/E have predictive value, but it tells you the direction of the company relative to others and the stock price will eventually follow, but maybe not in the next few days. Investing is patience. Trading without knowledge is just gambling, or like playing another video game, hitting buttons at random, except in the real world, you cannot expect to be rewarded for ignorance and random choices.

When you open an account at any major brokerage and download their trading platform, you'll see that data is not a concern. You'll have more tools and resources than you know what to do with. Download a free trial and check it out.

http://online.barrons.com/news/articles/...

Article at stockcharts

Historical Price Data is Adjusted for Splits, Dividends and Distributions

http://support.stockcharts.com/entries/2...

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I would think that is the least of your problems!

I am trying to make a predicting model, so I am wondering should I adjust my raw unadjusted data on stocks before running a prediction model. (By adjust I mean adjustment for dividend and splits)



If you have any suggestions or arguments on what data is more appropriate, I will be very grateful to hear your opinion.