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This is my first time ever to use EVIEWS to forecast stock price. As I am still a beginner and I hit a lot of problems.

First I download a set of daily data of IBM stock price from 24/01/2009 to 24/01/2019, then using automatic ARIMA forecast with the following setting:
ARIMA specification: Max diff. is 2, Max AR and Max MA are both 4, SAR and SMA are both zero and periodicity is 10
Transformation is auto
Regressors is c

After I launched the application, I have the following results:

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Automatic ARIMA Forecasting
Selected dependent variable: DLOG(CLOSE, 2)
Date: 01/24/19 Time: 18:30
Sample: 1/20/2009 1/17/2019
Included observations: 2515
Forecast length: 0

Number of estimated ARMA models: 25
Number of non-converged estimations: 0
Selected ARMA model: (2,2)(0,0)
AIC value: -5.85479996399

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First of all, what does Selected ARMA model: (2,2)(0,0) mean here? How I check the coefficients of the regression? Second, should I set periodicity equal to zero?
Third, what is the right procedure to forecast stock prices?

Third, what is the right procedure to forecast stock prices?

The right way to forecast the stock price P_(t+1) is almost certainly P_t, or perhaps P_t times a constant very, very slightly above 1.0.