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National Association of Securities Dealers Automated Quotations(NASDAQ) is anAmerican stock exchange based. It is one of the most valuable stock economicindices in the world and is located in New York City \cite{pagano2008quality}.The volatility of the stock market and the influence of economic indicatorssuch as crude oil, gold, and the dollar in the stock market, and NASDAQ sharesare also affected and have a volatile and chaotic nature\cite{firouzjaee2022lstm}.In this article, we have examined the effect of oil,dollar, gold, and the volatility of the stock market in the economic market,and then we have also examined the effect of these indicators on NASDAQ stocks.Then we started to analyze the impact of the feedback on the past prices ofNASDAQ stocks and its impact on the current price. Using PCA and LinearRegression algorithm, we have designed an optimal dynamic learning experiencefor modeling these stocks. The results obtained from the quantitative analysisare consistent with the results of the qualitative analysis of economicstudies, and the modeling done with the optimal dynamic experience of machinelearning justifies the current price of NASDAQ shares.

Design interpretable experience of dynamical feed forward machine learning model for forecasting NASDAQ