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Abstract
In this paper we are envisaging the stock Market by considering variousaspects that are tangled in the forecast – bodily factors vs. Psychological, normal and illogical behavior, etc. All these aspects associate to create share prices instable and actualchallenging to forecast with a great degree of precision.Our objective is to build the software/website which analyses former stock records of assuredcompanies based on several weather factors affecting stock assessment. The website is intended to give the predictions on the stock prices of selected companies based on the weather or climatic conditions in the city/state. The stock prices are reflected as per the Bombay Stock Exchange(BSE). These predictions are based on the behavior of the stock price of the company on each day with respect to the climatic conditions on the respective day. The data used to predict the prices is of the recent year i.e., 2019 and 2018. We are using the ML Algorithms to generate the Regression model which will be used for the predictions and this model will be integrated on the web using the FLASK .Using the SPSS software for pre-analysis of the data to verify any outliers and also for generating the charts and graphs. Using Apache Spark API’s for managing the data and manipulating it as per requirements.