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stock-price-movement-prediction using multivariate regression

Predict stock(AAPL) movement taking NASDAQ and S&P00 as indices Extract sentiment from twitter by sentiment analysis

Technical Analysis : In this project, the future price movement of AAPL stock is predicted by using data science approach. The historical data of AAPL, NASDAQ, and S&P500 is analyzed and further new features are added by using financial domain knowledge. Also, only those features are selected which have a high correlation with output.In the final stage both regression and classification algorithms are used to predict the stock price movement. Rolling cross-validation metric is used for evaluation of model.

Sentiment analysis: Tweets related to stock market are collected from various sources to train a model to classify the tweets into positive, negative or neutral

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Predict stock(AAPL) movement taking NASDAQ and S&P00 as indices

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