Stock Prediction Using Sentiment Analysis in Twitter for Day Trader

Capital market is a huge investment in today market because it has a great value in optimizing capital allocation, funding and also increasing the value of properties. Stock prediction is essential for day trader to determine what their next moves are for that day and tomorrow since they have to be one step further than the long term trader. With social media that rapidly increasing in popularity, one website stands out for the potential to use it for mining the database for the stock prediction which is twitter. This also combining with the sentiment analysis is used to predict the value of the stock. This are being done using with a sentiment analysis software that can give score to each individual tweets. The core of the prediction method is Artificial Neural Network that is present inside MATLAB to help us train the data and predict the price of the stock. The findings were that there is a very strong correlation between the sentiment and the value of the stock price and the artificial Neural Network has been successfully implemented with 99.95% success rate. Therefore, we can conclude that this method can be used to predict the price of the stock.