Deep Learning for Financial Prediction

Finance is one of the main pillars on which an economy grows. Having a precise understanding of how the financial market works corroborates greater monetary returns. Stock Markets are established for the general public to own a piece of a company and state an ownership whereas the company gains funds from the public which are used for the expansion of the business and return profits to the investor based on the amount of investment. However choosing which company's stock to buy is the most challenging task. Exhaustive research and study about the company, their way of working, history, their place in the market, their holdings, projects, etc is required to get an idea about their present performance and future. However no one can predict how a company will perform in the future but an estimation can be achieved by studying various parameters. Machine Learning and Deep Learning techniques have proven their mettle in analysing and prediction data with state of the art results. Though without any intention to predict the exact future of a company, these techniques can be extremely helpful in getting an estimation which bolster our choice rather than just trusting our intuition. Recurrent Neural Network and Long-Shot Term Memory (LSTM) are used to get an approximate estimation of the future of a stock. This would help us in choosing the right stock and thus improve the return of investment.