Stock Market Prediction Using Machine Learning (ML)

Stocks are possibly the most popular financial instrument invented for building wealth and are the centerpiece of any investment portfolio. The advances in trading technology have opened up the markets so that nowadays nearly anybody can own stocks. In a financially explosive market, as the stock market, it is important to have a very accurate prediction of a future trend. Because of the financial crisis and recording profits, it is compulsory to have a secure prediction of the values of the stocks. Predicting a non-linear signal requires progressive algorithms of machine learning with help of Artificial Intelligence (AI).

Advances in Artificial Intelligence (AI) supporting a lot in each field of life with its intelligent features. Several algorithms present in AI that performing their role in future predictions. Machine learning (ML) is a field of artificial intelligence (AI) that can be considered as we train machines with data and analysis future with test data. Machines can be trained on the basis of some standard that are called algorithms. Stock market predictions (SMP) can be great beneficial to businessman. SMP provide future trend of stock prices on the basis of previous history.

Stock market prediction is actual demand for beneficial business. Predictions always helpful to decrease risk factor in any business environment. Risk factor can be analyzed on the basis of historical data and previous business trends. This research based on several results and we used machine learning algorithm and also Machine learning frameworks are now designed to identify the social sentiment scores, analyzed technical indicators and give meaningful outcomes to stock traders.