Predicting Buy and Sell Signals for Stocks using Bollinger Bands and MACD with the Help of Machine Learning

Investors usually take the decisions of buying and selling the stocks by evaluating a company’s performance. These stock prices can be increased or decreased. Technical traders use many indicators to develop trading strategies. These tools can also help ordinary investors. With a little background knowledge, an ordinary person can also buy and sell signals at right time with huge profits and low losses. This is accomplished by combining two dominant technical indicators Moving Average Convergence Divergence and Bollinger bands indicators, to create strategies, and then forecasting the trend using the ARIMA Time Series model. This model is mainly useful for short term trading. This model is provided with 98% accuracy in predicting the trend.