Trading is tough. Part-time folks trading from their home are up against professionals. The professionals are really great at taking the money. Where there is potential reward, there is potential risk. The results equity curve might only show the reward side of the equation, but risk is always there. So it is a wise idea to implement Artificial intelligence and Machine learning technologies into this market which can disrupt the current scenario. In this study we use LSTM and PROPHET to predict the future stock prices. The forecast models are then compared to the actual data to measure their performance against each other. The result shows that Prophet generally outperforms LSTM.