Stock Market Predictions Based on Time Series Prophet

Predicting the accurate stock price and variation trends is crucial for companies and individuals before purchasing the stock. With the algorithm's accurate predictions, it could offer precious suggestions for the buyers and help them to choose the best stock in the market to avoid potential risks. This paper recorded the experiment carried out for predicting the trends of Tesla from 2017 to 2018 and then compared the result with actual trends. This paper also compares the accuracy of different algorithms, including linear regression and KNN (K-Nearest Neighbors) etc. This paper aims to demonstrate the detailed process of predicting a stock in the stock market covering from acquiring data, washing data and most importantly using multiple algorithms to analyze the data and generate a final prediction.