ANALYSIS OF STOCK MARKET PREDICTION AND MUTUAL FUND USING MACHINE LEARNING ALGORITHMS
Objective: This project is for the users who are completely new to the finance market and want to invest money to earn profit.
Requirement Gathering:1000s of Data-Extraction from Yahoo Finance, Money Control, Twitter with Pandas Web Reader, Beautiful Soup.
Research Papers studied are 2013,Dr. R. Narayanaswamy & V. Rathnamani-Statistical Measures Theory, 2013 , Najeb M.H. Masoud proposed Importance b/w Stock Market Performance and Economic Growth.
Cost-Estimation: Function Pointts-64.2 , COCOMO Model Analysis – Effort =7.2.
Verification/Testing: Data Extracted is being verified with 4 ML algorithms, i.e. Linear Regression (60% accuracy),Logistic Regression(80% accuracy),SVR Algorithm (89% accuracy) , Decision Tree Algorithm (95% accuracy).
Did Unit Testing.
Result Analysis and Future Work: Calculated Top 5 Fund/Company giving maximum profit.
Impact : Select top 5 mutual fund or stocks to invest on at any time.