Second.docx

Second Progress Report On STOCK PREDICTION Submitted for the requirement of Project course

BACHELOR OF ENGINEERING COMPUTER SCIENCE & ENGINEERING

Submitted To:Er.Puneet

Submitted By:NITISH KUMAR (15BCS1446) KETAN TRIVEDI (15BCS1444)

DEPARTMENT OF APPLIED SCIENCE & ENGINEERING CHANDIGARH UNIVERSITY GHARUAN, MOHALI, PUNJAB, INDIA-140413

Objective The objective of this project is try to determinethe future value of the company stock or other financial instrument traded on an exchange. The successful prediction of stock's future price could yield significant profit. The efficient market hypothesis suggests that stock prices reflect all currently available information and any price change that are not based on newly revealed information thus are inherently unpredictable. Others disagree and those with this viewpoint possess myriad methods and technologies which puportedly alow them to gain future price information.

Summary of Project The purpose of this report is to introduce the user to Stock Prediction and give a deep understanding of some sophisticated techniques for Stock analysing. Stock Prediction is an important component of analyzing stocks. Given the increasing complexities of today’s business environments, more and more hosts are becoming vulnerable to stock prediction and hence it is important to look at systematic, efficient and automated approaches for Stock Prediction. Here we discuss some data mining based approaches for stock analysing and compare their merits and demerits. We also look at some machine learning techniques for detecting polymorphic worms. We also look at various port scanning techniques and discuss some techniques for detecting port scanning attempts. We then discuss the architecture of an advanced stock analysing, Snort and suggest some enhancements to the same .

Project features: Prominent features of the Project: A.Analyzing stock data. We need to provide data of a particular company, and its Monthly Sales / Profit report with Months High and Low points of its Stock. B. Analyzing the factors. We have to obtain the data in the same period for the following factors. 1. Demand and Supply: We will obtain by the previous data entered. 2. Corporate results: Companies declare their performance results and profit at the end of each quarter. 3. Popularity: If any news about a company is about to come and is it bad or good. We have to analyze the variations in the stock value of the companies with respect to these factors using some data mining algorithms.

List of Figures (Flow Chart)

Activities And Progress Of the Project There are two modules in the project. 1.Linear Regression 2.Support Vector Regression

Linear Regression

Support Vector Regression

Status of the Project Both the module covered i.e Linear Regression and Support Vector Regression and the project is almost completed.