The application monitors the growth of business, real time statistics, stock exchange up and down values, past and current market trends of companies and makes future business predictions as well based on current market trends. Such an application is an ideal for decision making for the businessmen, and the people who are involved in buying and selling in any way. Database Utility: Sql Server Express 2008. Technology: Windows Presentation Foundation Tool: Visual Studio 2010. Language : C# Third party controls: Telerik Controls for WPF

2. Kiran Munir
08-SE-59

3. StockDice
Stock Exchange Monitoring and Forecasting
KIRAN MUNIR
08-SE-59

4. Introduction
Available market tools.
Goals and objectives
Motivation
High level overview
System Architecture
Demo

5. Stock Market – Highly Chaotic
Is Chaos predictable?
Use of logic & History to map Chaos.
Solution – Stock Monitoring Tools!

6.  Software available:
 Trading Calculator.
 Online Trading System.
 Stock Chart.
 Various tools with different results.
 Investors are confused, which tool to rely on?
 A seemingly perfect solution- ‘StockDice’ .

7. To develop a stock monitoring & forecasting tool.
“Constantly beat the market!”

8. Main modules:
1. Data Scraping Agent.
2. Stock Dice Control Center
◦ Monitoring Module.
◦ Forecasting Module.

9. Financial gain.
Need of an up-to-date system.
A proven source of information and
direction.
Research and learning.

10. StockDice

11.  Stream Downloader
 HTML Cleaner
 Data Aggregator.
 Data Splitter.

12. Data Scrapping Agent

13. Functions:
 Sends the request to the webserver
 Gets the response from KSE Server
 Reads the response.

14. Functions:
Cleans the HTML.
Removes the unnecessary tags
Loads into XmlDocument.

15. Functions:
Conversion to pipe separated and comma separated
values.

16. Functions:
Splits the records.
Stock values fed into the StockDice database.

18. Analyzing data to convert it to
information.
Data- facts, numbers, or text.
Information- patterns applied to data.
Knowledge- Historical trends applied to
information.

19. Load transaction data to local database.
Manage the data.
Provide data access to IT professionals.
Analyze data by application software.
Present the data in a useful format.

21. Investment psychologies.
◦ Fundamental Approach
examine the company's "fundamentals".
They attempt to find an undervalued stock.
◦ Technical Approach
closely examine charts of the stock's past performance
look for trends that likely be repeated in the near
future.

22. X't = WtXt+Wt-1Xt-1+ ... + Wt-k-1Xt-k-1
Xt: Value of stock at a given instant of time
Wt: Weight applied to the value
Average is an equally weighted sum of the
previous k historical samples

23. The future is the realm of surprises.
Uncertainty is coherent.
Technical analysis is reactive- not truly predictive