Stock exchange prediction system (Record no. 13930)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01759nam a22001817a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | AUCL |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200922152945.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 140515t xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | AUI |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Item number | KHA |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Khan, Hamza (091051) ; Salman, Muhammad (091068); Hayee, Aniqa (091105) 2013 |
| 9 (RLIN) | 2086 |
| 245 ## - TITLE STATEMENT | |
| Title | Stock exchange prediction system |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Islamabad. |
| Name of publisher, distributor, etc. | Department of Computer Science ( Air University Main Campus) |
| Date of publication, distribution, etc. | 2013. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 55p. |
| Accompanying material | CD. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | The “Stock Exchange Forecasting and Monitoring System “is a software through which we can make predictions based on the past trends of that company and find out if the upcoming stock prices will rise or fall beforehand . Stock traders and investors are constantly looking for a way to yield significant profit on their investments in the stock market and we intend to make an attempt to make this process more accurate and computationally effortless. This software will provide an efficient and an accurate way for stock traders and investors to buy or sell stocks at a profitable margin. Our software also takes over the man in the middle and eliminates the need for a stockbroker. Through it every person can act as their own stockbroker with a powerful tool by their side. We intend to do this using various techniques which include Moving Averages, Hidden Markov Model’s and Support Vector Machines. The Hidden Markov Model using the old values to predict the new values. The Support Vector Machine enables us to predict the next day’s close value as a set of either high or low. We also intend to use some data visualization techniques through which we can visualize data so that even a layman can understand the results. |
| 526 ## - STUDY PROGRAM INFORMATION NOTE | |
| Program name | BCS |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Student Project |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Air University Central Library Thesis Repository (5th Floor) | Air University Central Library Thesis Repository (5th Floor) | Computer Science | 05/15/2014 | 004 KHA BCS | PR0888 | 01/11/2017 | 01/11/2017 | Student Project |