Idea Details

Team and Contact Details

SNo Student Name School Degree Year Email
1Hamza JamshaidSEECSUndergraduateFourth14bscshjamshaid@seecs.edu.pk
1Majid Ali KhanSEECSUndergraduateFourth14bscsakhan@seecs.edu.pk
1Affan MuddassirSEECSUndergraduateFifth13bscsamuddassir@seecs.edu.pk

Inter School Idea ? No
Do you need expertises from another area: No
If Yes please provide details of expertises you need:

Idea Details

Idea Name: StockMarket Predictor
Slogan: Predict Stocks To Invest Intelligently
Supervisor Name: Dr. Omar Arif
Supervisor Designation: Assistant Professor
Supervisor School: SEECS
Supervisor Department: DoC
Contact number: 03475174193
Email ID: omar.arif@seecs.edu.pk
Abstract:
    Our project aims to accurately analyze and predict the KSE-100 Index(for now) stocks/share prices for enlightening common investors to invest intelligently and profitably.
What is the unmet need in society that your idea will fulfill ?
    The number of common investors in Pakistan has risen commendably due to the increased economic growth and strengthening of the country's stock market in the last decade. There must be some kind of tool that enlightens and predicts future stock prices so that more people show interest in investment.
Who needs it ? How many would benefit ?
   The tool is exclusively for the stocks-savvy, common investors and people who own size-able wealth but are short of avenues to invest in. The tool will potentially create an interest in people to invest in the stock market, thus strengthening it and benefiting the country as a whole.
How will the solution works
    The idea is a pure BigData Analytics based project. It's a web portal which people can visit to keep an eye on our predictor as well as on latest commodity prices(gold, oil etc.), discussion forum where investors can communicate with one another etc. The project's back-end will be supplied with appropriate data through web-scrapping such as stocks affecting news, stock market facts and figures etc. where a combination of Apache Spark, Hadoop, MySQL, MachineLearn will process and produce results.
Who are your competitors ? How is your solution different
    We currently have no competitors. Our project is something unique on which no one in Pakistan has worked on yet. While work on stock market prediction is taking place in the world, nothing like this has occurred for the Pakistani Stock Market therefore giving our project uniqueness.
Status: Approved
Entry Date & Time: 2017-12-15 (1916)