SHEIKH ABUJAR
Lecturer
Department of CSE
Daffodil International University
Md. Ariful Islam Saikat
Md. Almas hossain Tusher
Stock or share market is a system where those entrepreneurs who do need fund business are get those money from small institutions at low costs [1]. In 2010, Bangladesh stock market was considered a great year for investors. Although this record fall in December in the same year. It created so much panic among those people who had put their money in stocks market. There was rarely any investor who losses his money in 2010. Bangladesh stock market fall again in the start of 2011. The bullish trend of market suddenly turned to rugged that is more than expected which ultimately made the market coming down and reduced confidence level which is inimically affected to the trading nature and attitude of retail investors.
Though looking back at the previous year, it feels Bangladesh’s stock market was quite active and the financial sector’s performance is really good and managed to exceed expectations. To stable this situation more flawlessly and to insure more involvement of the people in stock market, we are developing a system which is based on Data Mining. It could forecast future price of a stock. People will be benefited from it and will show interest in investing their money in stock market.
As a developing country, Bangladesh’s share market takes a big place of its economy. So to move the economy much further and to set in a stable position, our share market has to be stable and uprising. For do this, more involvement of people are needed. We are developing a system which can help the people of Bangladesh to engage more with it. We are using Data Mining for the best result of it. So that people will be benefited from it and help to stable the economy of Bangladesh.
As a developing country, Bangladesh’s share market takes a big place of its economy. So to move the economy much further and to set in a stable position, our share market has to be stable and uprising. For do this, more involvement of people are needed. We are developing a system which can help the people of Bangladesh to engage more with it. We are using Data Mining for the best result of it. So that people will be benefited from it and help to stable the economy of Bangladesh.
Platform : Web
Language: HTML, CSS, PHP, JavaScript, Ajax, MySql
Tools: Sublime, Notepad ++, Xampp
In this study, we propose and implemented a system which can predict future stock price of Bangladesh share market. System provide lots of information about share data. Our system can provide reliable information about future stock price of a share. It will earn the reliability of people and will encourage the people to invest more in share market. Their hope will be grown up again for Bangladesh share market.