This project is a part of CSC344 Decision Support System.
- To start investing in the stock exchange, the investor must have knowledge about the economy, trend, and risk. Beginner investor doesn’t know how to buy a good index and always lose their balance. It’s hard to keep tracking of the indexes as the stock exchange can vary a lot in one day.
- The objective is to reduce the mistakes of investor that doesn’t have enough knowledge, by using predict stock price system at the close time using previous data and giving a suggestion which stock should be invested.
- The expected outcomes from the system are to reduce the risk of buying stock and suggest which stock should be invested.
- The target users are the beginner-expert stock investor and people who interested in Stock (learning purpose)
- The system will use Thai stock dataset from 3 year past.
- The system is supported for Thai stock bank sector only.
- The result from the system is just a prediction based on past data. It can be wrong.
- The user can use it and can make a better decision on buying stock.
- Get all new data from arima model
- Change condition of check gain loss
- Highlight predicted part
- Show profit gain and loss in next 30 days