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Stock is one of investment instrument that most people used it. The high interest in stocks investing brings its own challenges. Investors should be more careful in conducting of shares transactions in order to gain huge profits and bear less risk. Because of that, we need some way to know the stock...
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| Online Access: | https://digilib.itb.ac.id/gdl/view/23557 |
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| Institution: | Institut Teknologi Bandung |
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id-itb.:235572017-12-29T10:53:47Z#TITLE_ALTERNATIVE# ADHI NUGROHO (NIM : 10210017), NUR Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/23557 Stock is one of investment instrument that most people used it. The high interest in stocks investing brings its own challenges. Investors should be more careful in conducting of shares transactions in order to gain huge profits and bear less risk. Because of that, we need some way to know the stock market condition in the future. In this research, SVR methods will give result for forecasting stock market. The data used is the closing price of shares of nine companies from different industry sectors. Preprocessing will be carried out before used as learning materials of SVR. After preprocessing, data are divided into two types that is data training and data testing. There are will be two result, forecasting for data training and forecasting for data testing. The performance of SVR by NRMSE is 0.02 – 0.15 for daily and 0.07 – 1.14 for weekly. And the performance of SVR by MAPE is 0.62% - 8.05% for daily. text |
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Indonesia Indonesia |
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Indonesia |
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Stock is one of investment instrument that most people used it. The high interest in stocks investing brings its own challenges. Investors should be more careful in conducting of shares transactions in order to gain huge profits and bear less risk. Because of that, we need some way to know the stock market condition in the future. In this research, SVR methods will give result for forecasting stock market. The data used is the closing price of shares of nine companies from different industry sectors. Preprocessing will be carried out before used as learning materials of SVR. After preprocessing, data are divided into two types that is data training and data testing. There are will be two result, forecasting for data training and forecasting for data testing. The performance of SVR by NRMSE is 0.02 – 0.15 for daily and 0.07 – 1.14 for weekly. And the performance of SVR by MAPE is 0.62% - 8.05% for daily. |
| format |
Final Project |
| author |
ADHI NUGROHO (NIM : 10210017), NUR |
| spellingShingle |
ADHI NUGROHO (NIM : 10210017), NUR #TITLE_ALTERNATIVE# |
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ADHI NUGROHO (NIM : 10210017), NUR |
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ADHI NUGROHO (NIM : 10210017), NUR |
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#TITLE_ALTERNATIVE# |
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#TITLE_ALTERNATIVE# |
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#TITLE_ALTERNATIVE# |
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| url |
https://digilib.itb.ac.id/gdl/view/23557 |
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1821121107843874816 |