Intelligence stock market advisor
Also available in printed version
| Auteur principal: | |
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| Autres auteurs: | |
| Format: | Bachelor thesis |
| Langue: | anglais |
| Publié: |
Universiti Teknologi Malaysia
2025
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| Sujets: | |
| Accès en ligne: | https://utmik.utm.my/handle/123456789/47513 |
| Abstract | Abstract here |
| _version_ | 1854975086892679168 |
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| author | Eugene Frazier Ganing Kimpo |
| author2 | Amirjan Nawabjan, supervisor |
| author_facet | Amirjan Nawabjan, supervisor Eugene Frazier Ganing Kimpo |
| author_sort | Eugene Frazier Ganing Kimpo |
| description | Also available in printed version |
| format | Bachelor thesis |
| id | utm-123456789-47513 |
| institution | Universiti Teknologi Malaysia |
| language | English |
| publishDate | 2025 |
| publisher | Universiti Teknologi Malaysia |
| record_format | dspace |
| record_pdf | Abstract |
| spelling | utm-123456789-475132025-08-21T05:16:09Z Intelligence stock market advisor Eugene Frazier Ganing Kimpo Amirjan Nawabjan, supervisor Electrical engineering Also available in printed version Normally, an investor spends a lot of time in researching stock market continuously to search for the best price of a company�s shares to invest on. It is a very daunting task for investors to seek various information on various types of sources. Whether for an experience or a novice investor, decisions also can be affected by various physiological mood such as insiders trading, market sentiment or even economic downturn. Thus, this judgement affect judgement when investing. Not only that, our next concern is also on how do we use to allocated our capital of our portfolio in each after we had invested. When there are multiple companies to invest stimulations, it is increasingly difficult to keep track of the performance and managing the risk of the multiple stock's simultaneously. The proposed system is an automated portfolio asset allocation by utilizing machine learning and big data to efficiently monitor and analyses all Malaysia public listed company. At a specific time, the system will carry out data scrapping from various website to scrap valuable information such as the fundamentals data, and the historical prices of the company. The system pre-processes the raw data by using pre-filtering script to remove any null or unwanted symbols. It is then converted from raw data to prefiltered data. After that, the prefiltered data can be transform into other kinds of data such as MA10, Bollinger Band (BB), Relative Strength Index (RSI) or other technical analysis. After processing, our system analyses the best stock and will automatically allocate asset capital for investing using Modern Portfolio Theory techniques. fahmimoksen UTM 70 p. Project Paper (Sarjana Muda Kejuruteraan (Elektrik � Elektronik)) - Universiti Teknologi Malaysia, 2019 2025-03-12T05:46:50Z 2025-03-12T05:46:50Z 2019 Bachelor thesis https://utmik.utm.my/handle/123456789/47513 vital:128699 valet-20190915-090929 ENG Closed Access UTM Complete Unpublished Completion application/pdf Universiti Teknologi Malaysia |
| spellingShingle | Electrical engineering Eugene Frazier Ganing Kimpo Intelligence stock market advisor |
| thesis_level | Other |
| title | Intelligence stock market advisor |
| title_full | Intelligence stock market advisor |
| title_fullStr | Intelligence stock market advisor |
| title_full_unstemmed | Intelligence stock market advisor |
| title_short | Intelligence stock market advisor |
| title_sort | intelligence stock market advisor |
| topic | Electrical engineering |
| url | https://utmik.utm.my/handle/123456789/47513 |
| work_keys_str_mv | AT eugenefrazierganingkimpo intelligencestockmarketadvisor |