Analysis data finance
Technical analysis of financial instrument is reasonably well since several decades. Many models have been created in order to benefit the user in playing the stock market, commodities and etc. The models created are based on different criteria; some of them are intentionally created using programmi...
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2011
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sg-ntu-dr.10356-455392023-07-07T16:01:50Z Analysis data finance Gunawan Hadinata. Lim Meng Hiot School of Electrical and Electronic Engineering DRNTU::Business::Finance DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Technical analysis of financial instrument is reasonably well since several decades. Many models have been created in order to benefit the user in playing the stock market, commodities and etc. The models created are based on different criteria; some of them are intentionally created using programming based, experience based, and observation based. There are always people who benefit from trading, and people who suffer loss in the trading as well. Those who understand the market trend well can win in the market trading. This report is supposed for those who want to start their own investment. It is created based on deep observation in the commodities and tries to understand what the users want. Investors intend to gain as much as profit as they want to have and they want to minimize the loss as little as possible. In this assignment, Author created some model which provides less risk of way in the trading commodities price such as sugar price. There are also some basic technical knowledge used in this report, hence the user do not have to be good in programming or good in math as well. This report is well structured started in providing some data based on the last 2 years data and the current situation of data which gives some proof to the user that how good the model is created. Last but not least this report also gives some suggestion based on the Author experiences in doing trading. Bachelor of Engineering 2011-06-15T03:20:18Z 2011-06-15T03:20:18Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/45539 en Nanyang Technological University 76 p. application/pdf |
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DRNTU::Business::Finance DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Gunawan Hadinata. Analysis data finance |
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Technical analysis of financial instrument is reasonably well since several decades. Many models have been created in order to benefit the user in playing the stock market, commodities and etc. The models created are based on different criteria; some of them are intentionally created using programming based, experience based, and observation based.
There are always people who benefit from trading, and people who suffer loss in the trading as well. Those who understand the market trend well can win in the market trading. This report is supposed for those who want to start their own investment. It is created based on deep observation in the commodities and tries to understand what the users want.
Investors intend to gain as much as profit as they want to have and they want to minimize the loss as little as possible. In this assignment, Author created some model which provides less risk of way in the trading commodities price such as sugar price. There are also some basic technical knowledge used in this report, hence the user do not have to be good in programming or good in math as well.
This report is well structured started in providing some data based on the last 2 years data and the current situation of data which gives some proof to the user that how good the model is created. Last but not least this report also gives some suggestion based on the Author experiences in doing trading. |
author2 |
Lim Meng Hiot |
author_facet |
Lim Meng Hiot Gunawan Hadinata. |
format |
Final Year Project |
author |
Gunawan Hadinata. |
author_sort |
Gunawan Hadinata. |
title |
Analysis data finance |
title_short |
Analysis data finance |
title_full |
Analysis data finance |
title_fullStr |
Analysis data finance |
title_full_unstemmed |
Analysis data finance |
title_sort |
analysis data finance |
publishDate |
2011 |
url |
http://hdl.handle.net/10356/45539 |
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1772826303066537984 |