Develop a trading strategy for stocks listed in Singapore market specifically stocks under technology sector
The report " Develop a trading strategy for stocks listed in Singapore market specifically stocks under technology sector." focuses on developing an effective trading strategy for stocks in the technology sector of Singapore's stock market. The report integrates three key approaches -...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project |
| Language: | English |
| Published: |
Nanyang Technological University
2023
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/167584 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | The report " Develop a trading strategy for stocks listed in Singapore market specifically stocks under technology sector." focuses on developing an effective trading strategy for stocks in the technology sector of Singapore's stock market. The report integrates three key approaches - Fundamental Analysis (FA), Technical Analysis (TA), and News Analysis - to create a comprehensive and robust trading strategy.
The report begins by providing an overview of the Singapore tech sector, its current state, and trends. It then delves into the details of each approach, including a thorough explanation of FA techniques such as financial statement analysis, valuation methods, and industry analysis. TA techniques such as chart patterns, technical indicators, and trend analysis are also discussed in depth. Additionally, the report highlights the importance of incorporating news analysis into the trading strategy, including the impact of market news, earnings reports, and geopolitical events on stock prices.
Next, the report outlines the methodology used in developing the trading strategy, including data collection, data analysis, and strategy implementation. Various tools and techniques utilized in the process, such as statistical analysis, machine learning algorithms, and back testing, are described in detail.
The findings and results of the developed trading strategy are then presented, including performance metrics such as profitability, risk management, and portfolio diversification. The report also discusses the limitations and potential areas of improvement for the strategy.
In conclusion, the report provides key insights into the development of an effective trading strategy for stocks in Singapore's tech sector, utilizing a combination of FA, TA, and News Analysis. The report's findings contribute to the existing literature on trading strategies and provide practical implications for traders and investors interested in the Singapore tech sector. |
|---|