Date: 11 May, 18 May 2023 | 9am-5.30pm | Online
Duration: 2 Days
Generating wealth is one of the key priorities that every individual wants to accomplish. However, only a few have sufficient knowledge to build it successfully. It is essential to protect one’s wealth, especially in uncertain times like today. This course provides the participants with ample knowledge in the field of investing and takes through the best principles to follow to protect and generate wealth sustainably. The course runs through new platforms and technologies to enhance financial decision-making. Participants will learn the best practices in wealth management, leveraging data and technology to plan their finances and live the life they dream of. The course is designed to cover the fundamentals of investing and hands-on practice for real-life investing. This course provides information on how to be prepared for unfortunate events in life. This is for busy people who want to leverage technology in investing to provide for their families, make their money work more effectively, and plan for the good times and the bad times.
This module is part of Professional Certificate in Business Analytics and AI for Finance, Retail and Supply Chain.
This course makes complex financial concepts accessible to participants with no background in finance or technology. At the end of the course, participants will be able to understand financial markets and the fundamentals of investing. They will have more intelligent discussions with a financial advisor and a checklist to see if their financial health is good. They will be able to understand and calculate financial ratios and models. They will be able to create their investment strategy and build and track their portfolios. They will learn about several available data platforms and how to gather financial data and analyze it. They will also learn different investing strategies and test them through paper trading systems.
- Introduction to Financial Markets
- Importance of wealth management
- Risk Tolerance and Risk Compatibility
- Power of Compounding
- Investment Pyramid and Portfolio development
- Trading Concepts and Investing Framework (IDMR)
- APIs and data platforms
- Hands-on Paper Trading
- Financial Statistics and Risk Ratios (BASS)
- Behavioral Biases in investing and Drawbacks of Manual Trading
- Introduction to Algotrading
- Trading Simulation Game
Who Should Attend
This course is for busy people, who want to leverage technology to provide for their families, make their money work more effectively and plan for the good times and the bad times.
(Click their photos to view their short biographies)
Mr Shashank Shekhar Tripathi
Mr Shashank Shekhar Tripathi
Mr Shashank Shekhar Tripathi is an Instructor at the Department of Information Systems and Analytics (DISA) at the School of computing, National University of Singapore. He teaches “Application development for business analytics” and “Systematic trading” to the undergraduate students. He holds the designation Chartered Market Technician (CMT)and Certified Financial Technician(CFTe) . Prior to this, Shashank worked as a Senior Software Engineer at the NUS Fintech Lab where he worked on developing applications related to financial technology. He has a vast experience in oil and gas industry in the domain of corporate finance, financial evaluations, and simulations. He has a huge interest in financial markets, blockchain technology and data analytics. He researches extensively to design, develop and test strategies for algo trading utilizing machine learning, fundamental analysis, and technical analysis. He is an experienced trainer and consultant of data visualization, robotic process automation, and algo trading.
Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes
Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.
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TGS-2020504949 (Synchronous e-learning)
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Course Fee Breakdown
Singapore Citizens39 years old or younger
Singapore Citizen40 years old or older