Algo-trading, Theory and Practice [e-Learning]
14 Nov, 16 Nov, 21 Nov 2022 | 9am-5pm | Online
9 Dec, 16 Dec, 23 Dec 2022 | 9am-5pm | Online
Duration: 3 Days
Building wealth is one of the key priorities that every individual wants to accomplish. However, only a few have sufficient knowledge to successfully build it. It is essential to protect one’s wealth especially in uncertain times like today where the stock markets have experienced a huge drop due to recent uncertain times.
This course provides the participants with ample knowledge in the field of investing and what principles to follow in order to protect and generate wealth sustainably. Participants will learn the best practices in Algo trading and Wealth management.
With the evolution of technology, Algotrading became much more popular and is now used by many financial institutions and retail traders for making trading decisions. Algotrading has numerous benefits over manual trading including the elimination of human emotions and fast computation. However, it requires rigorous backtesting to develop a strategy that follows good practices and is not overfitted.
This course will provide an insight into how more robust algorithm trading models can be developed to generate higher risk-weighted returns.
The module is part of NUS FinTech SG Programme.
- Trading Concepts
- Financial Markets
- Exchange Terminology
- Orders and Orders Matching
- Introduction to Technical Analysis / Fundamental Analysis/ Machine Learning
- Steps for Investing / Trading (IDMR)
- APIs and Platforms ( investing.com, yahoo finance, google finance, Tradingview)
- Drawbacks of Manual Trading
- Quick Introduction
- Python (Libraries: NumPy, pandas)
- Atom / Jupyter Notebook /IDLE
- Fundamentals of Developing Strategies
- BASS (Beta, Alpha, Std dev, Sharpe)
- Risk Reward Ratios
- Moving Average (MA) Example
- Developing MA Strategy (Hands-On)
- Diversification and Risk Management in Algotrading
- Other Ratios – Sortino and More.
- Volatility Target
- Indicators as Variables
- Portfolio weightage
- Designing a diversified Portfolio
Who Should Attend
Students/Professionals who want to learn about Financial Markets and Algotrading
1. Interest in Financial Markets
2. Ability to learn new concepts and programming language (python)
(Click their photos to view their short biographies)
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 Course 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.
To enquire, email email@example.com
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