Algo-trading, Theory and Practice

Short Course

Algo-trading, Theory and Practice

Programme Schedule	Duration (days)	Mode of Delivery	Programme Code
To be advised	3	Synchronous e-Learning	TGS-2020504946

This course is offered biannually, available once every six months.

Course Overview

With the evolution of data and technology, Algo-trading became much more popular and is now used by many financial institutions and retail traders for making trading decisions. Algo-trading has numerous benefits over manual trading, including fast computation and the elimination of human emotions and biases. However, it requires rigorous backtesting to develop and finalise a trading strategy that follows good practices.

This course will provide insights into how more robust algorithm trading models can be developed to generate higher risk-weighted returns.

Course Objectives

This course makes complex financial concepts accessible to participants with no background in finance or technology. Pre-reading materials will be provided before the start of the course to understand the basic python knowledge needed.

At the end of the course, the participants will be able to:

Understand financial markets and the fundamentals of investing and algo-trading.
Able to have more intelligent discussions with a financial advisor and see if their financial health is good
Understand and calculate financial ratios and models
Create their investment strategy and build and track their portfolios
Learn about several available data platforms and how to gather financial data and analyse it
Learn different trading strategies and backtest them through backtesting platforms.

Who Should Attend

Students/Professionals who want to learn about Financial Markets and Algo-trading.

Prerequisites

Interest in Financial Markets
Ability to learn new concepts and programming language (python)

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This programme is part of

Professional Certificate in FinTech Senior Developer (Level 3)

Types of Available Fundings

SkillsFuture Funding

SkillsFuture Credit

Enhanced Training Support

SFEC

UTAP

PSEA

Instructors

Mr Shashank Shekhar Tripathi

Programme Fees

	Singapore Citizens		Singapore PRs	Enhanced Training Support for SMEs	International Participants
	39 years old or younger	40 years old or older	Singapore PRs	Enhanced Training Support for SMEs	International Participants
Full Programme Fee	S$2,850.00	S$2,850.00	S$2,850.00	S$2,850.00	S$2,850.00
Less: SSG Grant Amount	S$1,995.00	S$1,995.00	S$1,995.00	S$1,995.00	-
Nett Programme Fee	S$855.00	S$855.00	S$855.00	S$855.00	S$2,850.00
9% GST on Nett Programme Fee	S$76.95	S$76.95	S$76.95	S$76.95	S$256.50
Total Nett Programme Fee Payable, Including GST	S$931.95	S$931.95	S$931.95	S$931.95	S$3,106.50
Less Additional Funding	-	S$570.00	-	S$570.00	-
Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes	S$931.95	S$361.95	S$931.95	S$361.95	S$3,106.50

Total Nett Programme Fee Payable, including GST, after additional funding from various funding schemes.
Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.
Please note that all external funding for courses is limited in duration and subject to eligibility and availability.

Other Information

This course is eligible for Union Training Assistance Programme (UTAP). NTUC members can enjoy up to 50% funding (capped at $250 per year) under UTAP. NTUC members aged 40 and above can enjoy higher funding support up to $500 per individual each year, capped at 50% of unfunded course fees, for courses attended between 1 July 2020 to 31 December 2025. Please click here for more information.

Mr Shashank Shekhar Tripathi

Advanced Computing for Executives