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Multi Agents System for Algorithmic Trading

Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Beginner to Intermediate
  • Assessment NA

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

Course Brochure

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Certification

  • Certificate of Achievement from Tertiary Infotech Academy Pte Ltd - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Achievement from Tertiary Infotech Academy Pte Ltd.

Multi AI Agents System for Algorithmic Trading

Course Code: C1164

3 Review(s) | Add Your Review

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What's This Course About

Algorithmic trading is entering the agentic AI era. Instead of a single model predicting prices, a multi agents system deploys a team of specialised AI agents—a market research agent, a technical analysis agent, a strategy agent, a risk manager and a trade executor—that collaborate, debate and cross-check each other before any trading decision is made. In this hands-on 2-day course, you will learn how to design and build such agent teams using leading multi-agent frameworks.

Through guided exercises, you will build agents that pull live market data, analyse technical indicators and news sentiment, generate and backtest trading strategies, and execute simulated trades under explicit risk-management guardrails. By the end of the course, you will have a working multi-agent trading crew and a practical blueprint for applying agentic AI to your own investment and trading workflows.

Funding Options

No funding is available for this course

For WSQ funding, please checkout the details at WSQ - Develop Multi-Agent AI Applications with AutoGen

Course Fee

$700.00 (GST-exclusive)
$763.00 (GST-inclusive)

Course Date

Course Time

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Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Cancellation & Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
  • Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Course Details

What You'll Learn

Topic 1 Overview of Multi Agents Systems for Trading

From Machine Learning to Agentic AI in Trading

What Is a Multi Agents System

LLM Agents, Tools and Function Calling

Multi-Agent Frameworks: AutoGen, CrewAI and LangGraph

Architecture of a Trading Agent Team

Setting Up the Development Environment and Market Data APIs

Topic 2 Market Research and Analysis Agents

Building a Market Data Agent for Prices and Fundamentals

Technical Analysis Agent with Indicators and Chart Patterns

News and Sentiment Analysis Agent

Agent Collaboration: Debate, Critique and Consensus

Producing an AI-Generated Research Report

Topic 3 Strategy and Backtesting Agents

Strategy Agent: Generating Trading Rules and Signals

Backtesting Agent with Historical Market Data

Evaluating Strategies: Returns, Drawdown and Sharpe Ratio

Iterating Strategies with Agent Feedback Loops

Avoiding Overfitting and Lookahead Bias

Topic 4 Trade Execution and Risk Management Agents

Risk Manager Agent: Position Sizing, Stop Loss and Exposure Limits

Trade Execution Agent with Paper Trading

Orchestrating the Full Multi-Agent Trading Workflow

Monitoring, Logging and Human-in-the-Loop Controls

Responsible and Compliant Use of AI in Trading

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

  • Minimum of 1 year of working experience.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

Hardware: Window or Mac Laptops

Job Roles

Job Roles

  • Traders
  • Algorithmic Traders

Trainers

Trainers

Dr Alvin Ang is a ACTA certified trainer. Alvin Ang did his Ph.D., Masters and Bachelors from NTU, Singapore. Previously he was a Principal Consultant (Data Science) as well as an Assistant Professor. He was also 8 years SUSS adjunct lecturer. His focus and interest is in the area of real world data science. Though an operational researcher by study, his passion for practical applications outweigh his academic background. He owns a startup externally

Dr. Alfred Ang is the founder of Tertiary Courses. He is a serial entrepreneur. He founded OSWeb2Design Singapore Pte Ltd in 2007 offering web development, e-commerce store development, graphics design, ebook publishing, mobile apps development, and digital marketing services. He established the first online gardening store in Singapore, Eco City Hydroponics Pte Ltd in 2000, offering a wide range of gardening products such as seeds, plant nutrients, hydroponics kits etc. Eco City Hydroponics has become the most popular and successful gardening store in Singapore. He founded Tertiary Infotech Pte Ltd in 2012 and transformed the business to a training platform, Tertiary Courses in 2014. Tertiary Courses offers a wide range of SkillsFuture courses for PMETs to upgrade their skills and knowledge. He also established Tertiary Courses Malaysia in 2016. He also founded Tertiary Robotics in 2015 offering Arduino, Raspberry Pi, Microbit and Robotics products
Dr. Alfred Ang earned his Ph.D. from National University of Singapore in 2000, majoring in Electrical and Electronics Engineering. He also completed an online MBA course with U21 Global based in Australia. He obtained his B.Sc (Hons) from National University of Singapore in 1992, majoring in Physics. He topped his Physics cohort for 3 consecutive years and funded his degree study with Book price, awards and tuition. He has worked in Defence, Electronics and Semiconductor Industries. His current interests include Machine Learning, Deep Learning, Artificial Intelligence, Internet of Things, Robotics and Programming.
Dr. Alfred Ang is IBM certified instructor for AI Practitioners course. He is a ACTA certified trainer and DACE certified curriculum developer. He was Distinguished Toastmasters (DTM) and Senior Member of IEEE. He has published more than 20 peer reviewed papers and co-inventors for more than 20 inventions.
 

Review

Customer Reviews (3)

will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 4/30/2025)
Working with Alvin has been an invaluable experience. Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Working with Alvin has been an invaluable experience. Their dedication, expertise, and passion for their craft are truly inspiring. Alvin goes above and beyond to ensure that each session is not only informative but also engaging and enjoyable. Their ability to tailor training programs to meet individual needs and learning styles is commendable.

What sets Alvin apart is their genuine commitment to the success and development of their trainees. They foster an environment of collaboration and growth, encouraging questions and discussions, which enhances the learning experience for everyone involved.

Moreover, Alvin possesses exceptional communication skills, making complex topics easy to understand and apply. Their patience, encouragement, and constructive feedback empower trainees to reach their full potential.

I am grateful for the opportunity to learn from Alvin, and I wholeheartedly recommend them to anyone seeking a knowledgeable, supportive, and motivating trainer. (Posted on 3/17/2024)
The Machine Learning AI for Trading training led by Alvin Ang was an absolute game-changer! Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The Machine Learning AI for Trading training led by Alvin Ang was an absolute game-changer! With a knack for simplifying complex concepts. His enthusiasm and expertise shone through as they guided us through the basics with patience and clarity. I especially appreciated how he went the extra mile, providing helpful resources and support even after the sessions. If you're looking to dive into the world of trading with the power of AI, I can't recommend Alvin Ang enough. (Posted on 3/17/2024)

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