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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

Kuala Lumpur: G-3A-02, Suite Pejabat Korporat, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200 Kuala Lumpur, Malaysia
Penang: Jalan Sungai Dua, 11700 Penang, Malaysia.

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Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

Multi Agents System for Algorithmic Trading

Course Code: C1164
  • HRDF

8 Review(s) | Add Your Review

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.

Course Fee

MYR2,200.00

Course Date

Course Time

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.

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

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

Saeid is co-founder of Skymics Sdn Bhd. He has 8 years of experience in the field of IoT (Internet of Things) and Information Technology. He is a certified IBM IoT Practitioner and instructor, and a Certified Citizen Data Scientist Train-The-Trainer. He has been co-inventor of 3 inventions during the last 4 years.

Review

Customer Reviews (8)

Great practical training 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
Solid content and a supportive trainer. I would definitely sign up for more courses here. (Posted on 15/04/2026)
Knowledgeable trainer 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 course content was comprehensive and up to date. The practical exercises were the best part. (Posted on 21/03/2026)
Very useful course 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 trainer was knowledgeable and explained the concepts clearly with real-world examples. (Posted on 25/10/2025)
Very informative 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
Very engaging session. The trainer patiently answered all our questions and gave useful tips. (Posted on 22/08/2025)
Learned a lot 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 course content was comprehensive and up to date. The practical exercises were the best part. (Posted on 03/11/2024)

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