Course Information

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

Venue

Download Course Brochure

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.

AI Vibe Coding for Algorithmic Trading

Course Code: C728
AI Vibe Coding Series

What's This Course About

Embark on a journey into the dynamic world of Algorithmic Trading with our comprehensive course, Algorithmic Trading Fundamentals with Python, exclusively at Tertiary Courses. Designed for financial enthusiasts and professionals alike, this course delves deep into the realm of automated trading, leveraging the powerful capabilities of Python to deliver hands-on knowledge on crafting effective trading strategies. From understanding the intricacies of backtesting to the nuanced use of Bollinger Bands and RSI, participants are set to gain a competitive edge in the evolving landscape of modern trading.

Our seasoned instructors will guide attendees through the processes of optimizing the Cross Over Moving Average Strategy, implementing advanced strategies using tools like Mean Reversion, and familiarizing with renowned Algorithm Trading Platforms. One of the standout modules is the creation of an automated trading bot, ensuring participants can practically apply their newfound knowledge. By the culmination of the course, you'll be well-equipped to navigate the financial markets using Python-powered algorithmic strategies, ensuring optimal returns and minimal risks.

WSQ Funding

Full Fee ₵3,000.00 Before GST
GST ₵270.00 9% of fee
Baseline Nett ₵1,770.00 SG/PR age 21+ · 50% funded
MCES / SME Nett ₵1,170.00 SG age 40+ · 70% funded

Course Fee

₵3,000.00

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.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to info@tertiarycourses.com.gh 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 Algorithmic Trading

Introduction to Algorithmic Trading

Overview of Technical Indicators

Backtesting Algorithmic Trading Strategies

Evaluate Algorithmic Trading Strategies

Topic 2 Algorithmic Trading Strategies

Simple Moving Average Long Only Strategy

Moving Average Crossover Momentum Strategy

Bollinger Bands Mean Reversion Strategy

Object Oriented Approach to Backtesting

Optimisation of Moving Average Crossover Strategy

Topic 3. Setup a Automated Trading Bot

Trading Platforms

Sign up a Paper Trading Account

Create a Automated Trading Bot with API

Course Info

Prerequisite

This is an intermediate level course. The following prerequisite is assumed

  • Basic Python
  • Basic Finance

Software Requirement

Please download and install the following software prior to the class

Job Roles

Job Roles

  • Data Scientists
  • Financial Analyst
  • Algorithmic Traders

Trainers

Trainers

is an accomplished IT and data specialist with over 20 years of experience in academia, ICT leadership, and professional training, with a strong focus on data analytics and Excel-based solutions. He has developed and delivered specialized training programs on Statistical Data Analysis with Excel and Visual Basic for Applications (VBA) for Excel, equipping learners with advanced data manipulation, automation, and reporting skills. His expertise extends to automating institutional reporting systems, where he successfully streamlined academic records management through Excel-based tools, integrating macros and automation to improve efficiency and accuracy. As a trainer and consultant, Dr. Siraj has taught Excel to diverse audiences, including university staff, administrative teams, and professionals in banking, security, and education, ensuring they can apply Excel for decision-making, statistical modeling, and process automation. His practical mastery of Excel is complemented by his deep knowledge of office automation and ICT project management, making him a highly sought-after trainer in data analysis and productivity tools. With his blend of hands-on technical expertise and instructional experience, Dr. Siraj stands out as a credible authority in leveraging Excel to drive organizational efficiency and data-driven strategies

Review

Customer Reviews (6)

Superb training Review by Course Participant/Trainee
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I found the course extremely useful and relevant to my job. Highly recommend it to others. (Posted on 5/17/2026)
Excellent 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 is an expert in the subject and shared many practical insights from real projects. (Posted on 5/1/2026)
Knowledgeable trainer Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
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3. How do you find the training environment
Good hands-on training with plenty of examples. I feel much more confident applying these skills now. (Posted on 3/20/2026)
Clear and easy to follow 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 10/2/2025)
Highly recommended 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 9/26/2024)

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