Algorithmic Trading Fundamentals with Python

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

Basic knowledge of Python is assumed. Also, some affinity, or at least interest, in mathematics and statistics is good although not necessary. For basic python training, we recommend Basic Python Training Course and Python Essential Training.

• Data Scientists
• Financial Analyst
• Algorithmic Traders

Nero: Nero is dean of Penang School of AI, which is AI learning and sharing community in Northern Malaysia. He is Msc in Computer Imaging in Universiti Sains Malaysia. His research is mainly focusing in Video Analytic and Multiple object tracking. At the same time, he is developing computer vision application in WyseTime, a tech-startup company focus on video analytic application using deep learning technology.

Lee Cheong Loong: Lee Cheong Loong, Manager with 23 years working experience in multiple role and department, He completed HRD Corp Train the Trainer programme, HRD Corp Accredited Trainer, Microsoft Certified Trainer and CPFA Citizen Data scientist Trainer programme. with Professional certificate in Big Data & Analytics, Microsoft Office Specialist -Excel 2016 and Tableau Desktop Specialist. He also deliver training for R & Python programming, Excel Dashboard for Business analysis, Data Visualization with Tableau, and Microsoft PowerBI, and Citizen Data Scientist (OpenCertHub).