Machine Learning 101 for Financial Trading
About This Course
Unlock the potential of machine learning in the financial trading sector with our IBF-STS Machine Learning 101 for Financial Trading course. Designed for both traders and finance professionals, this course demystifies the complex world of machine learning, teaching you how to analyze market data, develop predictive algorithms, and create automated trading strategies. You'll gain the knowledge and tools to identify profitable trading opportunities, manage risk, and maximize returns, making you an invaluable asset in today's fast-paced trading environment.
Master the application of machine learning algorithms for effective trading decisions. This course dives deep into key machine learning techniques such as regression analysis, clustering, and classification, giving you the skill set to construct, backtest, and deploy trading models. With hands-on exercises and real-world trading data, you'll be able to apply your newly-acquired skills instantly, boosting both your portfolio's performance and your market reputation.
What You'll Learn
- Develop and analyse machine learning algorithms of financial data to derive patterns and trends
- Perform coding and testing of machine learning algorithms
Course Outline:
Topic 1 Overview of Machine Learning Methodology
- Introduction to Machine Learning
- Machine Learning vs Deep Learning
- Supervised vs Unsupervised Learning
- Machine Learning Implementation Steps
- Target and Features
- Model Training and Prediction
- Metrics to Evaluate Machine Learning Models
Topic 2 Supervised Learning Models and Applications
- The Linear Regression Model
- Logistics Regression Model
- Naïve Bayes Model
- Decision Tree Model
- Random Forest Model
- XGBoost Model
- Neural Network Model
Topic 3 Unsupervised Learning Models and Applications
- K-Means Clustering Model
- Hierarchical Clustering Model
- Principal Component Analysis
Entry Requirements
- Able to operate using computer functions
- Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5
- Minimum of 1 year of working experience.