Certificate in Finance ML Algorithmic Trading Strategies
-- viewing nowThe Certificate in Finance ML Algorithmic Trading Strategies is a comprehensive course that equips learners with essential skills in machine learning and algorithmic trading. This program is crucial in today's financial industry, where machine learning and AI are revolutionizing trading strategies and decision-making processes.
3,269+
Students enrolled
GBP £ 140
GBP £ 202
Save 44% with our special offer
About this course
100% online
Learn from anywhere
Shareable certificate
Add to your LinkedIn profile
2 months to complete
at 2-3 hours a week
Start anytime
No waiting period
Course Details
• Unit 1: Introduction to Finance and Machine Learning – This unit will cover the basics of finance and machine learning, setting the stage for the rest of the course. Topics include financial markets, instruments, and data analysis, as well as an overview of machine learning algorithms and techniques. • Unit 2: Data Preprocessing for Financial Time Series – This unit will focus on preparing financial time series data for machine learning models. Topics include data cleaning, normalization, and feature engineering. • Unit 3: Supervised Learning for Algorithmic Trading – This unit will cover supervised learning techniques for algorithmic trading, including regression, classification, and support vector machines. • Unit 4: Unsupervised Learning for Algorithmic Trading – This unit will explore unsupervised learning techniques for algorithmic trading, such as clustering and dimensionality reduction. • Unit 5: Reinforcement Learning for Algorithmic Trading – This unit will delve into reinforcement learning techniques for algorithmic trading, including Q-learning and policy gradients. • Unit 6: Deep Learning for Algorithmic Trading – This unit will introduce deep learning techniques for algorithmic trading, including neural networks and convolutional neural networks. • Unit 7: Portfolio Management and Risk Analysis – This unit will cover portfolio management and risk analysis techniques for algorithmic trading, including modern portfolio theory and value at risk. • Unit 8: Backtesting and Evaluation of Trading Strategies – This unit will explore backtesting and evaluation techniques for algorithmic trading strategies, including statistical significance testing and walk-forward optimization. • Unit 9: High-Frequency Trading and Co-location – This unit will cover high-frequency trading and co-location, including the technical and regulatory aspects of these practices. • Unit 10: Ethics and Regulations in Algorithmic Trading – This unit will discuss the ethical and regulatory considerations of algorithmic trading, including market manipulation, insider trading, and regulatory compliance.
Career Path
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
Why people choose us for their career
Loading reviews...
Frequently Asked Questions
Course fee
- 3-4 hours per week
- Early certificate delivery
- Open enrollment - start anytime
- 2-3 hours per week
- Regular certificate delivery
- Open enrollment - start anytime
- Full course access
- Digital certificate
- Course materials
Get course information
Earn a career certificate
