Algorithmic and quantitative trading: fundamental principles workshop
View AgendaKey reasons to attend
- Generate ideas, develop strategies and identify opportunities
- Learn about the existing key components in a trading platform
- Gain a basic overview of the Python programming language
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About the course
Gain a robust understanding of the diverse components, strategies and challenges of algorithmic and quantitative trading.
This highly informative learning event will provide participants with the best practices for building a trend-following strategy and for aligning the foundations of Python with quantitative trading strategies. Participants will explore the efficient ways that risk management frameworks, such as automated compliance, are being implemented in algorithmic and quantitative trading processes.
Key sessions will delve into the principles of algorithmic trading strategies, such as statistical arbitrage, market timing strategies and a case study on high-frequency trading. Practical examples will offer insight into the day-to-day of algorithmic and quantitative traders’ responsibilities.
Avoid the price increase - book by December 31, 2024
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Pricing options*:
- Early-bird rate: save up to $800 per person by booking in advance
- 3-for-2 rate: save over $3,000 by booking a group of three attendees
- Subscriber reward: save 30% off the standard rate if you are a Risk.net subscriber
- Season tickets: save up to 60% - request price breakdown
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Learning objectives
- Evaluate the effectiveness of strategies with backtesting processes
- Navigate the diverse quantitative models and methods
- Develop trend-following, execution and market timing strategies
- Integrate machine learning models into algorithmic trading practices
- Analyse technical indicators used in quantitative trading
- Align compliance with algorithmic and quantitative trading
Who should attend
Relevant departments may include but are not limited to:
- Trading
- Risk management
- Machine learning
- Model risk
- Artificial intelligence
- Compliance
- Regulation
- Technology
Agenda
August 6, 2025
In-person. Location: Sydney, Australia
Sessions:
- Algorithmic trading
- Deep diving into algorithmic trading
- Risk management frameworks for algorithmic and quantitative trading
- Quantitative models and methods
- Quantitative trading
- Deep diving into quantitative trading
- Mapping it all together
Pre-reading materials
The Risk.net resources below have been selected to enhance your learning experience:
- AI expert warns of algo-based market manipulation
Read article | Risk.net - How AI can give banks an edge in bond trading
Read article | Risk.net - Slicing algos blamed for market impact on dark venues
Read article | Risk.net
A Risk.net subscription will provide you access to these articles. Alternatively, register for free to read two news articles a month.
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