Discover how to automate your futures trading strategies using LLMs and AI
Chief Data Scientist and
Head of AI & Quantitative Researchole Königstein
Head of AI & Quantitative Researchole Königstein
Industry exclusive course
Guided by Nicole Königstein, a renowned professor and expert in AI research
Nicole Königstein
Just a few reasons why this course is awesome:
Your guide is Nicole Koenigstein, an AI expert who knows all about trading and making smart strategies. She's here to make it easy to understand and fun to learn!
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Learn from the best
This course is all about hands-on learning! You’ll work on real tasks, play around with tools like Jupyter notebooks, and actually use what you learn right away.
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Learn by doing
Check out the first lectures for free! Get a taste of the tools and tricks you'll master during the course.
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Try it for free
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This course skips the boring theory and focuses on hands-on skills to help you use AI tools for trading. Be the trader who’s ahead of the game and shaping the future of finance!
Master the skills of tomorrow's trading
AI is transforming the trading world, especially with tools like Large Language Models (LLMs) that are revolutionizing algorithmic trading.
Here’s why LLMs are critical for the future of trading
Do not just take our word for it
The integration of AI and NLP models, including LLMs, has been shown to improve trading performance by up to 15%. This is due to more accurate analysis of market sentiment and real-time decision-making.
AI tools can analyze earnings reports, news articles, and financial documents at a speed and accuracy unmatched by traditional methods, reducing research time by up to 50%.
Course developer and mentor
Nicole brings years of expertise in AI-driven trading, quantitative finance, and data science to this course. Her hands-on approach will ensure you not only understand LLMs but can also apply them effectively in real trading environments.
Nicole Königstein
Chief AI Officer & Head of Quantitative Research at Quantmate
This course is focused on practical knowledge that you can start applying immediately to your trading strategies. We cover nothing extra — only the essentials you need to succeed.
Here’s what you’ll learn
Curriculum:
- Role of LLMs in AI-driven trading
- Looking ahead: the future of LLMs in trading
- Introduction to large language models (LLMs)
- Theoretical foundations of LLMs
- Research and frameworks
- Practical applications in trading
- Developing data-driven solutions
- Hands-on understanding of LLM integratio
- Actionable workflows for LLM implementation
- Strategies for automating complex processes
- Streamlining tasks with LLMs
- Enhancing decision-making with LLM agents
- Boosting efficiency in real-world settings
- Tokenization and embeddings
- Application of LLMs to financial markets and algorithmic trading
- Overview of transformer architecture and attention mechanisms
- Benefits of quantization in LLMs
- Prompt engineering techniques: such as zero-shot, few-shot, chain-of-thought, tree of thought
- What is fine-tuning?
- Parameter-efficient fine-tuning (PEFT) and low-rank adaptation methods
- What is quantization?
- What is sharding?
- How sharding optimizes LLM performance
- Introduction to retrieval-augmented generation
- Using RAG for financial report summarization and real-time market updates
- Advanced techniques: Corrective RAG and Graph-based RAG for more accurate information
- Summarizing financial reports and extracting actionable insights
- Identifying companies with LLM
- LLMs for sentiment analysis of news and financial reports
- Identifying market sentiment shifts to inform trading decisions
- Incorporating sentiment data into algorithmic trading models
- Name-entity recognition
- Financial relation construction
- Intro to agents
- One-step, multi-step and other agent architectures
- Designing and implementing an algorithmic trading bot using LLM agents
- Multi-agent systems for real-time decision-making
- Tools for maintaining AI transparency and explainability
- Managing biases in LLMs
By the end of this course, you’ll know how to:
Create and improve bots that adapt and trade in real-time.
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Build smart trading bots
Use AI tools to do research and analysis faster and smarter.
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Save time with AI
Learn how to use data and insights to make better trading decisions.
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Trade more accurately
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Earn an official certificate
Earn a verified certificate upon course completion to showcase your expertise, boost your LinkedIn profile, and unlock career opportunities in trading and fintech.
Special giveaway: win Nicole's book!
Attend the seminar for a chance to win 1 of 5 free copies of Nicole's book, "Transformers in Action", exclusively raffled among participants. Don't miss out!
2023 Quant Books Of The Year
📅 Time: 6 PM CET / 12 PM EST
Claim your free seat
Registration open: free seminar with Nicole
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