Institutional Principles of Quantitative Trading
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Tailored solutions and tools for:
- Aspiring Quants
- IT professionals
- Retail traders
- Institutional traders
- High-net-worth individuals
- Institutions & Family Offices
Quantitative trading workshops & courses:
- Python for quants
- Backtesting
- Trading strategy research & development
- Portfolio & Risk management
- Alpha generation & optimization
- Deep Reinforcement Learning for trading
Unlocking institutional-level expertise through:
- Free Training Sessions & AMA’s
- Comprehensive courses (coming soon)
- Specialized workshops (with Algo Advantage)
- Live events
Superior Knowledge is Your Edge
Why help aspiring traders? How can an institutional quant trader working with sizable assets & first class infrastructure help retail traders and quants? What does it actually look like to work as a quant in an institutional context? How do institutions think differently about systematic trading?
These are the questions I do my best to answer on The Algorithmic Advantage podcast where Simon & I get practical about helping struggling traders & aspiring quants. We also talk about the tools needed, working with Python, machine learning, AI and more.
You can watch the interview below and simply reach out on the contact form if you have any questions! If you’d like to participate in workshops, live events and up-coming courses, head on over to Algo Advantage where I’ll be hosting practical educational content and of course, feel free to follow me on Substack for further research and articles.
Tom, AAA Quants CEO
Research
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Education
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Experience Counts
It starts simply
- Python essentials for systematic trading
- Python deep dives for expert back-testing
- Institutional principles you need to know
Advanced methods
- Advanced Python methods for ultra fast back-tests
- Secrets of portfolio & risk management
- What really drives trading success
About Us
A professional quant who enjoys teaching
Dr. Tom Starke has a Ph.D. in Physics from Nottingham University (UK) and currently trades for a leading quantitative trading firm, where he applies his scientific training to build highly diversified portfolios by combining numerous, uncorrelated ‘micro-alpha’ strategies.
He also heads up the consultancy, AAA Quants where he has spent over 15 years collaborating with hedge funds and proprietary trading firms. Dr. Starke has had a remarkable career spanning work at the proprietary trading firm Vivienne Court & leading strategic research projects for Rolls-Royce. He is also the co-founder of a microchip design company.
A tech aficionado, Tom takes a keen interest in new technologies such as AI, machine learning, quantum computing and blockchain. He has been a speaker at numerous prestigious conferences worldwide and is the author of over 20 peer reviewed scientific papers. As an academic, he was a senior research fellow and lecturer at Oxford University.
Tom loves to share his passion for algo trading and can’t help but teach others every chance he gets.
Tom has been an incredible help in my trading journey. I’m forever grateful for having found someone who thinks and works at Tom’s level, who was happy to help the new guy.
Tom really knows his stuff. Trading is much more competitive than people think, so if you are going to master the craft, it’s not going to happen listening to your average YouTube ‘expert’. You want to sit with someone who you truly believe can give you an edge. The amazing part about Tom is that while he’s doing such advanced & technical work on a daily basis, he really has the patience and wisdom to break it all down into very simple lessons, building your knowledge step by step. Tom is one of the extremely few top level practitioners in the industry who are not only willing, but able, to teach. Tom, my heartfelt thanks to you for all your guidance, instruction and insight!
Lacking practical skills in crucial programming and analyzing financial data after my MSc in Finance. I reached out to the Head of Research at a quantitative hedge fund in Singapore where I interned before. They recommended a course of Dr. Tom Starke which turned out to be wonderful and sparked my passion for quantitative finance. After the course I felt confident to conduct my own research.
I participated in a workshop held by Dr. Tom Starke. While I had worked through most of the online tutorials myself it really made a big difference to ask more specific and in depth questions face to face. With a few minor changes suggested by Dr. Tom Starke I managed to create a long-short algorithm that gave > 100% return for the previous 3 years. That really emphasized the benefit of attending the workshop in person as it really made a big difference to me personally.
Sir, Great session on back-testing and I honestly captured a fantastic base to think further on algorithmic trading. Thank you very much for this valuable lesson 🙏
Community & Courses
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Current Course Offerings
Frequently Asked Questions
What skills do I need to start?
You don’t need to be a math genius or expert programmer. We will equip you with the right tools to conduct your own research and develop your own systems. You can follow along the materials based on your individual level of expertise. Still it is beneficial if you already have some programming experience and a basic knowledge of the financial markets. If you don’t have this, the introductoctory materials over at AlgoAdvantage.io are the perfect place to start.
How do I access courses?
Use the links above to navigate to Quant Insti, Quantopian or Algo Academy where our courses are hosted (Algo Academy courses are under construction, but join us over there for workshops in the Algo Collective community).
How long will it take to master the markets?
Your journey to trading sucess depends on several factors, primarily the time you dedicate to research and development. While we can provide you with a clear path to succeed, success ultimately relies on your efforts. Key considerations include your risk tolerance, financial situation, and whether you are trading personal or firm capital. Larger capital provides benefits like lower commissions, better market access, and improved returns through advanced data and technology. Leveraging capital shifts the focus to return per unit of risk rather than total returns. Discipline and diligence are also crucial. While specific profit expectations cannot be guaranteed, optimizing your approach can maximize returns.