The Algorithmic Advantage The Algorithmic Advantage
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- Economía y empresa
The Algorithmic Advantage is a podcast about quantitative trading and investing. We're here to expand the toolkit of the quant-trading community and introduce investors to the many advantages of systematic trading. Our goal is to educate and inspire as we embark on a captivating journey into the vast knowledge and experience of leading portfolio managers and other experts in the field!
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019 - The Trading Strategies of Jim Simons' Medallion Fund with Greg Zuckerman
All the secrets of the Medallion fund revealed! Well, our speculations about the secret sauce anyway.
Today, in a special tribute to Jim Simons, we are privileged to welcome the multi award winning journalist & author Greg Zuckerman to our podcast. Greg's detailed chronicle of Jim Simons' life in his book, "The Man Who Solved the Market," offers invaluable insights into Jim's genius and the remarkable team he assembled. Simons’ strategy of bringing together the best minds in mathematics, physics, engineering, and other disciplines created a powerhouse of talent that drove Renaissance Technologies to unparalleled success.
With gross returns of over 68% from 1988 through to 2022, this quant firm rules them all. Head on over to www.thealgorithmicadvantage.com for a full write up on the Medallion fund. -
018 - Trading Think Tank - Diversification in Trend Following
If you have questions, all the answers are here! In this first episode of a new series we are calling the 'Trading Think Tank' we sit down with a panel of experts and really deep-dive a single topic. In this show it's all things diversification.
What do we really mean by diversification anyway? How many markets do we need to trade? If 'more is better', why exactly is that? What is the relative value of diversifying across markets (such as stocks, bonds, currencies, commodities) versus diversifying across strategies (having multiple models of different types, time-frames or parameters)? Can a basket of stocks be 'diversified' or is the risk of their auto-correlation too high, particularly in an extreme event (the one we really care about that can send us broke)? How much capital is required if one wants to trade a diversified range of futures contracts? Are there alternatives, such as trading CFD's? Is it all too complex? Should we overlay volatility smoothing techniques into our models?
In this episode, literally jam-packed with actionable intel, Rich and Simon are joined by Moritz Seibert and Jerry Parker to discuss all of this in detail in the context of trend following. -
017 - Gary Antonacci - Absolute & Relative Momentum: Trading ETFs & Mega Caps
In an insightful episode of "The Algorithmic Advantage" podcast, we are joined by Gary Antonacci, a notable figure in the finance sector, best known for his innovative dual momentum investment strategy. With an illustrious background that includes an MBA from Harvard and substantial experience in various facets of the financial industry, Gary shares his journey from working in brokerage to collaborating with trading legends in managed futures, and ultimately to his pivotal discovery of momentum investing. This strategy, which he meticulously developed and shared through his influential book, Dual Momentum, has significantly impacted the investment models used today by many family offices and significant investors.
I thought it was interesting to hear Gary clarify, post-show, why he chose the terms he did for absolute and relative momentum, and I thought it would be well worth sharing here. Essentially, he prefers ‘relative’ to ‘cross-sectional’ and ‘absolute’ as opposed to ‘time series’ momentum.
Cross-sectional applies when you segment a single market into group rankings such as deciles based on returns over a given lookback period. Relative momentum is more inclusive. It includes this but also can be applied when you compare the performance of different assets. It makes no sense to refer to that as cross-sectional momentum.
Absolute momentum makes more sense than time-weighted momentum since all momentum looks at economic time series in the form of asset returns.
Investors are familiar already with relative and absolute returns. Referring to momentum the same way makes intuitive sense.
Visit the website for links to resources discussed on the show: www.thealgorithmicadvantage.com
Please share the show with someone and help us get the word out there! -
016 - Joris Bastien of Quantaraxia - Multi Model ETF Trend Strategies
In this engaging podcast episode, Joris Bastien shares his unconventional journey into the world of quantitative trading, originating from his mathematical background and leading to innovative roles in the finance sector. Bastien discusses his transition from IT development to becoming a pivotal figure in trading system design, emphasizing his unique approach of leveraging quantitative hedge fund strategies to create versatile trading systems. His narrative highlights the importance of adaptability and seizing opportunities in the evolving financial landscape.
Delving deeper, Bastien reveals his methodical approach to trading, prioritizing system diversification over traditional asset diversification to manage risk more predictably. He also shares his insights into the future of trading, particularly the role of cryptocurrencies like Bitcoin as alternative investment vehicles. Bastien's story is not just about his professional evolution but also a testament to the power of innovation and strategic thinking in the dynamic world of finance.
Get in touch with Joris:
x: https://twitter.com/quantaraxia
li: https://www.linkedin.com/in/jorisbastien/
w: https://www.quantaraxia.com/ -
015 - Jerry Parker of Chesapeake Capital - The Trend Commandments
Recorded: 12 Dec 2023
In this episode of the Algorithmic Advantage podcast, we chat with our friend, legend ‘original turtle trader’, Jerry Parker. The discussion traverses Jerry's remarkable journey, beginning with his foundational experiences in the renowned Turtle Program, where he gained invaluable knowledge in trend following and risk management under the guidance of expert mentors. Jerry shares his transition from learner to leader as he recounts the challenges and triumphs of starting his own fund, Chesapeake, highlighting the importance of adapting trading strategies, managing investor expectations, and the crucial interplay of trading skills with essential business acumen.
The conversation then shifts to explore the evolution of Jerry's trading methodologies. He talks about his team's relentless pursuit of refining their trend-following strategies, incorporating a wider array of markets, and experimenting with innovative approaches like trend-following spreads. Jerry's commitment to the core principles of trend following, balanced with a willingness to embrace new market opportunities, is a recurring theme. He also candidly addresses the psychological aspects of trading, emphasizing the mental resilience required to navigate market pressures and maintain unwavering faith in one’s system. Throughout the episode, Jerry's insights offer a deep dive into the complexities and nuances of professional trading, making it a must-listen for anyone interested in the art and science of market trends. -
014 - Dr Tom Starke - Combining Alphas in a Diversified Quant Portfolio
In this episode of The Algorithmic Advantage podcast, we dive into the fascinating world of quantitative trading with Dr. Tom Starke, a renowned expert in the field. With a rich background in
physics (PHD) and engineering, Tom shares his unique journey from academic institutions and engineering firms to the dynamic arena of stock trading. His transition from a structured scientific career to the unpredictable financial markets offers invaluable lessons for anyone intrigued by the intersection of
technology and finance.
Throughout the episode, Tom delves into the nuances of quant trading, discussing the blend of art and science in strategy development, the importance of micro alphas for diversification, and the challenges of risk management in today's volatile markets. He also sheds light on the potential of AI and machine learning in trading and offers a glimpse into the future role of quantum computing in finance. His insights not only illuminate the complexities of algorithmic trading but also emphasize the necessity of continuous learning and adaptability in the ever-evolving world of finance.
Recorded: 12 Dec 2022.
www.thealgorithmicadvantage.com