The Algorithmic Advantage

Big discount on Martyn's tool for subscribers: https://www.algoadvantage.io/toolbox/ Watch Part 1 first! https://youtu.be/Kxvp00VbLx0 My detailed write up on Walk Forward Correlation Analysis: https://www.algoadvantage.io/podcast/053-martyn-tinsley-2/ Martyn introduces Walk Forward Correlation (WFC) as a diagnostic for two problems that sit at the heart of systematic trading: over-fitting and...

Martyn's process. Dealing with common trader pitfalls. Defining steps and methods for avoiding over-fitting. "Opt My Strategy" the Robustness Testing Application built by Martyn Tinsley. Up to 25% off for Algo Advantage Subscribers!! https://www.algoadvantage.io/toolbox Martyn's paper on his new technique, " Walk Forward Correlation A Diagnostic for Over-Fitting and Structural Edge in Trading Stra...

What does a quantum physicist & inventor bring to quant trading? He thinks differently and is purposefully anti-alpha - instead focusing on risk management. After years of trying conventional risk models, Samir’s conclusion was not that risk is impossible to model. It was that most people are solving the wrong problem. They try to predict exact future risk levels. His approach shifted to class...

Where Real Edge in Quant Trading Actually Comes From Do not watch this podcast. This is Part 1 with Samir Varma, and in Part 2 we go into great detail about his quantitative trading. In the Collective, he gives our members some specific instructions on how to measure risk differently – this stuff isn’t fluff. But in Part 1, I got derailed into quantum physics, determinism, AI, Asimov’s three laws...

Crypto Trader's Edge Course: https://www.algoadvantage.io/academy/crypto-traders-edge/ Most crypto traders are still thinking like coin pickers when they should be thinking like portfolio architects. High-performance systematic crypto trading is not about chasing narratives — it is about robust portfolio construction, trend following, mean reversion, risk management, alpha stacking, diversificatio...

This interview with Michael Wallace (who was inspired by Larry Williams & Ralph Vince) brings a few things to mind. First is the absolute centrality of the role of position sizing in trading, second is the nature of ‘probabilities’ in trading. They are highly related obviously. Sizing is not an afterthought; it can change everything. Presuming an ‘average win rate’ is going to apply to your ne...

Courses, community & more: https://www.algoadvantage.io This is part II, part I is Episode 46. I know we all want “quick, actionable take-aways”, but the reality is that foundational principles of strategy development process is at the core of successful trading, and you more than likely do not have half of this in place like you should. So, while this is ‘foundational’, and can only be covere...

Detailed write up on how institutions trade differently: https://www.algoadvantage.io/podcast/046-tom-starke/Part 2: coming soon! Dr Tom Starke trades significant institutional capital as a quant trader for a private fund. In Part 1, we cover the common pitfalls of 'retail' or newer traders. Tom makes the case that institutions 'think differently', applying an extra dimension to th...

Detailed write-up on all of the concepts discussed here: https://www.algoadvantage.io/podcast/045-rob-hanna Rob Hanna has been trading since the mid 90's and has slowly progressed from discretionary swing trading to a systematic, research driven approach, while still carrying some of those qualitative features into his quant trading. He trades a diversified set of strategies in equities and ET...

I think Nick Radge’s edge is actually an architecture: robust, simple, momentum-driven systems stitched together into a portfolio that survives, adapts, and compounds. Across nearly four decades, he’s traded through crashes, chop, and melt-ups; shifted from futures to equities for business reasons; and kept his build-process stubbornly logic-first and comfortingly boring—by design. The pro vs amat...

Can caveman-simple trading rules still work in today’s markets? Brent Penfold says yes. In this interview, he reveals why old strategy rules remain powerful, why portfolio-level thinking is the real edge, and how diversification and discipline create timeless success. Brent talks about trading patterns in a range of 30 futures markets, deploying 20 strategies diversified across mean reversion and...

Round II of a systematic trading masterclass with Laurens Bensdorp: architect non-correlated, purpose-built portfolios—mix trend following, mean reversion, and long-volatility hedges to drive smoother, higher risk-adjusted returns. We unpack the “paradox of diversification” (Parrondo’s paradox) to turn “ugly” equity curves into compounding machines, and when (not) to switch systems off to avoid re...

Dive into the deep experience of quantitative trading with Cesar Alvarez (trader first, martial artist second), a veteran trader known for his mastery in mean reversion, breakouts, momentum, ETF and volatility strategies. Discover his innovative methods building a dynamic portfolio, retiring strategies, parameter sensitivity tests, strategy robustness checks, and the art of balancing risk and retu...

A Smart Portfolio of Trend Following, Mean Reversion & Hedging Strategies Unlock insane returns with quant crypto trading! Discover how Pavel from Robuxio builds robust portfolios combining mean reversion, momentum, and hedging strategies—even with limited historical data. Learn essential techniques for managing crypto volatility, optimizing execution, and leveraging diversified strategies. Cu...

Psychology for Quant Traders? Really? Quantitative futures traders like to think in code, not clichés—but Dr Brett Steenbarger makes a compelling case that mindset is part of the edge. In this interview, Brett argues that the same statistical rigor quants apply to markets should be applied to the grey matter behind the keyboard. Here's a guide for the advanced systematic trader who suspects “p...

Finishing our little mini-series on shorter-term futures trading we talk to Andrea Unger and happily inject some click-bait in the form of gloating about his 672% return in a single year when he won the World Trading Competition. Naturally, we know that this kind of return is generated by specifically trying to win the comp, and taking on the associated risks! If you've been asleep the first t...

Kevin’s systematic approach melds rigorous quantitative testing with pragmatic risk management and monthly maintenance protocols. By enforcing single-pass optimizations, extensive real-time validation, and lean portfolio sizes, he constructs a robust trading framework designed for consistency and longevity. Advanced traders can draw from his workshop principles to refine strategy design, navigate...

In the cutthroat world of algorithmic futures trading, a structured process is non-negotiable. Kevin Davey’s approach—defining objectives, rigorous validation via walk-forward and Monte Carlo methods, live incubation, and proactive portfolio management—offers advanced quantitative traders a framework to thrive in. By blending engineering precision with market adaptability, his methodology undersco...

Many trading strategies are developed using extensive historical data to calibrate model parameters. However, this process often leads to over-optimization, where the strategy is too finely tuned to past market conditions. Two things stand out: Noise vs. Signal: Financial markets inherently contain a high degree of randomness. A model that fits historical data exceptionally well may simply be capt...

Of the two biggest problems quantitative traders probably face, the first is over-optimization and the second is likely finding inspiration for new ideas. In-depth interviews with market wizards surely has to be one of the best ways to learn quickly, avoid common pitfalls and find untold amounts of inspiration hidden between the lines. Listening to experts that have been at it for decades, for me...

The A-Z of building a systematic futures portfolio In this episode, seasoned trader Rob Carver shared his nuanced approach to building and managing a diversified futures portfolio—a methodology that appeals to advanced, technical traders, while we also covered off some of the 'basics' of futures trading, such as rolling, back-adjusting, and so on. I did my best to break down the key elemen...

Building Better Strategies with Good Science It was strangely comforting talking to Ernie Chan. Whilst I was completely out of my depth talking about AI and Machine Learning, I came away broadly reinforced in my own belief that great trading still requires a human touch, and that the best niche's in the market are best discovered by applying a certain kind of wisdom, experience and competitive...

In the domain of quantitative finance, the juxtaposition of mean reversion and trend-following strategies constitutes a pivotal dialogue in the formulation of robust trading paradigms. Each methodology is underpinned by unique theoretical and empirical foundations, presenting distinct opportunities and inherent vulnerabilities. However, when synthesized within a cohesive portfolio framework, these...

Wayne Himelsein, President and CIO of Logica Capital Advisors, has developed a robust approach to options trading centred on long volatility strategies that balance systematic rigor with human oversight. His methodology involves "gross long volatility," rejecting short volatility trades to ensure full protection during market downturns, and dynamically adjusting positions through a technique he ca...

The concept of the “Cockroach Portfolio” is a novel take on building a robust investment strategy that thrives across diverse market conditions. Drawing inspiration from one of nature's most resilient creatures, this approach emphasizes adaptability, diversification, and risk mitigation. Jason Buck runs Mutiny Funds with a core belief that: “Offense wins games. Defense wins championships.” Mutiny’...