The Algorithmic Advantage

The Algorithmic Advantage
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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!

  1. 042 - Laurens Bensdorp II - Building Strategies with Purpose

    8月21日

    042 - Laurens Bensdorp II - Building Strategies with Purpose

    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 recency bias and overfitting. Plus: robust portfolio construction, capital allocation, and highlights from Laurens’ latest book, Trading Retirement Accounts. Combining losing investments into a winner: https://blog.ephorie.de/parrondos-paradox-in-finance-combine-two-losing-investments-into-a-winner "The Paradox of Diversification" paper: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1567126   More on our site: https://www.thealgorithmicadvantage.com #Quant #SystematicTrading #AlgorithmicTrading #PortfolioConstruction #Diversification #RiskManagement #TrendFollowing #MeanReversion #Volatility #Hedging #Backtesting #Robustness

    1 小时 28 分钟
  2. Episode 041 - Cesar Alvarez - A Novel Way to Combine Trend, Reversion, ETFs, Volatility & More!

    6月13日

    Episode 041 - Cesar Alvarez - A Novel Way to Combine Trend, Reversion, ETFs, Volatility & More!

    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 return to ensure long-term trading success. Cesar’s insights highlight essential strategies for thriving in volatile markets, fine-tuning strategy components, and avoiding the trap of overfitting. Perfect for systematic traders looking for practical edges! #QuantTrading #MeanReversion #AlgorithmicTrading #ETFStrategies #QuantTrading Contents: 0:00 Cesar's Journey: Discretionary to Quant Trading 3:59 Inside Connors Research: Mean Reversion Insights 5:48 Cesar's Current Quant Trading Portfolio 8:35 Tactical ETF Strategies & Retirement Focus 14:34 Designing Quant Strategies: Goals & Principles 17:07 Robustness Testing & Avoiding Overfitting 22:49 Knowing When to Retire a Trading Strategy 29:53 Amibroker vs RealTest: Tools for Systematic Traders 34:03 Cesar’s Featured Quant Trading Strategies 37:03 Short Selling & Mean Reversion in Bear Markets 41:12 Breakout & Momentum Strategies for Stocks 43:53 Navigating Volatility: Trading VIX & SVIX ETFs 50:50 Secrets to Effective Mean Reversion TradingWhat could it be?

    55 分钟
  3. 040 - Pavel Kycek - Generating Insane Returns with Quant Crypto Trading

    5月27日

    040 - Pavel Kycek - Generating Insane Returns with Quant Crypto Trading

    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. Curious? Dive into the show! #QuantTrading #CryptoTrading #Momentum #MeanReversion #Hedging #AlgorithmicTrading #CryptoStrategies

    1 小时 17 分钟
  4. 039 - Brett Steenbarger - Mental Keys to Quantitative Trading Success

    5月16日

    039 - Brett Steenbarger - Mental Keys to Quantitative Trading Success

    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 “psy-stuff” might be more than motivational posters. The punch-line from Brett’s research is simple: systematic trading is less “set-and-forget” and more Formula 1 pit-crew—engineering precision plus real-time human performance. Code finds edges; psychology keeps you creative enough to refresh them. Or, as one of Brett’s blog posts puts it, “We can’t run robust systems from brittle minds.” Not a bad mantra to stick on your trading monitor! #traderpsychology #tradermindset #tradinginthezone

    58 分钟
  5. 038 - Andrea Unger - 672% Returns? Sure! Would You Like Some Risk with That?

    5月7日

    038 - Andrea Unger - 672% Returns? Sure! Would You Like Some Risk with That?

    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 two guests in this series were Bob Pardo and Kevin Davey. Between the three we've got a complete masterclass in shorter-term, diversified and responsive futures trading! Andrea Unger is actually a four-time World Trading Champion, and here he offers a comprehensive and structured approach to quantitative trading in futures markets, emphasizing practical methods for strategy design, robustness testing, portfolio construction, and system deployment. www.thealgorithmicadvantage.com

    1 小时 46 分钟
  6. 037 - Kevin Davey II - Selecting Optimal Strategies for Peak Performance

    4月24日

    037 - Kevin Davey II - Selecting Optimal Strategies for Peak Performance

    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 common back-testing pitfalls, and build diversified, adaptive portfolios capable of weathering market uncertainties. Topics: Strategy Design Principles Walk Forward Analysis: Best Practices and Common Mistakes Robustness Testing Beyond Walk Forward Tech Stack and Automation Tools Portfolio Construction Process Monthly Maintenance and Rebalancing Risk Management and Psychological Preparedness Performance Benchmarks and Goals

    59 分钟
  7. 036 - Kevin Davey Part I - It's All About Process in Algo Trading

    4月18日

    036 - Kevin Davey Part I - It's All About Process in Algo Trading

    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 underscores that success lies not just in the strategies themselves, but in the disciplined process behind them. www.thealgorithmicadvantage.com

    1 小时 10 分钟
  8. 035 - Bob Pardo II - Building Trading Strategies that Work with Walk Forward Analysis

    3月29日

    035 - Bob Pardo II - Building Trading Strategies that Work with Walk Forward Analysis

    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 capturing random fluctuations rather than a persistent trading edge. Regime Shifts: Markets change over time. A strategy that works during a bull market might not perform in a bear market or during periods of high volatility. Enter Walk-Forward Analysis. It's also not easy, but if done right can create an incredible method to solve for over-fitting in a systematic manner, leading to: Realistic Performance Metrics: By testing on entirely out-of-sample data (not just one out of sample period), traders can obtain performance metrics that are closer to what would be experienced in real-world trading. Adaptive Strategies: Walk forward analysis inherently forces a re-optimization process. This means the model is continually updated to reflect more recent market conditions, thereby reducing the risk that it’s built solely on outdated historical data. Robust Parameter Selection: Instead of selecting a single “optimal” parameter set that may be an outlier, traders can identify a plateau of robust parameters that perform consistently across multiple windows. This approach minimizes the risk of curve fitting, ensuring the strategy’s parameters are not overly sensitive to one specific dataset.

    1 小时 21 分钟
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关于

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!

信息

  • 创作者
    The Algorithmic Advantage
  • 活跃年份
    2023年 - 2025年
  • 单集
    43
  • 分级
    儿童适宜
  • 版权
    © The Algorithmic Advantage
  • 节目网站
    The Algorithmic Advantage

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