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HeyJared

Line Your Own Pockets

A weekly show for systematic traders who want to make more money from their trading strategies.

Podcast · By Dave Mabe and Michael Nauss · English · Official site

Indexed episodes, last 90 days
12
Latest publication
Sep 21, 2026
Audience
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Earliest in this view
Jul 6, 2026

Latest episodes

  1. Episode · Sep 21, 2026

    Backtesting a Swing Trading Strategy (opens the original)

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    In this week's episode of Line Your Own Pockets, Michael and I have a heated discussion on swing trading versus day trading. It starts innocently enough with a question about how to backtest a swing trading strategy with a "trail forever" component. But then it quickly turns into a swing trading versus day trading cage match. We do finally end up agreeing on the fundamental approach to backtesting a swing trading strategy - barely. Topics discussed: The differences between backtesting a day trad

  2. Episode · Sep 14, 2026

    Common Mistakes Advanced Traders Make (opens the original)

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  3. Episode · Sep 7, 2026

    Common Mistakes Beginning Traders Make (opens the original)

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  4. Episode · Aug 31, 2026

    How To Use Candle Patterns In Your Strategy (opens the original)

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    In this week's episode of Line Your Own Pockets, we explain how to use candle patterns in your trading strategy. Topics covered: Candle patterns aren't magical signals, but that doesn't mean they have no value Instead of "when does pattern A work?", ask yourself "when does pattern A help my strategy?" Don't get stuck on the exact definition of a pattern (e.g., a hammer) - it's arbitrary The MabeKit Dojiness column as a good example of a continuous versus binary variable in a backtest And much mo

  5. Episode · Aug 24, 2026

    How Strong Should Your Signal Be? (opens the original)

    Episode notes · Neutral tone

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    In this week's episode of Line Your Own Pockets, we discuss a question submitted by long-time list member, Matt H., about signal strength. How strong should your signal be when creating a trading strategy? It depends... Topics include: Stronger signals make strategy development easier A weaker signal can be viable, but in this case the filters do more of the work The more filters contribute towards the edge, the more curve-fitting risk My favorite strategies are those where the signal is "hiding

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