Line Your Own Pockets

They explore using AI agents to run massive backtests overnight and automate strategy iteration. Practical setup tips cover sandboxed mini-PCs, CLI control of trading tools, and safe permissioning. They discuss test-driven development for strategies, using example trades as pass/fail checks, and when to build versus using mature tools. Scaling workflows and automating code reviews also come up.

We continue last week's discussion on using Claude and OpenClaw to automate strategy creation.We touch on:How to get AI to do the grunt work so you can be the CEO of your tradingWhy Michael switched from OpenClaw to Claude CodeTeaching Claude to automate Amibroker (hint: point it here)How giving Claude Prop Firm constraints helped focus its workAuditing its work is critically important - the more you understand, the betterMuch more, including the next steps of using the Cruncher in this process... ---Before you go!The next time you find yourself in a drawdown, I want you to stop what you're doing and head on over to betterbacktesting.com to sign up for my free backtesting email course.I hope to see you there!

In this week's episode of Line Your Own Pockets, we discuss Michael's project for having OpenClaw create and run backtests from his list of research ideas for trading strategies.His agents have created over 200 backtestsHow they've primed the backtests to be used in the Strategy CruncherSOPs (Standard Operating Procedures) have paved the way for this workflowAI as a research assistant/intern for your trading businessAnd much more... ---Before you go!The next time you find yourself in a drawdown, I want you to stop what you're doing and head on over to betterbacktesting.com to sign up for my free backtesting email course.I hope to see you there!

We cover:Making mistakes early when they're relatively cheapFocus on scaling wide versus scaling upLearn R-multiples - it normalizes your performance as your account growsBecome the best in the world at a very specific strategy (it's not as hard as you think!)And much more... ---Before you go!The next time you find yourself in a drawdown, I want you to stop what you're doing and head on over to betterbacktesting.com to sign up for my free backtesting email course.I hope to see you there!

They debate why starting with little capital speeds learning and lets you test niche strategies. They explain prop trading combines, timing pressures, and risk limits to watch for. They cover alternatives to the PDT rule, where to spend small budgets on backtesting and data, and why running prop and personal accounts in parallel can help growth.

A lively dive into curve fitting in trading strategies. They explain why curve fitting exists on a spectrum and common equity-curve pitfalls. Five practical ways people accidentally maximize curve fitting are outlined. Listeners get a compact checklist of easy-to-apply safeguards and advice on testing, monitoring live trades, and seeking trusted feedback.

They compare a column library to a shared software library and explain how reusable columns scale systematic trading. They introduce MACDV, normalizing MACD by ATR to make indicators comparable across securities. They cover intra-trade columns that let you test many exit ideas in one backtest. They stress using continuous, normalized columns to find hidden flaws and avoid overfitting.

Topics discussed:Profitable traders don't follow the crowd - or any particular trading guruHealthy attitude towards trading and riskMaking great trades is the goal - ironically, the money is almost secondaryDay trading is key (don't believe me? Just do the math)Automation is a massive trading edgeMuch more... ---Before you go!The next time you find yourself in a drawdown, I want you to stop what you're doing and head on over to betterbacktesting.com to sign up for my free backtesting email course.I hope to see you there!

We discuss:Python is a great general-purpose language, but that's what makes it a bad choice for backtestingIterating on your strategies is the critical piece - anything that makes that more complex will make things more difficultIn a world of LLMs, the argument for using Python for everything makes less senseChoose your tools based on profit potential, not because "I like Python and am good at it."Much more... ---Before you go!The next time you find yourself in a drawdown, I want you to stop what you're doing and head on over to betterbacktesting.com to sign up for my free backtesting email course.I hope to see you there!

Topics include:Batteries Data Not Included - the best way to get data into AmibrokerThe code that adds custom columns in Amibroker is resource-intensiveQuirks with databases in AmibrokerYour computer hardware matters with Amibroker (get more RAM)Dave's hardware specs for his backtesting computer. ---Before you go!The next time you find yourself in a drawdown, I want you to stop what you're doing and head on over to betterbacktesting.com to sign up for my free backtesting email course.I hope to see you there!