Trade System Validation Description
Trade System Validation is a trading system validation course taught with NinjaTrader: how to estimate what to expect from a trade system before you put it on the live market. I planned it for years, and everything in it is what I use myself to validate my own systems. I use NinjaTrader throughout, but the ideas don't depend on the platform. One honest note: no method can promise that a system will make money. What this course gives you is a clear, practical way to see a system's risks and potential gains before real money is on the line.
What's inside. 12 lectures, about 3 hours. After the introduction, it starts with optimization and curve fitting. Then you meet the trade system we analyze throughout the course, with extra info on the course version and how to install it. From there the lessons work through optimization fitness parameters, stable parameters, multi-market validation, comparing in-sample and out-of-sample results, walk forward analysis and Monte Carlo analysis. The last section is an overview of the Datacollector software.
What you'll be able to do. Judge, quickly and visually, whether a trade system can potentially make a profit or only fits the past. You'll know how to choose fitness parameters for optimization, check that parameters are stable, test a system on more than one market, compare in-sample with out-of-sample results, and use walk forward and Monte Carlo analysis to estimate what to expect. You also get the trade system we analyze in the course, access to extra software, and my practical tips, tested in real trading for years.
Who it's for. Anyone who builds or trades automated strategies and wants an objective way to judge them. It's practical and needs no higher mathematics, computer science or programming, so non-coders get as much from it as developers.
Why it still matters with AI. AI like Claude can write a strategy in minutes and suggest endless parameter tweaks, which makes it easier than ever to build a system that only fits the past. Telling a robust system from a curve-fit one is still your job, and it's exactly what this course teaches: optimization, stable parameters, walk forward and Monte Carlo, the way I use them. Enjoy the course!
