Good day, good day, everybody. Brian here from wantlabs.net. Today is May 28th. I'm going to have some big news coming down the pipe soon. So keep your eyes and ears and all that peeled out for it. Anyways, I came across another interesting article. I do like this BetterSystemTrader.com podcast. It's pretty good. They did a posting called 10 Insights from the Man Who Solved the Market. This is referring back to the book Jim Simons Medallion Fund. It's the book put out by Gregory Zuckerman a few years ago. So this guy, Andrew Swan Scott, read it and thought he'd provide his insights. So let's go through these.   Get your free trading tech books here books2 - QUANTLABS.NET The first one is originality matters. Ignore conventional wisdom about the markets. Innovate and explore unique trading strategies and ideas. Look at the market differently from the herd. I totally agree with that because when you look at the markets, there's usually a star performer out there if you go out and dig for that among all the different data sources. And it could be a long-term trending strategy that you could use based on that. A good one in the past was USD Japanese Yen. Another one that was lesser known was USD Turkish Lira or Euro Turkish Lira. They did really good over the years, but now central bankers have stepped in and taken away those opportunities. Now, I don't know about the yen. That could continue, but that could lead to something that could be the next big catalyst to take us all down. But at the end of the day, looking for those sort of things, finding them, that's what gives you what they call trading edge for sure. Number two, collaborative success. Partner with talented individuals. Foster a collaborative environment to enhance problem-solving and innovations. Again, I cannot stress this. We're hoping to have an interview with Ernie Chan and other people that have kind of trailblazed the whole quant trading space, specifically for those that are coming from the retail trading space. Because as we know, to do true HFT, high-frequency trading, and true low-level quant research and that, people can kind of do it, but you have to have a fairly big account to take advantage of it to really do the pay-to-play thing directly right on the exchanges. As a retail trader going through a retail trading broker, that's pretty hard to do. So you have to find people that are kind of in the same area as you in terms of your account size, maybe your technical chops, as well as your mathematical experience. For myself, I guess I can share this now is that I will be moving my site over to a better technology, to Wix. I'm hoping to build out a better group community through that. That's part of the WIC's features, I guess. I did have an amazing group a few years ago. They're still around. I just want to bring more people together so that they can engage with each other behind the scenes. All at a paywall, but membership privileges have its costs. So that's where you get the collaborative success. So that's what I'm hoping to bring to the table. Okay, number three, embrace scientific rigor. Apply a rigorous scientific approach in model Model testing and validation ensuring robustness and statistical significance. This isn't really HFT, but to make life easier for a retail trader, I find using tools, very popular, very in-depth tools like TradingView helps you here. You can see instantly without going through any of the wonky backtesting packages out there, frameworks. works. Out of the box, you're ready to go. When you're working with an open source trading strategy, if you build your own, buy one, lease one, whatever on TradingView, you get the ability to see it. What's its profit potential? What is its profit factor? Which is another way of saying, if I'm going to put a dollar in, how much can I expect to get return from that via the profit factor? These are right there out of the box. So when you have these sort of instantly viewable to