How This Trading System Generated $33,517.57 in 60 Days

Kosta Ouzas walks through a client who made $33,517.57 in 60 days using a fully automated trading system on a $335,000 account. He replicates the results on TradingView with the same settings and explains how the system runs without human intervention.
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One of our clients recently generated $33,517 in just 60 days using our fully automated trading system. Now that means that there was no manual trades done, there was no intervention, and no active decision making at all on their side. The system executed everything automatically. So in this video I'm going to break down exactly how that happened, what the system was doing during that period, why it was profitable, and what market conditions made the outcome possible. So to keep this completely transparent, I'm also going to replicate the same behavior on TradingView using our own version of the algorithm over over the exact same time window and with the exact same settings the client was given. So you can see precisely how those results were produced. So firstly, let's have a read of the post he made inside of our community. So he said. Hello everyone. I haven't posted in this channel before, but I figured now's a good time to join the party. I wrapped up my full setup based on the master strategy settings at the start of August, so it's been just over two months. The setup runs on an initial $335,000 wallet. Not saying anything new here, but Marcus Holloman and Chris Tah are absolutely amazing. Their guidance and support have made such a huge differ difference. I really appreciate you guys. I feel very lucky to be part of this community as we all learn and grow together. And as you can see there, his P L is showing $33,517.57 for that trade. So this is a great example of what's possible. When the system is configured correctly and allowed to operate as designed over just two months, this equates to roughly $16,700 per month, or about 5% per month on a 335k account. Which is, which is well within the range of what we've observed under favorable market conditions and when volatility and structure align. As always, results will vary with market environment and configuration. But this outcome is very much in line with what this type of technology is capable of producing when it's engineered properly and executed without emotion. Now before this client came to us, he had already tried trading manually. He'd experimented with different strategies, different indicators and semi automated tools that still required him to be involved in every decision. Still required him to stare at charts all day, entries needed confirmation, exits were second guessed and risk management depended on a discipline. But there was no real guidance to it either. Even when parts of the approach works, it required constant monitoring, emotional control and time in front of the screen. And that's what everyone Just wants to get away of. The core issue wasn't effort or market knowledge. We all know that. We're all trying as hard as we can to get results. But the client simply didn't have a system that could just operate independently. There was no framework where execution, risk management and trade management were handled automatically without human intervention. So as long as the process relied on the client to be present and making decisions, decisions, consistency was always going to just break down that change once the client gained access to the algorithm that we gave him, along with the consulting and guidance needed to configure it correctly from day one. So after it was deployed, the system just handled everything itself. All entries, all exits, all positions were managed and were executed entirely through the code. No manual trades were placed at any point. The system connected directly to the client's exchange account, while the client retained full custody of their funds the entire time. And over the following 60 days, the system ran exactly as designed. There was no discretion, no intervention, and the result was $33,517 in realized profit generated purely through systematic execution. So now I'm going to show you the actual trade data and account metrics from that period, and I'm going to replicate the same behavior using Trading View, using the exact same time window and the exact same settings the client was given, so you can see precisely how those results were produced. All right, so what you're looking at here is Trading View and the entries.
And exits that our algorithm provides. And as you can see here, go to indicators via invite only. This is how share our indicators with our clients.
As you can see, there absolutely no indicators.
If we turn ours on, this is how you get all the buy and sell signals and we're able to engineer these to execute on the trading platforms. So what I did is I came in and I inputted his starting capital, $335,000. And I basically have done a back test from the 60 days. So from October 5th, when he posted in Slack, and I've gone three days earlier versus about 63 days, but again, I gave it a bit of time. From imposing, you can see the trades that would have happened. So if we go from October 5, which is around here, we can move slowly through. And as you can see, basically what I've done is I've replicated exactly what the master strategy that he was using would have looked like. So you can see all the trades here going all the way back. If you went all the way back to. Here we go, July. July 27th, here we go. So it's from here. There we go. From July 27th. So basically he started trading here and this is exactly the moves that he would have made. So as you can see, constantly entering and exiting positions. And let's just have a look at the performance because I'm able to replicate pretty much exactly the same P and L. As you can see, this is 9% hit a little bit more. Again, I don't know exactly what his settings were because we provide the technology, we don't actually do everything for you. We work as consultants to help you to engineer and architect your very own system. So I've just done my best to replicate pretty much what he would have done, but obviously we're giving the settings, so I know what it'll look like. But yeah, 9%, he's at 30,000 over that exact same time period. So you can see that only a 3.68% drawdown during that time as well, which is pretty amazing. Let's see that. How that holds up to the buy and hold. Well, the buy and hold actually did 4.46% for that period. So this outperformed it by around 5%, let's call it 4 to 5%, which is pretty damn good.
And you know the difference between a.
Buy and hold and what this is? It's a realized gain as well, which means the profits have been realized and they're able to actually use that money in real life, or they're able to use it to compound or even use it to buy more Bitcoin. That's the difference between this. We're not only beating the buy and hold most of the time, but you actually have that realized profit that you can do something with right away.
One thing that's important to understand about these results is that our clients aren't left on their own. They're not just given a piece of software or code and told to go figure it out. They're working with a full consulting team made up of real people who've spent years operating in live markets. A good example of this is the people they mentioned in the post, Marcus Holloman and Chris Starr. Marcus is actually based in Texas in the United States, and he's been trading for over 20 years. He's our chief strategist and actually was originally a client, and he works directly now with our clients to help them engineer the architecture around the system and help them build things like the risk management, the right capital deployment, and how the algorithm is going to be configured to operate in real market conditions. His role isn't theoretical. It's actually really practical, it's really hands on and he operates inside our community. Marcus also works alongside us at the live events. We've traveled together to Nashville, which is actually a really cool place. That was the first time we sponsored the Bitcoin 2024 event. As you can see, we had a small booth to begin with, but we all flew there and we even got to see cowboys dancing there on Broadway. Let's take a look at those cowboys. That was fun. And on top of that, I got to meet Giovanni Santa Stasi for the first time, who went on to build the risk management framework to our algorithm. Once we discovered the power law theory and how it could be a framework for our trading system, and we got to talk about our product and our algorithm to real people and real clients. It was absolutely fantastic. We've also sponsored Las Vegas this year, 2025, which is awesome. We absolutely loved Las Vegas. I haven't actually been able to share these photos anywhere, but I might as well show them here. We went to the Golden Steel, which is a steakhouse. It's actually where Elvis used to go, Frank Sinatra, Dean Martin, Sammy Davis Jr. It was absolutely amazing. I took the whole team there. Matt and Josh, who are available to take calls. If you want to book a call with these guys, there's a link in the description. So after meeting clients and spending three days talking about the algorithm, we got to enjoy some amazing steaks and wine. Some of the best the USA has to offer. The reality is that we've actually built something that we're all using with our own money and we're all sharing with CL friends and family and we're all talking about it constantly. It's turned us into a kind of family as well as some of our clients who feel so close to us now. I remember in Vegas when we were.
There, we went to get a burger.
And there were 30 people that tagged along with us. They were all clients and people that had worked with us, people who knew us from YouTube and from X. It was so amazing just to be sitting with them and talking about the strategies and systems that we've actually given them and shared with them. That's actually helped to change their lives as well. We also flew to Singapore token 2049 and we went to Sydney as well. The Australian Crypto conference at the national convention set up. We do all these conventions so we can meet our clients face to face, so we can run workshops and have real conversations about how these systems behave in different environments. And so we can meet our clients and shake their hands in real life. It's so important to be able to do that. I was also invited onto the Binance stage this year and I did a speech on Bitcoin market liquidity and how algorithms are used in the digital currency markets. And that's a video that you can check out on my YouTube channel as well. You can probably see by now that our trading system isn't something that only exists behind a login screen. We've actually built this in public and we stand behind it in person. The point I'm trying to make is, is that this isn't a group of anonymous programmers or a black box product sold by people that you've never met. Take a look at these YouTube thumbnails. This is one looking at a Pioneek spot. This is one looking at a ChatGPT bot. Yeah, like you can actually just type into ChatGPT, make me a bot, and it's going to spit out something that's going to make you money forever. It's so unrealistic and it's so naive. Get ChatGPT to write you an essay on Shakespeare. And if you are not an expert on Shakespeare, the essay is absolutely going to suck. Now take a look at this one. It's completely anonymous. This guy won't even show his face. And that's the difference between using the Minotaur trading system and working with us. It's that transparency that you get using the strategies and systems that we've built and we use with our own money. We're a global team, with people in Australia, in the United States, in the United Kingdom, and of course, other parts of the world. And we're all focused on one thing. Helping clients get results by using a properly engineered and fully automated system. The software matters, but the expertise and the support behind it matter just as much. So to cut a long story short, because I have rambled a bit in this video, right now we are making the system available to a limited number of people who are the right fit. This isn't something we're going to push to everyone and it may not be available forever. We're selective because this is the same system that we trust with our own money. It's also the system that our clients are running with serious capital. Many of them are deploying six and seven figure accounts. And you can go and watch the Testimonials in the YouTube channel. Don't take my word for it, hear from what they have to say. And they're using the same core logic and the same automated execution. That you've seen in this case study. So this isn't a theory or some kind of new experiment. This system is built on a scientifically grounded approach and has been supported by the work of Giovanni Santa Stasi. Go ahead, type in his name. Look him up. He's a PhD physicist and financial analyst whose research underpins much of the long term structural behavior that we observe in Bitcoin. And that means many people have taken and observed as well. It's also been battle tested in the real world by experienced traders who are well known online. People like Sam Price AKA Cryptolifer, Tim Warren from Tim Warren Investing, David from Sin City Crypto, and of course Alex oh, who all use this system as part of their own approach to generate additional income or even to just accumulate more Bitcoin over time. So if you're someone who understands the value of automation, structure and risk control, and you're looking for a system that removes emotion from execution, then this could be worth exploring further. You can find the details below and see whether this is the right fit for you.










