[0:00]Just stop there one second just so I understand it only runs 10 minutes of the day did you say? That's it. It train 10 minutes a day. 10 minutes a day. Malik is up 700,000. The crazy thing is that's in the last six months. One thing that's going to blow people's mind is I don't have to do anything until here for two years here. This is the process that I follow for every strategy that I create. And you make a ton of money without doing anything. To me that is absolute insanity.
[0:31]Welcome to Undiscovered Traders by Kinfo. The only podcast that interviews verified six and seven figure traders. If it's not Kinfo, I thought personally believe that you know that that person can have actually made that money. And today, we're interviewing Malik who goes under the Kinfo name, is it Mali TQQQ trader? Now, Malik is up 700,000 in verified Kinfo profits a little more, much closer to the million and his actual profits, which we'll get into in a little while. The crazy thing is, that's in the last six months, we've saw those profits come through on Kinfo. Uh and this this episode is a very special one. It's something a bit different that we do than normal. It's it's pretty much a must watch because in this Malik is going to determine his strategy, how he comes up with the concepts, the the how he builds the models and builds the codes, back test it across 42 years of data, and then how he automates that process. There's going to be like a a small presentation and then a big demo, perfect for kind of people who are wanting to get into this. But first of all, um Malik, thank you. How are you? Yeah, doing pretty good. Um really excited to talk about my journey and uh everything else here. But uh first of all, really, really thank you for inviting me on this uh podcast. Um I I as I said before, um I when I started trading, I used to watch your videos. Um online, and uh they were amazing. I think they were seller and uh um lots of comedy in them and uh lots of value. So I used to love and uh watch those videos all the time. I appreciate that. I was I was a crazy uh crazy 20-year-old, 20 plus-year-old kid, maybe 30 when I was just just starting those. Um one one day I'll go back. Um I said I was to do a podcast and I'm I'm back on this one. So that's that's nice. Um but Malik in terms of your trading, you've made an incredible amount of money in a very short time. Uh I really appreciate that you've been transparent on Kinfo, but also that you're going to be transparent enough to kind of show us the process of how you're doing it. And you are more of like a quant guy is that the right way to say it or more of a systems guy? Yeah, I there is a small slight difference between quantitative and systematic. I am more of a systematic uh uh guy with uh a lot of mechanical, everything is mechanical. Um every rule and every algorithm, every decision is all mechanical and it's tested against the last 42 years of data. Um to make sure that it is robust. Um I use a lot of stress testing and make sure that these uh strategies can stand uh against a lot of market regimes, right? Like.com uh crash or 2008 crashes, uh ups and downs like, can it withstand all that that the market throws at you every day and day in and day out, right? So uh that's what I do. I'm very different from a lot of folks that uh do the trading. Uh again, like nothing wrong in uh uh having that kind of a manual discretionary trading. Um but uh yeah, I am completely fully automated at this point. I don't uh do anything in terms of trade execution or everyday day-to-day decision making. Uh it's completely automated. I just let the computer take care of everything for me. Uh because I have a day job and I focus on the day job. That's absolutely insane to me. So you've made nearly a million dollars without executing trades? Yep. I uh it's been three years since I uh actually put in a trade in my brokerage account. Everything is done by the computer and it does it very, very consistently. There's no emotions there, uh it doesn't matter what the rest of the market is doing, tariffs or recessions or anything like that. It just does its job and that's what I really wanted there. To me that is absolute insanity. It's it's bordering on the whatever everyone's trying to do, like everyone's trying to build a a trading bot. I remember Stephen Ducks was talking about the Ducks and it and I mean Malik, you you built the Malik and it. But um but like I just want so first of all, how did you what's your background? How did you learn how to do this and then we'll we'll go a bit into a demo. And and also what are you trading? Um when you when you simulate new trades? Yeah, I can I have prepared a few slides. I can quickly uh go through the slides and then uh talk about my background and uh my journey. Uh if that's okay with you. Yeah, sure, sure. Let's do it. But I just one question while you bring them up. Uh a lot of people ask me when they see people make a big amount of money, uh how much did you start with? Because say if you start with 10 million and you've placed one trade and you made 10% and you made a million. So like what what did you start with? How did that journey start quick? Yeah, so uh I started my journey um almost uh 10 years, nine years ago. When I started, I just had a small account because I knew uh it was not going to go super well. So I started with like uh roughly 20k. Once I uh figured out, okay, I this is my niche and uh I can consistently make money. I started I bent to a bigger account, like I started with uh around 200k and uh yeah, right now, uh it's uh 200 to 20k and then now it's uh hitting a million in one of the accounts. I have a couple accounts um overall, but uh yeah, on the right hand side, you can see here, this is my um this is my uh one of the accounts uh equity curve. Um so you can see until 2022, 2023, beginning of 23, I didn't make a whole lot of money. Um and then I started making uh uh consistent money. It doesn't mean that I make money day in and day out. Um last year was uh uh you know, a flat period. I didn't make a whole lot. But this year again, the market uh uh the regime suited my strategies, so I started making money again and uh right now, yeah, this account is getting close to a million dollars here. Um before that, we can quickly look at the Kinfo. Um I would say my my style is uh more of a position trader. Um where I hold the position like the core position for uh as long as the trend is uh in place. But I trade uh I I trade uh some portion of those shares around it. So let's say uh depending on the again, the uh day and uh the trend, I might only hold like 30% of my shares, but like tomorrow, I can add more and then day after tomorrow, I might sell some more. But still, like the position is not completely closed until it might take three months, six months, sometimes couple of years. Um so it's it's not a swing or a day trading strategy, it's more of a slow end position trading strategy. So that's why um when we go to the um uh profit chart here, you see that there's not a whole lot in the last two years. It looks like I made all the money in this uh last six months, but but what happened in reality is like when I started in um three years ago, that position I was holding it until like uh last year until the bull market uh this year until the bull market ended. Um and then uh uh the position was closed. So usually Kinfo, uh tracks all the closed positions and then the profit is displayed. Um that's why you see this a little bit of a uh jumpy like a steps um in there. But uh that's just yeah, that's just a different uh visualization here. Yeah, but it's it's uh there's a lot of work, there's a lot of work going on behind the scenes behind those uh those jumps. And and then so are you so I'm seeing SQQQ there. So are you trading in is that the the NASDAQ or is that a form of the NASDAQ that you're trading in? Yeah, so uh I'm a software engineer. I've been a software engineer for 20 years now. I used to work at Microsoft and then sales force. That's my background. I have been trading since almost 2016, 2015, 2016 and consistently profitable since 2022. And the key thing is I'm a fully automated systematic trader, as I said before, I don't make any manual day-to-day trading decisions. I don't I don't um figure out like what to buy, when to buy, should I sell, how much to sell. All that stuff is automated, the strategy is completely automated. I just let the computer run it. Um right now, I'm doing seven strategies. Uh trend following and mean reversion are the two um categories of those uh strategies here, both long and short. Trend following, I would say is the bulk of the um uh bulk of the profits like is derived from the trend following. And uh it's a low frequency trading, like one to two trades per week. So my system is uh or my system is uh a pretty low frequency trading, so it's not really like going in and out consistently, um constantly. But uh it'll figure out like when to really trade. Uh one more special thing about this is I only trade TQQQ and SQQQ. Uh these are the only two ETFs that I trade. Uh one is a long, triple leveraged, uh NASDAQ 100. The other one is a short, triple leveraged, uh NASDAQ 100. Um so if I need to short, I uh the the algorithm chooses SQQQ. If I need to be long, it uses TQQQ. Um so that's the only thing that it does. It doesn't trade individual stocks, it doesn't do anything else. Roughly the last three years since I went into production, uh means I started uh this algorithm into the actual brokerage accounts. My annual rate is around 40% uh return with uh there were a couple of times where I hit a 33% uh drawdown, almost 30% drawdowns. And uh my I I put my uh strategy signals at collective two uh so that everybody like anybody can actually take them and consume it. Um either they get emails, SMS uh messages, uh text messages, whenever I put a trade in my account, it automatically sends all those signals in real time. Uh through Collective2. I maybe I'll be contacting you for that after. I may be having a quick chat with that with if I can get some signals. No, it's cool. All right, uh let's uh keep going. Um and then my journey, um I I categorized it as into three phases here. Uh exploratory phase, a discovery phase and then a growth phase. Um I'm pretty sure like most of the successful traders when you look at them, these are the uh phases that they usually go through. Um and uh exploratory uh phase is mainly uh starting in 2016. I would say it lasted for three years. Um the key thing here is that I would say, uh it's a strategy hopping, right? I'm trying to figure out what is my niche. So I tried with day trading, um stocks in play. Uh pretty much quickly in one year, I lost like 30% of my 20k. So it was just more of like putting your toes in the water and trying to get a feel for what the market does and how the market moves. Then I realized that, okay, day trading is not my cup of tea because um it needs basically, you need to sit in front of the computer all day and uh um looking for opportunities and that is definitely not going to be possible for me because I um I'm a full-time software engineer. I have a job and definitely it doesn't suit my uh the way that I live, right? So I started looking for a different style of uh trading, went to swing trading discretionary. So here, uh it helped me quite a bit to figure out like, hey, how does the market move? Does it move like does it go up every day or how does when does it go up? How does it go up? Uh I start learning about the market structure itself. Uh the way that uh the market moves in terms of like consolidations and then breakouts and then a huge push and then again a consolidation, trends, all that stuff. I learned it here. Again, I didn't make a whole lot of money, break even for the most part. Um still again, no consistent process or setup. But in uh after two, three years of doing this, I I started with like a pullback and breakout setups, just like anybody else. I used to be a uh boom and bust trader, where I used to make money and then when the market pulled back, I used to give it everything back. And then it caused a lot of frustration because, oh man, like I made ton of money here, but then I lost it in the next one month. Then I started realizing that, okay, I need a process to sell or just buying, uh and then there was no risk management, so it's all discretionary like, uh I didn't have I didn't know how much to buy. Uh so all that stuff. So the second phase is a discovery phase where the frustration was getting bigger and bigger. Because there's no it's there's no progress. So I was making money, losing money, making money and losing money all the time. At this point, I felt like, okay, I know I have a lot of knowledge, but there is no profits to show you for. So then I took a step back. I mean, it was a very tough time, like where I feel like I have done a lot of work here, but there's nothing to show for. There was points where like, okay, maybe I should just quit and uh do something else, right? Because it was a lot of frustration. But then I started realizing that I am trying to play somebody else's game here.
[14:50]Like, for example, Warren Buffett, right, if we take his example, he does, he doesn't do charting, technical analysis, or day trading, or swing trading, or anything. He has his own game, where he sits, probably on a desk and reads a bunch of, um, company earnings and reports and all that. So, based on that, he is able to, basically, he created his own game, where he does some things that he, uh, is good at. And that's how he makes money. So, then I realized that if you want to really make money, if I wanted to make money, I need three things here.
[15:57]One is Edge, conviction, and then the process around that. I mean, some people say psychology is a major thing, but to me, that doesn't make any sense.
[16:15]Like it's absolutely nothing for me. Edge is something very different for everybody, but once you have an edge, which is like edge, I I define usually as something that you are good at. Uh, you can do better than somebody else. That's your edge in the market. It can manifest in different ways. For Warren Buffett, it is the edge is figuring out the companies that where he knows, uh, they are going to raise in value over time and right now, they are undervalued and he can, uh, stay with them, right? So, everybody has that edge that they need to figure out. And then the conviction is also a big deal.
[16:52]Like just having that edge, uh, doesn't make you money. You need to have a strong conviction in your edge. Edge doesn't mean that you're going to make money every day, right, day in and day out. There will be periods where your strategy or your edge is not going to make money. You'll have a drawdown. And this conviction is going to make sure that you are still going to use that edge. And when the market regime or when the conditions turn in your favor, then you'll make money.
[17:28]So the edge is something like, hey, I have a sword, but then the conviction is, uh, when you can actually use it, like it'll make it'll help you stick to that edge. When the things are not in your favor. And the process is something that you need to use that edge over and over and over and make consistent money. So, all these three are very, very essential. In the discovery phase, what I did was I looked at all my strengths. Again, my strength is analyzing data, creating strategies. I have a because of all the um manual discretionary trading that I did, even though it didn't make any money, I still have a really good understanding of the market structure. Uh what works, what doesn't work in the market. Um and then I have coding skills because I'm a software engineer. I can write code and I can build systems. And then I also looked at my weaknesses. If you look at a lot of discretionary traders, they can make these decisions day in and day out for a long period of time. Um it's really hard for me to do that. I that's my limitation and that's my weakness.
[18:44]Time commitment again, uh I have family and then I have a full-time job, so, So what I did was, um, I looked at what I cannot do. After the looking at my strengths and limitations, I derived, okay, I cannot do day and swing trading or discretionary trading. I can't do individual stocks because you need to understand the technicals and fundamentals and you need to do a lot of market uh uh like a sector analysis and all that stuff to actually trade the individual stocks. Which I don't have time and I don't even have interest to uh trade those trade like that. Cannot do fundamental analysis because I don't have the background in that. Um most of the technical analysis, um I read. Later on when I actually back tested a lot of that, um none of that uh actually worked. I would say most of the technical analysis like a traditional patterns and um um the uh candle patterns and all those things. They don't have a whole lot of edge in the market. Some people make it work, but uh that's because of something else that they have, not just from a pure, uh, systematic perspective. So I I figured out that the systematic trading through index ETFs is my uh best way forward. Again, I want to do leverage because I'm not scared of drawdowns like 10, 20, 30, 40% drawdowns don't scare me. Uh I'm okay to sit through those drawdowns and let the uh system run its course. NDX is my top choice because of the uh again, I have a background in tech. I can correlate with uh um NASDAQ 100 because of all the exposure to the tech and the biotech. So I figured out TQQQ and SQQQ are the trading vehicles to go long and short. So, once I figured out all these things, then I went back and say, okay, what is my edge here? Uh uh don't want to repeat here, but developing robust and simple strategies based on timeless market tendencies like momentum and mean reversion. These are the two uh anomalies in the market that you can say they exist for hundreds of years, decades. And they are going to continue because of, uh, human behavior, right, the human psychology. People tend to have greed and fear, and that's manifest in momentum and mean reversion. So, I wanted to use my systematic, uh, use a systematic trading. Couple that with my coding skills and uh with my uh skills that I have, and that's my edge. Personally, I gained the conviction through data, through rigorous back testing. When I understood like uh how my uh strategies behave in different regimes, what is the expected behavior, that gives me a strong conviction of, okay, this is what's expected and right now, uh is my uh strategy doing the, is it working the same way that it's supposed to work, right? And uh, as I said, the conviction prepares you to continue to grind through the tough drawdowns. Everybody will have drawdowns, right? I'm I'm sure like there's no 100% sure that there's no trader without a big drawdown. This conviction is really needed during those times, and if you don't have that, you're going to abandon that and go back to strategy hopping and all those bad habits. And also, I need a process. I need infrastructure to consistently back test and execute strategies day in and day out. And white light is my tool that I uh wrote like developed and designed and wrote from scratch. Um it is a back testing as well as it does real-time uh trading for me. I I write my strategies in there. I deploy them, test them. I did I test and deploy. Um and that's where this tool is born from. Right now, I would say, when I started this, there were not many options to back test and uh deploy your strategies. Right now, there are lots of tools. You don't have to write them from scratch. There are lots of tools available in the market. Um like real test. I haven't personally used it, but I heard a lot of good things about that. Uh the new traders can directly go there. All they have to do focus is on uh essentially the strategy part of it and everything else is done by uh those tools. My tool, the code name for my tool is Whitelight, uh because it was so dark during that time, and then this was the tool that gave me hope. So, I named it as Whitelight. Uh it has back test engine. You can test multiple strategies at once. Um it does, when you run the test, it uh shows you your equity curve over a long period of time. The drawdowns associated with those and all that it spits out all the trades, so you can manually look at all those trades and again gain some insights if you want. And it also has the capability to run the strategies in real-time. It can connect to my brokerage accounts, Fidelity and Alpaca. And it gets all the data from Polygon.io. Uh it also caches all that data locally in case Polygon is down or some something happened, right? So it has some robustness and uh um fault tolerance built into it. The biggest improvement that I did in the last one to two years is sending telemetry like alerts directly to my phone, so that I don't have to really babysit anything there. So if something whatever it is doing, it will send me alerts like, hey, uh I this is this is a strategy. This is our uh positions right now. This is what I'm going to do. And it will once it does the order placements and everything, it sends me data. And if there is some issue with any of these uh uh steps here, it will alert me. It will send me a high alert. So then I can go and uh take an action uh on that. Yeah, I mean, initially, yeah, there were lots of hiccups back and forth. I fixed all of the stuff and right now, it's pretty smooth. It's been like a couple of years since I have any I had any issue with uh um execution or uh running these algorithms. So it's been pretty smooth the last two years, uh but I took me a few years to get to this point.
[25:40]Then I'm going to quickly do a demo here, uh talking about what does a real edge look like for me and the conviction and also all the process in action. I think what you're about to do now that no one else has ever done before is is actually show the process of systematic trading and how it's done. So, I don't want to, I don't want to hold you back from it. Awesome. So, um, the first thing is, I, uh, from an operational perspective, I run, uh, all this strategy in the cloud, AWS cloud. So, I have a virtual machine there. This is my virtual machine. I remote into that. And the cool thing is, I even automated when it should run. Because my strategy only runs the last in the last 10 minutes of the day. It only has to make two decisions. Basically it has to know, should I buy TQQ, how much to buy, what is the position size for SQQQ? Only two decisions it has to make. And then based on that, it'll connect to my brokerage and then places the right orders and stuff. Just stop there one second, just so I understand it only runs 10 minutes of the day, did you say? That's it. Uh because my strategy, uh even that is automated. Um I have resource scheduling, everything set up so that it automatically starts. Um 15 to 20 minutes before the market close. And um it just on boot, it does this. If you're enjoying this level of transparency from million dollar traders, hit like, hit subscribe, helps the channel more than you know to get more guests like this and more guests like this verified on Kinfo. So, like it first step is it is going to, let me see if I can zoom in a little bit. Yep. Cool. So, first step is it's downloading the data for the tickers. Uh SQQQ, TQQQ and uh NASDAQ 100, NDX. It is running my strategy right now. Um the it's called dual strategy because it can do both short and long. I used to run only the long a couple of years ago, two, two and a half years ago. It was only long long biased, but now I added in the last, I would say, one year, I have added a couple of short strategies also into this. So, it's running all those strategies against some of the data that I have. I'll show you while it is running. I'll show you the data that I have. So, if you look at this folder, like it's caching all the data. Uh let's look at the NASDAQ 100 here. NDX. NDX is the index for NASDAQ 100. So, you can see, um it's just a simple, uh date, open high low close and the volume. Volume is zero because it's an index, right? So, it is caching all the data from 1985. That's when the index actually started. And uh it knows I it already has data till uh yesterday. So, it all it is looking for is data real-time data right now. And um it got it from uh polygon.io. So, okay, let's go step by step. Um so, it got the data. It run it ran my strategy here. And these are the two critical pieces. It determined that today, my TQQQ position size should be 30% of my portfolio. Uh SQQQ position size is zero. So, these are the two critical pieces. That's it. Like those are the only two things that are important, uh at this point, for for my for me, right? So, um if I need to tell somebody that, hey, uh uh or or to myself, how much TQQQ should I be holding today, 30%? So, let's say I come in with 100% of TQQQ today, in the last 10 minutes of today, it is going to sell 70% to make sure that I only have 30%, exiting the close of the day. Um this is some extra information for me to know, okay, why 30%, but not super interesting for other people. Um so now what it is doing is the next step. It's connecting to my brokerage accounts. As I said, I have uh uh Fidelity uh a lot of accounts on Fidelity and Alpaca. So, it basically said on this account, uh I have to buy 42 shares of TQQQ. Um it it knew how many shares I already have and it said to be at 30%, you need to buy at 42 shares. Same thing for the next account. Um and then same account, it says no changes needed for SQQQ, current share count is zero. Because the today's uh share count for SQQ is zero, and I already have zero, which I don't have, it says no changes needed for that position. Same thing, it it goes to the next account, um and then determines how many shares I it it needs to buy. Now it didn't buy because it's still during that middle of the trading day. So the last 10 to 15 minutes, it knows like, okay, this is the time and then it just goes and puts in orders for them.
[31:44]And uh uh make sure that um I am closing that day with 30% of TQQQ, uh in that in those accounts. So, in a nutshell, that's what it that's what my process is. I don't like, as I said, I don't babysit this one. It it just boots itself on boot. It runs this, a lot of fault tolerance is also built into it. So if, let's say, Polygon is down, it can um it can fall back to different source of data. The only thing is like sometimes my Fidelity accounts, like sometimes the Fidelity broker itself, there are two instances where due to like in the bare market conditions there it couldn't put in orders because broker was rejecting those orders. But it could retry and then the last like it retried for five to 10 minutes and then at the end of the like the last minute, it was able to put in that trade. So, it can do a lot of uh recovery and uh from any disaster that it that you have. Even if you shut down this machine, if you let's say, if you shut down this machine right now, 10 minutes before the market close, it's going to automatically boot itself and uh do all these things. It won't let me shut shut my own uh strategy down. Nah, it's it's crazy because it it to me it looks like I haven't seen anything like this since MS DOS in 1993. But uh it's it's clearly significantly, uh more powerful and more sophisticated, but the the premise of what it's built on looks quite simple. It's not uh any hard it's not something that needs uh um a billion gigabyte computer to run it. It looks fairly simple. All it means is this data, that's it. Uh it only needs uh um this simple uh data, this file and then SQQQ and TQQQ. That's it. Um and the rest it does everything uh these are the only inputs to it. Price, right? The price is the only input here. There's no news. It doesn't do any ML or machine learning or AI or anything. It's just pretty simple. And the strategies as I said, there are seven strategies. It's running all together. And uh based on the strategy uh output, it figures out how much uh position size I need to have during that time. Yeah, I know. It looks It looks extremely simple. I don't think you're going to have any power outs or anything like that from overpowering the electricity in your house running those systems.
[34:59]Don't need too many servers, but I mean, so, how, I guess, how, are you following a process to think, okay, I want to look into this pattern. I want to look into this pattern, maybe this pattern's going to work out. How do you do that first part? And then, I suppose after you've got something in your head, you back test it for 42 years and see if it works and start tweaking with the settings. But can you just walk us through that part of how you do it? Yeah. Okay. So, when when you think of a strategy, all all I'm thinking is like, how can I model this trend? So, uh, if I represent my, um, 250 day moving average in green here, all I can say is, as long as this price is above this 250 day moving average, I say this is a nice trend here. I want to capture this chunk of money here, right? Like if I start my position here on the 250 day moving average when it breaks up, breaks out, I don't have to exit until the end here. And I made like a quite a bit of money here, right? So, if you look at my, um, Kinfo, the reason I don't have it's flat from here to here is because, I just held this trade, like, as long as I could, until the trend broke. Same thing, um, uh, here, this year, once the trend broke, and once we came about this 200, 250 day moving average, this is when I got in, and then this is where I exited. Right? So, this three to three month period has netted me like almost half a million dollars here. I didn't do anything special here. All I did was, all the strategy did was, as soon as, as soon as we jumped above this 50 day moving average, it just went with 100% TQQQ. And NASDAQ jumped almost, I would say, uh 15, maybe 20%, roughly 20% from here to here. And TQQQ went 60% in that time in just two, three months. And my, in these times, I didn't have a single trade. All I did was, I just holding on to TQQQ and boom, that's it. And then it exited around this time here. Due to, basically, the shorts and the mean reversions and other strategies also kicked in at that time. They basically figured out that the the trend has been slowing down here, so we need to get out of here. Right? That's, in a nutshell, like even before the last, um, bull market or from here to here, as I said, 2023, simple. So, you don't have to ask a question like, hey, when do I enter? Is it the bottom yet? No, you don't have to ask that question. As soon as you are above the 50 day moving average or 250 day moving average, you just go in, right? Um one one thing that I, one thing that's going to blow people's mind is none of these big runs have started without the price getting above the 50 and the 250 day moving average. That's a huge edge, right? Like, none of these. Like if you look at the history of NASDAQ, mathematically, it's impossible for a rally to sustain and be huge rally without it being above the 50 day or the 250 day moving average. It's impossible. Like you cannot have a 30, 40, 50% rallies below these moving averages. Uh sustainable averages. Sustainable rallies. Um 100%, right? Like that's your edge. A huge edge. People, that's simple. Like it's just staring right in your face. You don't have to have a fancy RSI or some kind of a, um, Ichimoku cloud or something, right? Like you don't need anything. It's just as simple as this. All you have to do is like look at the history and then see, oh, like, boom, if I enter here, I don't have to do anything until here for two years here. And you make a ton of money without doing anything. Yeah, I think on the service your strategy, anyone who doesn't, uh, do software engineering, might think that your strategy is really complicated.
[39:05]But I have a feeling that it's not as complicated as people might think. Yeah. Okay. So, let's say you write some strategy simple as simple as that, right? And right now, my strategy, as I said, like it has seven different sub strategies in them. They are all very, very simple strategies, like mean reversion, like when when your speed of the velocity of your, um, of the trend is slowing down, you need to basically take some of the money out. Right? That's a simple concept. How do you model that? There are multiple ways to model that. You can do rate of change, right? You can just all you have to do is like, let's say you're going in the car at 40 mph. If you are going to 50, now, 60, then you know that you are your, uh, you're accelerating, you're going above the speed limit and you're going faster now. All you have to do is like look at the rate of change from 40 to 50, 50 to 60. You are you are accelerating. But when you when you go from 40 to 30 to 20, then it's decelerating. You're going down. Right? So, it's a simple math, like all you have to do is like do a rate of change and you will, um, have a mean reversion strategy right there.
