I Lock Myself in a Room Until I Built A 35k month Trading Strategy #trading #daytrading

They say 90% of people don't make it in trading, that it's not realistic. Online share trading. Is it as easy as it looks? Day trading is a lie, it's a myth, it's a scam. I think there's some dangers. 97% of you lose money. Well, thank God I didn't listen to that. Because fast forward four years, I went from 35k to my name, to 650,000 when I was 23 years old, and my entire life changed. It took me four years, locked in my room, to build a trading strategy from effectively zero, and scale it to $35,000 a month on average. My goal with this video is by the end, you'll know exactly how I did this, so you can basically model off of it, understand the exact strategy that I used, and if you're serious about trading, lock in, learn this information, and you'll have the whole blueprint to effectively replicate this and do it for yourself. Okay, so the first thing that is so important to understand about this process is, the first time I hopped into trading, when I first started off, I was so focused on being right, finding all of these strategies and patterns that I thought were the answer to trading, when in reality, trading simply boils down to two things, and that is it. Starting with trying to predict the markets, and attaching emotion to being right, and trying to use all different patterns and all different ideas, strays away from the core concept of trading, and not building the foundation like this, is going to basically make it impossible to learn trading the right way, and it's going to delay the process a lot longer, and that is that trading simply boils down to two key metrics, okay? The first is going to be your average risk reward, and the second is going to be your winning percentage, or the percentage of the time that that happened, so let me explain. Say we're entering the market here, all we're trying to do is find situations where based off of our strategy and our pattern recognition, we're convinced that the market is more likely to move to this direction, before moving to this direction, okay? And you can see if it moves to this direction, before moving to this direction, we can make 4x what we're risking, so if we're risking $25 if it goes against us, we're making $100 if it goes in our direction, okay? And that's going to lead to something called a risk reward ratio, which you can see right here, okay? So if you have one-to-one, meaning you're risking $25 to make $25, risking $25 to make $50, risking $25 to make $75, risking $25 to make $100, $125, etc. Okay, you'll see this is the table that's going to break down your profitability based off of these two key metrics, okay? And that is all we're trying to do with trading. There's a good saying in trading, you don't get paid for being right, you get paid by being profitable. A lot of times, getting into trading, you take an emotional hit if you're wrong about something, where really, this table is the only thing that matters, okay? If you're able to nail areas like this, where you're able to get 4x the amount of profit on average, you can be wrong 7 out of 10 trades. 70% of the time you're wrong, and you'll still end up in a profitable state. So when I realized this building my system, it very much flipped the switch of trying to be right all the time, and just trying to find as simple of a system that can get me the combination of these two things, and I framed my ideology around that. Which brings me into point number two, which goes hand in hand with point number one, which is keep it stupid simple at first. Keep the system easy at first. The way people are wired is whenever you get into trading, you think you need to obtain all this information, and that the more information that you add on it, the more confidence, the more layers of confirmation on your trades, the better you're going to be at trading, The way I look at it is like when you're building a house, right? Obviously the house is going to be nicer if you have the curtains, and the interior decoration done, and the placemat perfectly, and all of your paintings hung up nicely. But you can't start with those elements. If you don't have a good foundation, good framing, good installation, you're not going to be able to even get to that phase, and that takes time. Starting simple but good, and then adding on when it's confirmed to you is the way to go about it. Most people go about it the absolute opposite way when they're first starting off. You'll realize about trading, and what I realized throughout this process is trading is actually more simple than people think in certain ways, and more complex in other ways. The complexity of the strategy has nothing to do with trading really. What has to do with advanced trading is understanding that it all comes down to your mind, and your ability to act the way you need to act when you do statistically to give yourself that edge, okay? The trader who is highly profitable, and the trader that is not profitable, probably know the same, if not the unprofitable trader knows more about trading, more about analysis, more about strategies, and the better trader is able to execute when they need, and it's all up here, and I'm going to get more into that in a second, but the first step of that is keeping the system simple, okay? So say we have a strategy, right? Where, once again, going back to this example, say we have a strategy to try to find these areas where we can get four times what we're risking if it goes in our direction, okay? So we have a checklist, rule one, rule two, rule three. If we have, say, a bunch of rules, where after rule one, we're looking for one thing in the market, or sometimes we look for another thing, and then we go to step number two, and sometimes we're looking for this, and sometimes we're looking for this. In order to actually track what you're doing and how it's working, having all of these different combinations makes it exponentially more difficult to quantify the result of it and figure out whether it's working or not for you with each step that you add. If you're an advanced trader, you can add elements to this because you understand that your framework works, and you're trying to add things to boost your win rate, improve your process over time, but when you're first starting out, this is going to be impossible to track nearly and impossible to replicate consistently. Whereas this strategy, where we look for one, two, three rules, if those rules confirm, we take the trade. This is going to allow us to be easily repeatable, and when we can be easily repeatable, we can identify if we're starting to see an edge in the market, and it's gonna give us a beautiful foundation to then later add all of these different steps, but already off of a solid framework that we know actually works or is close to working. A lot of people think that they're just gonna jump into this and it's gonna work immediately. It's a process for you as an individual, but the more simple you keep it at first is going to allow you to just add onto that good framework and advance it over time. And just remember, more complex does not mean better. The complexity in trading comes with your ability to execute when you need to and not get emotionally involved with the trading. That's the biggest part. The third part of this process that I followed was something called backtesting. Now, backtesting is basically going through the process that you build, this system that you design, and testing it out theoretically over previous data to figure out what return you would have got had you have just followed those simple rules without modifying anything. In statistics, there's something called the central limit theorem, which requires a certain sample size to be able to get something called statistical significance. Now, without going into too much technical detail, in simple terms, what this is showing us is basically we need enough data to be able to prove an edge over time. So let's take a coin flip, for example. If I flip a coin two times, maybe we land on heads twice, right? But is the probability statistically 50-50 between heads and tails? Yes. Does that mean that we can't get five heads in a row or four heads and one tails in a row over, say, five flips? Of course. But if we were to flip that coin 2,000 times, what you're gonna see is the data narrowing in on that 50-50%, okay? So this is a good example of that. Say we take an example of four coin flips. You can see if this is our 50-50 average, we can have this data be lopsided towards one side. Like I said, maybe we're getting more heads in that situation. Whereas if we do this over 100, 200, 300 different coin flips, yes, we're gonna have outlier data. But overall, what's going to happen is we're going to get an even bell curve distribution right here. And this is going to increasingly narrow to that 50%. And the goal of this 50% is to give us the data on this table. How often are we right? And how much are we making on the trades when we're right versus when we're wrong? And all this is going to do is show us where we need to be in order to be on the profitable side versus the non-profitable. Okay, so when I first got into trading, I was not tracking anything. I was just going from strategy to strategy, being like, why isn't this working? I was losing money and I would continue to run with something if I was making money and then it would blow up. And it was very discouraging and confusing because I didn't understand how to approach it from this. It took me years and years and years to be able to figure out that I need to approach trading like this. Everybody collectively watched this video and just approached trading the way I'm showing you right now. We would have so many more successful traders and there would be so much less BS and loss, but it's just hard to get there. It's hard to get that information. That's why I'm trying to share it with you today. If you appreciate that, make sure you hit the like button. But anyway, so we can execute this backtesting with something called a trading view. Now trading view is where I'm doing all of my charting. This is where you can basically do all of your trade analysis. It's basically the hub for trading. So say you have a chart. What I can do is go up to this top menu here once you have your chart all set up and I can click on this replay feature. Okay, so I can have a few options. I can click into this menu and you can see I can either randomize or I can select a date or I can select a bar. So I can literally scrub back here, click at this level and say, I just wanna trade the last day's worth of information to see what the outcome would be following my strategy. Instead of sitting there and spending weeks and weeks to test a strategy in real time that doesn't actually work over time. What you can do is you can play this forward one candle at a time and say, my strategy, super simple. Okay, this isn't gonna maybe make much sense to you, but I'll just show you. For example, say I'm just looking for the first, what's called fair value gap that price is going to pull into. So say we have one, two, three of these candles. We're waiting for a gap in between and then we're waiting for price to pull into those and continue moving out. Say we're waiting for the first one to be able to get in in the middle of and then play that one to four risk reward that I was sharing with you. So we're waiting for our fair value gap, which you can see we get here. We're entering in at the middle, placing that risk outside of that fair value gap candle. We're going up to a one to four. So I'm clicking on this long button here and clicking where I would have entered, setting my stop loss below this candle to set my risk. I have a one to four risk reward and then the market comes up and closes me out. And now I have plus four. Okay, and you'll notice all I'm doing is calculating plus four. I'm not even focusing on a dollar amount because chasing after money and focusing on a dollar amount is the last thing that you want to do while you're learning trading. And honestly, in the beginning, when I was going through this process, I was focused so much on money. Whereas once I started focusing on just treating it like a game and looking at this as negative one and this as plus four, now it simplifies the whole entire game where you can focus on the mechanics of it after, but all you're focusing on is your average R. This is what professional traders are focusing on. They're not focusing on dollar amount. The dollar amount doesn't matter. If I grow a hundred dollars into a thousand dollars, it's extremely compressive statistically, but the thousand dollars, I can make a thousand dollars in a couple minutes just on a bad trade, for example, right? It has nothing to do with money and all to do with performance. And this is what allowed me to start focusing on performance. Let's say we had plus four on that session, but let's say we wanted to replay the previous session. We can go all the way back. Okay, and I click on the beginning of yesterday's session and we can trade the same thing. Okay, so we have our first gap filled here. Stop loss would be placed here, comes into our entry, almost comes up and takes us for full profit and then comes out and actually gets us out for a loss. So this would be negative one. So now in a few minutes, I've been able to go over two days worth of my trading and figure out that I would have ended up positive three units of risk. And in order to help you guys, I actually built out a notion page where you can actually go through, create all of these cells, add the date that you tested, the day that you traded on, what instrument you were trading, whether it's crypto, future stocks, doesn't matter. The strategy that you were using and you can customize all of this, whether it was a long or short, as well as the amount of risk on the account, whether it was a win or a loss. And that's going to show you your total profit, your total R factor units, as well as you can click on this button, open it up and put screenshots of your trades in here. And what that's going to do is allow you to collect a bunch of information for yourself and see if this is a positive value over time. Okay, and you'll be able to look at it and see if your strategy actually works. And this is the whole principle behind backtesting. Once I started bringing this into my trading, I stopped wasting time on strategies that didn't work. And I was only focusing on scaling strategies once I figured out that I had an edge based on the way I was trading it on my instruments. And then I moved on to the next steps of scaling that we're going to get into in a second. If you want access to this, you can click the link in the description, as well as get access to all of the other trade tools that I use. So you can check out those resources if you're interested. Okay, so once I had this figured out, what I was using was something called percentage scaling. The way I trade right now is basically I'll risk $2,000 and I'll hope to make 8, 10, 12, $15,000 when I'm right. On average, I'm able to make 3.96 what I'm risking on my trades. Sometimes it's a lot more, sometimes it's less. My win rate hovering around 50, it's a little high right now. Typically it's around 40 to 50%. So it's well profitable over time. But when you're first growing an account, percentage scaling is going to allow you to increase your per trade risk. So that risk factor when you're winning and it drops the risk when you're losing. Okay, so let's go back to this example here. Let's say we start with $100 account and we're placing this trade. Say we want this area here to account for $5 of risk, which would be 5%. If I lose that $5, now for the next trade, we're taking 5% of that account, which is going to now mean that we want to risk 4.75. So we're actually systematically reducing the amount of risk that we're taking if our account starts to shrink so that we don't snowball out of control when we're focusing on growing an account. Say this trade actually won and we're able to make four times what we're risking. So 20, so this would be plus 20. Now same situation, we're taking 5% of that and now we're actually risking $6 per trade. So say we were to make four again, that would be 24 plus the 120. So say we have two back-to-back wins. Now we have 144 of our balance. We're taking 5% of that. Now we're risking 7.2. And when I did that over time, I found that it took a lot of the emotions out of it where I go on a losing streak and I'm worried because I'm continuing to chip into the account. Okay, what this would allow me to do is take the direction of the account. If we're trending up as a balance, we're risking a percent of a larger balance, which is a higher dollar risk. And that's going to accelerate the growth when we're moving up, when the account has momentum. That's gonna get cycled back into the account balance. Okay, if we're trending down, we're systematically risking a lower amount on the account, lower dollar amount. That's capital preservation going back into the account. And this system is going to allow you to be able to scale smaller amounts of capital. At the end of this video, I'll put another video that I made about scaling $100 into 10,000. If you're interested in that, like I said, I'll put that at the end for you as well. Okay, and just as an example of this, basically I put my own trading performance year to date into a calculator, calculating starting with $1,000 and risking 2.5% of the account per trade. So you'll see if we started theoretically with the $1,000, we're risking $25, which is 2.5%. And I just used a randomizer to randomly insert wins and losses based off of my real trading statistics. And you'll see this first trade was a win. So you'll see the total R made was my exact average. I even calculated this with fees so that it's realistic. And you'll see the profit on the account gets rolled in. And then the next risk on the trade is increased to 2.5% of that new balance. And you'll see over time, the risk per trade scales up, down, down, up, down, up. And it keeps going back and forth, but gradually goes from 25 to 35, back down to 30 to 20. And then eventually ends up at $50. Then eventually ends up at $100 per trade risk. And then after a hundred trades at 2.5%, the per trade risk is $233 off of a $9,300 account balance. Okay, so once I started scaling my trading like this, I started applying this into crypto. I started putting my trading strategies to work, and that's where I was able to take that $25,000 and turn it into almost $650,000. That was before losing 160,000 of it in the Luna accident, but we're not gonna talk about that. Still nonetheless, as far as applying this scaling mechanism, that is the best way to do it. Which brings me to the fifth step in my process that I followed, which was focusing only on the process on the system, then worrying about adding capital to it later. Okay, you can only simulate so much. What I would recommend is use the simulation to build the strategies, to understand that your model is working, and then immediately switch to a very small amount of live capital, $100, $200, a prop firm, and just be able to play around with the actual feeling of executing the trades, interacting with the market and feeling the fees, but also feeling how the emotions trigger you. So starting with that small trading account, execute the small trades. Once again, continue to track the performance in the live markets, make sure that you have positive expectancy, so a positive average amount of risk. So you're actually making money over time. Okay, and if you're not in the live markets, but you are in the simulated markets, now you have it narrowed down to exactly where the problem is. And it's usually a psychological problem. It's either that your strategy wasn't profitable enough to be able to still be profitable while you're paying fees in the market, or it's that you're executing differently now that there's real risk on the table. Okay, it's important to remember going into this is that when you're starting to trade live, don't expect yourself to actually be profitable. What you need to do is focus on receiving the information and then being able to use that information compared to your data and your strategy that you know works and figure out where the disconnect is. Only treat it as information. And then once you have that dialed in with a small account, once you have the positive expectancy and you've nailed that, and you start to see growth, this is where you can simultaneously be adding capital to the process. Okay, what I did in the beginning, once I figured out that I needed to build this simple system and then calculate how it would work over a large sample size, then I started trading it in real markets and scaling it. As soon as I saw for a couple months that I was able to scale a small amount into a larger amount systematically, I was literally working at the same time as a bartender and I was doing government security for Space Force at the time. I was taking all of that income and shoveling this back into the process once I had proof of concept. I'll never forget people at work, I was telling them what I was doing. They thought I was crazy, but I was like, I'm taking $2,000 this month and I'm adding this into this process because if I'm able to go from risking $100 to $200 per trade and I'm able to make five R in a week, that's another $1,000 a week for me. And they were like, what are you talking about R? I was so obsessed with the process that then it was exciting to add capital into that system, but the framework was built around good process and execution off of small amounts of money, starting with that small amount of capital so that I wasn't getting emotional about it and I was gradually scaling to be fully comfortable. That allowed me to continue to build up this process. Build the process first, add the capital later. One thing that I ran into and this is something that I still have to mentally combat, everybody's going to have their own thing. Trading is a very mental game, but throughout this process, I would notice that I would have really good trading performance with small amounts of capital or in simulation. Then when I would get into the live markets, I would end up trading and then I would be making changes because I was like, oh, well, I want to be a little bit more careful. This is a lot of money, so I don't want to take this trade because it's not a perfect setup. I started changing my behaviors. It was getting me a result in the models and in the data, but not in the live trading. Okay, so the common issues that I've seen from, I've coached hundreds of different traders at this point and I would say these are the most common things that I notice at this key point where a lot of people end up getting stuck and that is changing how you act to be more careful when you're trading live capital, especially when the capital grows. In our minds, it sounds logical, say to be like, okay, well, I want to take only the best trade setups now that I'm risking a bit more or I'm over my profit target. Now I can start taking a payout or something, so I'm only going to take a trade if it's really, really perfect. The whole time you're trading, you should be taking only the trade setups that are perfect. Okay, so if you're now deciding that you're only going to take the perfect setups, you're doing something differently than what the result was off of this data in your live trading and I call this the glass equity ceiling fallacy. I've coined this name. I don't know. We'll see if it catches on, but basically it's when you hit a barrier in your account because of purely psychological reasons. There's no reason why the account balance should not grow the way it should based off of the data. It's purely how you're executing it over time. Okay, the second biggest issue that I faced while I was scaling this in a live market was risking less because I was on a losing streak. This is a question that I get a lot. Oh, well, I've lost a lot of money, so should I back off a little bit and trade with smaller size until I get back on track? The problem is, this is a really vicious cycle. Say, for example, you lose five trades in a row, so you're just constantly starting to lose and this is where you're at with your journey. You're technically underperforming, right? Then you finally decide it's gotten so bad, I'm going to reduce my risk and just risk half of what I'm risking and say the next trade is a winner. This equity curve that you've calculated based off of data didn't account for you dropping risk if you have a bunch of trades in a row being losers. This is why using that percentage scale is so important when you're growing up capital. You were literally relying on the fact that you need these big winners in order to drag you back to the average that you knew you could perform at, but if you're risking half, now your winners are half as big and all of your data is completely different. So you want to make sure that it's calculated in that you're not making any random changes based off of emotion or discretion in your live trading that wasn't accounted for in your models. This is a business model. Trading is a business. The third thing is being afraid of losing, which is going to trigger an emotional response for you to act differently and this is typically because the amount you're using is too high. Even if you're scaling on a percentage and it starts to get too big, you can then slice the percentage risk on the account that you're using, say in half, and then go from there. But don't do it during a losing streak to try to correct the system from not working. Do it if you've scaled the capital and you want to be in a more of a preserved state. So say you go from 100 to 500 and you care more about losing the 500 than you did with the 100. So maybe while you were trading the 100, you were risking 5% all the way up to the 500 and now you get to 500. Say you want to cut that risk in half again. Now you're still risking basically what you were risking before at the start, but now you're preserving that capital that you've grown so that a losing streak isn't going to eat into your profits, but you're still scaling dynamically based off of the growth or drawdown on your account. If you're ever risking too much capital, if you're ever feeling emotional over losing an amount of money, you're still not detached from that fully and you need to risk less amount because it's going to make you act emotionally. And the fourth, this is one of the most important ones for me actually, is the fallacy of taking profits too soon to quote unquote lock in gains. I was always told in the beginning of my trading career, this is the worst piece of advice that I was given from people who don't know what they're talking about, which is no one's going to blame you for taking profit or if you have profit on the table, take it. This seems like good advice because obviously you want to have winning trades and you want to make money as a human. But what that's not accounting for is the fact that you need to let your trades run based off of the data that you had before to keep you on the equity curve and the performance of the data. If you start taking profits too soon because you're scared of having it go all the way against you and lose, OK, you're not following the system that once again gave you the data to move forward and now you're starting to modify things. And all of these things are going to give you that glass ceiling equity curve that I talked about. Be aware of those things that you're doing differently and then try to nip that in the bud based off of following your system and having that discipline. That was one of the biggest things for me to be able to break into a higher range of trading. OK, before we get into the system that I've been using and how that works, the last part of this process, which is one of the most important things is to not chase the dollar amount goal per day. It's very tempting and intuitive for humans to be like, I'm going to trade five days out of the week times for 20 days. I want to be able to make $300 a day. So that means that I need to make $6,000 in order for me to make that $6,000 per month. I need to be able to make $300 per day. And what they'll do is they'll chase after that daily profit amount. But in trading, you're going to have back to back days where maybe you lose money or maybe you don't take trades because your setups aren't there. Right. So say, for example, you have to make $300. You lose $200 the first day. That means that the next day need to make $800 in order to be back on pace because you make another $300 plus the previous day's $300 and then recoup the $200 loss and you eventually spiral out of control trying to chase after this daily goal. Instead, this is how you can figure out in order to get to your income goal, how much you need to risk per trade. And this can either be done through that scaling mechanism. So you know exactly what you need to start with to be able to get to a certain dollar amount risk to get to your goal. Or if you just want to risk a certain dollar amount, say you're using a prop firm, this is going to show you that exact amount. So in order to hit our goal, we need to focus off of process based goals. OK, so what we want to do is figure out not per day what our goal is, but how many days we aim to trade, say, for a set period of time. So say a month and then over that month, how many are multiples are we making? Like we were talking about before on this trade example, say this were to go to full profit that actually did hit our full profit. Oh, that's an L. Anyways, the funny part about this is this actually did hit our one to four. So that would be eight risk factors, but just the strategy. Anyways, doesn't matter. OK, so let's say, for example, on this trade that should have been a win making four risk factors. OK, we need to figure out based off of tracking our data, how many risk multiples we're making over that set period of time. So say over 20 days, I'm able to make seven R in total. And my goal is to make nine thousand dollars per month. Now we're just dividing the total amount that we're aiming to make over the total R that we know our process yields to be able to determine what our risk per trade needs to be to get to our goal. And so now we're not focusing about the outcome of each individual day. All we're doing is basically reverse engineering that goal to make it so that by default, we're going to hit our goal because now we know we need to get to a point where we're risking twelve hundred and eighty five dollars per trade in order to get to nine thousand dollars total, which is going to get us to whatever that amount is per day. OK, so now this makes it realistic. It gives us a path to actually follow to get to that amount. And it makes us focus on the right things, focusing on the process only to default, get us to that money goal. And now we're not doing the stupid thing of chasing a dollar amount for the week or for the month or for the day. We're just focusing on the process and adhering to that process as closely as possible. OK, so now I'm going to go into the strategy that I use on a daily basis. And I'm going to show you my year to date performance. OK, so the first thing that I'm doing is waiting for nine thirty. You can see where this gray section ends. That's where the New York Stock Exchange down there opens. And that's going to increase the amount of movement in the market and open up opportunity. What I'm waiting for is something called a shot or a change of character. OK, so what I'm trying to identify is price generally moving up or down. And then if we have a level here, a lower level here, we now have a new higher level here that comes over this area. And that to me is going to be my change of character. What I want to do is wait to find the first high impact fair value gap. OK, and what a fair value gap is a series of three candles, one, two, three candles where the high wick of the first candle and the low wick of the third candle do not overlap, leaving this green box area right here, whether it's in the up or down direction. In this case, we're breaking to the upside. So this is a bullish fair value gap. And what I want is to have that fair value gap significantly push through this previously not broken area after our change of character area. OK, and that's where I'm going to be waiting for a retracement into the middle of that fair value gap. I'm setting my stop loss or that risk outside of this candle area. I'm waiting for price to revert into the middle of this, placing my stop loss once again outside of that area. And I'm starting with a target at a one to four risk reward. OK, but what I'm doing is it once we get a pull back into this area, I'm marking off this level and I'm waiting for candles to close above this area in order to reduce my risk to my break even zone. So that takes risk off the table. So I'm moving my stop loss up when I'm confirming that this is a new trend, because if price wants to come down and break underneath this area, that's now confirming to me that this trend is no longer moving in an up direction and it's creating the change of character. So it closed underneath this low in the opposite direction and it's time for me to leave out of the trade. And what this allows me to do is find the very beginning of new trends and allow this to move significantly more in my direction than what I'm risking. Sometimes I'm able to make eight, ten, twelve times what I'm risking, which makes it so that I can lose ten trades in a row after that, which is not likely. And still be able to be break even. OK, and what that's doing is allowing me to really keep my losers contained and allowing my winners to run. OK, so let's take this trade as an example. You can see I've waited for price to push up over this swing point, creating that change of character. I'm waiting for my first available fair value gap. You can see position comes down immediately into that area, responds beautifully off of it and starts to flip over it. It starts to flip in the opposite direction. OK, notice how we didn't break over that high yet. So I didn't reduce my stop loss to break even. We respond off of that entry level again. We finally close above so you can see my stop loss move up. And you can see if this hits my full take profit, I'm making six point eight times what I'm risking on the individual trade. OK, you'll see takes time, but I'm just being patient and I allow the trade to move up in my direction. OK, I do end up taking it off a little early, but this is well outside of that one to four that I require myself to have. OK, you can see another example of my trade here. I'm waiting for the confirmation of the change of character. I enter into my position. Price responds off of that area, continues to push down and eventually moves down, goes to my full take profit. OK, but this took a long process for me to be able to scale to the point I'm at, but it doesn't necessarily need to take that long so long as you have the proper framework. So if you follow along with this video, get the resource with the trade journal, figure out a strategy that works for you and then test this and dedicate six months to this, you can then actually set up a profit goal for yourself and an objective and have a clear roadmap of actually how to achieve it, which is how I've been able to scale up to my goal and continue scaling and help thousands of people on my private trading team work on this exact process as well. OK, trading is a business and needs to be treated that way. If you want to get started on this, you can check out the description and get the resources. OK, make sure you hit the like button, subscribe if you want to know when I put other videos out. As promised, this is the video I made about scaling 100 into 10,000. If you want to start with this process, I put the free resources in the description for you as well. If you're interested in our team, you can check that out right here. But until next time, I will see you all in the next video.