Transcription
How do you create triple-digit game strategies with very simple AI scripts and TradingView? I'm going to show you how. This is Bor Slurg. Let's get into it.
Trading strategies do not have to be complicated. In fact, the best trading strategies in the world are exceedingly simple. But now, with the power of ChatGPT and TradingView, you can begin to program and model your own trade ideas without any additional help, and you can see how those trade ideas could come to life into profitable trading strategies. I'm going to show you exactly step-by-step how this is really possible. Right now, let's get into it.
Hey guys. Okay, so we've got ourselves two of the tools that we absolutely need in order to be able to create a trading system that we can then use to trade live. Right now, I have ChatGPT open, GPT 4.0. Now, I have a subscription, a $20 subscription. I recommend if you really want to do, um, AI, you pay for the subscription, but it's not necessary. You can get the free one, and it will also produce the code that I, that I'm going to show you. And we have TradingView here on the other chart with us. Study as our chart. We're going to do a very, very simple, clean moving average strategy. But remember, ChatGPT, although it understands human language, is not human. It's a computer. So you want to talk to it the way you would talk to a computer or to an engineer. Meaning that what you want to do is be very, very specific in the directions that you give it.
Right now, I'm just simply going to ask it to produce a TradingView indicator that is a moving average crossover with a 10-period moving average and a 100-period moving average, and let's see what it comes up with. So we're going to say, "Please create a Pine Script code," because that's the language that TradingView writes in, "Pine Script code that is an indicator, an indicator of two moving averages that are user-defined, meaning that the user can change those values anytime he wants. Let's start with, um, 10-period and 100-period as default. Please make labels for buy and sell at the key crossovers." And let's see what it will do.
It tells you, "Creating a Pine Script code for trading indicator using two moving averages." We'll use the inputs here, and it says here, it says, "Short input, long moving average input," right? And it's telling you that's going to plot those, um, images over here in the code. Um, and it's going to, I think the, uh, the short one is going to be blue, the long, it will be red. And the buy signal will be when it crosses over, when the short crosses over the long, um, short moving average, meaning, meaning the, um, short value moving average. And the sell will be the other way around. And it's going to just simply plot those for us. Um, let me just copy this, uh, code here and show you exactly what it's done.
I'm going to go in here. I'm just going to simply, all we're going to do is we're going to go into Pine Editor in TradingView and just literally copy and paste this code. We're going to save it, and it's going to ask us for, you know, moving average and just gives us a name, "Custom Moving Average." We're going to say, "Save." Okay. Yes. Okay. And, um, once it's moved over, we're going to say, "Add it to the chart." And now we have it added to the chart. And it actually created exactly what I wanted, which is like a, um, a buy label over here, a sell label over here, a buy label over here. However, um, what you, you see here is that you can't really see the letters "buy" and "sell" inside of the label.
So what I'm going to do is I'm going to go back to ChatGPT and say, "Make label text in white." And it's all you kind of actually need to do. So it understands that it just wants you, it's going, it wants you to modify the, the code that it's already written. So it sort of understands the conversation that you started with it. And, um, you will simply just be able to, um, to just rewrite the code. So now I'm going to just copy the code and let's see if this, this comes up and does a good job for us.
Just delete that, copy, paste it in here, save it. And look, look how cool this is. Now it's telling us "buy," "sell." You can actually see these symbols. I can get a little bigger, you guys can see, um, the labels. And, you know, here they are. They, you know, they give us all the labels, showing us, you know, buy, sell signals. And we actually have an interesting prototype of a strategy, right? So here's a strategy that, um, shows us buy, sell points on a chart or in the US3. I'm going to just simply make it autofit all data so you can actually see it here from, from the thing. You see, um, this is now, understand, I'm going to New York time zone, right? UTC minus 5. So this is US3. So if you're looking over here, this would be, um, effectively last Thursday. So, you know, oh, this is November 23rd. What is this? Oh, we're in a 1-hour chart. Ah, never mind. I'm sorry. I wanted to go on a one-minute chart. Okay, forget it. I wanted to go, I just want to go to a super, super short-term strategy. I was like, wow, we really went far.
So this is just, um, Friday's, Friday's data, which is what I really wanted, 'cause I'm going to show you how we can look at this on an intraday basis and create an interesting strategy. Already, just from looking at this, we can see some interesting developments that happen in, um, in this particular, uh, just moving average crossover. Nothing more complicated than just a moving average crossover, right? So one of the things that you see here as I'm scrolling through the data, and I'm going to get smaller here, maybe we'll go for a couple more days, right? We'll go backwards. What do you see that on the chart that kind of jumps out at you? You know what jumps out at me? See here is that basically there's nothing interesting going on, um, until about 7, 8:00 New York, maybe 9:00 New York, right? And then from 9:00 New York, what you get is really, really big, nice moves, right? This whole buy-sell move, that's an interesting move, that's an interesting move.
So what does this tell us? This is telling us that, um, New York open is perhaps the most productive and interesting, uh, time for us to look for buy-sell signals. So what if we decided to do the following? What if we said to the code, "Hey, modify this code so that it only shows me the buy-sell crossovers during a specific time in the New York time zone?" Or, you know, any time zone, but in particular during the New York open. Let's see what happens next. Like how I'm constructing the strategy on the fly. Guess what? We do this every single day in my channel. We trade live, we create new strategies, and I'd love to see you come join us. The link below gives you a big discount, so be sure to click it if you want to come join me and we'll trade together.
Okay, now we're going to ask ChatGPT to create a filter function for us, basically to say that we only want to be able to trade during specific hours, and we want that to be user-defined. We want the user to tell ChatGPT exactly when, uh, to turn those signals on and when to turn them off. So what we're going to say is, and since everything, um, in trading really trades around Universal Time, UTC time, which is GMT time, let's convert everything into UTC and then use those as our input functions. So the first thing I'm going to say is, "Please create user inputs in UTC time when the signals will be valid." Let's see if it understands that.
"To add user input for a time window in UTC during which the signals will be valid, you can use Pine Script's input function to let the user specify starting times. Pine Script handles times in Unix format (seconds). So you'll need to convert the user input to this format. Remember that trading platforms typically convert all times to the exchange time zone, so you need to account for this if you're using UTC." Here's how you can modify the script. You see how the computer knows all these things, ChatGPT, and actually walks you through step-by-step. So it tells you, "Here's, we're going to create a start hour, start minute, and hour and minute." And, um, it's going to say, "If time is valid," it's going to give you a function here. And then the buy signal is only going to occur if time is valid, and sell signal is only going to occur if, um, time is valid.
Save it here. And look, it actually created a code that filtered the time for us. You see there's no, there's only like really kind of almost quality type of filters here, right? The buy and the sells have like really nice little movements, and we're kind of ignoring all these fake buyouts or the consolidative buyouts that it's done, which is really, really interesting. Right now, once we look at the fact that the code is just now filtered by time, so it only gives us much better quality signals, we can take it even one step further. We can take a look at this and notice something very interesting. Price action tends to extend for a certain amount of time and then mean revert. What I mean by that is, like, you know, we get a good signal, there's a quality amount of profit that happens as the signal goes in, and then the signal kind of reverses, and we give up a lot of that profit.
So one of the things that we could take a look at here is you could say, you know what, what would be really, really good is if we started to clip a certain amount of pips out of this move, just by letting us know it's moved a certain amount. Let's say we want to take a 100 points, a triple-digit profit out of this move, not get too greedy, just take the clip move as the, as the move happens, and walk away with profit instead of having to just try to milk it for more and more and then see it disappear in front of our eyes. So we're going to ask the code to create the following modification. We're going to say, "We want you to go in there and create, give us a signal when it's made 100 points either up or down after a sell or buy signal, and that will give us the perfect exit opportunity to collect during the day." Let's see if we can do that.
So we're going to say, "Now look at this code and create a condition for us where if, um, the price increases by plus 100 from the buy entry or decreases by minus 100 from the sell entry, you make a label, and that label will be actually our exit label." So we're going to ask it to do that. It's actually done it for me already. So, um, let's see if it's just going to modify the script again. But the script, I, I had it wrote, wrote out ahead of time just to save us time. You can see that it modified the script here to give us a plus 100, minus 100 over here. So I'm going to copy this code. I'm going to go right back in here. We're going to, um, come back into our code editor right here, erase everything that we did before, and just paste this new code inside.
Going to say, "Save." And, um, what you're going to see, which is really, really cool, is look, "Exits plus 100, minus 100." Now, not only do we have a very interesting strategy, but we have a hardcore exit entry strategy that kind of banks profits for us in a triple-digit format. So we'll start at 8:00. So this, this particular sell signal starts at around, um, 37.25, and then on, on the, we basically going to reverse ourselves on the buy signal, right? So the buy signal comes in probably at around somewhere around here at 261. So we sold at 225 and we buy back at 261. We lose essentially 40 points. No problem. But we're now long the position, and the next exit for us is plus 100. So if we are -40 plus 100, we now make plus 60. Then we get another sell signal, and instead of just kind of waiting for the ultimate profit, we just take our profit at plus 100. And now, basically, in an afternoon, three simple trades, we've eliminated all the noise, all the garbage. We've been able to lose a small amount on, on the crossover, capture 100 points on the first crossover, capture 100 points on the second crossover. That's essentially effectively 160 points in a super easy, sneezy way.
Who tells you that moving average crossovers doesn't work? It works really well as long as you can tell the computer when and how to take the profits. And with the help of ChatGPT and TradingView, we're able to create this incredibly simple but yet very effective strategy. So look how cool this strategy works. You can see that, for example, in NASDAQ yesterday, we had a 50-point move, and then just, just before the end of the session, if we caught this buy over here, it was good for 50 and 100-point moves. These moves can be thousands of dollars on a couple of contracts. At Apex, that's very, very important to understand. For example, um, a 100-point move in NASDAQ is $20 a point. That's a $2,000 trade right here that you could have registered simply following this very, very simple strategy. Here's how it traded today, where you had a move of a 50-point, another big wave of 50-point, and then in the afternoon, if you had stayed around, you could have also had another 50-point move to the downside and a 100-point move. That's another $2,000 point altogether profit on, in addition to the, uh, $11,000 profits that you could have had here on a single large contract. That's not all. You could have also traded the, uh, the YM or the Dow, where a moves right here at 50, 50 in the morning, and then another 50 and 100-point move over here. Now, the Dow, the moves are $5 a contract, so this would have been a $500 move here today, very, very nicely done. And then yesterday, same kind of a thing. You had a 50-point move and a 100-point move altogether during this very key trading time.
So you can see how well and how efficient this strategy is. Basically, one shot, one kill. Makes a great trade in the morning, you're done. And it's a great way to go towards your target goal of getting funded with Apex Trading. Hope you guys really like the strategy. Happy to share with you. Like the indicator I just made, it's yours for free. The link is in the description below. Just click it, and I'll be happy to send it to you. I hope you really enjoy this little walkthrough of artificial intelligence of trading with me. If you think the strategy is cool and want to put it to a test in a prop trading environment, then please do so with my favorite prop trading firm, Apex Trading. The link for the discount is below. And think about this: this little strategy essentially effectively gives you possibly $1,000 in just two trades. And all you need to do to fund the $50,000 trading account is a $3,000 target. That means if you trade the strategy properly, you might be able to fund your account within a week using Apex Trading. Anyways, hope you really enjoyed. I'll see you guys in the markets. Borberg over and out.