WEBVTT 00:00:00.000 --> 00:00:01.840 Imagine a world where you could automate some 00:00:01.840 --> 00:00:05.280 of the most complex, high -stakes tasks in your 00:00:05.280 --> 00:00:07.799 life. What if you could build a system, almost 00:00:07.799 --> 00:00:11.179 entirely without code, that delivers truly remarkable 00:00:11.179 --> 00:00:14.220 results? We're talking about a strategy that, 00:00:14.300 --> 00:00:16.839 in backtesting, that's simulating its performance 00:00:16.839 --> 00:00:19.100 on historical data to see how it would have performed, 00:00:19.280 --> 00:00:23.160 could yield up to, say, 22x returns. This isn't 00:00:23.160 --> 00:00:25.359 just some hypothetical dream. It's actually a 00:00:25.359 --> 00:00:28.719 very real blueprint. Welcome to the Deep Dive. 00:00:28.899 --> 00:00:31.059 Today, we're plunging into the fascinating world 00:00:31.059 --> 00:00:33.659 of building AI -powered trading strategies, and 00:00:33.659 --> 00:00:35.100 we're going to walk you through how to do it, 00:00:35.140 --> 00:00:37.179 step by step. That's right. We're talking about 00:00:37.179 --> 00:00:39.039 tools you might already know, actually. TradingView 00:00:39.039 --> 00:00:41.240 for charting, Pinescript, which is really just 00:00:41.240 --> 00:00:43.899 a simple scripting language for those charts, 00:00:43.960 --> 00:00:46.600 and of course, ChatGPT. The cool part, you absolutely 00:00:46.600 --> 00:00:50.439 don't need a PhD in computer science or a Wall 00:00:50.439 --> 00:00:52.920 Street background. Just curiosity. Our mission 00:00:52.920 --> 00:00:55.640 in this Deep Dive is to demystify the whole process. 00:00:56.890 --> 00:01:00.270 How you conceptualize, build, debug, and then 00:01:00.270 --> 00:01:02.409 really optimize an automated trading strategy. 00:01:02.789 --> 00:01:05.810 We'll follow a real -world example that, in backtesting, 00:01:05.930 --> 00:01:08.650 first generated an impressive 11x return on Bitcoin. 00:01:08.909 --> 00:01:11.629 Right. And then, after some thoughtful AI optimization, 00:01:12.109 --> 00:01:16.700 soared. to an astonishing 22X. Yeah, we're going 00:01:16.700 --> 00:01:18.659 to cover the whole journey from that first spark 00:01:18.659 --> 00:01:21.379 of an idea to finding the right indicators, using 00:01:21.379 --> 00:01:24.000 AI to actually write the code, then debugging 00:01:24.000 --> 00:01:25.500 the glitches, because there will be glitches, 00:01:25.519 --> 00:01:28.219 rigorously testing, improving it piece by piece, 00:01:28.340 --> 00:01:30.400 and finally stress testing it all before you 00:01:30.400 --> 00:01:32.180 even think about putting real money on the line. 00:01:32.260 --> 00:01:33.980 It's basically a full roadmap for something that 00:01:33.980 --> 00:01:36.340 sounds complex, but well, it doesn't have to 00:01:36.340 --> 00:01:38.140 be. Okay, so let's unpack this. The first step, 00:01:38.200 --> 00:01:39.819 and I think it's often overlooked, is really 00:01:39.819 --> 00:01:42.340 visualizing success. before you write any code 00:01:42.340 --> 00:01:44.319 it's almost a philosophical starting point isn't 00:01:44.319 --> 00:01:47.099 it it absolutely is we call it dream first code 00:01:47.099 --> 00:01:49.640 later you know most people get excited about 00:01:49.640 --> 00:01:52.719 some cool indicator and just jump straight into 00:01:52.719 --> 00:01:55.000 coding that's like starting a road trip without 00:01:55.000 --> 00:01:57.420 knowing where you're going it's just inefficient 00:01:57.420 --> 00:02:01.269 frustrating right so instead the idea is to open 00:02:01.269 --> 00:02:04.170 TradingView, the charting platform, pull up a 00:02:04.170 --> 00:02:06.230 chart, maybe Bitcoin, maybe something else, on 00:02:06.230 --> 00:02:09.050 a higher time frame, like daily or weekly. Then 00:02:09.050 --> 00:02:11.430 you literally just draw circles on the chart 00:02:11.430 --> 00:02:12.849 where you wish you had bought and sold in the 00:02:12.849 --> 00:02:15.219 past. Exactly. And this isn't just daydreaming. 00:02:15.280 --> 00:02:17.719 It's serious planning. You're basically creating 00:02:17.719 --> 00:02:22.340 a job description for your AI. You're showing 00:02:22.340 --> 00:02:24.699 it, look, this is what success looks like. Build 00:02:24.699 --> 00:02:26.840 me something that does this. We want to buy after 00:02:26.840 --> 00:02:29.319 a clear uptrend starts, sell when it looks like 00:02:29.319 --> 00:02:31.919 it's reversing, stay out during those nasty bear 00:02:31.919 --> 00:02:34.860 markets, and only get back in when a new bull 00:02:34.860 --> 00:02:37.319 run looks confirmed. It's about riding confirmed 00:02:37.319 --> 00:02:40.479 waves, not predicting exact tops or bottoms. 00:02:40.599 --> 00:02:43.439 Let the market show its hand first. That dreaming 00:02:43.439 --> 00:02:46.139 first idea really changes things, doesn't it? 00:02:46.219 --> 00:02:48.180 It sounds simple, but why do you think it gets 00:02:48.180 --> 00:02:50.479 skipped so often? And what's its real power? 00:02:50.719 --> 00:02:53.439 It creates that visual roadmap, that north star 00:02:53.439 --> 00:02:56.960 for your AI. It defines success clearly up front. 00:02:57.180 --> 00:02:59.719 Okay. With that visual map in mind, the next 00:02:59.719 --> 00:03:02.860 step is finding the engine for the strategy, 00:03:02.960 --> 00:03:04.719 the base indicator. This is where we start making 00:03:04.719 --> 00:03:07.680 the dream concrete. Precisely. With that vision 00:03:07.680 --> 00:03:10.300 locked in, now we hunt for the right engine. 00:03:10.830 --> 00:03:12.830 Think of it like indicator shopping on TradingView. 00:03:13.009 --> 00:03:15.129 You're looking for something reliable, understandable, 00:03:15.550 --> 00:03:18.030 and crucially, something that lines up with those 00:03:18.030 --> 00:03:21.060 ideal buy -sell points you marked. For this example 00:03:21.060 --> 00:03:23.379 strategy, the Williams alligator really stood 00:03:23.379 --> 00:03:25.800 out, developed by Bill Williams, a trading legend. 00:03:26.020 --> 00:03:29.000 It's surprisingly elegant. Ah, the alligator. 00:03:29.300 --> 00:03:31.900 Call that because it uses three smooth -moving 00:03:31.900 --> 00:03:33.960 averages that look kind of like its jaw, teeth, 00:03:34.080 --> 00:03:35.900 and lips on the chart, right? It's a vivid picture. 00:03:36.080 --> 00:03:39.099 Exactly. You've got the jaw, the blue line, slowest, 00:03:39.120 --> 00:03:42.039 showing the main trend, the teeth, red line, 00:03:42.180 --> 00:03:45.060 medium speed for intermediate changes, and the 00:03:45.060 --> 00:03:47.460 lips, green line, fastest, giving those initial 00:03:47.460 --> 00:03:50.780 signals. The logic is super simple. Mouth open 00:03:50.780 --> 00:03:53.740 lines spread. Moving up means it's feeding on 00:03:53.740 --> 00:03:56.439 an uptrend. When the lines cross and bunch up, 00:03:56.500 --> 00:03:59.379 the alligator's sleeping. Time to stay out. And 00:03:59.379 --> 00:04:01.240 often its movements just line up beautifully 00:04:01.240 --> 00:04:03.379 with those points we marked in the dreaming stage. 00:04:03.659 --> 00:04:06.560 It visually confirms the market state. That sounds 00:04:06.560 --> 00:04:08.819 really intuitive. The visual of the alligator 00:04:08.819 --> 00:04:11.460 opening and closing is clear. But how do we get 00:04:11.460 --> 00:04:13.810 an AI to actually, you know... read that and 00:04:13.810 --> 00:04:15.469 turn it into buy and sell orders. That's the 00:04:15.469 --> 00:04:18.069 next step. We use ChatGPT to translate that visual 00:04:18.069 --> 00:04:20.910 logic into specific coded buy -sell rules. Right. 00:04:20.949 --> 00:04:23.850 This is where the AI magic really kicks in. Using 00:04:23.850 --> 00:04:27.029 ChatGPT to turn a passive indicator into an active 00:04:27.029 --> 00:04:29.810 back -testable strategy, outsourcing the heavy 00:04:29.810 --> 00:04:32.310 lifting. Exactly. This is where the AI becomes 00:04:32.310 --> 00:04:35.430 your co -pilot. In TradingView, you find the 00:04:35.430 --> 00:04:37.649 Williams alligator, click the little source code 00:04:37.649 --> 00:04:39.569 icon, it looks like, and that opens the Pine 00:04:39.569 --> 00:04:41.910 Editor. You'll see all its code. Now, don't panic. 00:04:42.050 --> 00:04:44.009 We're not coding this ourselves. We let the AI 00:04:44.009 --> 00:04:46.430 handle the translation. And for this, a good 00:04:46.430 --> 00:04:49.170 prompt is key. You copy that Pinescript code, 00:04:49.370 --> 00:04:52.009 head over to ChatGPT, the paid plus version, 00:04:52.129 --> 00:04:55.089 GPT -3 model, tends to work best for code. It's 00:04:55.089 --> 00:04:57.629 more reliable. Yep. Then you give it a detailed 00:04:57.629 --> 00:05:00.310 prompt. Start with role playing. You are a skilled 00:05:00.310 --> 00:05:02.930 Pinescript version 6 developer. Then specific 00:05:02.930 --> 00:05:05.810 rules. Go long when the green line crosses the 00:05:05.810 --> 00:05:07.910 blue line going up. Close long when the green 00:05:07.910 --> 00:05:10.649 line crosses any other line going down. Now, 00:05:10.709 --> 00:05:13.069 that exit rule, we'll improve that later. It's 00:05:13.069 --> 00:05:15.009 a bit too eager to sell initially. And you also 00:05:15.009 --> 00:05:16.569 give it critical instructions, right? Convert 00:05:16.569 --> 00:05:19.029 indicator code to strategy code. Keep the time 00:05:19.029 --> 00:05:21.629 frame logic. Fill any gaps. Plot the signals 00:05:21.629 --> 00:05:24.810 clearly. Tell it only long and flat, no shorting 00:05:24.810 --> 00:05:28.069 to this one. Specify backtesting settings. Initial 00:05:28.069 --> 00:05:30.790 capital. Commission. Slippage. Make it realistic. 00:05:31.269 --> 00:05:34.009 And importantly, tell it to avoid functions that 00:05:34.009 --> 00:05:35.990 might cheat by looking ahead, like look ahead. 00:05:36.069 --> 00:05:39.079 That gives fake results. Add star 10 dates for 00:05:39.079 --> 00:05:42.259 the back test, maybe Jan 1, 2018 to way out, 00:05:42.319 --> 00:05:45.759 descent to 31, 2069. And finally, maybe prepend 00:05:45.759 --> 00:05:47.959 AI to the name so you know which one it is. Yeah. 00:05:48.019 --> 00:05:50.379 And honestly, I still wrestle with prompt drift 00:05:50.379 --> 00:05:52.600 myself sometimes, getting the wording just right 00:05:52.600 --> 00:05:54.639 so the AI understands exactly what you mean. 00:05:54.699 --> 00:05:56.740 It's a skill. But OK, once the AI spicks out 00:05:56.740 --> 00:05:59.620 the script, copy it, paste it into a new training 00:05:59.620 --> 00:06:02.259 view strategy in the Pine Editor and hit save. 00:06:02.579 --> 00:06:05.000 So simple copy and paste and boom, perfect first 00:06:05.000 --> 00:06:08.360 time. Flawless strategy. Light chuckle. I wish. 00:06:08.660 --> 00:06:11.620 That's the dream, right? But here's the reality 00:06:11.620 --> 00:06:13.519 check, and where people often get discouraged. 00:06:13.899 --> 00:06:16.720 AI code rarely works perfectly first try. It's 00:06:16.720 --> 00:06:19.439 not a failure. It's just, well, it's part of 00:06:19.439 --> 00:06:21.939 the process, the iterative dance. And honestly, 00:06:22.120 --> 00:06:24.920 debugging is where the real learning happens. 00:06:25.000 --> 00:06:27.600 That's right, the reality check. AI code needs 00:06:27.600 --> 00:06:31.000 debugging. It's normal. It's expected. It's a 00:06:31.000 --> 00:06:33.860 collaboration. Absolutely. Expect error messages 00:06:33.860 --> 00:06:36.279 in TradingView's Pine Editor. Don't freak out. 00:06:36.439 --> 00:06:38.620 This is where the AI becomes your debugging buddy. 00:06:38.980 --> 00:06:41.819 Just screenshot the error, upload it to ChatGPT, 00:06:41.879 --> 00:06:44.000 and say something simple like, this code gave 00:06:44.000 --> 00:06:46.379 an error. Can you please fix this? Nine times 00:06:46.379 --> 00:06:48.959 out of ten, the AI goes, oops, my bad, and gives 00:06:48.959 --> 00:06:51.480 you corrected code. Oh, and a pro tip. Always 00:06:51.480 --> 00:06:54.279 use paste and match style or paste without formatting. 00:06:54.819 --> 00:06:57.040 Sometimes weird characters sneak in and cause 00:06:57.040 --> 00:06:59.259 new errors. Okay. Once it's error -free, you 00:06:59.259 --> 00:07:01.769 click add to chart. And you can see those little 00:07:01.769 --> 00:07:03.589 buy and sell arrows pop up on your chart. That 00:07:03.589 --> 00:07:06.230 must be a cool moment. It is. Seeing it visually 00:07:06.230 --> 00:07:09.129 come alive is neat. But the real moment of truth 00:07:09.129 --> 00:07:12.129 is the strategy tester tab. TradingView runs 00:07:12.129 --> 00:07:14.550 the backtest automatically, showing you how it 00:07:14.550 --> 00:07:16.569 would have performed. Our initial Bitcoin run, 00:07:16.649 --> 00:07:19.709 for example, showed about 11x return, 1100 % 00:07:19.709 --> 00:07:23.509 profit since 2018. Not bad, but it also had a 00:07:23.509 --> 00:07:27.269 50 % maximum drawdown, meaning at its worst point, 00:07:27.389 --> 00:07:30.370 the value dropped by half before recovering. 00:07:30.490 --> 00:07:33.910 So good start, but room to improve. OK, 11x return 00:07:33.910 --> 00:07:35.910 sounds pretty great right out of the gate. Yeah. 00:07:36.009 --> 00:07:38.089 But after seeing that initial result. What's 00:07:38.089 --> 00:07:39.389 the very first thing you look at? Where do you 00:07:39.389 --> 00:07:41.509 start refining? We immediately zero in on the 00:07:41.509 --> 00:07:43.970 biggest losing trades. Got to understand why 00:07:43.970 --> 00:07:46.509 they failed and fix them. Ah, the detective work. 00:07:47.129 --> 00:07:49.449 Refining, systematically improving by tackling 00:07:49.449 --> 00:07:52.149 losses and optimizing wins. Sounds like surgery. 00:07:52.430 --> 00:07:54.769 It kind of is. In the strategy tester, you go 00:07:54.769 --> 00:07:57.329 to list of trades, sort by profit loss, find 00:07:57.329 --> 00:07:59.310 the worst offenders. We found one trade with 00:07:59.310 --> 00:08:02.870 a nasty 23 % loss. We clicked show on chart to 00:08:02.870 --> 00:08:04.850 see exactly what the market was doing then. It's 00:08:04.850 --> 00:08:07.050 forensics. Why did this happen? And what was 00:08:07.050 --> 00:08:08.720 the solution you came up with for that one? a 00:08:08.720 --> 00:08:11.420 dynamic stop loss based on ATR, average true 00:08:11.420 --> 00:08:14.180 range. It measures volatility. So we prompted 00:08:14.180 --> 00:08:17.360 ChatGPT again. This strategy is OK, but has big 00:08:17.360 --> 00:08:20.600 losses. Please add an ATR -based stop loss. After 00:08:20.600 --> 00:08:22.980 adding that, performance jumped to 14x returns 00:08:22.980 --> 00:08:26.579 and the max drawdown fell to about 44%. A definite 00:08:26.579 --> 00:08:28.779 improvement. And this is where the human creativity 00:08:28.779 --> 00:08:30.860 really comes in, isn't it? Identifying the next 00:08:30.860 --> 00:08:33.460 problem trade, figuring out why choppy market. 00:08:33.899 --> 00:08:36.980 sudden reversal than finding other rules or indicators 00:08:36.980 --> 00:08:39.460 like maybe avoiding trades when volatility is 00:08:39.460 --> 00:08:41.820 super high and testing those ideas. It's that 00:08:41.820 --> 00:08:44.759 ongoing conversation. Absolutely. And the key 00:08:44.759 --> 00:08:47.399 is you have to test carefully to make sure your 00:08:47.399 --> 00:08:49.580 fix doesn't accidentally filter out good trades, 00:08:49.600 --> 00:08:52.039 too. The goal isn't zero losses. That's impossible. 00:08:52.360 --> 00:08:54.580 It's about incremental improvement, shaving off 00:08:54.580 --> 00:08:56.860 the bad, enhancing the good. And it wasn't just 00:08:56.860 --> 00:08:59.320 about losses. We also looked at winning trades. 00:08:59.460 --> 00:09:01.519 We realized our first prompt made the strategy 00:09:01.519 --> 00:09:04.169 exit too soon. Remember? Exit when the green 00:09:04.169 --> 00:09:06.570 line crossed any other line. Too sensitive. Ah, 00:09:06.690 --> 00:09:08.409 so you were leaving money on the table, getting 00:09:08.409 --> 00:09:10.889 out too early. Exactly, and that's often harder 00:09:10.889 --> 00:09:14.350 to spot than the losses, the missed upside. The 00:09:14.350 --> 00:09:16.929 fix was simple but powerful. Clarify the prompt. 00:09:17.490 --> 00:09:20.190 Exit only when the green line crosses below the 00:09:20.190 --> 00:09:22.110 blue line, the slowest one, the jaw matching 00:09:22.110 --> 00:09:24.950 the entry logic. This let the strategy ride the 00:09:24.950 --> 00:09:27.029 trend much longer, only getting out when the 00:09:27.029 --> 00:09:28.710 fundamental trend seemed to be breaking down, 00:09:28.830 --> 00:09:31.389 not just on minor dips. That one change took 00:09:31.389 --> 00:09:36.169 it from 14x all the way up to 22x returns. Huge 00:09:36.169 --> 00:09:39.309 difference. 22x? That's incredible. After all 00:09:39.309 --> 00:09:41.830 that work tweaking, refining, how do you know 00:09:41.830 --> 00:09:44.409 it's genuinely robust? How do you know it wasn't 00:09:44.409 --> 00:09:46.809 just luck or fitting it perfectly to that specific 00:09:46.809 --> 00:09:48.870 Bitcoin history? Right. That's the million dollar 00:09:48.870 --> 00:09:50.889 question. And that's where the stress tests are 00:09:50.889 --> 00:09:53.090 absolutely crucial. Checking for overfitting 00:09:53.090 --> 00:09:55.230 and repainting. Ignore these and you could be 00:09:55.230 --> 00:09:57.470 in for a nasty surprise. These stress tests sound 00:09:57.470 --> 00:10:00.110 vital. Ensuring the strategy isn't fragile or 00:10:00.110 --> 00:10:02.470 deceptive before you even think about real money. 00:10:02.779 --> 00:10:05.559 First up is the overfitting test. Overfitting 00:10:05.559 --> 00:10:07.879 is when your strategy is too perfectly tuned 00:10:07.879 --> 00:10:09.940 to the past data it was built on. It's like, 00:10:09.960 --> 00:10:12.639 it learned that specific history perfectly, but 00:10:12.639 --> 00:10:15.100 it can't adapt. It's a one trick pony. Fails 00:10:15.100 --> 00:10:18.039 on new data or other assets. The test. Simple. 00:10:18.590 --> 00:10:21.690 apply the exact same strategy no changes to multiple 00:10:21.690 --> 00:10:24.070 different diverse assets see how it does so we 00:10:24.070 --> 00:10:26.769 ran our 22x strategy on other cryptos bitcoin 00:10:26.769 --> 00:10:32.289 baseline 2212 profit 43 drawdown okay ethereum 00:10:32.289 --> 00:10:36.029 88 70 profit 49 drawdown good works on another 00:10:36.029 --> 00:10:39.000 major crypto but check this out solana 28 ,000, 00:10:39.000 --> 00:10:43.240 46 % profit with a 53 % drawdown. Whoa. Seeing 00:10:43.240 --> 00:10:46.139 Solana's 28 ,000 % profit from these simple rules, 00:10:46.320 --> 00:10:48.679 it just really heads home, you know? The power 00:10:48.679 --> 00:10:51.179 of clear logic amplified by AI. Now, Cardano 00:10:51.179 --> 00:10:53.480 was profitable, but the drawdown was huge, like 00:10:53.480 --> 00:10:55.779 93%. That's a warning sign. Maybe too aggressive 00:10:55.779 --> 00:10:57.460 for assets that have really deep corrections, 00:10:57.580 --> 00:10:59.659 but seeing a consistent positive edge across 00:10:59.659 --> 00:11:01.700 different markets, that suggests it's probably 00:11:01.700 --> 00:11:03.700 not overfitted. Okay, that makes sense. The second 00:11:03.700 --> 00:11:05.519 critical test you mentioned, the repainting check, 00:11:05.559 --> 00:11:07.139 this sounds ominous. Silent killer, you called 00:11:07.139 --> 00:11:09.279 it. Yeah, repainting is incredibly dangerous, 00:11:09.480 --> 00:11:12.279 especially for newcomers. It's when an indicator 00:11:12.279 --> 00:11:15.179 uses future price data to calculate its past 00:11:15.179 --> 00:11:17.580 values. It basically cheats on the historical 00:11:17.580 --> 00:11:19.399 chart, making it look like a perfect prediction 00:11:19.399 --> 00:11:22.820 machine. Shows you this amazing, holy grail backtest. 00:11:23.139 --> 00:11:25.720 But it completely falls apart in live trading 00:11:25.720 --> 00:11:28.120 because, well, it can't see the future in real 00:11:28.120 --> 00:11:30.740 time. It's a massive trap. Very common. How do 00:11:30.740 --> 00:11:32.759 you spot that then? What are the red flags for 00:11:32.759 --> 00:11:35.360 a repainting indicator? Well, a rule of thumb. 00:11:35.740 --> 00:11:38.120 Be extra suspicious of custom indicators that 00:11:38.120 --> 00:11:41.379 look too good to be true. Standard, well -known 00:11:41.379 --> 00:11:43.259 indicators like the Williams Alligator, moving 00:11:43.259 --> 00:11:45.620 averages, RSI, MassD, they're generally safe. 00:11:45.899 --> 00:11:48.759 For a visual check, put the indicator on a really 00:11:48.759 --> 00:11:50.740 fast chart, like a one -minute chart, and just 00:11:50.740 --> 00:11:53.100 watch it. If you see past signals changing or 00:11:53.100 --> 00:11:55.360 moving around after new price bars form, it's 00:11:55.360 --> 00:11:58.019 repainting. A non -repainting indicator's past 00:11:58.019 --> 00:12:00.419 signals are fixed. They never change once the 00:12:00.419 --> 00:12:02.919 bar closes. You have to be aware of repainting 00:12:02.919 --> 00:12:05.159 before going live. It's probably the single biggest 00:12:05.159 --> 00:12:07.659 reason why fantastic backtests turn into terrible 00:12:07.659 --> 00:12:10.519 real -world results. Those traps sound serious. 00:12:10.679 --> 00:12:12.980 A lot of diligence needed. So after all these 00:12:12.980 --> 00:12:15.220 checks, the overfitting test, the repainting 00:12:15.220 --> 00:12:18.399 check, is it finally ready? Ready for real money? 00:12:18.720 --> 00:12:21.039 Almost. You still need to paper trade it first. 00:12:21.279 --> 00:12:24.059 Always. Right. Which brings us to actually taking 00:12:24.059 --> 00:12:26.580 it live and really thinking about this human 00:12:26.580 --> 00:12:28.820 -AI partnership. It's not just about the code, 00:12:28.940 --> 00:12:31.250 is it? Not at all. And by the way, we've made 00:12:31.250 --> 00:12:33.690 the complete optimized strategy code available 00:12:33.690 --> 00:12:36.429 for listeners to copy and mess around with. Taking 00:12:36.429 --> 00:12:38.490 it live, that's a more advanced step. It involves 00:12:38.490 --> 00:12:40.789 connecting trading view alerts to exchanges like 00:12:40.789 --> 00:12:43.009 Binance or Coinbase using automation platforms 00:12:43.009 --> 00:12:46.210 that lets a trade 24 -7 automatically freeze 00:12:46.210 --> 00:12:48.549 you up. But the crucial advice for going live, 00:12:48.610 --> 00:12:50.870 you mentioned paper trading first, simulated 00:12:50.870 --> 00:12:53.600 money. Absolutely crucial. Paper trade first 00:12:53.600 --> 00:12:55.539 to make sure it behaves live as you expect from 00:12:55.539 --> 00:12:58.220 the back test. Real markets have nuances. And 00:12:58.220 --> 00:13:01.179 then when you do use real capital, start very 00:13:01.179 --> 00:13:04.360 small, tiny position sizes. Monitor it closely. 00:13:04.620 --> 00:13:07.840 Build confidence slowly. Don't rush. Okay. So 00:13:07.840 --> 00:13:09.980 this whole journey we've walked through, it's 00:13:09.980 --> 00:13:13.559 shown how to conceptualize, build, debug, optimize 00:13:13.559 --> 00:13:17.460 a pretty sophisticated strategy using AI as a 00:13:17.460 --> 00:13:20.519 partner. identifying good trades visually, evaluating 00:13:20.519 --> 00:13:23.519 indicators, using AI for the coding, the debugging, 00:13:23.679 --> 00:13:25.779 the improvements, and then those critical stress 00:13:25.779 --> 00:13:28.000 tests. Yeah, and strategy development is always 00:13:28.000 --> 00:13:30.659 iterative. It takes patience, creativity, lots 00:13:30.659 --> 00:13:33.379 of experimentation. There's no holy grail you 00:13:33.379 --> 00:13:35.340 just find overnight. Every little improvement 00:13:35.340 --> 00:13:39.139 builds on the last. The AI is an amazing co -pilot, 00:13:39.240 --> 00:13:41.580 truly powerful, but it's not a magic crystal 00:13:41.580 --> 00:13:43.960 ball. It absolutely needs human insight, doesn't 00:13:43.960 --> 00:13:46.149 it? For the initial vision, the creativity for 00:13:46.149 --> 00:13:48.549 improvements, the judgment calls all along the 00:13:48.549 --> 00:13:51.210 way. Exactly. The real magic isn't just the AI. 00:13:51.429 --> 00:13:54.250 It's that combination. Your strategic direction, 00:13:54.490 --> 00:13:57.309 your insights, and the AI's flawless, super fast 00:13:57.309 --> 00:13:59.629 execution. And of course, the usual disclaimer. 00:13:59.850 --> 00:14:01.909 This is all educational, not financial advice. 00:14:02.269 --> 00:14:05.149 Trading involves risk. Always. Thinking beyond 00:14:05.149 --> 00:14:07.350 just trading. What's the biggest takeaway here 00:14:07.350 --> 00:14:09.370 for listeners? If they want to use AI in their 00:14:09.370 --> 00:14:11.590 own work or learning, what's the metal lesson? 00:14:11.830 --> 00:14:14.440 AI isn't here to replace human thinking. It's 00:14:14.440 --> 00:14:17.460 here to amplify it, incredibly so. We really 00:14:17.460 --> 00:14:20.559 have journeyed from just a basic idea, a human 00:14:20.559 --> 00:14:23.879 intuition, all the way to a refined 22X returning 00:14:23.879 --> 00:14:26.700 strategy and backtesting, all powered by this 00:14:26.700 --> 00:14:29.039 collaborative dance with AI with surprisingly 00:14:29.039 --> 00:14:31.639 little actual coding needed from the human. It's 00:14:31.639 --> 00:14:33.340 pretty remarkable. Yeah, the core message really 00:14:33.340 --> 00:14:35.679 is about that synergy. Your human intuition for 00:14:35.679 --> 00:14:37.879 strategy, your creative spark string debugging, 00:14:38.179 --> 00:14:41.059 combined with the AI speed and coding and iterating, 00:14:41.139 --> 00:14:43.259 it's about empowering your ideas, making them 00:14:43.259 --> 00:14:45.320 real, not replacing your role. And this applies 00:14:45.320 --> 00:14:48.240 way beyond. trading bots. It's a new way to build, 00:14:48.340 --> 00:14:50.980 create, solve problems in almost any field. We 00:14:50.980 --> 00:14:52.799 really hope you'll experiment with these ideas, 00:14:52.940 --> 00:14:55.720 not just in trading, maybe, but anywhere. Data 00:14:55.720 --> 00:14:57.980 analysis automation could give you leverage. 00:14:58.440 --> 00:15:01.220 Try giving AI simple prompts related to your 00:15:01.220 --> 00:15:04.110 own data or work. Explore how this human -machine 00:15:04.110 --> 00:15:06.389 partnership can open up new possibilities for 00:15:06.389 --> 00:15:08.870 you. And maybe think about this. How could this 00:15:08.870 --> 00:15:11.269 kind of human -AI collaboration change what expertise 00:15:11.269 --> 00:15:13.850 even means? Is the future less about knowing 00:15:13.850 --> 00:15:16.230 every single fact and more about being really 00:15:16.230 --> 00:15:18.470 skilled at guiding these powerful tools to find 00:15:18.470 --> 00:15:21.009 insights and build new things? Something to ponder. 00:15:21.590 --> 00:15:23.850 Thank you for joining us on this deep dive. Out 00:15:23.850 --> 00:15:24.350 of your own music.