WEBVTT 00:00:00.000 --> 00:00:02.700 Imagine an artificial intelligence with, well, 00:00:02.799 --> 00:00:06.360 a flawless resume. It claims grandmaster level 00:00:06.360 --> 00:00:09.380 skills in coding, even complex reasoning for 00:00:09.380 --> 00:00:11.380 financial markets. Sounds like a golden ticket, 00:00:11.480 --> 00:00:12.779 right? The kind of thing that could just change 00:00:12.779 --> 00:00:15.500 everything overnight. Exactly. But what if that 00:00:15.500 --> 00:00:18.059 AI, you know, despite all that brilliance, was 00:00:18.059 --> 00:00:20.579 fundamentally blind to the very patterns that 00:00:20.579 --> 00:00:22.320 actually make a trading strategy profitable? 00:00:23.000 --> 00:00:25.739 Welcome to the Deep Dive. Today, we're taking 00:00:25.739 --> 00:00:28.920 a really close look at the much hyped GPT -5, 00:00:29.100 --> 00:00:32.679 specifically its real world performance when 00:00:32.679 --> 00:00:34.359 it was put to the test building trading view 00:00:34.359 --> 00:00:36.560 strategies. Yeah, when GPT -5 first came out, 00:00:36.579 --> 00:00:38.479 the market was just buzzing. Everyone asking, 00:00:38.560 --> 00:00:41.039 is this it? Is this the AI that lets us mint 00:00:41.039 --> 00:00:44.399 money? We've got the, let's say, brutal, honest 00:00:44.399 --> 00:00:47.369 answers today. We'll unpack that initial hype, 00:00:47.429 --> 00:00:49.750 reveal the results from three pretty rigorous 00:00:49.750 --> 00:00:52.109 hands -on tests, and ultimately we'll show you 00:00:52.109 --> 00:00:54.509 why the future of trading probably isn't AI replacing 00:00:54.509 --> 00:00:58.409 humans, but more like a powerful human -machine 00:00:58.409 --> 00:01:01.229 partnership. Right. Our mission today is really 00:01:01.229 --> 00:01:03.310 to cut through all that noise. We're going to 00:01:03.310 --> 00:01:06.049 show you where GPT -5 shines as this high -performance 00:01:06.049 --> 00:01:09.609 engine, which it is. It's remarkable. But maybe 00:01:09.609 --> 00:01:12.090 more importantly, where it still critically falls 00:01:12.090 --> 00:01:14.189 short. where it needs your human intelligence, 00:01:14.409 --> 00:01:16.829 your intuition to actually succeed. We're getting 00:01:16.829 --> 00:01:18.849 to the unfiltered truth here. Okay, let's unpack 00:01:18.849 --> 00:01:21.390 that initial phase then. When GPT -5 dropped, 00:01:21.590 --> 00:01:23.590 the buzz, like you said, was huge. It really 00:01:23.590 --> 00:01:25.629 was presented like the perfect job candidate 00:01:25.629 --> 00:01:28.650 for, say, a quant trading firm, boasting grandmaster 00:01:28.650 --> 00:01:31.510 reasoning, coding skills, especially, it seemed, 00:01:31.650 --> 00:01:34.049 for Pinescript on TradingView. People were excited. 00:01:34.450 --> 00:01:36.430 Oh, absolutely. It was an incredibly impressive 00:01:36.430 --> 00:01:39.489 interview, you could say. Yeah. The AI seemed 00:01:39.489 --> 00:01:42.989 to grasp. The specific world of Pinescript and 00:01:42.989 --> 00:01:45.310 TradingView almost instantly, it felt like it 00:01:45.310 --> 00:01:48.189 remembered past chats, you know, adapting in 00:01:48.189 --> 00:01:50.230 a way that suggested it was way more than just 00:01:50.230 --> 00:01:52.510 some generic chatbot. So that created this really 00:01:52.510 --> 00:01:54.549 powerful first impression, made a lot of people 00:01:54.549 --> 00:01:56.290 think, wow, this could revolutionize strategy 00:01:56.290 --> 00:01:59.890 development. But underneath all that, the big 00:01:59.890 --> 00:02:02.849 question was still there. Could it actually create 00:02:02.849 --> 00:02:05.799 profitable strategies from scratch? Or just follow 00:02:05.799 --> 00:02:08.099 orders well. So just based on that first impression 00:02:08.099 --> 00:02:10.599 before the real test began, what was the biggest 00:02:10.599 --> 00:02:13.300 takeaway? It felt like a true specialist, but, 00:02:13.360 --> 00:02:16.400 you know, talk is cheap. Right. So past the interview 00:02:16.400 --> 00:02:19.199 phase, time for the skills tests. The first challenge 00:02:19.199 --> 00:02:20.840 was something pretty common for algo traders. 00:02:21.159 --> 00:02:23.740 Turn an indicator into a strategy. They picked 00:02:23.740 --> 00:02:26.819 a complex sounding one, the Luxago AI Super Trend 00:02:26.819 --> 00:02:29.740 Clustering Oscillator for Bitcoin. Visually, 00:02:29.840 --> 00:02:32.680 it was clear, blue dots for buy, red dots for 00:02:32.680 --> 00:02:35.210 sell. Right on the chart. Yeah. Easy for a human 00:02:35.210 --> 00:02:38.069 to see the pattern. So in round one, they just 00:02:38.069 --> 00:02:41.030 gave GPT -5 total control, fed it the Pinescript 00:02:41.030 --> 00:02:43.270 code, gave it a really open -ended prompt, transform 00:02:43.270 --> 00:02:45.750 this indicator into a strategy as you see fit. 00:02:46.289 --> 00:02:50.250 And the result, an absolute unmitigated disaster. 00:02:50.430 --> 00:02:54.189 Seriously. Oh, bad. Lost 32 % since 2018 on Bitcoin. 00:02:54.310 --> 00:02:57.629 Just, wow. A money shredding machine, literally. 00:02:57.949 --> 00:03:00.770 Ouch. It just hammered home that processing power 00:03:00.770 --> 00:03:03.409 isn't market wisdom. Not at all. But here's where 00:03:03.409 --> 00:03:05.810 it gets really interesting. Round two, they tried 00:03:05.810 --> 00:03:08.830 this human -AI partnership. Instead of being 00:03:08.830 --> 00:03:10.830 vague, they gave it clear instructions based 00:03:10.830 --> 00:03:13.909 on that visual pattern a human could see explicitly. 00:03:14.430 --> 00:03:16.509 Buy when a blue dot appears, sell when a red 00:03:16.509 --> 00:03:18.550 dot appears. Simple. And that, well, that was 00:03:18.550 --> 00:03:20.490 a total transformation. Just night and day, that 00:03:20.490 --> 00:03:22.569 human -guided strategy. It produced a plus 200 00:03:22.569 --> 00:03:24.729 % profit. And the drawdown was reasonable, too, 00:03:24.789 --> 00:03:27.150 around 37%. The critical lesson here is really 00:03:27.150 --> 00:03:29.870 profound. It shows a fundamental limit. GPT -5. 00:03:30.219 --> 00:03:32.659 cannot see the market like a human. It's blind 00:03:32.659 --> 00:03:35.240 to visual patterns on a chart. It processes text, 00:03:35.419 --> 00:03:37.479 not shapes or where dots are relative to price. 00:03:37.599 --> 00:03:40.460 It doesn't get candlestick patterns. But once 00:03:40.460 --> 00:03:43.360 you, the human strategist, see that pattern and 00:03:43.360 --> 00:03:45.500 tell it exactly what to do. Then it works. Then 00:03:45.500 --> 00:03:48.039 it becomes an incredibly fast, efficient code 00:03:48.039 --> 00:03:50.979 monkey. Yeah. Translates your idea into Pinescript 00:03:50.979 --> 00:03:53.840 almost instantly. Amazing speed. So boil it down 00:03:53.840 --> 00:03:56.740 for us. What's the core difference when a human 00:03:56.740 --> 00:03:59.810 steps in to guide it? Your human intuition provides 00:03:59.810 --> 00:04:02.669 the strategic direction it lacks. Okay. Next 00:04:02.669 --> 00:04:05.069 up, they tested its enhanced reasoning on something 00:04:05.069 --> 00:04:07.469 trickier, fixing an underperforming strategy. 00:04:08.009 --> 00:04:10.550 They used a Gaussian channel trend following 00:04:10.550 --> 00:04:13.069 strategy. Like a lot of trend followers, it tended 00:04:13.069 --> 00:04:16.209 to lose money in choppy sideways markets. Classic 00:04:16.209 --> 00:04:18.209 problem. Right. How do you keep the good trend 00:04:18.209 --> 00:04:21.389 trades but ditch the sideways chop losses? The 00:04:21.389 --> 00:04:24.790 prompt was clear. Enhance this strategy. Avoid 00:04:24.790 --> 00:04:27.990 sideways channels. More percent profit with lower 00:04:27.990 --> 00:04:32.449 percent max drawdown. Specific goals. What followed 00:04:32.449 --> 00:04:35.009 was, honestly, a multi -hour coding nightmare. 00:04:35.389 --> 00:04:38.269 The AI kept trying to use a function called ADX 00:04:38.269 --> 00:04:41.149 in Pinescript that doesn't actually exist in 00:04:41.149 --> 00:04:43.870 standard Pinescript that way. Wait, it hallucinated 00:04:43.870 --> 00:04:46.870 a function? Yeah. ADX, the average directional 00:04:46.870 --> 00:04:49.009 index, is a real indicator. Super common for 00:04:49.009 --> 00:04:52.139 trend strength. But GPT -5 kept getting the implementation 00:04:52.139 --> 00:04:55.100 wrong, trying a non -existent built -in function. 00:04:55.240 --> 00:04:57.399 It took multiple rounds of debugging, feeding 00:04:57.399 --> 00:05:00.339 it error messages, even screenshots. I mean, 00:05:00.360 --> 00:05:02.180 I still wrestle with prom drift myself sometimes, 00:05:02.300 --> 00:05:04.639 so I get the frustration. So after all that back 00:05:04.639 --> 00:05:07.100 and forth, that debugging headache, what was 00:05:07.100 --> 00:05:09.639 the final result? Was it worth it? Well, it was 00:05:09.639 --> 00:05:12.519 a big bag, but ultimately a failure on the main 00:05:12.519 --> 00:05:15.060 goal. How so? It did manage to lower the max 00:05:15.060 --> 00:05:17.439 drawdown a bit, and the win rate went up slightly. 00:05:17.879 --> 00:05:19.860 But the total profit was actually lower than 00:05:19.860 --> 00:05:21.699 the original strategy. Lower profit. So it didn't 00:05:21.699 --> 00:05:25.480 really fix it. No. It hadn't really solved the 00:05:25.480 --> 00:05:28.959 core issue of sideways markets. What it did instead 00:05:28.959 --> 00:05:32.220 was just remove some of the best, most profitable 00:05:32.220 --> 00:05:35.860 trades from the good trending periods. It did 00:05:35.860 --> 00:05:37.939 that just to bring the drawdown number down. 00:05:38.300 --> 00:05:40.019 It couldn't tell the difference between a good 00:05:40.019 --> 00:05:42.500 loss, you know, an acceptable part of the strategy, 00:05:42.699 --> 00:05:45.300 and a bad loss from the chops. So it lacked nuance. 00:05:46.079 --> 00:05:48.000 Completely. It just didn't have that market intuition, 00:05:48.199 --> 00:05:50.300 honestly, for this task. Yeah. Not much better 00:05:50.300 --> 00:05:52.439 than GPT -4. Why do you think it struggled so 00:05:52.439 --> 00:05:54.680 much with actually improving the strategy, not 00:05:54.680 --> 00:05:57.259 just, you know, cutting trades? It couldn't grasp 00:05:57.259 --> 00:05:59.839 the market context of good versus bad trades. 00:06:00.079 --> 00:06:02.660 OK, that leads us to the biggest test, the ultimate 00:06:02.660 --> 00:06:06.040 challenge. Could GPT -5 create a profitable strategy 00:06:06.040 --> 00:06:09.160 totally from scratch? The hope was maybe its 00:06:09.160 --> 00:06:11.279 massive training data held some hidden alpha, 00:06:11.379 --> 00:06:13.300 some pattern it could synthesize on its own. 00:06:13.459 --> 00:06:15.399 Well, it was in another coding marathon, let 00:06:15.399 --> 00:06:17.500 me tell you. The usual suspects popped up those 00:06:17.500 --> 00:06:20.199 ADEX errors again, incomplete codes, stuff needing 00:06:20.199 --> 00:06:22.879 human fixes. But after all that debugging, something 00:06:22.879 --> 00:06:26.100 genuinely interesting did emerge. Quite surprising, 00:06:26.199 --> 00:06:28.980 actually. The final strategy it built wasn't 00:06:28.980 --> 00:06:31.199 the absolute highest profit winner in terms of 00:06:31.199 --> 00:06:34.389 sheer percentage gain. It was one of the best 00:06:34.389 --> 00:06:36.370 strategies they tested in terms of stability. 00:06:36.689 --> 00:06:40.910 Risk management was top notch. Stability. How 00:06:40.910 --> 00:06:43.829 so? It had an incredibly low maximum drawdown, 00:06:43.949 --> 00:06:48.370 just 15 .46%, plus a really solid 61 % win rate 00:06:48.370 --> 00:06:51.569 and a profit factor of 7 .1. That's strong. 7 00:06:51.569 --> 00:06:54.449 .1 profit factor. Yeah. That's impressive. But 00:06:54.449 --> 00:06:57.290 low drawdown is the key here. Explain why that's 00:06:57.290 --> 00:06:59.170 such a big deal. Yeah, this is super important, 00:06:59.269 --> 00:07:00.790 especially if you're trading serious capital. 00:07:00.949 --> 00:07:03.610 A strategy with really low drawdown isn't just 00:07:03.610 --> 00:07:05.949 nice. It's a foundational advantage. It means 00:07:05.949 --> 00:07:08.250 you can safely amplify it. You can increase your 00:07:08.250 --> 00:07:10.500 position size, maybe use a bit of leverage. much 00:07:10.500 --> 00:07:13.220 more comfortably like even with just 2x amplification 00:07:13.220 --> 00:07:15.889 which is pretty modest, that GPT -5 strategy 00:07:15.889 --> 00:07:17.910 could suddenly produce competitive profits, maybe 00:07:17.910 --> 00:07:19.970 even better than some higher raw profit strategies, 00:07:20.209 --> 00:07:22.649 and its drawdown would still be well within reasonable 00:07:22.649 --> 00:07:25.069 risk limits. Think about applying that to significant 00:07:25.069 --> 00:07:27.730 capital. Whoa. Yeah, imagine scaling that kind 00:07:27.730 --> 00:07:29.470 of stability. It changes the whole psychological 00:07:29.470 --> 00:07:31.769 experience of trading, doesn't it? Absolutely. 00:07:31.970 --> 00:07:34.850 A high win rate plus low drawdown that's much 00:07:34.850 --> 00:07:36.970 easier to stick with psychologically in the real 00:07:36.970 --> 00:07:40.350 world. No huge swings, fewer long losing streaks. 00:07:40.430 --> 00:07:43.660 It built a really solid foundation. So bottom 00:07:43.660 --> 00:07:46.839 line for us, what makes that low drawdown result 00:07:46.839 --> 00:07:50.040 so valuable to a trader? It offers psychological 00:07:50.040 --> 00:07:53.480 ease and safer amplification of capital. Midroll 00:07:53.480 --> 00:07:56.899 sponsor read. OK, so after running GPT -5 through 00:07:56.899 --> 00:07:59.199 these three different pretty demanding tests, 00:07:59.560 --> 00:08:02.420 what's the brutal unvarnished truth? What are 00:08:02.420 --> 00:08:05.360 its real capabilities for trading? Well, I think 00:08:05.360 --> 00:08:07.939 the best analogy is this. Think of GPT -5 as 00:08:07.939 --> 00:08:10.459 a world class, high performance race car engine. 00:08:11.159 --> 00:08:13.579 incredibly powerful, an amazing feat of engineering 00:08:13.579 --> 00:08:16.420 capable of immense output. But here's the catch. 00:08:16.560 --> 00:08:18.259 It's delivered to you with no steering wheel, 00:08:18.339 --> 00:08:22.459 no brakes, and no GPS. Ah, powerful but uncontrollable. 00:08:22.519 --> 00:08:24.740 Exactly. It's an engine of immense power, but 00:08:24.740 --> 00:08:26.740 without a skilled human driver providing the 00:08:26.740 --> 00:08:28.439 crucial controls, giving it direction, navigating 00:08:28.439 --> 00:08:30.379 the markets, twists and turns, it's going to 00:08:30.379 --> 00:08:32.759 crash, guaranteed. It's a tool with huge potential, 00:08:32.899 --> 00:08:34.620 but it's definitely not a complete solution on 00:08:34.620 --> 00:08:37.360 its own. That's a really clear analogy. So let's 00:08:37.360 --> 00:08:39.840 drill down then. Where does this powerful engine 00:08:39.840 --> 00:08:42.539 actually shine? What are its core strengths we 00:08:42.539 --> 00:08:45.440 should be using? Okay, despite those limits, 00:08:45.600 --> 00:08:49.600 it has three really clear strengths. First, code 00:08:49.600 --> 00:08:52.860 implementation. It is genuinely world -class 00:08:52.860 --> 00:08:55.460 at translating human logic into code. You define 00:08:55.460 --> 00:08:57.580 the rules, tell it what you want, and boom, it 00:08:57.580 --> 00:09:00.179 writes clean, efficient Pinescript. The speed 00:09:00.179 --> 00:09:02.299 is just incredible. Okay, translation expert. 00:09:02.419 --> 00:09:05.580 What else? Second, low -risk architecture. This 00:09:05.580 --> 00:09:07.620 was interesting. It seems to default towards 00:09:07.620 --> 00:09:09.639 building strategies that have inherently reasonable 00:09:09.639 --> 00:09:11.879 drawdowns and pretty solid risk management baked 00:09:11.879 --> 00:09:14.279 in, almost like a safety engineer designed it. 00:09:14.379 --> 00:09:16.659 So it leans towards being cautious. Seems like 00:09:16.659 --> 00:09:19.879 it, yeah. And third, it's a tireless debugging 00:09:19.879 --> 00:09:22.460 partner. Feed it clear error messages, show it 00:09:22.460 --> 00:09:24.580 screenshots of problems, and it's surprisingly 00:09:24.580 --> 00:09:26.740 good at finding and fixing coding errors its 00:09:26.740 --> 00:09:29.460 own, or even yours, like a super patient assistant. 00:09:29.919 --> 00:09:32.620 All right, so great coder, lean safe, good debugger. 00:09:32.659 --> 00:09:35.340 Now the flip side. Where are those missing controls, 00:09:35.539 --> 00:09:37.779 the parts that lead to the crashes? Right. It 00:09:37.779 --> 00:09:40.320 fails because it lacks some critical things. 00:09:40.500 --> 00:09:43.340 Number one, true market intelligence. Like we 00:09:43.340 --> 00:09:45.539 saw, it's blind. It cannot look at a chart and 00:09:45.539 --> 00:09:47.700 identify a profitable visual pattern by itself. 00:09:47.919 --> 00:09:50.340 It doesn't see charts. It sees text tokens. No 00:09:50.340 --> 00:09:53.000 eyes for the market. Exactly. No intuition. Second, 00:09:53.240 --> 00:09:56.899 strategic optimization. It has zero market feel. 00:09:57.279 --> 00:10:01.039 It cannot understand why a trade is good or bad 00:10:01.039 --> 00:10:03.860 in the bigger picture. It'll chop out good trades 00:10:03.860 --> 00:10:05.879 just to lower drawdown, remember. It doesn't 00:10:05.879 --> 00:10:08.919 get the why. And finally, coding consistency. 00:10:09.379 --> 00:10:11.299 Despite being brilliant, it makes these simple 00:10:11.299 --> 00:10:13.340 repeated mistakes like hallucinating functions. 00:10:13.480 --> 00:10:15.940 It needs that human iteration, that correction 00:10:15.940 --> 00:10:17.779 loop. Okay, so this brings up the big question 00:10:17.779 --> 00:10:19.860 for anyone wanting to use this. If it has these, 00:10:20.039 --> 00:10:22.759 frankly, pretty big flaws, how do we actually 00:10:22.759 --> 00:10:24.539 make it profitable? How do we use it effectively? 00:10:24.740 --> 00:10:27.279 The conclusion is actually really clear. and 00:10:27.279 --> 00:10:30.259 maybe even a bit liberating. GPT -5 is not a 00:10:30.259 --> 00:10:32.419 replacement for human traders. It's not after 00:10:32.419 --> 00:10:35.620 your job. Instead, think of it as a powerful 00:10:35.620 --> 00:10:37.860 implementation tool that absolutely requires 00:10:37.860 --> 00:10:41.279 human market intelligence to guide it. The winning 00:10:41.279 --> 00:10:43.759 formula of the future here is what we're calling 00:10:43.759 --> 00:10:46.720 the trading center, a seamless human machine 00:10:46.720 --> 00:10:49.240 partnership. Trading center. I like that. Human 00:10:49.240 --> 00:10:52.879 brain, AI body. Pretty much. Your job as the 00:10:52.879 --> 00:10:55.990 human brain is pattern recognition. You study 00:10:55.990 --> 00:10:58.490 the charts, use your experience to spot potential 00:10:58.490 --> 00:11:01.850 patterns, you form hypotheses. GPT -5's job, 00:11:02.029 --> 00:11:04.870 the powerful body, is implementation. You give 00:11:04.870 --> 00:11:06.789 it clear, detailed instructions based on your 00:11:06.789 --> 00:11:08.809 insights, and it handles the coding grunt work. 00:11:09.009 --> 00:11:11.789 Then it's a cycle, human -driven iteration. You 00:11:11.789 --> 00:11:14.049 test what it builds, find the flaws, refine your 00:11:14.049 --> 00:11:16.129 ideas, and guide the AI to make specific tweaks. 00:11:16.590 --> 00:11:19.750 And critically, you amplify AI strengths. Lean 00:11:19.750 --> 00:11:21.950 on it for the debugging, the automation, quickly 00:11:21.950 --> 00:11:23.990 creating variations of your ideas. Let it do 00:11:23.990 --> 00:11:26.440 what it does best. So basically an operator's 00:11:26.440 --> 00:11:28.419 manual for the listener. Clear do's and don'ts. 00:11:28.600 --> 00:11:32.320 Exactly. Simple breakdown. DO use GPT -5 for 00:11:32.320 --> 00:11:34.379 converting indicators you already understand 00:11:34.379 --> 00:11:36.580 well, implementing very specific training rules 00:11:36.580 --> 00:11:39.139 you've defined, debugging Pinescript code, and 00:11:39.139 --> 00:11:42.360 creating lots of variations fast. Don't use GPT 00:11:42.360 --> 00:11:45.139 -5 for discovering profitable patterns from scratch. 00:11:45.200 --> 00:11:47.720 You can't see them. Optimizing strategies without 00:11:47.720 --> 00:11:49.840 your explicit guidance, it'll optimize poorly. 00:11:50.059 --> 00:11:52.100 And don't expect it to understand why a strategy 00:11:52.100 --> 00:11:54.960 works or fails or notice subtle market shifts. 00:11:55.120 --> 00:11:58.080 That's still your job. So this Centaur approach, 00:11:58.220 --> 00:12:00.899 this human AI team. How does that really change 00:12:00.899 --> 00:12:02.980 the game for traders going forward? It combines 00:12:02.980 --> 00:12:06.159 human insight with AI's raw coding power. Okay, 00:12:06.220 --> 00:12:08.200 wrapping this up then. What does this all mean 00:12:08.200 --> 00:12:10.519 for you listening? The big idea here seems to 00:12:10.519 --> 00:12:12.740 be that GPT -5 is not the holy grail. It's not 00:12:12.740 --> 00:12:14.639 push -button riches. Not at all. What's really 00:12:14.639 --> 00:12:16.539 fascinating is seeing it clearly as a sophisticated 00:12:16.539 --> 00:12:19.080 coding assistant. It's an amplifier for human 00:12:19.080 --> 00:12:21.120 intelligence, not a replacement. The winning 00:12:21.120 --> 00:12:22.960 combo is simple. You bring the market insight, 00:12:23.139 --> 00:12:24.919 the pattern recognition, the strategic thinking. 00:12:25.399 --> 00:12:28.080 GPT -5 brings the code implementation, the debugging 00:12:28.080 --> 00:12:31.000 speed, the rapid iteration power. And together, 00:12:31.279 --> 00:12:34.720 that human machine team can create and test potentially 00:12:34.720 --> 00:12:37.960 profitable strategies way faster than ever before. 00:12:38.120 --> 00:12:40.139 It's about combining your hard -won experience 00:12:40.139 --> 00:12:43.179 with the AI speed. So for you, the listener, 00:12:43.320 --> 00:12:45.720 this points to a clear path. If you're a beginner 00:12:45.720 --> 00:12:48.659 trader, your absolute first priority is still 00:12:48.659 --> 00:12:51.320 learning market fundamentals, technical analysis 00:12:51.320 --> 00:12:55.220 basics. GPT -5 won't help you if you don't understand 00:12:55.220 --> 00:12:57.100 why a trade should work in the first place. Absolutely 00:12:57.100 --> 00:13:00.259 critical. For experienced traders, GPT -5 could 00:13:00.259 --> 00:13:02.080 be a massive game changer for implementation 00:13:02.080 --> 00:13:05.740 speed. Testing your nuanced ideas may be 10 times 00:13:05.740 --> 00:13:08.419 faster than coding manually. Imagine that speed. 00:13:08.639 --> 00:13:11.480 And for strategy developers, you can use GPT 00:13:11.480 --> 00:13:13.679 -5 to churn out variations of your core ideas, 00:13:13.980 --> 00:13:16.139 test different parameters, different filters 00:13:16.139 --> 00:13:18.799 at a pace that was impossible before. The traders 00:13:18.799 --> 00:13:20.879 really winning with AI right now. They're not 00:13:20.879 --> 00:13:22.960 expecting magic. They're wisely combining their 00:13:22.960 --> 00:13:25.559 own intelligence, their edge with the AI speed. 00:13:26.279 --> 00:13:29.269 It's about working smarter. So the real advantage 00:13:29.269 --> 00:13:31.429 isn't found in trying to fully automate your 00:13:31.429 --> 00:13:34.330 thinking, but in wisely augmenting your own intelligence, 00:13:34.629 --> 00:13:37.669 making yourself faster, more efficient. Thanks 00:13:37.669 --> 00:13:39.029 for joining us for this deep dive.