WEBVTT 00:00:00.000 --> 00:00:03.480 Okay, the crypto market. It feels like it moves 00:00:03.480 --> 00:00:05.240 at the speed of light, doesn't it? Oh, absolutely. 00:00:05.540 --> 00:00:07.740 Thousands of projects out there. Prices jumping 00:00:07.740 --> 00:00:10.599 all over the place and just this, like, constant 00:00:10.599 --> 00:00:13.640 wall of noise online. Yeah, it's overwhelming. 00:00:13.919 --> 00:00:16.519 Trying to research the old way. Forget it. Weeks 00:00:16.519 --> 00:00:20.120 reading dense white papers. Yeah. You just end 00:00:20.120 --> 00:00:23.660 up stuck, right? Unable to decide. Totally. Analysis 00:00:23.660 --> 00:00:26.239 paralysis is real. But what if there was a shortcut? 00:00:27.059 --> 00:00:29.260 What if you could use a tool, maybe one you already 00:00:29.260 --> 00:00:32.250 use? like chat GPT, and use it to cut through 00:00:32.250 --> 00:00:36.149 that chaos. Analyze things like a pro strategist. 00:00:36.170 --> 00:00:38.649 OK, I'm listening. Welcome to the deep dive. 00:00:39.369 --> 00:00:41.490 Today, that's our mission. We're going to try 00:00:41.490 --> 00:00:44.729 and pull out a clear six -step system. from the 00:00:44.729 --> 00:00:47.109 sources we looked at. A system for smarter crypto 00:00:47.109 --> 00:00:49.909 decisions using AI. Sounds good. Yeah. Covering 00:00:49.909 --> 00:00:52.189 the big things, finding real value, figuring 00:00:52.189 --> 00:00:54.369 out timing, checking the market mood. And maybe 00:00:54.369 --> 00:00:56.469 discovering those hidden gems, too. Exactly. 00:00:56.509 --> 00:00:58.250 And we're starting right at the beginning with 00:00:58.250 --> 00:01:00.609 the fundamentals. Right. So finding true value 00:01:00.609 --> 00:01:03.149 in crypto. First thing we've got to admit, fundamental 00:01:03.149 --> 00:01:05.450 analysis here is different. Different how? It's 00:01:05.450 --> 00:01:07.549 not like looking at traditional stocks. You know, 00:01:07.549 --> 00:01:10.489 you can't really pull up quarterly profits or 00:01:10.489 --> 00:01:12.829 sales reports. Because they often just don't 00:01:12.829 --> 00:01:14.629 exist for these projects. Pretty much. So you 00:01:14.629 --> 00:01:16.870 need different metrics. OK. So if we're not tracking 00:01:16.870 --> 00:01:20.650 profits, what are those essential crypto native 00:01:20.650 --> 00:01:23.290 things we should be asking the AI about? Well, 00:01:23.430 --> 00:01:25.549 the focus areas are pretty specific. You need 00:01:25.549 --> 00:01:28.290 to look hard at tokenomics. Tokenomics. Yeah. 00:01:28.390 --> 00:01:30.870 That's how the coin is made, shared, used, all 00:01:30.870 --> 00:01:34.950 that. Exactly. How it works. Then on -chain data. 00:01:35.450 --> 00:01:37.730 which is the actual activity happening on the 00:01:37.730 --> 00:01:39.329 blockchain itself, right? Stuff you can measure. 00:01:39.510 --> 00:01:42.010 That's it. Plus, you know, the strength of the 00:01:42.010 --> 00:01:44.810 actual team behind it and the community support, 00:01:45.129 --> 00:01:47.689 that matters a lot in crypto. Okay. So if we 00:01:47.689 --> 00:01:50.469 take a big one like Ethereum, we're not just 00:01:50.469 --> 00:01:54.049 asking chat GPT for, like, a basic summary. Right. 00:01:54.250 --> 00:01:56.989 We need it to synthesize its ecosystem health. 00:01:57.510 --> 00:02:00.250 You know, how active are the DeFi apps? What's 00:02:00.250 --> 00:02:02.409 happening with NFTs on there? And the hard numbers, 00:02:02.590 --> 00:02:05.250 too. Definitely on chain metrics like what's 00:02:05.250 --> 00:02:07.810 the trend in daily active addresses how much 00:02:07.810 --> 00:02:12.129 ETH is being staked transaction volume That kind 00:02:12.129 --> 00:02:14.770 of stuff. This is where specific crypto knowledge 00:02:14.770 --> 00:02:17.770 Really helps I guess especially with tokenomics 00:02:17.770 --> 00:02:21.330 the source mentioned the EIP 1559 update for 00:02:21.330 --> 00:02:23.889 aetherium. Why is that so important for its value? 00:02:24.409 --> 00:02:27.490 Ah, yeah, that's kind of the aha moment for understanding 00:02:27.490 --> 00:02:31.879 supply and crypto. Okay, so after EIP 1559 part 00:02:31.879 --> 00:02:35.099 of every transaction fee on Ethereum gets burned. 00:02:35.439 --> 00:02:37.439 Burned meaning destroyed, like gone forever. 00:02:37.639 --> 00:02:39.300 Exactly. Taken out of circulation permanently. 00:02:39.599 --> 00:02:42.219 Now, if the amount getting burned is consistently 00:02:42.219 --> 00:02:44.580 more than the amount of new Ether being created... 00:02:44.580 --> 00:02:46.740 Then the total supply actually goes down. Precisely. 00:02:46.759 --> 00:02:49.639 It shrinks. This creates a deflationary pressure. 00:02:49.840 --> 00:02:51.539 Inflationary pressure, okay. Yeah. Think of it 00:02:51.539 --> 00:02:53.740 less like regular money and maybe more like a 00:02:53.740 --> 00:02:55.979 limited edition collectible that just gets a 00:02:55.979 --> 00:02:58.240 tiny bit rarer every time someone uses the network. 00:02:58.379 --> 00:03:00.939 Interesting analogy. And that potential scarcity... 00:03:00.879 --> 00:03:02.659 Well, according to the research, that's a huge 00:03:02.659 --> 00:03:05.300 part of its long -term investment case. But even 00:03:05.300 --> 00:03:08.319 a project with strong fundamentals like that 00:03:08.319 --> 00:03:11.199 must have weaknesses, right, risks. What should 00:03:11.199 --> 00:03:13.539 the AI analysis be flagging there? Absolutely. 00:03:13.960 --> 00:03:16.759 A good analysis has to point out the risks. Three 00:03:16.759 --> 00:03:19.219 main areas usually come up for something like 00:03:19.219 --> 00:03:22.819 Ethereum. OK, what are they? One, intense competition. 00:03:23.219 --> 00:03:25.240 You know, faster chains like Solana are always 00:03:25.240 --> 00:03:28.229 nipping at its heels. Right. Two, scalability 00:03:28.229 --> 00:03:30.789 issues. Historically, Ethereum has had problems 00:03:30.789 --> 00:03:33.009 with high network fees when it gets busy. Yeah, 00:03:33.030 --> 00:03:36.110 I've felt that pain. And three, just the general 00:03:36.110 --> 00:03:38.770 legal and regulatory uncertainty hanging over 00:03:38.770 --> 00:03:42.169 crypto globally. If the AI doesn't mention weaknesses, 00:03:42.550 --> 00:03:44.969 you know, the analysis just isn't complete. It's 00:03:44.969 --> 00:03:48.210 biased. OK, so if traditional metrics like profit 00:03:48.210 --> 00:03:51.030 are out and we have these crypto specific things 00:03:51.030 --> 00:03:54.110 like token burning and on -sheen data, how do 00:03:54.110 --> 00:03:57.150 we actually judge the quality? the long -term 00:03:57.150 --> 00:03:58.870 potential. Well, that's where the second step 00:03:58.870 --> 00:04:01.129 comes in. You check it against proven principles 00:04:01.129 --> 00:04:04.289 from successful investors, specifically in this 00:04:04.289 --> 00:04:06.469 asset class, not just importing rules from the 00:04:06.469 --> 00:04:10.030 stock market. Ah, okay. Step two, principle -based 00:04:10.030 --> 00:04:14.409 analysis. Yep. This step is crucial. We can't 00:04:14.409 --> 00:04:17.050 just apply, like, Warren Buffett's rules directly. 00:04:17.550 --> 00:04:20.209 They often don't translate well to decentralized 00:04:20.209 --> 00:04:22.509 stuff. So what are we doing instead? We get the 00:04:22.509 --> 00:04:26.730 AI to run a kind of pass -fail checklist based 00:04:26.730 --> 00:04:28.589 on the thinking of people who've successfully 00:04:28.589 --> 00:04:31.250 held crypto long term. And these principles are 00:04:31.250 --> 00:04:33.579 like... The non -negotiables for seeing if it 00:04:33.579 --> 00:04:36.819 has real long -term legs. Pretty much. The analysis 00:04:36.819 --> 00:04:39.040 needs to confirm, first, does it have a clear 00:04:39.040 --> 00:04:42.000 use case? Meaning, does it actually solve a real 00:04:42.000 --> 00:04:44.959 problem, digital or otherwise? Exactly. Is it 00:04:44.959 --> 00:04:47.399 useful? Second, does it show a strong network 00:04:47.399 --> 00:04:50.300 effect? Where it gets more valuable as more people 00:04:50.300 --> 00:04:52.819 use it or build on it. You got it. Think Facebook, 00:04:52.980 --> 00:04:55.699 but for crypto protocols. And third, quickly, 00:04:56.579 --> 00:04:58.939 decentralization. How spread out is the control? 00:04:59.180 --> 00:05:01.360 Is it really run by lots of different people, 00:05:01.360 --> 00:05:03.879 or could one group just pull the plug? That's 00:05:03.879 --> 00:05:06.019 the core question. So the Ethereum example we 00:05:06.019 --> 00:05:07.939 used, it generally passes these checks because 00:05:07.939 --> 00:05:12.139 of its huge DeFi and NFT ecosystem, that network 00:05:12.139 --> 00:05:15.079 effect. And its massive global network of validators 00:05:15.079 --> 00:05:17.439 keeping it running. Right. Distributed control. 00:05:17.800 --> 00:05:20.680 OK, so steps one and two give us fundamental 00:05:20.680 --> 00:05:23.639 strength. That helps figure out what might be 00:05:23.639 --> 00:05:26.579 a good investment. But then there's the million 00:05:26.579 --> 00:05:30.110 dollar question. When? Exactly. That's when we 00:05:30.110 --> 00:05:33.050 shift gears. We move from the fundamental what's 00:05:33.050 --> 00:05:35.930 to market timing, and that brings us to technical 00:05:35.930 --> 00:05:39.430 analysis. Step three, technical analysis, or 00:05:39.430 --> 00:05:42.589 TA. This is about trying to predict shorter term 00:05:42.589 --> 00:05:45.230 price moves by reading charts. Right. Looking 00:05:45.230 --> 00:05:47.730 at past patterns. That's the idea. And you often 00:05:47.730 --> 00:05:49.889 source these charts from platforms like TradingView. 00:05:50.170 --> 00:05:52.870 And you mentioned needing the PayChat GPT version 00:05:52.870 --> 00:05:55.910 plus to actually upload a chart image. for analysis. 00:05:56.029 --> 00:05:58.089 Yeah, that's the practical bit. You feed it the 00:05:58.089 --> 00:06:00.870 image. And what does the AI do with it? The model 00:06:00.870 --> 00:06:03.250 gets to work. Your prompt tells it to find key 00:06:03.250 --> 00:06:05.829 things, mainly support levels. Price floors, 00:06:06.230 --> 00:06:09.290 where buying tends to kick in. Correct. Psychological 00:06:09.290 --> 00:06:11.730 or actual levels where prices bounced before. 00:06:12.069 --> 00:06:14.449 And resistance levels. The ceilings, where selling 00:06:14.449 --> 00:06:16.629 pressure usually takes over. Yep. where price 00:06:16.629 --> 00:06:18.649 has struggled to break through in the past. The 00:06:18.649 --> 00:06:21.129 powerful part seems to be the scenario planning 00:06:21.129 --> 00:06:24.449 the AI can do based on this. Precisely. It basically 00:06:24.449 --> 00:06:26.769 gives you a potential roadmap. It might say, 00:06:26.870 --> 00:06:30.350 OK, here's the bullish case. If the price breaks 00:06:30.350 --> 00:06:34.420 firmly above, say, $3 ,500 resistance. that could 00:06:34.420 --> 00:06:36.519 signal upward momentum towards a higher target. 00:06:36.680 --> 00:06:39.600 In the flip side. The bearish case. If it breaks 00:06:39.600 --> 00:06:43.100 below a key support level, maybe $3 ,000, that 00:06:43.100 --> 00:06:45.839 could indicate more potential downside. So it 00:06:45.839 --> 00:06:48.420 helps you set entry and exit rules beforehand, 00:06:48.879 --> 00:06:50.720 before emotions get involved. That's the goal. 00:06:50.819 --> 00:06:52.680 Take some of the emotion out of it by having 00:06:52.680 --> 00:06:55.279 a plan based on the chart's history. Okay, but 00:06:55.279 --> 00:06:57.740 here's a thought. If the AI is just looking at 00:06:57.740 --> 00:07:00.620 historical chart data to find these levels, how 00:07:00.620 --> 00:07:03.699 reliable is TA? Especially when the crypto market 00:07:03.699 --> 00:07:06.160 can just get totally rocked by sudden news, like 00:07:06.160 --> 00:07:08.259 a regulatory announcement or some crazy hype 00:07:08.259 --> 00:07:09.980 cycle. That's a really good point and a fair 00:07:09.980 --> 00:07:12.639 challenge. TA is definitely only one piece of 00:07:12.639 --> 00:07:14.459 this puzzle. Right. It shows you the historical 00:07:14.459 --> 00:07:17.060 patterns, the structure. But yeah, it absolutely 00:07:17.060 --> 00:07:19.420 cannot predict sudden external news events. No. 00:07:19.839 --> 00:07:22.000 What else do we need? This is exactly why we 00:07:22.000 --> 00:07:24.879 must layer in the current market mood. Which 00:07:24.879 --> 00:07:29.379 means, step four, sentiment analysis. Ah, okay, 00:07:29.720 --> 00:07:33.839 sentiment analysis. Because hype and fear really 00:07:33.839 --> 00:07:36.220 drive those short -term swings, don't they? They're 00:07:36.220 --> 00:07:40.160 huge drivers. So step four tries to quantify 00:07:40.160 --> 00:07:45.579 that mood. We use the AI to basically scan recent 00:07:45.579 --> 00:07:48.319 news, maybe the last week or so. And social media 00:07:48.319 --> 00:07:52.339 too, like X, Reddit. Yeah, measure the buzz, 00:07:52.600 --> 00:07:54.980 the feeling out there. Is it generally positive, 00:07:54.980 --> 00:07:57.000 negative, or just kind of neutral? So it helps 00:07:57.000 --> 00:07:59.139 cut through the noise and actually categorize 00:07:59.139 --> 00:08:01.000 what's driving the feeling. That's the idea. 00:08:01.079 --> 00:08:03.279 We ask the AI to clearly separate things out, 00:08:03.459 --> 00:08:05.120 like, OK, what are the bullish factors right 00:08:05.120 --> 00:08:07.199 now? Maybe a successful network upgrade just 00:08:07.199 --> 00:08:09.579 happened, like the Denken upgrade aiming to lower 00:08:09.579 --> 00:08:12.300 fees. Or maybe an ETF application looks promising. 00:08:12.399 --> 00:08:14.939 Right. And then, critically, what are the bearish 00:08:14.939 --> 00:08:17.399 factors? Is there an ongoing SEC investigation? 00:08:17.839 --> 00:08:19.980 Was a major security flaw just found? And it 00:08:19.980 --> 00:08:22.240 puts it all together. Ideally, yeah. Then the 00:08:22.240 --> 00:08:24.360 AI tries to assign an overall sentiment score. 00:08:24.480 --> 00:08:26.420 You know, maybe it spits out a 7 out of 10 towards 00:08:26.420 --> 00:08:28.899 bullish and explains why. It gives you the emotional 00:08:28.899 --> 00:08:31.519 temperature. That seems crucial for timing, layering 00:08:31.519 --> 00:08:34.899 it on top of the TA. It really is. But, uh... 00:08:34.940 --> 00:08:37.460 Vulnerable admission, I'll admit. I still wrestle 00:08:37.460 --> 00:08:39.940 with prompt drift myself sometimes when I ask 00:08:39.940 --> 00:08:42.559 the AI for something subjective, like a sentiment 00:08:42.559 --> 00:08:45.259 score. Prompt drift, meaning it doesn't always 00:08:45.259 --> 00:08:47.820 give you what you expect. Yeah, getting consistent, 00:08:47.879 --> 00:08:50.860 reliable numbers for something as fuzzy as sentiment 00:08:50.860 --> 00:08:54.000 takes constant tweaking of the prompts. But I 00:08:54.000 --> 00:08:56.259 think it's still a necessary check against relying 00:08:56.259 --> 00:08:59.309 purely on charts. That makes sense. That prompt 00:08:59.309 --> 00:09:01.190 drift issue really highlights that the human 00:09:01.190 --> 00:09:03.750 overlay is still vital, isn't it? You're checking 00:09:03.750 --> 00:09:06.210 the AI's reading against your own understanding. 00:09:06.690 --> 00:09:08.590 Absolutely. You can't just blindly follow the 00:09:08.590 --> 00:09:11.190 output. Do sex silence. OK, let's talk efficiency. 00:09:11.669 --> 00:09:13.710 Step five is about automation, right? Fighting 00:09:13.710 --> 00:09:16.070 that burnout because the crypto market is genuinely 00:09:16.070 --> 00:09:19.779 24 to 7. It never sleeps. So yeah, we need ways 00:09:19.779 --> 00:09:22.259 to manage the firehose of information without 00:09:22.259 --> 00:09:24.879 going crazy. How can the AI help there? We need 00:09:24.879 --> 00:09:27.159 to automate how we digest info. Probably the 00:09:27.159 --> 00:09:29.220 most valuable prompt here is one that creates 00:09:29.220 --> 00:09:32.059 a short, sharp daily briefing. What goes in the 00:09:32.059 --> 00:09:34.980 briefing? Key stuff. Overall market cap change 00:09:34.980 --> 00:09:37.620 in the last 24 hours. Who are the top movers, 00:09:37.960 --> 00:09:42.019 up or down? Any specific news about projects 00:09:42.019 --> 00:09:44.899 you're tracking, like our Ethereum example. That 00:09:44.899 --> 00:09:47.210 sounds useful. How do we get that automatically, 00:09:47.409 --> 00:09:49.529 say, every morning? Well, for true automation, 00:09:49.850 --> 00:09:52.830 you probably need ChatGPT Plus again for its 00:09:52.830 --> 00:09:55.340 scheduled sends feature. Or you could link it 00:09:55.340 --> 00:09:58.179 up with external tools, like Zapier, to push 00:09:58.179 --> 00:10:01.059 those updates out automatically. OK. And one 00:10:01.059 --> 00:10:03.419 crucial bit of data that must be in that daily 00:10:03.419 --> 00:10:06.299 briefing is the overall crypto fear and greed 00:10:06.299 --> 00:10:09.539 index. Ah, the index that measures market emotion 00:10:09.539 --> 00:10:11.200 extremes. Yeah, it's like a quick gut check. 00:10:11.240 --> 00:10:14.039 Are we in extreme fear or extreme greed? Helps 00:10:14.039 --> 00:10:16.120 contextualize everything else. The system seems 00:10:16.120 --> 00:10:18.120 great for keeping tabs on coins we already know, 00:10:18.340 --> 00:10:20.159 like Ethereum. But let's be honest, a lot of 00:10:20.159 --> 00:10:22.440 people are looking for discovery. How do we use 00:10:22.440 --> 00:10:25.399 AI to find that? potential big thing. Right. 00:10:25.519 --> 00:10:27.799 Moving past the usual suspects, that's where 00:10:27.799 --> 00:10:30.399 the AI can become a really powerful coin screener. 00:10:30.480 --> 00:10:32.720 This is how we scale the analysis. Okay, step 00:10:32.720 --> 00:10:36.360 six. Using chat GPT as a coin screener. Filtering 00:10:36.360 --> 00:10:39.080 the thousands down to a manageable few. Exactly. 00:10:39.179 --> 00:10:41.720 Finding potentially undervalued projects that 00:10:41.720 --> 00:10:44.379 might have serious growth potential. But you 00:10:44.379 --> 00:10:47.820 need very strict rule -based criteria for the 00:10:47.820 --> 00:10:49.940 AI to follow. And those rules have to be super 00:10:49.940 --> 00:10:52.019 specific, right? What kind of filters are we 00:10:52.019 --> 00:10:54.759 talking about? Yeah, precision is key. For instance, 00:10:55.139 --> 00:10:57.519 maybe you target small to mid cap projects. So 00:10:57.519 --> 00:10:59.919 you set the market cap filter, must be between, 00:10:59.919 --> 00:11:02.980 say, $50 million and $500 million. Not too big, 00:11:03.000 --> 00:11:05.120 not too tiny. OK, what else? You'd also want 00:11:05.120 --> 00:11:07.500 to narrow the focus to specific sectors that 00:11:07.500 --> 00:11:10.080 seem to have high potential or a strong narrative. 00:11:10.559 --> 00:11:12.480 The sources highlighted three possibilities. 00:11:12.620 --> 00:11:15.519 Which were? Artificial intelligence, so AI related 00:11:15.519 --> 00:11:19.659 crypto projects. Real world assets, RWA. That's 00:11:19.659 --> 00:11:22.360 crypto representing tangible stuff like real 00:11:22.360 --> 00:11:24.799 estate or bonds. Correct. Tokenizing real world 00:11:24.799 --> 00:11:28.559 things. And third, gaming or GameFi finance models 00:11:28.559 --> 00:11:31.340 built into online games. You'd tell the AI to 00:11:31.340 --> 00:11:33.460 look only within one of those chosen sectors. 00:11:33.519 --> 00:11:35.399 And we're definitely looking for real utility, 00:11:35.480 --> 00:11:37.559 not just hype. Oh, absolutely. That's maybe the 00:11:37.559 --> 00:11:40.240 most crucial filter. Any project the AI suggests 00:11:40.240 --> 00:11:43.139 must meet our basic fundamental checks from step 00:11:43.139 --> 00:11:46.740 one and two. So active team, clear use case, 00:11:47.259 --> 00:11:50.809 good tokenomics. Yep. And the big one, it cannot 00:11:50.809 --> 00:11:54.909 be a meme coin. No Doge clones. It must have 00:11:54.909 --> 00:11:57.990 a demonstrable real purpose. Okay, setting those 00:11:57.990 --> 00:12:00.590 strict rules seems vital. Moment of wonder. Seriously 00:12:00.590 --> 00:12:04.919 though, whoa. Just imagine the hours of manual 00:12:04.919 --> 00:12:06.820 research this saves. You're basically scaling 00:12:06.820 --> 00:12:09.620 your initial analysis across maybe hundreds of 00:12:09.620 --> 00:12:12.399 projects instantly. Yeah. Then your human brain 00:12:12.399 --> 00:12:14.860 power focuses only on the most promising candidates 00:12:14.860 --> 00:12:17.600 that pass the AI's filter. That scaling is definitely 00:12:17.600 --> 00:12:19.940 the game changer. Quick advanced tip from the 00:12:19.940 --> 00:12:22.840 sources, though. Don't just rely on one AI run, 00:12:23.019 --> 00:12:25.139 right? No way. Always cross -reference what chat 00:12:25.139 --> 00:12:27.590 GPT spits out. Check it against trusted data 00:12:27.590 --> 00:12:29.950 platforms like Glassnode or new sources like 00:12:29.950 --> 00:12:31.889 CoinDesk. Give them multiple perspectives. And 00:12:31.889 --> 00:12:34.110 keep the analysis updated frequently? Constantly. 00:12:34.250 --> 00:12:36.710 Things change fast. And the final, final word 00:12:36.710 --> 00:12:39.309 always has to be about risk management. Never 00:12:39.309 --> 00:12:41.289 invest more than you can afford to lose. Never. 00:12:41.429 --> 00:12:43.309 And have your rules set up before things get 00:12:43.309 --> 00:12:45.549 crazy to avoid FOMO, that fear of missing out 00:12:45.549 --> 00:12:47.169 when the market gets volatile and emotional. 00:12:47.789 --> 00:12:50.720 So... The big idea here really is integration, 00:12:50.980 --> 00:12:54.580 this whole six -step system. It transforms ChatGPT 00:12:54.580 --> 00:12:57.159 into this incredibly high -powered research assistant. 00:12:57.320 --> 00:12:59.299 But not a financial advisor telling you exactly 00:12:59.299 --> 00:13:01.860 what to buy or sell. Absolutely not. It's a structured 00:13:01.860 --> 00:13:04.120 process. You start with fundamental value, steps 00:13:04.120 --> 00:13:06.460 one and two. Then you look at technical timing, 00:13:06.840 --> 00:13:09.700 step three. Check the market mood with sentiment, 00:13:10.320 --> 00:13:13.019 step four. Automate your updates, step five. 00:13:13.279 --> 00:13:16.379 And finally, use the screener for focused discovery, 00:13:16.740 --> 00:13:19.659 step six. Okay, so building on that system, let's 00:13:19.659 --> 00:13:21.980 think about real world conflicts. What happens 00:13:21.980 --> 00:13:24.320 when a project looks fundamentally strong? Maybe 00:13:24.320 --> 00:13:26.860 it's got great RWA adoption, solid tokenomics, 00:13:27.460 --> 00:13:30.320 but the AI sentiment analysis, step four, shows 00:13:30.320 --> 00:13:32.600 overwhelming negative feelings, perhaps due to 00:13:32.600 --> 00:13:34.740 some external legal threat it surfaced. Yeah, 00:13:34.759 --> 00:13:37.039 that's a tough scenario. Fundamentals good, sentiment 00:13:37.039 --> 00:13:39.840 bad. So how should long -term investors think 00:13:39.840 --> 00:13:42.860 about that? Do you prioritize, say, the coin's 00:13:42.860 --> 00:13:45.299 strong community and its track record of development 00:13:45.299 --> 00:13:47.360 over that short -term price sphere the AI is 00:13:47.360 --> 00:13:50.259 picking up? Where's the balance? That's the complex 00:13:50.259 --> 00:13:52.440 decision point, isn't it? There's no single right 00:13:52.440 --> 00:13:54.179 answer. It depends on your risk tolerance and 00:13:54.179 --> 00:13:57.179 time frame. Hmm. Definitely something to think 00:13:57.179 --> 00:13:59.259 about. Yeah. Well, the best way to get a feel 00:13:59.259 --> 00:14:01.720 for this is probably just to try it. Maybe take 00:14:01.720 --> 00:14:04.600 that fundamental analysis prompt, step one, and 00:14:04.600 --> 00:14:06.600 run it on one crypto project you're curious about 00:14:06.600 --> 00:14:09.059 today. See what comes back. Good call to action. 00:14:09.559 --> 00:14:12.919 Get hands on. We'll be back next time for another 00:14:12.919 --> 00:14:13.399 deep dive.