1 00:00:00,640 --> 00:00:02,120 >> Anthony Weaver: This episode is sponsored by 2 00:00:02,160 --> 00:00:04,616 kitcaster.com back. 3 00:00:04,688 --> 00:00:07,608 >> Andrew: All this dinosaur blood and oil. Like, why can't 4 00:00:07,624 --> 00:00:10,280 we get down there and just put a rod, 5 00:00:10,440 --> 00:00:13,352 you know, into the lava and put some steam out there? 6 00:00:13,376 --> 00:00:15,960 And then, boom, there you go. Solve the problem. Iceland is 7 00:00:16,000 --> 00:00:17,224 100. That. 8 00:00:17,392 --> 00:00:20,392 >> Anthony Weaver: Yeah, they are. Um, and I actually thought that was actually pretty cool that 9 00:00:20,416 --> 00:00:22,952 they have that. And I'm, um, surprised nobody else had 10 00:00:23,056 --> 00:00:25,976 decided to think, like, oh, yeah, they doing something great. Let's 11 00:00:26,008 --> 00:00:27,800 copy that. Yes. 12 00:00:31,020 --> 00:00:33,828 Welcome, everybody back to another exciting show, the about 13 00:00:33,884 --> 00:00:36,612 that Water podcast, where we help the sandwich generation 14 00:00:36,676 --> 00:00:39,588 build strong financial habits so that they can 15 00:00:39,724 --> 00:00:42,564 spend money, talk about money, and even 16 00:00:42,652 --> 00:00:45,556 enjoy their money with confidence. Today I have somebody 17 00:00:45,588 --> 00:00:48,228 who is heavily invested in the AI 18 00:00:48,324 --> 00:00:50,692 spectrum. But remember, AI is just an 19 00:00:50,716 --> 00:00:53,572 umbrella. This is actually helping you to 20 00:00:53,596 --> 00:00:56,524 do better with your investments. And. And 21 00:00:56,692 --> 00:00:59,612 thank you so much for coming on today. How you 22 00:00:59,636 --> 00:01:00,636 doing today, Andrew? 23 00:01:00,748 --> 00:01:03,720 >> Andrew: I'm great, thanks. Thanks for having me on. Appreciate it. 24 00:01:04,020 --> 00:01:05,880 >> Anthony Weaver: No problem. So 25 00:01:06,900 --> 00:01:09,692 I'm tired of hearing AI. AI does AI 26 00:01:09,756 --> 00:01:12,700 That. Um, but we 27 00:01:12,740 --> 00:01:15,724 all. It's. It's our life right now, and we still trying to 28 00:01:15,732 --> 00:01:18,732 get better with it. And that's the reason. One. One of 29 00:01:18,756 --> 00:01:21,692 the reasons why I really glad that you decided to come on this 30 00:01:21,716 --> 00:01:23,936 show to kind of help us get better without 31 00:01:24,008 --> 00:01:26,580 finances, utilizing AI. 32 00:01:26,950 --> 00:01:29,020 Um, so first off, 33 00:01:30,360 --> 00:01:33,024 what is a good 34 00:01:33,112 --> 00:01:35,808 AI trade right now that you're looking 35 00:01:35,864 --> 00:01:36,460 into? 36 00:01:37,720 --> 00:01:40,464 >> Andrew: Oh, when we were doing one actually today, if I 37 00:01:40,472 --> 00:01:43,344 remember, is Big Bear AI, which is an AI 38 00:01:43,392 --> 00:01:45,616 company itself. It's also a stock 39 00:01:45,808 --> 00:01:48,768 bbai. Um, it's in the middle of 40 00:01:48,824 --> 00:01:51,580 a small, short squeeze, so they 41 00:01:51,620 --> 00:01:54,300 had, uh, a number of government contracts that they 42 00:01:54,340 --> 00:01:57,244 secured, which was a bit surprising because I 43 00:01:57,252 --> 00:01:59,880 thought. I thought the government was closed for a little while, 44 00:02:00,090 --> 00:02:03,068 um, with all the cuts they're making. But seems 45 00:02:03,084 --> 00:02:05,884 like they're still issuing new contracts, and they got a couple 46 00:02:05,932 --> 00:02:08,908 big ones. And so those who are betting against the share 47 00:02:08,964 --> 00:02:11,440 price are getting squeezed. 48 00:02:11,940 --> 00:02:14,892 So it started out about $3.80. 49 00:02:14,956 --> 00:02:16,220 Last time I looked at it was at 50 00:02:16,260 --> 00:02:18,620 $9.40 and 51 00:02:18,660 --> 00:02:21,558 climbing. So we sent a notice to our members, 52 00:02:21,614 --> 00:02:24,450 and we did the math. We're like, there's, uh, like, 53 00:02:24,910 --> 00:02:27,798 2.4 million options 54 00:02:27,894 --> 00:02:30,854 contracts that have been sold that expire 55 00:02:30,902 --> 00:02:33,766 in a week at $8. Like, these people are gonna 56 00:02:33,798 --> 00:02:36,390 have to get out of this position. And the only way to do that is 57 00:02:36,430 --> 00:02:39,302 to buy the stock, which forces it 58 00:02:39,326 --> 00:02:42,118 up. So, you know, within, like, three 59 00:02:42,174 --> 00:02:45,142 hours, uh, our members made 50%. 60 00:02:45,246 --> 00:02:47,238 Today I did, too. So that was fun. 61 00:02:47,294 --> 00:02:47,826 >> Anthony Weaver: Nice. 62 00:02:47,958 --> 00:02:50,682 >> Andrew: And, um, those are always Good. So it's an 63 00:02:50,706 --> 00:02:53,350 interesting AI company that uh, 64 00:02:53,410 --> 00:02:56,202 they really track foreign news. That's their 65 00:02:56,226 --> 00:02:59,034 specialty. Track and analyze news from foreign 66 00:02:59,082 --> 00:03:01,946 companies and kind of give a summary to the State Department, 67 00:03:02,018 --> 00:03:04,794 CIA agents and, and Defense Department 68 00:03:04,882 --> 00:03:07,530 about all the bad stuff that's being said about 69 00:03:07,570 --> 00:03:10,186 America globally and kind of rising 70 00:03:10,298 --> 00:03:13,002 trends. Uh, so as you can 71 00:03:13,026 --> 00:03:15,466 imagine, given some of the recent 72 00:03:15,538 --> 00:03:18,522 moves with this new 73 00:03:18,546 --> 00:03:21,210 administration, there's some concerns about market 74 00:03:21,330 --> 00:03:24,282 reactions globally, uh, to say the 75 00:03:24,306 --> 00:03:24,826 least. 76 00:03:24,978 --> 00:03:25,230 >> Anthony Weaver: Right. 77 00:03:25,230 --> 00:03:28,122 >> Andrew: Um, so they might be in the right place at the right time. 78 00:03:28,226 --> 00:03:30,230 You know, chaos is good for business. 79 00:03:30,850 --> 00:03:33,430 And I think the last contract they got was like, 80 00:03:33,730 --> 00:03:36,522 I want to say it's 185 million, but I could be 81 00:03:36,546 --> 00:03:38,106 remembering it might be more than that. 82 00:03:38,258 --> 00:03:40,970 >> Anthony Weaver: Jeez. I mean, that's good for them. Good for 83 00:03:41,010 --> 00:03:41,590 business. 84 00:03:42,340 --> 00:03:44,924 >> Andrew: Yeah, it's, it's, it's very good for business. 85 00:03:45,092 --> 00:03:48,028 You know, I, I wish them luck. I, uh, haven't 86 00:03:48,044 --> 00:03:50,760 had a chance to really go deep into their technology, 87 00:03:51,220 --> 00:03:53,900 but I did notice, you know, the 88 00:03:53,940 --> 00:03:56,684 stock for a while kind of traded like a meme stock, 89 00:03:56,812 --> 00:03:59,692 you know, for like last six months. Um, it just 90 00:03:59,716 --> 00:04:02,364 traded with a bundle of other ones that were like 91 00:04:02,452 --> 00:04:05,320 highly volatile, like the quantum stocks and 92 00:04:06,100 --> 00:04:08,936 stocks, uh, like upstarts. It was very like, was clearly 93 00:04:08,968 --> 00:04:11,880 algorithmic movements. But now 94 00:04:11,920 --> 00:04:14,808 it's like completely broken out from that. It's on its own and it's 95 00:04:14,824 --> 00:04:17,528 starting to get attention on the Reddit forums 96 00:04:17,544 --> 00:04:20,232 and you know, you got all the moon, moon and 97 00:04:20,256 --> 00:04:22,072 rocket icons coming out. 98 00:04:22,256 --> 00:04:23,000 >> Anthony Weaver: Yeah, look out. 99 00:04:23,040 --> 00:04:25,890 >> Andrew: Love all the time, 100 00:04:25,890 --> 00:04:28,824 uh, diamond hands and all that kind of stuff. Although, you know, 101 00:04:28,832 --> 00:04:31,608 I was reading reports and the diamond market is like dying 102 00:04:31,704 --> 00:04:34,584 because now they can make them in labs. So some of 103 00:04:34,592 --> 00:04:37,410 the companies like the beers and uh, 104 00:04:37,720 --> 00:04:40,560 Signet, they're like hoarding diamonds just, just, just 105 00:04:40,600 --> 00:04:43,280 to keep demand up. 106 00:04:43,400 --> 00:04:45,968 >> Anthony Weaver: Right. But if you think about it, because I, uh, think 107 00:04:46,024 --> 00:04:48,592 somebody was looking into the Rolex, for 108 00:04:48,616 --> 00:04:51,200 instance. The plain Jane. Rolex is 109 00:04:51,320 --> 00:04:54,272 more expensive and more of a timeless 110 00:04:54,336 --> 00:04:57,280 piece. But as soon as you start adding those diamonds into 111 00:04:57,320 --> 00:04:59,900 there, you're chipping away the gold 112 00:05:00,200 --> 00:05:03,200 and to add in the diamond. But the gold is 113 00:05:03,240 --> 00:05:06,014 more of a commodity, so it's constantly fluctuating 114 00:05:06,062 --> 00:05:08,718 dayto day, like midday. I believe it changes what is 115 00:05:08,774 --> 00:05:11,250 changed twice a day. Right. If I'm not mistaken. 116 00:05:12,150 --> 00:05:14,782 >> Andrew: Yeah, I mean the, the price is moving at least on my 117 00:05:14,806 --> 00:05:16,770 monitor all the time. Oh, 118 00:05:17,830 --> 00:05:20,720 a bit in ass. So, yeah, it's uh, 119 00:05:20,910 --> 00:05:23,582 it's, it's highly aligned with the 120 00:05:23,606 --> 00:05:26,430 treasury yields right now. So if you watch the 121 00:05:26,470 --> 00:05:29,358 10 year treasury yield, you know, every 122 00:05:29,414 --> 00:05:32,172 time starts to go up. 123 00:05:32,366 --> 00:05:35,248 >> Anthony Weaver: So you started, so you started this company called 124 00:05:35,304 --> 00:05:38,304 like Level Fields AI. Like what problems 125 00:05:38,352 --> 00:05:40,960 does this company actually starts to 126 00:05:41,000 --> 00:05:41,620 solve? 127 00:05:42,440 --> 00:05:44,500 >> Andrew: So the main challenge 128 00:05:45,080 --> 00:05:47,632 is trying to keep up with information 129 00:05:47,736 --> 00:05:50,464 flow. So if you are a Goldman 130 00:05:50,512 --> 00:05:53,312 Sachs size organization where you can 131 00:05:53,336 --> 00:05:55,936 assign one person to cover 10 stocks and 132 00:05:56,008 --> 00:05:58,928 then you know, have 2,000 people to cover the whole 133 00:05:58,944 --> 00:06:01,546 market and international markets, 134 00:06:01,738 --> 00:06:03,978 good for them. But if you're a 135 00:06:04,114 --> 00:06:06,906 independent investor and you're 136 00:06:06,938 --> 00:06:09,754 trying to monitor 6,000 stocks just on the 137 00:06:09,762 --> 00:06:12,670 US exchanges, all their announcements, 138 00:06:13,170 --> 00:06:16,074 you know, the four earnings releases per year, 139 00:06:16,162 --> 00:06:18,474 the product launches, the CEO 140 00:06:18,522 --> 00:06:21,514 changes, what's going on in the macro environment, what's coming out of 141 00:06:21,522 --> 00:06:24,442 the White House, uh, which is just in 142 00:06:24,466 --> 00:06:27,066 a job in of itself to follow the executive orders 143 00:06:27,098 --> 00:06:30,052 daily. You're drowning in information, you 144 00:06:30,076 --> 00:06:33,060 can't, you can't keep up with it. So what 145 00:06:33,100 --> 00:06:35,748 normally happens is people just kind of grab 146 00:06:35,844 --> 00:06:38,836 10 stocks that they know and that are talked 147 00:06:38,868 --> 00:06:41,040 about the most by the media. 148 00:06:41,500 --> 00:06:44,356 Mag 7, you know, the Teslas and the Googles 149 00:06:44,388 --> 00:06:46,996 and the Microsofts and Nvidias and everybody 150 00:06:47,028 --> 00:06:49,924 crowds the same trades and the media keeps talking 151 00:06:49,972 --> 00:06:52,932 about the same companies. But there's like thousands of 152 00:06:52,956 --> 00:06:55,460 other really great companies out there that you're missing out 153 00:06:55,500 --> 00:06:58,060 on while everyone's pouring into the same 154 00:06:58,100 --> 00:07:00,732 trades. So the idea was 155 00:07:00,916 --> 00:07:03,628 can we kind of level the playing field and 156 00:07:03,684 --> 00:07:06,316 give superpowers to an average investor 157 00:07:06,508 --> 00:07:09,436 by having AI search agents 158 00:07:09,628 --> 00:07:12,028 monitor for not just 159 00:07:12,084 --> 00:07:14,668 news, but news that actually matters, 160 00:07:14,764 --> 00:07:17,436 Right. Company announcements that we have 161 00:07:17,508 --> 00:07:19,900 already correlated to share price 162 00:07:19,940 --> 00:07:22,792 moves. So by the time you hear about it from, 163 00:07:22,916 --> 00:07:25,648 from our system, you know, like this is an event 164 00:07:25,704 --> 00:07:28,592 that's going to change the share price. What you do 165 00:07:28,616 --> 00:07:31,584 with that is up to you. Some people trade on it, some people are just using it 166 00:07:31,592 --> 00:07:34,592 to monitor, you know, their existing holdings. Some 167 00:07:34,616 --> 00:07:37,152 people are just looking for companies they never heard of. 168 00:07:37,336 --> 00:07:40,160 And what starts to happen is you find these 169 00:07:40,200 --> 00:07:42,960 like really interesting gems out there. You know, 170 00:07:43,000 --> 00:07:45,792 companies that uh, they'll announce they're doing a 171 00:07:45,816 --> 00:07:48,784 special dividend of like 8% and all you have to 172 00:07:48,792 --> 00:07:51,680 do is buy the stock and hold it for two days and 173 00:07:51,720 --> 00:07:53,768 you're eligible for an 8% dividend. 174 00:07:53,904 --> 00:07:54,408 >> Anthony Weaver: Nice. 175 00:07:54,504 --> 00:07:57,288 >> Andrew: You can look at that and say, well why are they doing 176 00:07:57,344 --> 00:08:00,020 it? That's the next question. And you might find 177 00:08:00,320 --> 00:08:03,128 something, some, some strange correlation and that's there, 178 00:08:03,184 --> 00:08:05,992 right? Like a coal company starts to do it. All of a 179 00:08:06,016 --> 00:08:08,984 sudden you might ask what's going on 180 00:08:08,992 --> 00:08:11,880 with coal? And then you look and you see coal prices have like 181 00:08:11,920 --> 00:08:14,500 tripled because the war started in, 182 00:08:14,640 --> 00:08:17,608 uh, in Ukraine by Russia, and Russia cuts 183 00:08:17,624 --> 00:08:20,600 off the gas to Europe and the Europeans start switching to coal away 184 00:08:20,640 --> 00:08:23,142 from gas. Right. So those things have this like, 185 00:08:23,166 --> 00:08:25,462 butterfly effect that the system's able to 186 00:08:25,486 --> 00:08:28,326 identify for you. So you don't think about it. 187 00:08:28,478 --> 00:08:31,350 >> Anthony Weaver: That is great. Um, because we were just talking about it like 188 00:08:31,470 --> 00:08:34,390 in the green room, I guess you'd say, is like 189 00:08:34,430 --> 00:08:37,110 how the President is saying certain 190 00:08:37,150 --> 00:08:40,022 things and next thing you know, we don't know what's going to 191 00:08:40,046 --> 00:08:40,850 happen next. 192 00:08:42,270 --> 00:08:45,222 >> Andrew: Yeah, yeah, exactly. And you start to see some 193 00:08:45,246 --> 00:08:47,330 of the reactions. Right? So like 194 00:08:47,820 --> 00:08:50,440 oil companies, for example, 195 00:08:50,780 --> 00:08:53,760 they know, right? Deregulation is coming. 196 00:08:54,300 --> 00:08:57,140 They don't know exactly what that looks. Well, maybe they do. I don't know. 197 00:08:57,260 --> 00:08:59,812 They could have had the conversations behind the scenes with Trump, who 198 00:08:59,836 --> 00:09:02,772 knows? But they start to take a little bit of a 199 00:09:02,796 --> 00:09:05,732 more relaxed approach with their cash. So 200 00:09:05,756 --> 00:09:08,452 they're sitting on cash just in case, and then all of a sudden they 201 00:09:08,476 --> 00:09:11,444 realize, oh, in the next four years we're going to get 202 00:09:11,452 --> 00:09:14,284 rid of all these regulations and fines. 203 00:09:14,452 --> 00:09:17,020 We, we can actually take our cash and buy back our 204 00:09:17,060 --> 00:09:20,060 stock. Fewer shares means more 205 00:09:20,100 --> 00:09:22,796 value per share, drives the share price up. 206 00:09:22,948 --> 00:09:25,644 And so you start to see this, this reaction on a daily 207 00:09:25,692 --> 00:09:28,604 basis to like these executive orders that 208 00:09:28,612 --> 00:09:31,564 are coming out seemingly every 209 00:09:31,652 --> 00:09:34,460 few hours. And it's changing the market every 210 00:09:34,500 --> 00:09:37,388 time it drops. I mean, it's like one day 211 00:09:37,444 --> 00:09:40,284 it was like, oh, you know, slap tariffs on Canada 212 00:09:40,372 --> 00:09:43,344 and Mexico. So you see all 213 00:09:43,352 --> 00:09:45,540 the car companies just crater. 214 00:09:46,120 --> 00:09:48,736 And then it was like two hours later, Mexico's 215 00:09:48,768 --> 00:09:50,540 like, we made a deal. 216 00:09:51,000 --> 00:09:51,888 >> Anthony Weaver: Yeah, I heard. 217 00:09:51,984 --> 00:09:54,336 >> Andrew: Yeah, the auto stocks 218 00:09:54,368 --> 00:09:57,230 popped and you know, we're like, all right, igm, 219 00:09:57,230 --> 00:10:00,180 um, you know, make their stuff in Mexico. 220 00:10:00,410 --> 00:10:03,328 >> Anthony Weaver: Um, can you explain a little bit like how 221 00:10:03,464 --> 00:10:06,272 like level fields actually look at the 222 00:10:06,296 --> 00:10:08,460 approach of event driven 223 00:10:08,540 --> 00:10:09,440 investing? 224 00:10:10,100 --> 00:10:12,892 >> Andrew: Yeah, so we, we're, we're 225 00:10:12,956 --> 00:10:15,324 effectively doing what large hedge funds 226 00:10:15,372 --> 00:10:17,500 do to make themselves so 227 00:10:17,540 --> 00:10:20,364 successful. M. The difference is we're 228 00:10:20,412 --> 00:10:23,228 democratizing access to it. So if 229 00:10:23,284 --> 00:10:26,240 you're a Bill Amman running Pershing Square, 230 00:10:27,040 --> 00:10:29,676 uh, you know, and he's responsible for. It's 231 00:10:29,868 --> 00:10:32,732 commonly referred to in the industry as the greatest trade of 232 00:10:32,756 --> 00:10:35,724 all time. Which I don't know if 233 00:10:35,732 --> 00:10:38,000 it was the greatest, but it was certainly one of the biggest. 234 00:10:38,500 --> 00:10:41,020 And he was basically shorting 235 00:10:41,180 --> 00:10:44,092 Covid time, shorting the 236 00:10:44,116 --> 00:10:46,720 market during COVID made two and a half billion dollars 237 00:10:47,060 --> 00:10:49,980 inside of a, uh, month of a 20 238 00:10:50,020 --> 00:10:52,940 million dollar or so investment. So they do this 239 00:10:52,980 --> 00:10:55,692 stuff all the time, Right. They're betting on the events and then 240 00:10:55,716 --> 00:10:58,700 There's a reason for it. About 15% of 241 00:10:58,740 --> 00:11:01,624 all their trades are based on events. Like purely 242 00:11:01,672 --> 00:11:04,440 events and other repositioning is often 243 00:11:04,480 --> 00:11:07,384 driven by events. But you need a lot of people to monitor the market, 244 00:11:07,472 --> 00:11:10,312 to figure out what to do and how to act and how to react to these 245 00:11:10,336 --> 00:11:13,320 events. And you need that like 20 year knowledge on 246 00:11:13,360 --> 00:11:16,312 Wall street to know how to do this. So we've taken all of 247 00:11:16,336 --> 00:11:19,208 that knowledge and all that capability and 248 00:11:19,264 --> 00:11:22,120 we have put it in the system. So you don't need to 249 00:11:22,160 --> 00:11:25,064 have been an expert, you know, for 20 years 250 00:11:25,152 --> 00:11:28,002 on wall Street. The system just figures that out 251 00:11:28,026 --> 00:11:30,898 for you. We've already done the correlation analysis. The event 252 00:11:30,954 --> 00:11:33,730 comes out, you know, it's proven to move share prices. It 253 00:11:33,770 --> 00:11:36,418 matters. You could ignore a lot of the noise. 254 00:11:36,594 --> 00:11:39,458 All these opinions out there about what's going to be the next 255 00:11:39,514 --> 00:11:41,922 Nvidia, that is just a 256 00:11:41,946 --> 00:11:43,390 joke, right? 257 00:11:43,520 --> 00:11:46,402 Uh, we, we just 258 00:11:46,426 --> 00:11:49,202 take a very sensible point of view. This is our philosophy is 259 00:11:49,306 --> 00:11:51,714 you cannot predict the future beyond a couple 260 00:11:51,762 --> 00:11:54,728 years. Right. So we can kind of see like the effect 261 00:11:54,784 --> 00:11:57,720 of some policies maybe a year out, uh, two years out. After 262 00:11:57,760 --> 00:12:00,696 that, you don't really know because there's other factors that happen. You've 263 00:12:00,728 --> 00:12:02,712 got wars, 264 00:12:02,856 --> 00:12:05,680 pandemics, weather events, policy, uh, 265 00:12:06,176 --> 00:12:08,600 shifts, you know, shifts in the general 266 00:12:08,720 --> 00:12:11,512 population, competition that comes 267 00:12:11,536 --> 00:12:14,424 in. So we kind of take this mindset of like, why bother 268 00:12:14,472 --> 00:12:17,400 trying to go long term and figure out all these long term 269 00:12:17,440 --> 00:12:20,010 winners when there's a million short term 270 00:12:20,050 --> 00:12:22,858 opportunities that you can make money 271 00:12:22,914 --> 00:12:25,562 off of and then put the money back into a safe 272 00:12:25,626 --> 00:12:28,234 place so that, you know, some 273 00:12:28,322 --> 00:12:30,890 politician or leader somewhere doesn't just 274 00:12:30,930 --> 00:12:33,834 decide that they want to, you know, invade the rest of Europe and the 275 00:12:33,842 --> 00:12:36,426 market crashes. You know, there's always some 276 00:12:36,498 --> 00:12:39,178 potential black swan event that can wipe everything out. 277 00:12:39,314 --> 00:12:39,850 >> Anthony Weaver: Yeah. 278 00:12:39,930 --> 00:12:42,650 >> Andrew: And so we look at that and say, you know, if, uh, you have a 279 00:12:42,690 --> 00:12:45,684 series of different types of events, they are predictive of 280 00:12:45,692 --> 00:12:48,164 the next three months, maybe six months, maybe 281 00:12:48,212 --> 00:12:51,124 12 after that. You know, we don't know. But 282 00:12:51,132 --> 00:12:53,956 if you can make 50% in 12 months, why would you bother 283 00:12:53,988 --> 00:12:56,948 holding something, you know, for, for 284 00:12:57,004 --> 00:12:59,892 years, during the period of time 285 00:12:59,916 --> 00:13:02,820 when it's already overvalued? And you see that again 286 00:13:02,860 --> 00:13:05,652 and again. Like, you know, think of a stock like 287 00:13:05,676 --> 00:13:06,468 Zoom. 288 00:13:06,644 --> 00:13:06,996 >> Anthony Weaver: Yeah. 289 00:13:07,028 --> 00:13:09,540 >> Andrew: Which was like the biggest dog of the pandemic, right? 290 00:13:09,580 --> 00:13:10,500 >> Anthony Weaver: Definitely. Yeah. 291 00:13:10,580 --> 00:13:13,380 >> Andrew: And it's just been sitting around, you know, think low 292 00:13:13,420 --> 00:13:16,244 30s forever. So if you 293 00:13:16,332 --> 00:13:19,280 bought and held, you would have 294 00:13:19,580 --> 00:13:22,420 wasted 400% gain and be 295 00:13:22,460 --> 00:13:25,076 right back to where you entered over a Five year period. 296 00:13:25,148 --> 00:13:26,640 Like that's not fun. 297 00:13:27,340 --> 00:13:30,196 >> Anthony Weaver: So how. Well, because I was um, thinking 298 00:13:30,228 --> 00:13:33,092 about that, a lot of people keep saying as well, you can 299 00:13:33,116 --> 00:13:36,106 do dollar cost averaging. For those of you who are 300 00:13:36,228 --> 00:13:38,942 not new to this, it's just pretty much you just take that flat 301 00:13:39,006 --> 00:13:41,934 fee, just gonna buy whatever the stock is at either on a 302 00:13:41,942 --> 00:13:44,718 monthly, yearly, weekly basis, whatever you 303 00:13:44,774 --> 00:13:47,694 decide to do. And they just like, all right, well 304 00:13:47,702 --> 00:13:48,970 I'm just sit on it. 305 00:13:49,120 --> 00:13:51,502 Um, but also from a financial 306 00:13:51,606 --> 00:13:54,190 perspective, a lot of the times most of us in this 307 00:13:54,230 --> 00:13:57,038 community talk about ETFs and just kind of like, hey, just 308 00:13:57,094 --> 00:13:59,742 keep it a low cost etf. What is the 309 00:13:59,766 --> 00:14:02,602 benefit of utilizing? Is there a 310 00:14:02,626 --> 00:14:05,610 fee to use this annually? Uh, or is it based on 311 00:14:05,650 --> 00:14:08,234 how much money you put in there, how the 312 00:14:08,322 --> 00:14:11,242 finances work for utilizing such an AI platform like 313 00:14:11,266 --> 00:14:12,282 level fields? 314 00:14:12,426 --> 00:14:15,034 >> Andrew: Sure. So our starting price is 315 00:14:15,202 --> 00:14:18,122 $300 a year. To get 316 00:14:18,146 --> 00:14:21,034 in, use the platform if you want like the premier 317 00:14:21,082 --> 00:14:23,770 version with all the bells and whistles and unlimited everything and 318 00:14:23,810 --> 00:14:26,714 some analyst assisted trades like the one I 319 00:14:26,722 --> 00:14:28,956 was mentioning that we sent out, that's 320 00:14:28,988 --> 00:14:31,596 167amonth or it's 321 00:14:31,628 --> 00:14:33,680 20% discounted if you do annual. 322 00:14:34,350 --> 00:14:36,040 Um, so if you look at it like 323 00:14:36,980 --> 00:14:39,964 the market rate I think just sitting in cash 324 00:14:40,012 --> 00:14:42,860 right now, somewhere between four and four and a quarter percent for a 325 00:14:42,900 --> 00:14:45,692 year, a really good dividend 326 00:14:45,756 --> 00:14:48,684 stock would probably give, you know, three and a half, four and 327 00:14:48,692 --> 00:14:50,520 a half percent yield per year. 328 00:14:51,380 --> 00:14:54,332 We're doing those events and then happen in like an 329 00:14:54,356 --> 00:14:56,976 hour. M. So you can kind of 330 00:14:57,128 --> 00:14:59,792 do repeated events. Let's say you did one a 331 00:14:59,816 --> 00:15:02,288 week and you made 3% a week. 332 00:15:02,344 --> 00:15:04,580 Conservatively we have a lot of events. 333 00:15:05,080 --> 00:15:07,712 Well, that's 12% a 334 00:15:07,736 --> 00:15:10,430 month times 12 months and you're up uh, 335 00:15:10,430 --> 00:15:13,376 144%. Now that's obviously if everything goes 336 00:15:13,408 --> 00:15:15,744 to plan. But even if you, you 337 00:15:15,912 --> 00:15:18,624 create some losses along the way, 338 00:15:18,792 --> 00:15:21,760 that's still going to be 10 times what you can get just 339 00:15:21,800 --> 00:15:24,426 sticking your money in the S and P and 340 00:15:24,498 --> 00:15:27,402 leaving it long term. I mean the 341 00:15:27,426 --> 00:15:29,866 index investing is good, it's safe. It's 342 00:15:29,898 --> 00:15:32,618 easy to do if you're dollar cost 343 00:15:32,674 --> 00:15:35,482 averaging and you're doing the indexes. But there 344 00:15:35,506 --> 00:15:38,442 are big drawdowns, right? Covid was 345 00:15:38,466 --> 00:15:40,030 a 30 drawdown, 346 00:15:40,850 --> 00:15:43,098 2022, we had a 25% 347 00:15:43,154 --> 00:15:46,122 drawdown. We go back in end 348 00:15:46,146 --> 00:15:48,830 of 2018 there was a 20% drawdown. 349 00:15:49,340 --> 00:15:52,292 When you look at the financial crisis, that was a 350 00:15:52,316 --> 00:15:55,044 50% drawdown in 2008. 351 00:15:55,132 --> 00:15:58,040 And then in 2000 it was a 60% drawdown. 352 00:15:58,620 --> 00:16:01,348 For you know, the Nasdaq and the S P. 353 00:16:01,484 --> 00:16:03,876 And then from 2000 to about 354 00:16:03,948 --> 00:16:06,804 2013 there were zero returns for the 355 00:16:06,812 --> 00:16:09,396 S P500 zero. 356 00:16:09,548 --> 00:16:12,292 Wow. So you would not be making anything unless you did the 357 00:16:12,316 --> 00:16:15,204 dollar cost averaging and we're buying the dips along the way. But if you 358 00:16:15,212 --> 00:16:17,560 just bought and held like there's no returns. 359 00:16:18,000 --> 00:16:20,500 So there's a lot of volatility there. And 360 00:16:20,800 --> 00:16:23,624 not everybody has that kind of time frame. 361 00:16:23,752 --> 00:16:24,296 >> Anthony Weaver: Yes. 362 00:16:24,408 --> 00:16:27,400 >> Andrew: Where you can just wait forever until things come 363 00:16:27,440 --> 00:16:30,120 back. Right. Because some of us are old 364 00:16:30,240 --> 00:16:33,080 and we don't have that much time. Some of us actually need 365 00:16:33,120 --> 00:16:35,960 our money and want to use it, not just kind of watch 366 00:16:36,000 --> 00:16:38,860 it come and go like you're looking at the ocean. 367 00:16:40,800 --> 00:16:43,656 >> Anthony Weaver: You got that right. Because um, I'm thinking 368 00:16:43,688 --> 00:16:46,574 of. For some of us who are like the 369 00:16:46,582 --> 00:16:49,342 person that's listening right now is more than 370 00:16:49,366 --> 00:16:52,174 likely they have because I focus on the sandwich generation 371 00:16:52,222 --> 00:16:54,910 which means like they have a parent or, and, or 372 00:16:55,030 --> 00:16:57,450 child at the same time and 373 00:16:57,750 --> 00:17:00,270 they looking at their finances like look, I don't have that 374 00:17:00,310 --> 00:17:03,310 much to deal with it but I really need to do 375 00:17:03,350 --> 00:17:06,174 something with my money and or 376 00:17:06,342 --> 00:17:09,342 my parent is actually getting older and I'm about to put them 377 00:17:09,366 --> 00:17:11,902 in like a retirement home because I'm tired of them living with 378 00:17:11,926 --> 00:17:14,822 me. But m, they want to at least do 379 00:17:14,846 --> 00:17:17,430 something with their finances uh, to make this 380 00:17:17,470 --> 00:17:20,454 happen. And it seems like the AI 381 00:17:20,502 --> 00:17:23,350 tool will also sell and buy for 382 00:17:23,390 --> 00:17:24,610 you at the same time. 383 00:17:25,070 --> 00:17:27,990 >> Andrew: So we don't do the trading. That's a whole different 384 00:17:28,030 --> 00:17:30,966 level of regulation that we just don't want to access, 385 00:17:31,118 --> 00:17:33,542 don't want to deal with the sec. So it's think about it 386 00:17:33,566 --> 00:17:36,438 like uh, it's an AI 387 00:17:36,534 --> 00:17:39,392 search agent with analytics. So if 388 00:17:39,416 --> 00:17:42,400 you take like a Google News with a lot 389 00:17:42,440 --> 00:17:45,344 more features, more power, more accuracy, no false 390 00:17:45,392 --> 00:17:47,952 positives and with numbers you can set up an 391 00:17:47,976 --> 00:17:50,912 alert and we have like preset alerts. You can 392 00:17:50,936 --> 00:17:53,792 say, I want to know when you know, the 393 00:17:53,816 --> 00:17:55,936 CEO of a poor performing company 394 00:17:56,088 --> 00:17:59,024 leaves, I'm going to set the financials. 395 00:17:59,072 --> 00:18:01,840 Because if you look at that scenario, the 396 00:18:01,880 --> 00:18:04,816 market rewards the share price of like finally 397 00:18:04,848 --> 00:18:07,780 we got rid of this guy. You know, now we've got 398 00:18:07,820 --> 00:18:10,788 hope that there's someone else that can come in and turn it around. 399 00:18:10,844 --> 00:18:13,160 Like we saw with the Starbucks situation. 400 00:18:14,060 --> 00:18:16,484 So they grabbed the CEO from Chipotle 401 00:18:16,532 --> 00:18:19,508 recently. Starbucks stocks up 25% 402 00:18:19,564 --> 00:18:20,560 just on hope. 403 00:18:21,100 --> 00:18:21,716 >> Anthony Weaver: Wow. 404 00:18:21,828 --> 00:18:24,676 >> Andrew: Don't know if it's going to make us get coffee faster 405 00:18:24,788 --> 00:18:27,620 yet, but they did wonders for the share 406 00:18:27,660 --> 00:18:30,628 price. So you could look for those events and they happen 407 00:18:30,684 --> 00:18:33,572 again and again and again. And that's kind of the interesting part is like, you 408 00:18:33,596 --> 00:18:36,246 don't need to be an expert in fundamental 409 00:18:36,278 --> 00:18:38,902 analysis like Warren Buffett. You just need to 410 00:18:38,926 --> 00:18:41,862 know, hey, every time this event happens, this 411 00:18:41,886 --> 00:18:44,582 is how the market reacts. And there might be a 412 00:18:44,606 --> 00:18:47,462 CEO departure of a poor performing company a 413 00:18:47,486 --> 00:18:50,342 hundred times a year. So you look at 414 00:18:50,366 --> 00:18:53,158 like 100 events and you can average 5% 415 00:18:53,214 --> 00:18:56,134 per event. That's 500 gain. There's a lot 416 00:18:56,142 --> 00:18:59,094 of that you can build in where you can say, you know, most of 417 00:18:59,102 --> 00:19:01,958 my money I want to do this is what our users often do. They'll 418 00:19:01,974 --> 00:19:04,618 say, I've got 80% of my money, long 419 00:19:04,674 --> 00:19:07,594 term, not going to touch it. You know, whether it's in a 420 00:19:07,602 --> 00:19:10,458 529 or 401k right 421 00:19:10,594 --> 00:19:13,258 in the indexes. But 422 00:19:13,394 --> 00:19:16,378 I would like to get some higher returns and 423 00:19:16,434 --> 00:19:19,322 have some kind of walking around extra money. So they take 424 00:19:19,426 --> 00:19:22,346 10%, 20% and they devote it to event driven 425 00:19:22,378 --> 00:19:24,986 investing and they look for higher 426 00:19:25,058 --> 00:19:28,058 returns and you know, 427 00:19:28,114 --> 00:19:30,700 sometimes it's just steady 3%, 428 00:19:30,816 --> 00:19:33,660 4%, 5% moves. Um, but in there 429 00:19:33,700 --> 00:19:36,412 there's always, you know, at least once a 430 00:19:36,436 --> 00:19:39,356 month, several events that are 431 00:19:39,508 --> 00:19:42,332 50, 100. There was one that was 600 432 00:19:42,436 --> 00:19:43,400 in a day. 433 00:19:43,860 --> 00:19:44,572 >> Anthony Weaver: Nice. 434 00:19:44,716 --> 00:19:47,628 >> Andrew: And you know, you capture one of those, like you've just 435 00:19:47,684 --> 00:19:50,332 done your return for five years, six years, 436 00:19:50,436 --> 00:19:53,160 and you could do it in a 24 hour period. 437 00:19:53,620 --> 00:19:56,366 So we're not saying that that's every event. There's 438 00:19:56,398 --> 00:19:59,262 definitely like a distribution curve, but 439 00:19:59,286 --> 00:20:01,950 it makes it a lot easier. And you can not 440 00:20:01,990 --> 00:20:04,974 necessarily be an expert at the market and do this, 441 00:20:05,062 --> 00:20:07,646 be like, oh, I get it, you know, like Jeff 442 00:20:07,678 --> 00:20:10,670 Bezos leaves Amazon. Amazon stock's not going to go 443 00:20:10,710 --> 00:20:11,290 up. 444 00:20:11,750 --> 00:20:13,490 >> Anthony Weaver: Yeah, that's true. Because everybody. 445 00:20:13,830 --> 00:20:16,782 >> Andrew: Yeah, you know, so like if you hear about it and can move 446 00:20:16,806 --> 00:20:19,694 on it, like, and then our analytics will show 447 00:20:19,782 --> 00:20:22,654 it doesn't only go down, it goes down for 448 00:20:22,662 --> 00:20:25,186 about a month and then it starts to turn around after 449 00:20:25,258 --> 00:20:28,082 10 dip. So what do you do? You could 450 00:20:28,106 --> 00:20:31,042 short the stock or you could just wait for the dip, buy the dip, and 451 00:20:31,066 --> 00:20:34,034 it comes up 10% and then you still own Amazon, 452 00:20:34,162 --> 00:20:37,074 but you bought it at a cheaper price. So 453 00:20:37,162 --> 00:20:40,130 those are simple kind of strategies that people play 454 00:20:40,170 --> 00:20:43,042 off. Um, if you're into stock options, you 455 00:20:43,066 --> 00:20:45,762 know, you can pretty much multiply the 456 00:20:45,786 --> 00:20:48,690 numbers, I said by 10, um, 457 00:20:48,820 --> 00:20:51,436 you know, because they have greater 458 00:20:51,468 --> 00:20:54,412 gains. Um, but we try to make it really easy. And 459 00:20:54,436 --> 00:20:57,244 even somebody who just wants to do like basic Research on a 460 00:20:57,252 --> 00:21:00,092 stock we cut down a lot of the time, right. So you go 461 00:21:00,116 --> 00:21:03,084 in and you're looking at your, maybe your Apple 462 00:21:03,132 --> 00:21:04,988 stock and you're like, why the hell is it down? 463 00:21:05,124 --> 00:21:07,900 >> Anthony Weaver: Right, that's one of the things I was going to ask next. Yeah, yeah, 464 00:21:07,980 --> 00:21:10,892 it's like, is it more like a research tool to kind 465 00:21:10,916 --> 00:21:13,836 of help out, um, what's the current 466 00:21:13,908 --> 00:21:16,562 portfolio that you have right now? So you was like, 467 00:21:16,586 --> 00:21:19,186 hey, I'm looking at this long term 468 00:21:19,338 --> 00:21:22,130 or even shortterm, like say like next week, will 469 00:21:22,170 --> 00:21:25,122 this go down? M. Is it a good time to buy or a good time to 470 00:21:25,146 --> 00:21:25,710 sell? 471 00:21:26,410 --> 00:21:29,218 >> Andrew: Yeah. And you can, I mean the way it will work 472 00:21:29,274 --> 00:21:32,002 is you subscribe, you can either 473 00:21:32,066 --> 00:21:35,058 track a stock, you can track a watch list, or you can just track an event 474 00:21:35,114 --> 00:21:38,002 type. Mhm. So you can say, you know what, every 475 00:21:38,026 --> 00:21:40,754 time this event happens, just let me know, I don't care what the stock 476 00:21:40,802 --> 00:21:43,708 is. Or you could also set it say, you know what, 477 00:21:43,764 --> 00:21:46,588 anytime that um, you know, large 478 00:21:46,644 --> 00:21:49,612 cap tech stock is doing this type of thing, a 479 00:21:49,636 --> 00:21:52,540 product launch, let me know. And then we have 480 00:21:52,580 --> 00:21:55,324 kind of a analytics that will show like the win rate, the 481 00:21:55,332 --> 00:21:57,804 average price, move over a day, 10 days a 482 00:21:57,812 --> 00:22:00,520 month. And so it's like a weather report, 483 00:22:00,980 --> 00:22:03,628 right? You're looking at, you're like, oh, there's an 80% chance of 484 00:22:03,684 --> 00:22:06,364 rain. It's supposed to rain for five hours. 485 00:22:06,532 --> 00:22:09,520 I get it. I need an umbrella, pair of boots 486 00:22:10,090 --> 00:22:12,994 and you know, whatever hats for the kids. You could kind of 487 00:22:13,002 --> 00:22:15,310 do the same thing with the stock market, like. 488 00:22:15,740 --> 00:22:18,690 >> Anthony Weaver: M. I like that the way how almost 489 00:22:18,730 --> 00:22:21,682 like a, um, like you said, a weather ticker. And that would be 490 00:22:21,706 --> 00:22:24,690 good to have like on the display and running, um, almost 491 00:22:24,730 --> 00:22:27,522 like 24 hours almost. Instead of watching the Bloomberg 492 00:22:27,586 --> 00:22:30,562 and all of them showing their little ticker, you can 493 00:22:30,586 --> 00:22:32,962 look at your own and create your own list. 494 00:22:33,146 --> 00:22:36,082 >> Andrew: Yeah, exactly. And then, you know, if you, if you only want to 495 00:22:36,106 --> 00:22:38,992 get alerted at a certain time of day, you can do that. Like, 496 00:22:39,016 --> 00:22:41,504 don't bother me the rest of the day. I just send it to me at 9 o'clock in the 497 00:22:41,512 --> 00:22:44,420 morning. I mean there's a lot of flexibility. 498 00:22:45,000 --> 00:22:47,824 So we, we're trying to cut down the time and the hassle 499 00:22:47,872 --> 00:22:50,512 and allow people access to more of the 500 00:22:50,536 --> 00:22:53,312 market. Because we feel that there's a 501 00:22:53,336 --> 00:22:55,728 huge media bias towards the big 502 00:22:55,784 --> 00:22:58,544 companies because it creates 503 00:22:58,592 --> 00:23:01,584 interest, it creates clicks. The clicks drive advertising 504 00:23:01,632 --> 00:23:04,270 revenue. That's what the publishers actually care 505 00:23:04,310 --> 00:23:04,890 about. 506 00:23:05,030 --> 00:23:05,050 >> Anthony Weaver: Mhm. 507 00:23:05,590 --> 00:23:08,462 >> Andrew: So that's why Elon Musk is in the news every Day it 508 00:23:08,486 --> 00:23:11,438 drives clicks and eyeballs. You know, even if it's 509 00:23:11,454 --> 00:23:13,630 a private company like Twitter, they keep talking about. 510 00:23:13,670 --> 00:23:16,590 >> Anthony Weaver: It and people buy 511 00:23:16,630 --> 00:23:17,262 into it. 512 00:23:17,366 --> 00:23:19,774 >> Andrew: Yeah, people buy into it, but you miss out on all the other stuff 513 00:23:19,822 --> 00:23:22,782 until, and this is important too, like until you 514 00:23:22,806 --> 00:23:25,774 see a stock that's up, you know, 300% and then 515 00:23:25,782 --> 00:23:28,670 it makes the news finally. And, and you're like, how, uh, is this 516 00:23:28,710 --> 00:23:31,500 helpful? It's already up. Like I'm gonna buy it here, 517 00:23:31,540 --> 00:23:34,380 up 300. Like, tell me when it's starting to 518 00:23:34,420 --> 00:23:37,340 make that move. And that's where the other 519 00:23:37,380 --> 00:23:40,040 aspect, the level fields is really focused on. 520 00:23:40,420 --> 00:23:43,308 Well, what are the events that cause those big moves over 521 00:23:43,364 --> 00:23:46,268 time? Like what's that catalyst that starts that 522 00:23:46,324 --> 00:23:48,812 process? Like how, how we find those like 523 00:23:48,836 --> 00:23:51,372 breadcrumb trails that are left by the 524 00:23:51,396 --> 00:23:54,252 leadership to then figure out, okay, I 525 00:23:54,276 --> 00:23:57,116 see what's going on here. Like they're actually swimming 526 00:23:57,148 --> 00:24:00,040 in cash, which is why they're giving away all their money. 527 00:24:00,420 --> 00:24:03,020 And if I get them at that 528 00:24:03,060 --> 00:24:05,948 point and I hang on for, you know, a year 529 00:24:06,004 --> 00:24:08,640 ride, then you can ride out that longer, 530 00:24:09,670 --> 00:24:12,040 uh, share price increase and make a lot more money. 531 00:24:12,980 --> 00:24:15,788 So yeah, it's taken 532 00:24:15,844 --> 00:24:18,332 out risk, it's taken out time instead of 533 00:24:18,356 --> 00:24:20,000 maximizing returns. 534 00:24:20,610 --> 00:24:23,382 >> Anthony Weaver: Um, and it's also the sound like it's easing. 535 00:24:23,446 --> 00:24:26,390 He was easing up, uh, the thought 536 00:24:26,430 --> 00:24:29,142 process and getting out of your feelings in this 537 00:24:29,166 --> 00:24:29,590 process. 538 00:24:29,710 --> 00:24:32,198 >> Andrew: That's right. We, we don't want feelings, we want 539 00:24:32,254 --> 00:24:35,190 data. We got enough feelings in this world on 540 00:24:35,230 --> 00:24:37,910 politics. We'll keep the feelings aside, 541 00:24:37,990 --> 00:24:40,742 make data driven decisions. And then, you know, 542 00:24:40,766 --> 00:24:43,462 and everyone's been there, right? Like you're sitting there and you're reading a 543 00:24:43,486 --> 00:24:46,342 headline, you're like, oh, uh, crap, I gotta get rid of this thing. Is this 544 00:24:46,366 --> 00:24:48,600 gonna be bad? This sounds bad. Know 545 00:24:49,460 --> 00:24:52,348 there was an interesting research report 546 00:24:52,404 --> 00:24:53,900 that came out that said, 547 00:24:53,900 --> 00:24:56,108 um, news 548 00:24:56,164 --> 00:24:58,812 outlets that have more negative 549 00:24:58,876 --> 00:25:01,004 coverage perform better 550 00:25:01,092 --> 00:25:03,836 financially than news outlets that have more 551 00:25:03,908 --> 00:25:05,120 positive coverage. 552 00:25:05,540 --> 00:25:06,236 >> Anthony Weaver: That's crazy. 553 00:25:06,268 --> 00:25:09,020 >> Andrew: And it was like an analysis of why. Right, because 554 00:25:09,060 --> 00:25:11,804 human nature is, we're inclined to focus 555 00:25:11,892 --> 00:25:14,548 on things that could harm us as 556 00:25:14,604 --> 00:25:17,028 animals are roaming around the planet, you know, 557 00:25:17,084 --> 00:25:19,988 once. And uh, now we're 558 00:25:20,004 --> 00:25:22,868 all driving our cars and then the cars are driving us. 559 00:25:23,004 --> 00:25:25,972 We're kind of eliminating that need to 560 00:25:25,996 --> 00:25:28,468 be worried about a lion jumping out and eating us. 561 00:25:28,524 --> 00:25:31,492 But that part of our brain is still very much there to 562 00:25:31,516 --> 00:25:34,404 focus on the negative information and then kind of hyper 563 00:25:34,452 --> 00:25:35,476 react to it. 564 00:25:35,628 --> 00:25:36,548 >> Anthony Weaver: That makes sense. 565 00:25:36,644 --> 00:25:39,572 >> Andrew: We try to take that away by saying, hey, don't worry, you 566 00:25:39,596 --> 00:25:42,212 know, this Is just the mean reversion. There's a 567 00:25:42,236 --> 00:25:45,108 correction normally 30 days away, so 568 00:25:45,164 --> 00:25:47,540 might be bad today, but if you look at the numbers. 569 00:25:47,700 --> 00:25:49,076 Sun's coming out. 570 00:25:49,228 --> 00:25:51,860 >> Anthony Weaver: Yeah, we gotta make it happen. 571 00:25:51,860 --> 00:25:54,788 Um, so, um, I'm 572 00:25:54,804 --> 00:25:57,604 gonna take a quick pause here. Is it okay we continue 573 00:25:57,692 --> 00:25:59,630 on or you got a cut off? 574 00:25:59,630 --> 00:26:01,908 >> Andrew: Um, okay, yeah, I blocked it until three. 575 00:26:02,044 --> 00:26:04,724 >> Anthony Weaver: Okay, perfect. I'm gonna try to wrap it up in 15. Is that 576 00:26:04,732 --> 00:26:05,092 okay? 577 00:26:05,156 --> 00:26:06,384 >> Andrew: Yeah, yeah, that's fine. Cool. 578 00:26:06,452 --> 00:26:09,256 >> Anthony Weaver: All right. All right. So we 579 00:26:09,328 --> 00:26:12,232 wanted to know, um, because now that 580 00:26:12,256 --> 00:26:15,144 you've had this tool out here for a while, why did 581 00:26:15,152 --> 00:26:18,024 you even create this tool in the first place? Was it something that, like a passion 582 00:26:18,072 --> 00:26:21,032 project? Did you do it with a team? Um, did 583 00:26:21,056 --> 00:26:23,720 your mom tell you, like, hey, I need to get better with my 584 00:26:23,760 --> 00:26:24,620 finances? 585 00:26:25,200 --> 00:26:28,088 >> Andrew: It's kind of all the above, actually, to 586 00:26:28,144 --> 00:26:31,096 start with. The fact that, like, as an entrepreneur, 587 00:26:31,288 --> 00:26:34,164 I am pathologically 588 00:26:34,212 --> 00:26:36,724 optimistic that we can build 589 00:26:36,812 --> 00:26:39,732 stuff to help other people. So, you 590 00:26:39,756 --> 00:26:42,340 know, we could build stuff to help big 591 00:26:42,380 --> 00:26:44,964 companies get bigger. But that's not. 592 00:26:45,132 --> 00:26:47,660 Doesn't really get me out of bed in the morning. Um, 593 00:26:48,140 --> 00:26:51,076 so we wanted to solve a problem that we knew was in the market 594 00:26:51,148 --> 00:26:54,132 that was going to help people and have a mission 595 00:26:54,276 --> 00:26:57,076 driven organization. The backstory, 596 00:26:57,188 --> 00:26:59,400 there's like a long and a short version. Um, 597 00:27:00,230 --> 00:27:02,622 I give the short version which was we had a 598 00:27:02,646 --> 00:27:05,230 company prior to this for 10 599 00:27:05,270 --> 00:27:08,062 years and it did a lot of like 600 00:27:08,086 --> 00:27:10,974 online data mine data mining and analysis 601 00:27:11,102 --> 00:27:14,030 also around events. Uh, it was sort 602 00:27:14,030 --> 00:27:16,430 of reputational damage assessments 603 00:27:16,510 --> 00:27:18,890 for publicly traded companies 604 00:27:19,430 --> 00:27:22,430 where something would happen and then our system would 605 00:27:22,470 --> 00:27:25,342 identify what that something was like. For 606 00:27:25,366 --> 00:27:27,994 instance, we had, um, a rail company as a 607 00:27:28,002 --> 00:27:31,002 client and they were always, not always 20 or 608 00:27:31,026 --> 00:27:33,070 30 times a year, the train would derail, 609 00:27:33,810 --> 00:27:36,522 crash. Sometimes it was okay, sometimes it was 610 00:27:36,626 --> 00:27:39,498 horrible chemical spills or oil spills. 611 00:27:39,674 --> 00:27:42,602 But the company was so large that they 612 00:27:42,626 --> 00:27:45,514 usually wouldn't even know about it until, like the CEO 613 00:27:45,562 --> 00:27:47,882 would turn on CNN and they would see the train, like, 614 00:27:47,906 --> 00:27:50,826 burning. So usually before 615 00:27:50,898 --> 00:27:53,722 that there was somebody in their backyard taking a picture, putting it on 616 00:27:53,746 --> 00:27:56,524 Twitter. We would be able to grip that picture, flag 617 00:27:56,572 --> 00:27:59,404 it, send it over. And so we were always doing like real time kind of 618 00:27:59,412 --> 00:28:02,140 event analysis. But we started to see all these patterns, 619 00:28:02,220 --> 00:28:05,164 right? So company would have an event, move the 620 00:28:05,172 --> 00:28:07,932 share price positively or negatively. 621 00:28:08,076 --> 00:28:10,600 We ended up selling that company in 2019, 622 00:28:11,140 --> 00:28:13,852 and the tech group and I, the kind of core product team, like 623 00:28:13,876 --> 00:28:16,748 regrouped and thought about, you know, what was 624 00:28:16,804 --> 00:28:19,580 difficult about that business, right? What went right, what 625 00:28:19,620 --> 00:28:21,990 went Wrong. Could we have done better? 626 00:28:22,370 --> 00:28:24,778 And we decided we were going to build AI 627 00:28:24,954 --> 00:28:27,626 to kind of autopopulate a lot of the data 628 00:28:27,698 --> 00:28:30,602 sets that the traditional Boolean search just 629 00:28:30,626 --> 00:28:33,482 couldn't do because all the false positives, as 630 00:28:33,506 --> 00:28:36,442 you see, um, we weren't really sure what the 631 00:28:36,466 --> 00:28:39,354 target market was going to be. But we always kind of 632 00:28:39,362 --> 00:28:42,250 had this idea of like, maybe we're on the wrong side 633 00:28:42,290 --> 00:28:45,242 of this because, you know, these companies that we were helping and we 634 00:28:45,266 --> 00:28:48,262 felt good because they had employees and employees were people and 635 00:28:48,286 --> 00:28:51,110 they get to keep their jobs. But I was like, 636 00:28:51,150 --> 00:28:54,102 well, the company just saved a billion dollars. We got 637 00:28:54,126 --> 00:28:57,014 our annual contract. Maybe we should be, you know, 638 00:28:57,022 --> 00:28:59,958 on the investing side of this. And then 639 00:29:00,094 --> 00:29:02,694 as we're trying to figure out, like, what 640 00:29:02,862 --> 00:29:05,370 problem specifically we were going to solve, 641 00:29:05,870 --> 00:29:08,870 Covid happened, which was 642 00:29:08,910 --> 00:29:09,814 a huge event. 643 00:29:09,982 --> 00:29:10,598 >> Anthony Weaver: Yeah. 644 00:29:10,694 --> 00:29:12,210 >> Andrew: And it changed the market 645 00:29:13,320 --> 00:29:15,900 and started getting phone calls from 646 00:29:17,080 --> 00:29:19,680 parents and cousins and brothers 647 00:29:19,760 --> 00:29:22,688 were concerned that this was the start of a global 648 00:29:22,744 --> 00:29:25,168 depression. They wouldn't have money 649 00:29:25,224 --> 00:29:28,032 for their kids college savings. They wouldn't have money 650 00:29:28,056 --> 00:29:30,700 for retirement. This was going to wipe everybody out. 651 00:29:31,720 --> 00:29:34,416 And I have an unusual background of sort of 652 00:29:34,488 --> 00:29:37,088 starting my career as an epidemiologist, working in public 653 00:29:37,144 --> 00:29:40,042 health consulting for the CDC and then 654 00:29:40,066 --> 00:29:42,458 moving into event driven data 655 00:29:42,514 --> 00:29:45,162 analysis, uh, with a lot of like, 656 00:29:45,186 --> 00:29:48,106 market insight. I had just sold 657 00:29:48,138 --> 00:29:51,034 my company, so I also didn't have a day job, 658 00:29:51,122 --> 00:29:53,994 so I could spend 80 hours researching like 659 00:29:54,082 --> 00:29:56,970 every pandemic in the history of America. 660 00:29:57,130 --> 00:29:59,930 How did it impact stocks and what 661 00:29:59,970 --> 00:30:02,842 sectors were most affected and what was the government response? And I 662 00:30:02,866 --> 00:30:05,270 made this massive analysis and figured out 663 00:30:05,640 --> 00:30:08,480 market's gonna be right back to where it was before in six months. 664 00:30:08,520 --> 00:30:10,300 We're gonna have a vaccine out in 12. 665 00:30:11,240 --> 00:30:14,000 Told people that I thought it was nuts. Um, but 666 00:30:14,040 --> 00:30:16,752 ultimately that's what happened. And it was just 667 00:30:16,856 --> 00:30:19,792 not me being that particularly bright about it. I was just 668 00:30:19,816 --> 00:30:22,720 looking back at what had happened in the past and saying, no, 669 00:30:22,760 --> 00:30:25,632 like, they're gonna roll out the vaccine. They're gonna use some version of 670 00:30:25,656 --> 00:30:28,592 one that they had and they're gonna close down 671 00:30:28,616 --> 00:30:31,324 the schools just like they did during Zika in Miami. 672 00:30:31,472 --> 00:30:34,292 And the cruise ships are going to get killed, the airlines are going to get 673 00:30:34,316 --> 00:30:37,172 killed, hotels are going to get killed. Tech's going to do 674 00:30:37,196 --> 00:30:40,180 well, you know, and started it start. All 675 00:30:40,220 --> 00:30:42,916 started to sink in, like, hey, 676 00:30:43,108 --> 00:30:45,652 what just really happened was there was an event that 677 00:30:45,676 --> 00:30:48,324 came. No one knew how to react to 678 00:30:48,332 --> 00:30:51,284 it. And yet there's this treasure trove of historical 679 00:30:51,332 --> 00:30:54,196 information that we could have accessed had 680 00:30:54,268 --> 00:30:57,150 there been a Solution to access that which 681 00:30:57,190 --> 00:31:00,140 didn't exist. So that was the Aha. 682 00:31:00,140 --> 00:31:03,086 Uh-huh. Okay. It's events, it's past 683 00:31:03,158 --> 00:31:05,966 movements and how they could be used to predict future 684 00:31:06,038 --> 00:31:09,022 movements of prices. And it's to 685 00:31:09,046 --> 00:31:11,982 protect an individual who doesn't have the expertise to 686 00:31:12,006 --> 00:31:14,958 go do that kind of research or simply just doesn't 687 00:31:14,974 --> 00:31:17,742 have time and would normally be 688 00:31:17,766 --> 00:31:20,414 forced to wait two weeks until Goldman 689 00:31:20,462 --> 00:31:23,166 Sachs has bought all their positions and then released 690 00:31:23,198 --> 00:31:26,102 their know what stocks to buy for Covid list so 691 00:31:26,126 --> 00:31:28,970 that you can bump up the share price of everything they already bought. 692 00:31:30,750 --> 00:31:33,690 You know, just a theory. I don't know if that actually happens. 693 00:31:34,350 --> 00:31:37,062 Just a theory to clear the 694 00:31:37,086 --> 00:31:39,990 air. Um, but yeah, I mean that's kind of 695 00:31:40,030 --> 00:31:42,726 a typical play. Right? Would be a smart move. 696 00:31:42,878 --> 00:31:45,702 So we wanted that to solve the problem. But then we 697 00:31:45,726 --> 00:31:48,582 realized like, well, you know, the black swan events are good, 698 00:31:48,606 --> 00:31:51,206 but like what really happens on a daily basis are these corporate 699 00:31:51,238 --> 00:31:53,970 announcements. That's where the steady flow of news is. 700 00:31:54,480 --> 00:31:56,964 Um, those are like, you know, death by a thousand paper 701 00:31:57,012 --> 00:31:59,956 cuts instead of just the big event that happens 702 00:31:59,988 --> 00:32:02,868 every four years. So we wanted to make that 703 00:32:02,924 --> 00:32:05,892 and we did. It was hard. Um, there 704 00:32:05,916 --> 00:32:08,440 was a lot of problems to solve. 705 00:32:08,940 --> 00:32:11,860 We had to deal with real time data from the markets. We had to deal with 706 00:32:11,900 --> 00:32:14,612 the financial, uh, statements and 707 00:32:14,636 --> 00:32:17,492 balance sheets and crunching the right numbers and metrics. 708 00:32:17,556 --> 00:32:20,548 We had to map that to all the tickers. We had to eliminate 709 00:32:20,724 --> 00:32:23,684 weird false positives like Bluebirds that fly in the 710 00:32:23,692 --> 00:32:26,420 sky versus Bluebird Bio, you know, 711 00:32:26,460 --> 00:32:29,120 or, or acronyms that are used, 712 00:32:29,200 --> 00:32:32,020 um, and short names, 713 00:32:32,100 --> 00:32:34,884 you know, Astra versus AstraZeneca versus Astra, 714 00:32:34,932 --> 00:32:37,732 the Rocket company. So you 715 00:32:37,756 --> 00:32:40,660 know, there was that, there's the price correlation. It was, it was a ton of work. 716 00:32:40,700 --> 00:32:43,492 We got it done by kind of launched like a 717 00:32:43,516 --> 00:32:46,260 minimum viable product. It was the end 718 00:32:46,300 --> 00:32:49,172 of 2022 and then ran a beta test for a 719 00:32:49,196 --> 00:32:51,402 year. So by the end of 720 00:32:51,426 --> 00:32:53,866 2023 we had a lot of feedback from people 721 00:32:53,938 --> 00:32:56,810 saying, this is really cool. I love the alerts. 722 00:32:56,890 --> 00:32:59,802 You know, I don't like being on platforms all day. I just kind of want to 723 00:32:59,826 --> 00:33:02,730 click a few buttons and then sit back and 724 00:33:02,770 --> 00:33:05,658 then I, you know, trade off of that. And so we, 725 00:33:05,714 --> 00:33:07,430 we saw at that point, 726 00:33:07,690 --> 00:33:10,282 um, there was a really 727 00:33:10,466 --> 00:33:12,790 big opportunity and there's a lot of demand. 728 00:33:13,410 --> 00:33:15,190 This was coming in the wake of 729 00:33:15,770 --> 00:33:18,722 2022, which I think took a lot 730 00:33:18,746 --> 00:33:20,962 of new traders that came on during COVID by 731 00:33:20,986 --> 00:33:23,794 surprise. If you would just signed up for a 732 00:33:23,802 --> 00:33:26,802 Robinhood account for the first time and Thought that the market only went 733 00:33:26,826 --> 00:33:29,746 up. They were making so much money 734 00:33:29,898 --> 00:33:32,727 as you know, the government's poured $4 735 00:33:32,860 --> 00:33:35,230 trillion, uh, of liquidity out there. 736 00:33:35,530 --> 00:33:38,386 It's pumping up the stock market and everybody was a stock genius 737 00:33:38,418 --> 00:33:41,330 in 2021. And then it starts to sell 738 00:33:41,370 --> 00:33:44,340 off in 2022 and people start looking for 739 00:33:44,380 --> 00:33:47,284 strategies in 2023 that like, hey, maybe 740 00:33:47,332 --> 00:33:50,020 I can't just buy the index if the index is down 741 00:33:50,060 --> 00:33:51,120 25%. 742 00:33:52,860 --> 00:33:55,588 Uh, and so that got us a lot of, I think, 743 00:33:55,644 --> 00:33:58,532 interest in alternative ways 744 00:33:58,596 --> 00:34:01,572 to think about investing. We're not the only type, 745 00:34:01,636 --> 00:34:04,564 you know, but right. There's fundamental, like if you 746 00:34:04,572 --> 00:34:07,400 want to be in a stock forever and you want to analyze 747 00:34:07,740 --> 00:34:10,721 their balance sheet and their, you know, debt to 748 00:34:10,745 --> 00:34:13,665 equity ratios and what they're paying for interest rates 749 00:34:13,697 --> 00:34:16,561 and go look at all that stuff. Great. If you can do 750 00:34:16,585 --> 00:34:19,473 that. Most people can't or don't have the time or don't have 751 00:34:19,481 --> 00:34:22,241 the expertise. So they've often moved to 752 00:34:22,265 --> 00:34:24,989 technical analysis, which, 753 00:34:25,449 --> 00:34:28,449 you know, is sometimes useful. 754 00:34:28,529 --> 00:34:31,457 Sometimes more like just staring at the sky and making shapes 755 00:34:31,473 --> 00:34:32,829 with the clouds up there. 756 00:34:33,260 --> 00:34:36,241 Um, you can look at a chart and say, oh, I can see 757 00:34:36,265 --> 00:34:39,200 a teacup for me, buy 758 00:34:39,240 --> 00:34:42,240 them out. Right. Uh, so we wanted to create 759 00:34:42,280 --> 00:34:44,896 a third way to do this which is event driven 760 00:34:44,928 --> 00:34:47,540 investing and to make it accessible. 761 00:34:48,389 --> 00:34:51,168 Um, and I think we, we've done it. We, obviously there's always 762 00:34:51,224 --> 00:34:54,080 more to do. We want to keep improving. We hope people sign 763 00:34:54,120 --> 00:34:56,960 up and kind of contribute that way because 764 00:34:57,000 --> 00:34:59,968 as they sign up or even, you know, let your friends 765 00:35:00,024 --> 00:35:02,832 know about level fields like that allows us to pursue this 766 00:35:02,856 --> 00:35:05,442 mission which, you know, 767 00:35:05,466 --> 00:35:08,310 admittedly there's, there's not a lot of institutions 768 00:35:08,810 --> 00:35:11,714 who are in kind of the investment world 769 00:35:11,882 --> 00:35:14,034 and necessarily want to see, 770 00:35:14,202 --> 00:35:16,978 democratize access to all 771 00:35:17,034 --> 00:35:19,670 stocks. Yeah, it eliminates the edge. 772 00:35:20,250 --> 00:35:23,202 >> Anthony Weaver: So I'm thinking of, um, because I had a 773 00:35:23,226 --> 00:35:25,970 couple people that come on the show before to talk about 774 00:35:26,010 --> 00:35:28,722 ESG investing. For those, as a 775 00:35:28,746 --> 00:35:31,670 reminder, it's environmental, uh, social and governance. 776 00:35:32,040 --> 00:35:35,008 Um, does it actually track that type of investing? So 777 00:35:35,064 --> 00:35:37,072 somebody, somebody that really want to be more 778 00:35:37,096 --> 00:35:40,096 environmentally in uh, their stocks or just, 779 00:35:40,168 --> 00:35:42,864 it doesn't matter, just like, hey, we only going to 780 00:35:42,872 --> 00:35:45,580 do with this particular one. 781 00:35:46,200 --> 00:35:48,820 >> Andrew: We haven't added the ESG events. 782 00:35:49,320 --> 00:35:52,304 Not necessarily because we don't want to, it's just because we 783 00:35:52,312 --> 00:35:54,336 haven't seen the correlations there. 784 00:35:54,488 --> 00:35:55,360 >> Anthony Weaver: Gotcha. 785 00:35:55,520 --> 00:35:58,400 >> Andrew: So you know, if, if Amazon comes out and they 786 00:35:58,440 --> 00:36:00,800 say we're going to get rid of all cardboard in the next 10 787 00:36:00,840 --> 00:36:03,800 years, it doesn't actually Move the share price. 788 00:36:04,420 --> 00:36:05,356 >> Anthony Weaver: Interesting. 789 00:36:05,468 --> 00:36:07,640 >> Andrew: So while it's great, 790 00:36:08,340 --> 00:36:11,244 um, it's not really the thesis of the application. So 791 00:36:11,252 --> 00:36:14,252 if they. If at some point, if there is 792 00:36:14,276 --> 00:36:17,100 a renewable technology company that comes out and says, 793 00:36:17,140 --> 00:36:19,660 you know, here's a new product, and that product is 794 00:36:19,700 --> 00:36:22,620 exciting because the unit economics 795 00:36:22,780 --> 00:36:25,132 are cheaper than oil, that makes the 796 00:36:25,156 --> 00:36:25,840 platform. 797 00:36:26,740 --> 00:36:28,130 >> Anthony Weaver: You know, that makes sense. 798 00:36:28,170 --> 00:36:30,930 >> Andrew: An array solar that comes out with a really cool way to do 799 00:36:30,970 --> 00:36:33,826 solar where it doesn't just sit in a field, but it actually 800 00:36:33,898 --> 00:36:36,802 tracks the sun throughout the 801 00:36:36,826 --> 00:36:39,698 day, you know, as the earth is rotating, so that it's always 802 00:36:39,754 --> 00:36:42,386 facing the sun instead of only facing the sun. 803 00:36:42,458 --> 00:36:45,394 Sometimes, as is the case, you know, the people that show up 804 00:36:45,402 --> 00:36:47,714 to your house trying to sell you residential solar. 805 00:36:47,842 --> 00:36:48,130 >> Anthony Weaver: Right. 806 00:36:48,170 --> 00:36:51,058 >> Andrew: They're going to nail it to your roof. Right. And like, you have to be 807 00:36:51,114 --> 00:36:54,074 facing south. Like my neighbors across the 808 00:36:54,082 --> 00:36:57,034 street who face north, like they're sol, they 809 00:36:57,042 --> 00:36:59,834 can't get solar because they face the wrong direction. 810 00:36:59,962 --> 00:37:02,922 But they're like, oh, you face south, so we can get 811 00:37:02,946 --> 00:37:05,770 some solar on your house. Um, so this, you know, 812 00:37:05,810 --> 00:37:08,390 cool technologies like that, that, 813 00:37:08,890 --> 00:37:11,530 um, there's a wave company that I saw recently come 814 00:37:11,570 --> 00:37:14,310 through, just got a. A government contract 815 00:37:14,850 --> 00:37:17,690 they have. And that makes the platform. 816 00:37:17,770 --> 00:37:20,190 They have a technology of like floating buoys. 817 00:37:20,790 --> 00:37:23,438 And as the buoy is rocking, somehow it makes 818 00:37:23,494 --> 00:37:24,090 energy. 819 00:37:24,550 --> 00:37:25,486 >> Anthony Weaver: Okay. 820 00:37:25,678 --> 00:37:28,526 >> Andrew: So they put it in like a rough ocean, you know, 821 00:37:28,598 --> 00:37:31,582 I don't know what it's going to be. And it generates power and 822 00:37:31,606 --> 00:37:34,062 then they transfer that power somewhere. 823 00:37:34,206 --> 00:37:37,150 >> Anthony Weaver: Yeah, I've seen various ones because there's another 824 00:37:37,190 --> 00:37:40,158 one that sets one up on. Along the coastline and not 825 00:37:40,214 --> 00:37:42,974 yet along the coastline. So as the water hits up against it, 826 00:37:43,062 --> 00:37:45,950 it generates power that way. Instead of putting those big 827 00:37:45,990 --> 00:37:48,984 boulders that they have just to kind of the 828 00:37:49,152 --> 00:37:50,472 wall that they put up. 829 00:37:50,576 --> 00:37:51,080 >> Andrew: Yep. 830 00:37:51,160 --> 00:37:54,152 >> Anthony Weaver: I was like, oh, uh, that sounds interesting. But does it 831 00:37:54,176 --> 00:37:56,984 scale? Like how. And how long does the. 832 00:37:57,072 --> 00:37:59,060 Did the technology last? 833 00:37:59,680 --> 00:38:02,296 >> Andrew: Right. And those things generally 834 00:38:02,488 --> 00:38:05,128 on their own, they're not going to do very well. So he 835 00:38:05,184 --> 00:38:08,152 requires the government to say, yeah, you 836 00:38:08,176 --> 00:38:11,176 know, we don't do anything from. With the water over there because it's too rough 837 00:38:11,208 --> 00:38:14,200 for seas. So let's put. Let's see if we can make some money 838 00:38:14,240 --> 00:38:16,884 off of this. You know, they have a lease 839 00:38:16,932 --> 00:38:19,652 agreement. Company makes a little money selling power, 840 00:38:19,836 --> 00:38:22,628 but, yeah, it's not something that you're gonna see, I think, 841 00:38:22,684 --> 00:38:25,360 scale tremendously. Um, 842 00:38:25,360 --> 00:38:28,356 geothermal. We see stocks that are doing geothermal, 843 00:38:28,388 --> 00:38:30,820 which. That is where I 844 00:38:30,860 --> 00:38:33,732 think the, the best source is, because 845 00:38:33,756 --> 00:38:36,676 we're all really Just sitting on a ball of lava, wondering how 846 00:38:36,748 --> 00:38:38,120 we get warm. 847 00:38:39,020 --> 00:38:41,948 Yes, we're looking to the sun like 848 00:38:42,004 --> 00:38:44,444 millions of miles away while sitting on a 849 00:38:44,452 --> 00:38:46,440 fireball pretty much. 850 00:38:48,340 --> 00:38:50,044 >> Anthony Weaver: So that's what you're looking at. 851 00:38:50,132 --> 00:38:53,132 >> Andrew: Rack all this dinosaur blood and oil, like, why 852 00:38:53,156 --> 00:38:56,012 can't we get down there and just put a rod, 853 00:38:56,156 --> 00:38:59,100 you know, into the lava and put some steam out there 854 00:38:59,140 --> 00:39:01,692 and then boom, there you go, solve the problem. Iceland is 855 00:39:01,716 --> 00:39:03,004 100 that. 856 00:39:03,172 --> 00:39:06,092 >> Anthony Weaver: Yeah, they are. Um, and I actually thought that was actually pretty cool that 857 00:39:06,116 --> 00:39:08,682 they have that. And I'm surprised nobody else had 858 00:39:08,796 --> 00:39:11,726 decide to think like, oh yeah, they doing something great. Let's 859 00:39:11,758 --> 00:39:12,686 copy that. 860 00:39:12,838 --> 00:39:15,742 >> Andrew: It's, you know, it's being done. They're trying to do 861 00:39:15,766 --> 00:39:18,290 it like around Yellowstone, I guess. 862 00:39:18,950 --> 00:39:21,930 We haven't quite figured out the drilling technology 863 00:39:22,550 --> 00:39:25,534 yet, which is surprising. But so they have to go 864 00:39:25,542 --> 00:39:27,806 to places where there's like already access to lava 865 00:39:27,838 --> 00:39:30,302 flows. So Hawaii could totally do 866 00:39:30,326 --> 00:39:33,278 it. You know, the sort of fire 867 00:39:33,334 --> 00:39:35,660 ring area can do it. 868 00:39:35,660 --> 00:39:38,338 Um, and there are stocks that are, 869 00:39:38,474 --> 00:39:41,282 they're starting to kind of get there. They need the 870 00:39:41,306 --> 00:39:44,290 government support early on, otherwise they, they run out of cash 871 00:39:44,370 --> 00:39:47,298 quickly because it's expensive. But you know, 872 00:39:47,434 --> 00:39:50,402 if you're going to pour money into like these wave technologies 873 00:39:50,466 --> 00:39:53,298 versus like accessing something that's 874 00:39:53,314 --> 00:39:56,258 already 3,000 degrees. Uh, I don't 875 00:39:56,274 --> 00:39:59,170 know. I think, I think, I think the incentive is 876 00:39:59,210 --> 00:40:02,066 better longer term to access the molten lava 877 00:40:02,098 --> 00:40:03,650 under our feet because. 878 00:40:03,650 --> 00:40:06,604 >> Anthony Weaver: Um, um, I know we coming up to 879 00:40:06,612 --> 00:40:09,612 the end of the show a little bit here, but we talked about 880 00:40:09,636 --> 00:40:12,492 the features a little bit as far as like, you know, the way how 881 00:40:12,516 --> 00:40:15,228 you seeing the size going. But what about 882 00:40:15,284 --> 00:40:18,092 yourself? Um, are there like any 883 00:40:18,276 --> 00:40:20,860 improvements in your life far as from 884 00:40:20,900 --> 00:40:23,900 habits that you want to improve. Ah. Or even 885 00:40:23,940 --> 00:40:26,120 in your career coming up? 886 00:40:27,140 --> 00:40:29,932 >> Andrew: Always, you know, on a daily basis I'm trying to do 887 00:40:29,956 --> 00:40:32,688 things better. Efficiency is like a big one for 888 00:40:32,724 --> 00:40:35,288 me because got, you know, with a startup 889 00:40:35,384 --> 00:40:38,008 there's always more to do than you have 890 00:40:38,064 --> 00:40:40,952 staff. M. So then it's like, all right, how do I 891 00:40:40,976 --> 00:40:43,736 prioritize? You know, what's the process 892 00:40:43,808 --> 00:40:46,780 for prior to doing the prioritization? 893 00:40:47,440 --> 00:40:50,312 So that's a constant. You know, how do other people do it? 894 00:40:50,336 --> 00:40:53,224 Like, how does a guy like Elon Musk have seven companies 895 00:40:53,312 --> 00:40:56,264 and still running this Doge thing? Like, you 896 00:40:56,272 --> 00:40:58,420 must have really good ways to manage, 897 00:40:59,030 --> 00:41:00,930 you know, time productively. 898 00:41:01,410 --> 00:41:04,302 Um, so I'm always looking for that and ways to 899 00:41:04,326 --> 00:41:07,230 improve. I can't say I've cracked the 900 00:41:07,270 --> 00:41:10,126 master nut there. I got a lot of posters of 901 00:41:10,198 --> 00:41:12,450 my work that I have to do on my wall. 902 00:41:14,710 --> 00:41:17,182 And I've tried now some 903 00:41:17,206 --> 00:41:19,966 strategies. Like, you know, I don't schedule 904 00:41:19,998 --> 00:41:22,990 meetings in the mornings because that's my productive time. 905 00:41:23,110 --> 00:41:24,210 I can write 906 00:41:25,680 --> 00:41:28,520 500 words in 30 minutes in the morning. 907 00:41:28,560 --> 00:41:31,180 If I try to do that at 3 o'clock in the afternoon, 908 00:41:31,600 --> 00:41:33,060 it's never getting done. 909 00:41:34,560 --> 00:41:35,700 >> Anthony Weaver: That makes sense. 910 00:41:36,340 --> 00:41:39,080 Um, do you have any kids? Uh, like, wife or anything like that? 911 00:41:39,120 --> 00:41:42,088 That's kind of like how you managing your, your family. 912 00:41:42,144 --> 00:41:42,824 Household. 913 00:41:42,952 --> 00:41:45,480 >> Andrew: Yeah, we have a busy family life and 914 00:41:45,600 --> 00:41:48,600 an energetic dog that needs walking a couple times 915 00:41:48,640 --> 00:41:51,476 a day and play. And, um, the balance 916 00:41:51,508 --> 00:41:54,420 of that is difficult. I've, I've started 917 00:41:54,460 --> 00:41:57,364 to get my kids involved and kind of like watching the 918 00:41:57,372 --> 00:41:58,244 stock market. 919 00:41:58,412 --> 00:41:58,884 >> Anthony Weaver: Good. 920 00:41:58,972 --> 00:42:01,860 >> Andrew: So I got them little portfolios. They could understand what I actually 921 00:42:01,900 --> 00:42:03,880 do for a living. Um, 922 00:42:04,540 --> 00:42:07,508 they're, you know, their mom works for a public company, so bought 923 00:42:07,524 --> 00:42:10,484 a little of those shares. They can kind of monitor. And then I 924 00:42:10,492 --> 00:42:13,412 can explain, like, yeah, here's, here's what mom does, like 925 00:42:13,516 --> 00:42:15,940 when she does a good job. Here's what the stock does. And 926 00:42:15,980 --> 00:42:16,560 know. 927 00:42:17,660 --> 00:42:20,452 >> Anthony Weaver: Awesome. Because I'm thinking a tool 928 00:42:20,636 --> 00:42:23,412 would be great for parents to get their 929 00:42:23,436 --> 00:42:26,244 kids to say, like, hey, you know what? Pick, uh, a 930 00:42:26,252 --> 00:42:29,108 stock. Let's see what's happening. What are the news behind 931 00:42:29,164 --> 00:42:32,164 it? What are the triggers that's going on? And so now, like, you 932 00:42:32,172 --> 00:42:34,740 can actually watch it from a global scale happening in real 933 00:42:34,780 --> 00:42:35,360 time. 934 00:42:35,820 --> 00:42:38,580 >> Andrew: It makes things make sense. Kids, 935 00:42:38,660 --> 00:42:41,572 they want, they want obviously to be on screens 936 00:42:41,636 --> 00:42:44,532 at all times. So I show them the platform. 937 00:42:44,596 --> 00:42:47,040 I'm like, here's what happened today. Here's the event. 938 00:42:47,320 --> 00:42:50,000 Um, you know, this CEO left. 939 00:42:50,300 --> 00:42:53,140 Like, do you think that's good news or bad news? And they would say, that 940 00:42:53,180 --> 00:42:56,164 sounds like bad news. I'm like, all right, so here's what the share price did, and it 941 00:42:56,172 --> 00:42:59,000 goes down. And they see this, like, bear, uh, 942 00:42:59,396 --> 00:43:00,772 indicator. It's like an angry. 943 00:43:00,836 --> 00:43:01,960 >> Anthony Weaver: Oh, that's cool. 944 00:43:02,380 --> 00:43:04,680 >> Andrew: And they're like, I love their angry bear. 945 00:43:04,820 --> 00:43:07,732 Um, and they get it. They're like, okay. So that makes it go 946 00:43:07,756 --> 00:43:10,692 down. This makes it go up. This makes total sense. And they're going through it. I'm like, 947 00:43:10,716 --> 00:43:13,664 now why? You know, for another event 948 00:43:13,752 --> 00:43:16,640 and say, why do you think this happened? And 949 00:43:16,760 --> 00:43:19,568 trying to explain, like, the interconnections in the economy. 950 00:43:19,704 --> 00:43:22,224 But we'll look at things that they see on a regular 951 00:43:22,272 --> 00:43:25,104 basis. So, like, I drive a GM car. So we looked at 952 00:43:25,112 --> 00:43:27,792 GM stock. We love Teslas. We look at 953 00:43:27,816 --> 00:43:30,320 Tesla stock and like, the Product launches and how they 954 00:43:30,360 --> 00:43:33,008 did and Tesla product 955 00:43:33,064 --> 00:43:35,952 launches is one of our events that we track. But it's like 956 00:43:35,976 --> 00:43:38,704 50, 50, 50 times or 50% of the 957 00:43:38,712 --> 00:43:41,310 time, stock goes up, 50% of the time goes down. 958 00:43:41,690 --> 00:43:44,530 And then they can see that. They're like, well, what happened when, 959 00:43:44,570 --> 00:43:47,282 you know, they launched the Cyber Truck? Let me see, 960 00:43:47,386 --> 00:43:50,002 let me see. When they lost. And I'm like, oh, why did it do so 961 00:43:50,026 --> 00:43:52,498 badly? I love the Cyber Truck. I'm like, 962 00:43:52,554 --> 00:43:55,042 well, you want to watch the video? I'll show you the 963 00:43:55,066 --> 00:43:57,922 video. This was 964 00:43:57,946 --> 00:44:00,590 supposed to be the bulletproof glass that the thing went through. 965 00:44:01,690 --> 00:44:04,482 So, you know, you mix it up and then like, it makes 966 00:44:04,506 --> 00:44:07,192 sense of the world for them. Um, so we 967 00:44:07,216 --> 00:44:09,608 find. They actually find. Now 968 00:44:09,664 --> 00:44:12,280 lately we're getting a lot of women that sign up 969 00:44:12,320 --> 00:44:14,780 for, for the app. Um, 970 00:44:15,440 --> 00:44:18,248 and you know, we've kind of done the research during the beta 971 00:44:18,264 --> 00:44:21,064 test, we knew why, which is like they like to know what happens 972 00:44:21,112 --> 00:44:24,072 next. You know, they like to be able to plan it out and kind 973 00:44:24,096 --> 00:44:26,660 of see the why and see what's about to happen. 974 00:44:27,260 --> 00:44:29,976 Um, whereas, you know, it's. It's 975 00:44:30,008 --> 00:44:32,862 slightly different, I would say, than like male traders who are like 976 00:44:33,016 --> 00:44:34,338 just short win. 977 00:44:34,394 --> 00:44:34,562 >> Anthony Weaver: Right. 978 00:44:34,586 --> 00:44:36,510 >> Andrew: You know, I don't care why it'll just 979 00:44:37,290 --> 00:44:38,630 as long as it works. 980 00:44:39,450 --> 00:44:41,410 >> Anthony Weaver: It's making me money today. Okay. 981 00:44:41,490 --> 00:44:42,338 >> Andrew: Yeah, exactly. 982 00:44:42,434 --> 00:44:45,314 >> Anthony Weaver: Because I noticed that even when I looked at my analytics, I have more women 983 00:44:45,402 --> 00:44:48,402 watching the show since I would say August of 984 00:44:48,426 --> 00:44:51,314 last year. It's almost like a, uh, I 985 00:44:51,322 --> 00:44:54,226 would say almost like a 74 for women 986 00:44:54,298 --> 00:44:57,122 watching this show since last. That's good by some 987 00:44:57,146 --> 00:44:59,930 of it. So. Oh, 988 00:45:00,750 --> 00:45:02,230 amongst the ladies, it's usually the. 989 00:45:02,270 --> 00:45:05,110 >> Andrew: Test like, you know, because the stocks that I see that do well, like 990 00:45:05,150 --> 00:45:07,958 especially on the retail side, more, more women 991 00:45:08,014 --> 00:45:10,326 behind it than guys like a 992 00:45:10,398 --> 00:45:13,366 Lululemon kind of stock or you know, other retail 993 00:45:13,398 --> 00:45:16,182 outlets that, that really know how to put the 994 00:45:16,206 --> 00:45:18,294 deals out there better and 995 00:45:18,462 --> 00:45:19,890 merchandise better. 996 00:45:20,270 --> 00:45:21,410 >> Anthony Weaver: I like that. 997 00:45:21,790 --> 00:45:24,710 Um, so before we get to the final four questions, is there 998 00:45:24,750 --> 00:45:26,690 anything that you want to leave the audience with? 999 00:45:27,730 --> 00:45:30,618 >> Andrew: I would tell you how to access Level Fields, 1000 00:45:30,714 --> 00:45:33,710 if that's useful. You go to level Fields, AI 1001 00:45:34,050 --> 00:45:37,002 Um, you can sign up for free newsletter 1002 00:45:37,146 --> 00:45:40,138 and get an idea what we do. We have 1003 00:45:40,274 --> 00:45:43,082 YouTube channel that also gives away some. Some free ideas. 1004 00:45:43,146 --> 00:45:46,090 You kind of get a flavor of it. Part of the 1005 00:45:46,130 --> 00:45:49,082 offering that we have is to do it yourself, which is like the 1006 00:45:49,106 --> 00:45:51,930 $300 a year version which we should 1007 00:45:51,970 --> 00:45:54,932 make back in one trade. And then we have the. We'll help 1008 00:45:54,956 --> 00:45:57,684 you we kind of send out uh, a couple trades a 1009 00:45:57,692 --> 00:46:00,660 week and then you know, it's turned out to be a pretty good 1010 00:46:00,700 --> 00:46:03,540 educational resource because it's showing the 1011 00:46:03,580 --> 00:46:06,532 why behind the, the idea. So 1012 00:46:06,556 --> 00:46:09,284 people really like that, that level two now, it's growing pretty 1013 00:46:09,332 --> 00:46:12,292 rapidly. Um, so if you don't feel like you have the 1014 00:46:12,316 --> 00:46:15,076 time to do it yourself, we can certainly help you with that. 1015 00:46:15,228 --> 00:46:18,052 And if none of this sounds interesting, you know, please refer to 1016 00:46:18,076 --> 00:46:20,574 you, write it down and tell your friends it's 1017 00:46:20,652 --> 00:46:23,562 guarantee some of you know it's going to want this if you're you 1018 00:46:23,586 --> 00:46:26,430 know, exercising or doing the laundry, 1019 00:46:26,770 --> 00:46:29,770 just uh, jot down level fields AI and please let 1020 00:46:29,810 --> 00:46:30,794 other people know. 1021 00:46:30,962 --> 00:46:33,386 >> Anthony Weaver: Nice. And um, remember, have the kid 1022 00:46:33,498 --> 00:46:35,034 mentality, you know. 1023 00:46:35,122 --> 00:46:35,626 >> Andrew: Yes. 1024 00:46:35,738 --> 00:46:36,570 >> Anthony Weaver: Like what's happening. 1025 00:46:36,650 --> 00:46:39,482 >> Andrew: Right, Exactly. Let's enjoy the 1026 00:46:39,506 --> 00:46:42,310 interconnectedness of the butterfly effect. 1027 00:46:43,410 --> 00:46:44,870 >> Anthony Weaver: Ready for the final four? 1028 00:46:45,650 --> 00:46:46,370 >> Andrew: Sure. 1029 00:46:46,530 --> 00:46:47,350 >> Anthony Weaver: Alrighty. 1030 00:46:54,730 --> 00:46:57,630 Number one, what does wealth mean to you? 1031 00:46:58,730 --> 00:47:01,522 >> Andrew: Time. Well this time to 1032 00:47:01,546 --> 00:47:04,354 me you can, you don't necessarily need money 1033 00:47:04,442 --> 00:47:07,378 to have it, um, but it gives 1034 00:47:07,394 --> 00:47:09,310 you the time to enjoy things. 1035 00:47:09,690 --> 00:47:12,388 >> Anthony Weaver: I like that. Number two, 1036 00:47:12,514 --> 00:47:14,660 what was your worst money mistake? 1037 00:47:15,480 --> 00:47:18,192 >> Andrew: I was about to liquidate my 1038 00:47:18,216 --> 00:47:21,120 entire portfolio in 2007 and buy 1039 00:47:21,240 --> 00:47:23,020 only Apple stock with it. 1040 00:47:24,920 --> 00:47:27,420 And I did not. 1041 00:47:27,720 --> 00:47:30,672 And I still to this day. And I loaded up 1042 00:47:30,696 --> 00:47:33,520 the ticket and I was going to just going to put everything 1043 00:47:33,560 --> 00:47:36,400 I had into Apple stock. And I had all this 1044 00:47:36,440 --> 00:47:39,216 like previous bad advice in my head 1045 00:47:39,288 --> 00:47:42,064 like, oh, technology always changes. You never know what's going to 1046 00:47:42,072 --> 00:47:45,050 happen. Don't put all your eggs in one basket. Diversify 1047 00:47:45,130 --> 00:47:48,042 all that. And I didn't do it. And not only did 1048 00:47:48,066 --> 00:47:50,922 I not do it, I didn't buy a single share. And I 1049 00:47:50,946 --> 00:47:53,930 don't know why, looking back, I think I was so ashamed of 1050 00:47:53,970 --> 00:47:56,650 like just getting scared of 1051 00:47:56,690 --> 00:47:59,626 doing that move. So that ended 1052 00:47:59,658 --> 00:48:02,298 up losing many 1053 00:48:02,434 --> 00:48:05,322 millions of dollars. Not losing, but 1054 00:48:05,346 --> 00:48:07,830 not gaining like access to it. So 1055 00:48:08,220 --> 00:48:11,172 I, I was teaching my, my son some math the other 1056 00:48:11,196 --> 00:48:12,920 day and I made him run the numbers. 1057 00:48:13,740 --> 00:48:16,724 Nice. How much that would have been today. And 1058 00:48:16,732 --> 00:48:19,652 he was like, dad should have totally done that. 1059 00:48:19,676 --> 00:48:21,920 We could have had like such a better house. 1060 00:48:24,140 --> 00:48:25,636 >> Anthony Weaver: It's always about the house, right? 1061 00:48:25,708 --> 00:48:26,052 >> Andrew: Yeah. 1062 00:48:26,116 --> 00:48:29,108 >> Anthony Weaver: This is better. Yeah. 1063 00:48:29,124 --> 00:48:31,720 >> Andrew: I could have had a quad and you couldn't have a cybertruck. 1064 00:48:34,220 --> 00:48:37,000 Like, well, you know, there's risk and reward. 1065 00:48:37,980 --> 00:48:40,932 >> Anthony Weaver: Yeah. The video. Take 1066 00:48:40,956 --> 00:48:42,356 it. Shooting your shot, right? 1067 00:48:42,508 --> 00:48:44,200 >> Andrew: Yeah, that one hurt. 1068 00:48:45,340 --> 00:48:48,132 >> Anthony Weaver: Number, uh, three. Is there a book that inspired 1069 00:48:48,196 --> 00:48:50,760 your journey or change your perspective? 1070 00:48:51,660 --> 00:48:54,612 >> Andrew: Yes. Although I don't think it's maybe what 1071 00:48:54,636 --> 00:48:57,120 you mean by it. So Jurassic Park. 1072 00:48:57,500 --> 00:48:58,520 >> Anthony Weaver: Interesting. 1073 00:48:58,730 --> 00:49:01,522 >> Andrew: Um, not so much because I wanted to dig up 1074 00:49:01,546 --> 00:49:04,350 dinosaurs, but the. The author, 1075 00:49:05,610 --> 00:49:08,466 he wrote Jurassic park after dropping 1076 00:49:08,498 --> 00:49:11,138 out of Harvard Medical School. Michael 1077 00:49:11,154 --> 00:49:14,050 Crichton. So he's in his third year of. Of 1078 00:49:14,090 --> 00:49:16,190 Harvard Medical School, which 1079 00:49:17,050 --> 00:49:19,600 fairly difficult to get into. Um, 1080 00:49:19,770 --> 00:49:22,722 pretty much set for life, you know, to be able 1081 00:49:22,746 --> 00:49:25,666 to graduate from there, go on, be a doctor, 1082 00:49:25,858 --> 00:49:28,434 have a, um, pretty stable 1083 00:49:28,482 --> 00:49:31,138 income. Right. What most people 1084 00:49:31,194 --> 00:49:32,130 aspire to. 1085 00:49:32,250 --> 00:49:32,914 >> Anthony Weaver: Yeah. 1086 00:49:33,042 --> 00:49:35,618 >> Andrew: And he gave that up on the risk that this 1087 00:49:35,674 --> 00:49:38,610 idea for Jurassic park would be a huge hit. 1088 00:49:38,650 --> 00:49:41,390 Of course it was. He was right. But 1089 00:49:41,770 --> 00:49:44,626 being able to look at that and walking 1090 00:49:44,658 --> 00:49:47,298 away from something that's a success, to go for something 1091 00:49:47,354 --> 00:49:50,322 that's an unknown, really inspired me. I was 1092 00:49:50,346 --> 00:49:53,150 like, okay, I can do this too. 1093 00:49:53,490 --> 00:49:56,378 >> Anthony Weaver: Nice. Did you walk away from like. 1094 00:49:56,434 --> 00:49:59,434 >> Andrew: Well, you know, it was a guy who's gonna go to law school and be 1095 00:49:59,442 --> 00:50:02,218 a lawyer, and, you know, at one point was doing 1096 00:50:02,274 --> 00:50:04,390 environmental management type of work. 1097 00:50:05,170 --> 00:50:06,714 That was a safe choice. 1098 00:50:06,842 --> 00:50:07,360 >> Anthony Weaver: Yeah. 1099 00:50:07,360 --> 00:50:10,186 >> Andrew: Um, but it's like, you know what? That's 1100 00:50:10,218 --> 00:50:12,794 just not for me. I want to do something bigger. I like to 1101 00:50:12,802 --> 00:50:15,514 build. It took. It took many years to realize 1102 00:50:15,562 --> 00:50:18,330 that, you know, who 1103 00:50:18,370 --> 00:50:21,284 I was is a core person. It's like, I'm a 1104 00:50:21,292 --> 00:50:24,052 builder. I like to make stuff. If, um, I'm not 1105 00:50:24,076 --> 00:50:26,596 making things, then I'm probably making my wife 1106 00:50:26,628 --> 00:50:27,400 miserable. 1107 00:50:30,460 --> 00:50:32,560 >> Anthony Weaver: Sounds like a fun time at home that day. 1108 00:50:34,700 --> 00:50:35,720 >> Andrew: Projects. 1109 00:50:37,130 --> 00:50:39,860 >> Anthony Weaver: Uh, number four, what is your 1110 00:50:39,900 --> 00:50:41,760 favorite dish to make? 1111 00:50:42,060 --> 00:50:43,690 >> Andrew: Dish? Um, 1112 00:50:45,590 --> 00:50:47,410 chocolate banana pancakes. 1113 00:50:49,510 --> 00:50:52,318 >> Anthony Weaver: Okay. See a picture of those. 1114 00:50:52,454 --> 00:50:55,310 >> Andrew: Well, they're good. Uh, I've gotten very good at them. 1115 00:50:55,350 --> 00:50:58,190 My kids love them, so every. I try to make them every 1116 00:50:58,230 --> 00:50:59,130 Saturday morning. 1117 00:50:59,430 --> 00:51:02,382 >> Anthony Weaver: There you go. Um, and the 1118 00:51:02,406 --> 00:51:05,182 very last question of the show, which is, where could people find out more 1119 00:51:05,206 --> 00:51:07,830 about you, more about me? 1120 00:51:07,830 --> 00:51:10,302 >> Andrew: Uh, um, if you want to 1121 00:51:10,326 --> 00:51:10,890 know, 1122 00:51:14,860 --> 00:51:17,620 you can certainly Google my name. 1123 00:51:17,740 --> 00:51:20,516 Andrew Einhorn. There's, um. There's another one who 1124 00:51:20,588 --> 00:51:23,572 takes dirty photos. That's not me. Um, but the 1125 00:51:23,596 --> 00:51:25,840 one that does podcasts, that's me. 1126 00:51:27,820 --> 00:51:30,404 >> Anthony Weaver: I did notice that when I came across look who you are. 1127 00:51:30,492 --> 00:51:33,236 >> Andrew: Yeah, I mean, they're good, 1128 00:51:33,308 --> 00:51:34,960 but no, that's not me. 1129 00:51:35,340 --> 00:51:35,796 >> Anthony Weaver: Okay. 1130 00:51:35,828 --> 00:51:38,280 >> Andrew: We have different hair. He's curly hair. I mean, straight. 1131 00:51:39,040 --> 00:51:41,960 >> Anthony Weaver: Got it. Well, thank you so much 1132 00:51:42,000 --> 00:51:44,760 for coming through. This, uh, was such a 1133 00:51:44,880 --> 00:51:47,864 fun time having you on and got a chance to learn a 1134 00:51:47,872 --> 00:51:50,472 lot about AI, a lot about what we can do with 1135 00:51:50,496 --> 00:51:53,112 it, and also how we can 1136 00:51:53,136 --> 00:51:55,720 actually utilize it in our futures. I really think 1137 00:51:55,760 --> 00:51:58,568 that, um, what you have is 1138 00:51:58,624 --> 00:52:01,256 almost like an episode of Black Mirror on the level 1139 00:52:01,328 --> 00:52:03,704 of insight that it can possibly 1140 00:52:03,752 --> 00:52:06,674 provide. I can't wait to see it on one of those episodes. 1141 00:52:06,802 --> 00:52:09,442 So thank you for, ah, sharing that with 1142 00:52:09,466 --> 00:52:09,890 us. 1143 00:52:10,010 --> 00:52:12,750 >> Andrew: We haven't taken the creepy turn yet to be back. 1144 00:52:13,050 --> 00:52:14,754 I'll let you know if we do. 1145 00:52:14,922 --> 00:52:16,578 >> Anthony Weaver: Okay, thank you. 1146 00:52:16,634 --> 00:52:18,590 >> Andrew: Appreciate it. Thanks for having me on. 1147 00:52:19,290 --> 00:52:21,970 >> Anthony Weaver: All right, everybody, we out. Be 1148 00:52:22,010 --> 00:52:22,418 safe. 1149 00:52:22,514 --> 00:52:22,690 >> Andrew: Peace.