1 00:00:00,320 --> 00:00:03,720 Speaker 1: The headlines say the economy is crashing again, But what 2 00:00:03,760 --> 00:00:06,680 Speaker 1: does the actual data say? Because when I dug into 3 00:00:06,680 --> 00:00:10,039 Speaker 1: the numbers myself, what I found was shocking. Now, it's 4 00:00:10,119 --> 00:00:12,800 Speaker 1: nothing like the headlines would have you believe. In fact, 5 00:00:13,200 --> 00:00:17,319 Speaker 1: there's one stat that would flip the entire narrative upside down. 6 00:00:17,360 --> 00:00:20,360 Speaker 1: And if you're just doom scrolling headlines, you're sitting there 7 00:00:20,400 --> 00:00:23,480 Speaker 1: in fear, then you're gonna miss the biggest wealth window 8 00:00:23,680 --> 00:00:26,840 Speaker 1: of this decade real quick. I'm Mark Mossov spent over 9 00:00:26,880 --> 00:00:30,280 Speaker 1: twenty years tracking boom and bus cycles, helping investors cut 10 00:00:30,280 --> 00:00:32,199 Speaker 1: through the noise to find the signal. And what I'm 11 00:00:32,200 --> 00:00:35,159 Speaker 1: about to show you might completely change how you see 12 00:00:35,200 --> 00:00:39,920 Speaker 1: the economy. So let's go all right, So we're gonna 13 00:00:39,960 --> 00:00:42,320 Speaker 1: jump right into it, and we're gonna show you. Well, 14 00:00:42,479 --> 00:00:45,720 Speaker 1: first the doomer headlines that gets all the headlines, and 15 00:00:45,760 --> 00:00:47,280 Speaker 1: the reason why is it gets all the clicks. And 16 00:00:47,280 --> 00:00:49,280 Speaker 1: to be honest with you, it's hard for me getting 17 00:00:49,320 --> 00:00:50,920 Speaker 1: you to come watch this video if I don't have 18 00:00:50,960 --> 00:00:53,120 Speaker 1: some sort of doomer. So we'll start the bad news 19 00:00:53,240 --> 00:00:55,480 Speaker 1: and then we'll get to the real data. Now, the 20 00:00:55,520 --> 00:01:01,960 Speaker 1: big bad doomer headline is GENIP gross domestic product went negative. Negative. 21 00:01:01,960 --> 00:01:05,920 Speaker 1: Now this is after eleven quarters of positive growth. It's 22 00:01:05,920 --> 00:01:09,120 Speaker 1: a big deal. Trump is crashing the economy. What is 23 00:01:09,160 --> 00:01:12,600 Speaker 1: he doing? How dare he wreck the entire world economy? 24 00:01:12,720 --> 00:01:14,399 Speaker 1: Don't you know that other nations are going to hate 25 00:01:14,400 --> 00:01:16,399 Speaker 1: the United States and love did you trade with us? Again? 26 00:01:16,440 --> 00:01:20,240 Speaker 1: And all of those things? Well? Well, yes, So here 27 00:01:20,360 --> 00:01:24,120 Speaker 1: is a government statistic. This is from the BEEA, the 28 00:01:24,200 --> 00:01:27,200 Speaker 1: Bureau of Economic Analysis, And what this is showing is 29 00:01:27,400 --> 00:01:29,880 Speaker 1: GDP gross domestic product for the first quarter of twenty 30 00:01:29,920 --> 00:01:32,800 Speaker 1: twenty five. And what they're showing is that we have 31 00:01:33,080 --> 00:01:36,720 Speaker 1: now a negative quarter after all these positive quarters. This 32 00:01:36,560 --> 00:01:38,320 Speaker 1: is this line here is about three percent, so a 33 00:01:38,319 --> 00:01:40,640 Speaker 1: little bit less than three percent, and now we have 34 00:01:40,720 --> 00:01:44,280 Speaker 1: a negative print. Boohoo. The media headlines love to pick 35 00:01:44,360 --> 00:01:46,640 Speaker 1: up on this, and it's true. Now, if we go 36 00:01:46,720 --> 00:01:49,400 Speaker 1: out a little bit further, you might remember this. By 37 00:01:49,440 --> 00:01:51,760 Speaker 1: the way, I'm using some charts here from my friends 38 00:01:51,760 --> 00:01:54,320 Speaker 1: over at the Bitcoin Layer. You should check them out. 39 00:01:54,360 --> 00:01:56,440 Speaker 1: We'll link to them in the description down below. Also, 40 00:01:57,000 --> 00:01:59,680 Speaker 1: my friend Pete saint Ange, we're using some stuff from 41 00:01:59,680 --> 00:02:01,600 Speaker 1: his news as well. But what we can see here 42 00:02:01,640 --> 00:02:04,120 Speaker 1: is that we have this negative GDP print. After all 43 00:02:04,200 --> 00:02:08,560 Speaker 1: these positive gdpre prints except for this one over here. 44 00:02:08,800 --> 00:02:11,720 Speaker 1: Now you might remember this one when Biden was president 45 00:02:12,000 --> 00:02:15,079 Speaker 1: and everyone starts talking about the US is in a recession, 46 00:02:15,080 --> 00:02:19,040 Speaker 1: and then Biden says the Biden administration says, well, that's 47 00:02:19,080 --> 00:02:22,840 Speaker 1: not a technical recession. You might remember that anyway. So 48 00:02:23,040 --> 00:02:27,799 Speaker 1: now we have a negative GDP print. However, that's the headline. 49 00:02:28,160 --> 00:02:29,760 Speaker 1: What we want to do is we want to peel 50 00:02:29,840 --> 00:02:32,600 Speaker 1: back the data, what's in the GDP so we can 51 00:02:32,680 --> 00:02:35,600 Speaker 1: understand what's really going on. Is this something that we 52 00:02:35,600 --> 00:02:38,080 Speaker 1: should be alarmed for or is this something that we 53 00:02:38,120 --> 00:02:41,880 Speaker 1: should think about differently? Okay, so the data. We want 54 00:02:41,880 --> 00:02:43,239 Speaker 1: to go into the data. That's why I show you 55 00:02:43,280 --> 00:02:44,680 Speaker 1: the charts. I show you the graphs so you can 56 00:02:44,680 --> 00:02:46,640 Speaker 1: see the size of the speed, all those things. And 57 00:02:46,720 --> 00:02:49,080 Speaker 1: we first of all want to understand GDP. So GDP 58 00:02:49,280 --> 00:02:54,480 Speaker 1: is gross domestic product g domestic product. The reason why 59 00:02:54,520 --> 00:02:56,600 Speaker 1: I say that is because first of all, GDP is 60 00:02:56,639 --> 00:02:58,839 Speaker 1: all messed up, Like if the government is taking money 61 00:02:58,840 --> 00:03:01,040 Speaker 1: from you and I from TIMEX dollars and spending that 62 00:03:01,200 --> 00:03:03,680 Speaker 1: should they be counted as gross domestic product? It's not 63 00:03:03,720 --> 00:03:07,760 Speaker 1: really producing any product. It's just redistribution, right. It certainly 64 00:03:07,760 --> 00:03:11,720 Speaker 1: shouldn't be counting Toyota trucks that were made overseas and 65 00:03:11,720 --> 00:03:13,440 Speaker 1: then brought into the United States, and so the whole 66 00:03:13,480 --> 00:03:15,799 Speaker 1: GDP basket is a little bit messed up. As a 67 00:03:15,880 --> 00:03:18,519 Speaker 1: matter of fact, Howard Lutnik, the new Secretary of Commerce, 68 00:03:18,520 --> 00:03:21,320 Speaker 1: says he wants to redo the entire GDB basket, which 69 00:03:21,360 --> 00:03:25,040 Speaker 1: I think I'm welcoming, okay, But understanding that because it's 70 00:03:25,280 --> 00:03:28,240 Speaker 1: domestic product, then we can start to understand the data. 71 00:03:28,240 --> 00:03:30,400 Speaker 1: What am I talking about? Well, what we can see 72 00:03:30,440 --> 00:03:33,000 Speaker 1: is that when we peel back the curtain and look 73 00:03:33,040 --> 00:03:36,360 Speaker 1: at the data, what we see is that imports surged 74 00:03:36,760 --> 00:03:41,280 Speaker 1: forty one percent, so again from the bea contributions to 75 00:03:41,440 --> 00:03:44,520 Speaker 1: the percent change in GDP for the first quarter. And 76 00:03:44,560 --> 00:03:47,400 Speaker 1: what we can see is that we have consumer spending 77 00:03:47,520 --> 00:03:51,160 Speaker 1: was positive. Investment spending was big time positive. We're going 78 00:03:51,240 --> 00:03:55,320 Speaker 1: to come back to that government spending was down. That 79 00:03:55,360 --> 00:03:58,360 Speaker 1: should be good, right, Government spending was down and exports 80 00:03:58,720 --> 00:04:00,600 Speaker 1: up a little bit. But here look at this one 81 00:04:00,640 --> 00:04:04,600 Speaker 1: right here, this is a big negative. Imports. The imports 82 00:04:04,640 --> 00:04:07,640 Speaker 1: were a big negative to GDP. Why because it's supposed 83 00:04:07,640 --> 00:04:11,360 Speaker 1: to be domestic product. So if we're importing from someone else, 84 00:04:11,440 --> 00:04:13,920 Speaker 1: that sort of takes away from the domestic product, which 85 00:04:14,000 --> 00:04:17,000 Speaker 1: is why it counts as a negative. But here's the problem. 86 00:04:17,240 --> 00:04:20,880 Speaker 1: We have this forty one percent surge in imports, so 87 00:04:20,920 --> 00:04:24,440 Speaker 1: it takes away from GDP, giving it this negative thing. 88 00:04:24,440 --> 00:04:27,920 Speaker 1: But why is this a massive surge of imports? Well 89 00:04:28,080 --> 00:04:32,760 Speaker 1: because of tariffs, because tariffs were announced, massive tariffs maybe 90 00:04:32,800 --> 00:04:34,599 Speaker 1: you know, one hundred and hundre percent on China, and 91 00:04:34,640 --> 00:04:37,000 Speaker 1: so everybody is front rating. Everyone's trying to import all 92 00:04:37,040 --> 00:04:39,280 Speaker 1: the goods they need right now because they don't know 93 00:04:39,320 --> 00:04:41,080 Speaker 1: what the prices will be later. And so we have 94 00:04:41,160 --> 00:04:43,880 Speaker 1: this what I'm calling a sugar rush. That's all happening now. 95 00:04:43,880 --> 00:04:46,560 Speaker 1: It's important understanding this is like a one time thing. 96 00:04:46,960 --> 00:04:49,080 Speaker 1: This isn't like a new trend. This is something that 97 00:04:49,080 --> 00:04:52,000 Speaker 1: will continue. It's a one time thing, and it's because 98 00:04:52,040 --> 00:04:54,760 Speaker 1: of this unusual circumstance of like I said, of these 99 00:04:54,800 --> 00:04:57,480 Speaker 1: tariffs and not knowing what's going to be next. So 100 00:04:57,600 --> 00:04:59,479 Speaker 1: what we want to do is what does that mean 101 00:04:59,520 --> 00:05:01,279 Speaker 1: If it's a one time thing that was because of 102 00:05:01,320 --> 00:05:04,360 Speaker 1: this tariff, it's not an ongoing thing, Well, what would 103 00:05:04,360 --> 00:05:07,080 Speaker 1: happen if that wasn't there, let's take a look at that. 104 00:05:07,160 --> 00:05:09,080 Speaker 1: What we can see is that all the pain was 105 00:05:09,080 --> 00:05:11,200 Speaker 1: caused by a forty one percent surge of imports from 106 00:05:11,200 --> 00:05:15,640 Speaker 1: Pete Saint one fronting tariffs, and this counts as negative GDP, 107 00:05:15,720 --> 00:05:19,400 Speaker 1: so it counts against it the actual GDP. If we 108 00:05:19,520 --> 00:05:23,160 Speaker 1: take that out, the actual GDP sored by a blistering 109 00:05:23,279 --> 00:05:25,719 Speaker 1: four and a half percent. Now I just showed you 110 00:05:25,760 --> 00:05:29,039 Speaker 1: the historical GDP for the last couple of years. Four 111 00:05:29,080 --> 00:05:32,360 Speaker 1: and a half percent is massive. It's way bigger than 112 00:05:32,360 --> 00:05:34,800 Speaker 1: we've seen in the last several years. Blistering as he 113 00:05:34,880 --> 00:05:37,600 Speaker 1: calls it. But it actually gets better than that. Hold on, 114 00:05:37,680 --> 00:05:42,000 Speaker 1: there's more. Because government spending dropped for the first time 115 00:05:42,080 --> 00:05:44,040 Speaker 1: since twenty twenty two. I showed you that in the chart. 116 00:05:44,279 --> 00:05:46,400 Speaker 1: Why is that a good thing? Well, because remember the 117 00:05:46,440 --> 00:05:49,839 Speaker 1: government spending is only spending money that it's taken from 118 00:05:49,880 --> 00:05:51,560 Speaker 1: you and I, So one, it shouldn't be double counted. 119 00:05:51,640 --> 00:05:55,239 Speaker 1: Number two, the government's running massive deficits. So there's about 120 00:05:55,360 --> 00:06:00,240 Speaker 1: two trillion roughly of spending per year that's debt into 121 00:06:00,279 --> 00:06:03,400 Speaker 1: the debt. So if the government can spend less, then 122 00:06:03,440 --> 00:06:05,400 Speaker 1: one we bring the debt down number one, but number two. 123 00:06:05,640 --> 00:06:09,960 Speaker 1: It gets even better than that because consumer spending outpaced 124 00:06:10,040 --> 00:06:14,839 Speaker 1: government spending by three point two percent. So private spending, 125 00:06:14,920 --> 00:06:18,720 Speaker 1: consumer spending, that's the real data, not the government spending, 126 00:06:19,000 --> 00:06:21,080 Speaker 1: not the fiscal spending. It's you and I. So that's 127 00:06:21,120 --> 00:06:24,599 Speaker 1: why government went down, consumer spending picked up. This is 128 00:06:24,680 --> 00:06:27,200 Speaker 1: also the best number since twenty twenty two. The Biden 129 00:06:27,240 --> 00:06:31,719 Speaker 1: administration was hiring massive amounts of government workers, bringing the 130 00:06:31,760 --> 00:06:34,080 Speaker 1: government spending numbers up to sort of goose the data, 131 00:06:34,120 --> 00:06:36,039 Speaker 1: goost the numbers, So a lot of the bad numbers 132 00:06:36,040 --> 00:06:38,320 Speaker 1: that we're seeing are getting back to like real data, 133 00:06:38,360 --> 00:06:40,080 Speaker 1: which is why we're seeing the best numbers since twenty 134 00:06:40,080 --> 00:06:43,520 Speaker 1: twenty two. Now, control for that dropping government spending, and 135 00:06:43,640 --> 00:06:47,760 Speaker 1: the economy grew by nearly five percent. So now you 136 00:06:47,880 --> 00:06:51,080 Speaker 1: take out the one time sugar rush, you adjust for 137 00:06:51,120 --> 00:06:54,240 Speaker 1: the difference in consumer and government spending, and now we 138 00:06:54,279 --> 00:06:58,240 Speaker 1: have an economy growing by nearly five percent. Sounds really good. 139 00:06:58,520 --> 00:07:00,320 Speaker 1: There's more in the data. We're going to get to it. 140 00:07:00,480 --> 00:07:02,560 Speaker 1: Remember there was one stat I was going to show you, 141 00:07:02,600 --> 00:07:05,240 Speaker 1: So now we're about five percent. Now, I want to 142 00:07:05,240 --> 00:07:08,520 Speaker 1: just say real quickly before we go too deep. I 143 00:07:08,680 --> 00:07:10,240 Speaker 1: like to look at the data. If you're new to 144 00:07:10,240 --> 00:07:12,040 Speaker 1: the channel, you may not have been watching me for 145 00:07:12,120 --> 00:07:14,680 Speaker 1: very long. Here's some videos that are pulled going back 146 00:07:14,720 --> 00:07:18,520 Speaker 1: to October of twenty two. Now you might remember in 147 00:07:18,560 --> 00:07:20,760 Speaker 1: October of twenty twenty two, the whole world was going 148 00:07:20,840 --> 00:07:22,920 Speaker 1: to end, the markets were going to crash and all 149 00:07:22,960 --> 00:07:24,520 Speaker 1: these things, and I made a video said, there is 150 00:07:24,560 --> 00:07:28,200 Speaker 1: no market crash coming. And here's why. The real data. 151 00:07:28,280 --> 00:07:30,559 Speaker 1: The FED doesn't want you to see the data showing 152 00:07:30,560 --> 00:07:32,520 Speaker 1: it's time to buy. The central banks are going to 153 00:07:32,560 --> 00:07:36,360 Speaker 1: be forced into this playbook easing the markets. Breaking data 154 00:07:36,520 --> 00:07:38,720 Speaker 1: shows the FED pivots here it's time to start buying. 155 00:07:39,120 --> 00:07:41,400 Speaker 1: The new data tells us it's time to buy. So 156 00:07:41,440 --> 00:07:44,280 Speaker 1: this is from October twenty twenty two, going all the 157 00:07:44,320 --> 00:07:46,480 Speaker 1: way forward, we have one of the why aren't the 158 00:07:46,520 --> 00:07:49,840 Speaker 1: markets crash coming? Breaking that down for my prediction for 159 00:07:49,920 --> 00:07:54,440 Speaker 1: financial markets on and on on, bear markets canceled, on 160 00:07:54,480 --> 00:07:56,400 Speaker 1: and on and on. Now that was out of time 161 00:07:56,440 --> 00:07:58,400 Speaker 1: again when the whole world thought the markets were going 162 00:07:58,440 --> 00:08:01,520 Speaker 1: to crash, and it was right here in the lows. 163 00:08:01,720 --> 00:08:04,080 Speaker 1: October of twenty two is when I started making those videos. 164 00:08:04,200 --> 00:08:06,720 Speaker 1: And of course the Nasdaq is up about one hundred 165 00:08:06,720 --> 00:08:11,320 Speaker 1: percent since that time. Also some more receipts here. These 166 00:08:11,320 --> 00:08:13,720 Speaker 1: are videos I made telling you was historic times to 167 00:08:13,760 --> 00:08:17,800 Speaker 1: buy bitcoin six seven, twenty two, nineteen thousand, seven nineteen 168 00:08:17,840 --> 00:08:21,320 Speaker 1: twenty two, nineteen thousand Bitcoin is fifteen thousand, twenty thousand, 169 00:08:21,400 --> 00:08:23,720 Speaker 1: twenty six thousand. Of course, now it's up over one 170 00:08:23,760 --> 00:08:26,200 Speaker 1: hundred thousand dollars or around one hundred thousand dollars right now. 171 00:08:26,360 --> 00:08:28,400 Speaker 1: So I just want to show you that I haven't 172 00:08:28,400 --> 00:08:31,000 Speaker 1: always been a doomer. I have the receipts to prove it, 173 00:08:31,000 --> 00:08:32,600 Speaker 1: and those videos are all still up on my channel. 174 00:08:32,679 --> 00:08:35,240 Speaker 1: You can go watch them. So why do I say 175 00:08:35,280 --> 00:08:39,160 Speaker 1: that real quickly? Because we can look past the headlines, 176 00:08:39,480 --> 00:08:41,760 Speaker 1: and look past the media, and look past the hysteria 177 00:08:41,840 --> 00:08:44,920 Speaker 1: and look at the data, we see something different. Okay, 178 00:08:46,120 --> 00:08:47,839 Speaker 1: Before I go on to tell you about this hidden 179 00:08:47,920 --> 00:08:50,199 Speaker 1: bowl market and what the data is really telling this 180 00:08:50,240 --> 00:08:51,880 Speaker 1: is going to happen, I want to let you know 181 00:08:51,920 --> 00:08:53,880 Speaker 1: that next week I'm gonna have a live event like 182 00:08:53,920 --> 00:08:56,160 Speaker 1: I do about every four to six weeks, where I 183 00:08:56,160 --> 00:08:58,120 Speaker 1: can go into depth. Here, we'll go about an hour. 184 00:08:58,160 --> 00:09:00,360 Speaker 1: I'm gonna have about thirty thirty five charts show you 185 00:09:00,400 --> 00:09:03,079 Speaker 1: exactly how to apply this to your own portfolio. It's 186 00:09:03,080 --> 00:09:04,760 Speaker 1: one thing to have the knowledge, but if you don't 187 00:09:04,760 --> 00:09:06,520 Speaker 1: apply the knowledge, if you don't know what assets to 188 00:09:06,559 --> 00:09:08,880 Speaker 1: buy to take advantage of this bull run, it doesn't 189 00:09:08,880 --> 00:09:10,439 Speaker 1: really do it a lot of good. So come hang out. 190 00:09:10,440 --> 00:09:12,320 Speaker 1: I'm going to break the entire case down, show you 191 00:09:12,320 --> 00:09:14,120 Speaker 1: all the charts to graphs what I'm buying, and then 192 00:09:14,160 --> 00:09:15,920 Speaker 1: we hang out live Q and A. It's super fun. 193 00:09:15,920 --> 00:09:17,920 Speaker 1: We'll answer all your questions. It's all free. There's a 194 00:09:17,960 --> 00:09:19,439 Speaker 1: link down below if you want to come join me, 195 00:09:19,920 --> 00:09:22,800 Speaker 1: Join me live. Hope to see you there. But what 196 00:09:23,000 --> 00:09:25,679 Speaker 1: is the data showing us? And why do I think 197 00:09:25,800 --> 00:09:29,679 Speaker 1: there's a hidden bull market ready to emerge? Well, a 198 00:09:29,760 --> 00:09:32,600 Speaker 1: couple of reasons again back into the data. Number one, 199 00:09:33,120 --> 00:09:35,720 Speaker 1: we want to look at the private the sales to 200 00:09:36,000 --> 00:09:40,160 Speaker 1: private domestic purchasers, the consumers, the private domessage purchase, the 201 00:09:40,360 --> 00:09:43,160 Speaker 1: PCE and what we can see here going back to 202 00:09:43,280 --> 00:09:46,960 Speaker 1: twenty twenty two, we can see that we are still 203 00:09:47,120 --> 00:09:49,760 Speaker 1: above sort of normal. Right. We don't have this big 204 00:09:49,800 --> 00:09:51,959 Speaker 1: sugar rush that was kind of the snapback reversion of 205 00:09:51,960 --> 00:09:55,120 Speaker 1: the mean here, but we're doing really well. The market's 206 00:09:55,160 --> 00:09:58,000 Speaker 1: looking actually really really strong, nothing like you would hear 207 00:09:58,000 --> 00:10:00,959 Speaker 1: on the news that the consumers stretch, then the economy 208 00:10:01,040 --> 00:10:03,960 Speaker 1: is crumbling all those things. So it's up three percent. 209 00:10:04,040 --> 00:10:07,000 Speaker 1: We can see the PCE we can see is up 210 00:10:07,840 --> 00:10:11,599 Speaker 1: one point seven nine percent. This is of personal consumption expenditures. 211 00:10:11,960 --> 00:10:15,360 Speaker 1: We can see here. The green is the consumer spending 212 00:10:15,440 --> 00:10:18,240 Speaker 1: services of two point almost two point four percent, the 213 00:10:18,360 --> 00:10:20,840 Speaker 1: red here consumer spending goods total a little bit low, 214 00:10:21,360 --> 00:10:24,800 Speaker 1: and then consumer spending non durable goods two point seven percent. Ay, 215 00:10:24,880 --> 00:10:28,120 Speaker 1: small business owner, are you buried in all types of 216 00:10:28,120 --> 00:10:30,720 Speaker 1: work keeping you from the real thing that makes you money? 217 00:10:30,760 --> 00:10:33,160 Speaker 1: Well that's where just Works comes in. They're the all 218 00:10:33,160 --> 00:10:36,200 Speaker 1: in one platform that supports small business growth. You can 219 00:10:36,240 --> 00:10:39,320 Speaker 1: get all their tools that help with benefits like payroll 220 00:10:39,480 --> 00:10:43,600 Speaker 1: and HR and compliance with transparent pricing. Now they help 221 00:10:43,679 --> 00:10:47,920 Speaker 1: you hire top talent internationally, internew markets, quickly scale international 222 00:10:47,960 --> 00:10:51,280 Speaker 1: operations without the workload, and for every how do I 223 00:10:51,360 --> 00:10:53,440 Speaker 1: do it? Question? You can reach out to their expert 224 00:10:53,480 --> 00:10:57,080 Speaker 1: staff from sole proprietor or a team of twenty. Just 225 00:10:57,160 --> 00:11:01,439 Speaker 1: Works empowers all kinds of small businesses with real human support. 226 00:11:01,559 --> 00:11:05,480 Speaker 1: So visit justworks dot com, slash podcast to join the 227 00:11:05,520 --> 00:11:08,520 Speaker 1: thousands of small businesses. That trust just works to take 228 00:11:08,559 --> 00:11:12,920 Speaker 1: care of payroll, benefits, compliance and more. Again, that's justworks 229 00:11:13,160 --> 00:11:19,280 Speaker 1: dot com, slash podcasts. So the spending is looking really good. Again, 230 00:11:19,440 --> 00:11:23,680 Speaker 1: past the headlines, past the media driven polls, and looking 231 00:11:23,720 --> 00:11:27,199 Speaker 1: at the data, what we can see is that there's 232 00:11:27,600 --> 00:11:30,600 Speaker 1: kind of a difference in shifting of purchases. But we 233 00:11:30,640 --> 00:11:32,600 Speaker 1: can see here there's a rise in personal savings. So 234 00:11:32,640 --> 00:11:35,760 Speaker 1: on top of that, personal savings has also gone up. 235 00:11:35,800 --> 00:11:39,400 Speaker 1: So the consumer is still spending, they're still buying. On 236 00:11:39,520 --> 00:11:42,240 Speaker 1: top of the spending. On top of the buying holding up, 237 00:11:42,600 --> 00:11:45,480 Speaker 1: we have savings going up. So that tells something very different. 238 00:11:45,679 --> 00:11:48,120 Speaker 1: That tells that the economy is not crumbling, that the 239 00:11:48,280 --> 00:11:51,319 Speaker 1: consumer is doing pretty good. Now, look, I understand there's 240 00:11:51,360 --> 00:11:53,200 Speaker 1: millions of people that are not doing good. There's also 241 00:11:53,240 --> 00:11:55,000 Speaker 1: millions of people that are doing really good, and so 242 00:11:55,600 --> 00:11:57,360 Speaker 1: this is not a model that everybody's a little bit different. 243 00:11:57,440 --> 00:12:00,280 Speaker 1: But the data is showing us that the economy is 244 00:12:00,280 --> 00:12:02,480 Speaker 1: not crumbling like they want to say it is. However, 245 00:12:02,720 --> 00:12:07,480 Speaker 1: this doesn't even break down what I really think is happening. Okay, 246 00:12:07,600 --> 00:12:12,520 Speaker 1: the businesses, the business spending, the business investments are going parabolic, 247 00:12:13,320 --> 00:12:16,600 Speaker 1: consumers holding up. Businesses are going parabolic. Let me break 248 00:12:16,600 --> 00:12:19,120 Speaker 1: what I break that down. All right, what we've seen 249 00:12:19,120 --> 00:12:22,000 Speaker 1: here I talked about this on a previous video, that 250 00:12:22,200 --> 00:12:28,480 Speaker 1: private investments, businesses investing into their future production, into factories 251 00:12:28,520 --> 00:12:31,480 Speaker 1: and equipment things that are up twenty two percent. Twenty 252 00:12:31,520 --> 00:12:34,600 Speaker 1: two percent. We are talking a massive number. This is 253 00:12:34,640 --> 00:12:37,199 Speaker 1: the biggest spike since twenty twenty one. Again from my 254 00:12:37,240 --> 00:12:41,360 Speaker 1: friends over the bitcoin layer. US business capital spending and 255 00:12:41,400 --> 00:12:44,080 Speaker 1: so what we can see here Q one. Look how 256 00:12:44,120 --> 00:12:48,160 Speaker 1: big those numbers are. Look how big those numbers are. 257 00:12:49,520 --> 00:12:50,920 Speaker 1: I mean, you don't even compare. This is just on 258 00:12:51,040 --> 00:12:53,480 Speaker 1: Q one. Now what does that mean for us? Well, 259 00:12:53,520 --> 00:12:57,120 Speaker 1: if businesses, the smart consumer, the one that's paying attention, 260 00:12:57,360 --> 00:12:59,640 Speaker 1: the one that has skinning the game, if they're making 261 00:12:59,760 --> 00:13:03,160 Speaker 1: this big of investments into the future, new equipment, new buildings, 262 00:13:03,240 --> 00:13:06,360 Speaker 1: new manufacturing, things like that, they are expecting big things 263 00:13:06,360 --> 00:13:08,400 Speaker 1: to happen. All right, there's more to that, we'll break 264 00:13:08,440 --> 00:13:11,760 Speaker 1: down that. But that's big. Equipment spending is up twenty 265 00:13:11,760 --> 00:13:14,680 Speaker 1: two and a half percent. Again, this is long term thinking. 266 00:13:14,920 --> 00:13:18,520 Speaker 1: This is the big businesses they see positive economic growth 267 00:13:18,559 --> 00:13:22,400 Speaker 1: in the future. The big one here information processing equipment, 268 00:13:22,520 --> 00:13:27,000 Speaker 1: information processing, think data centers, think computers is up seventy 269 00:13:27,080 --> 00:13:30,800 Speaker 1: percent annualized. This is an all time record, all time 270 00:13:30,840 --> 00:13:35,400 Speaker 1: record spending in information processing services. And I recently did 271 00:13:35,400 --> 00:13:39,680 Speaker 1: a video on Trump announced eight trillion dollars has already 272 00:13:39,720 --> 00:13:43,120 Speaker 1: been committed to be invested into the United States. Eight 273 00:13:43,160 --> 00:13:46,959 Speaker 1: trillion dollars or twenty two percent, massive and new deals. 274 00:13:46,960 --> 00:13:48,600 Speaker 1: We'll link to that video right here if you want, 275 00:13:48,679 --> 00:13:50,800 Speaker 1: or check it out on the description dob the eight 276 00:13:50,840 --> 00:13:53,439 Speaker 1: trillion dollar tsunami that's about to hit, we'll call it that. 277 00:13:53,720 --> 00:13:56,760 Speaker 1: And really, what we're seeing is this new industrial revolution. 278 00:13:57,640 --> 00:14:00,280 Speaker 1: This is just the beginning. We're eight trillion dollars just 279 00:14:00,280 --> 00:14:03,920 Speaker 1: being invested into the country right now. But what does 280 00:14:03,960 --> 00:14:06,560 Speaker 1: that mean? Where does it go? And so much more? Well, 281 00:14:06,640 --> 00:14:10,520 Speaker 1: Number one, we have an AI boom and it's onshore 282 00:14:10,520 --> 00:14:13,600 Speaker 1: and boom. So as I said, the information processing, the 283 00:14:13,600 --> 00:14:17,959 Speaker 1: computers AI is driving the capex, the capital expenditures. So 284 00:14:18,000 --> 00:14:21,240 Speaker 1: we have this massive surge seventy one percent on an 285 00:14:21,280 --> 00:14:25,400 Speaker 1: annualized basis an all time record on that. And why 286 00:14:25,400 --> 00:14:27,920 Speaker 1: do you think that is? Well, because AI is taking 287 00:14:27,960 --> 00:14:32,040 Speaker 1: off so fast, we have physical compute is needed right 288 00:14:32,120 --> 00:14:34,480 Speaker 1: so in order to build all these large language models, 289 00:14:34,480 --> 00:14:37,280 Speaker 1: all these llms. You need lots of compute, You need 290 00:14:37,320 --> 00:14:40,880 Speaker 1: lots of servers, you need warehouses, you need data centers, 291 00:14:40,920 --> 00:14:43,160 Speaker 1: you need lots of materials to build these things out. 292 00:14:44,040 --> 00:14:45,680 Speaker 1: We can see again. Let's take a look at a 293 00:14:45,760 --> 00:14:48,960 Speaker 1: chart courtesy of the Bitcoin Layer US real private fixed 294 00:14:49,040 --> 00:14:54,280 Speaker 1: investment for information processing equipment, and look at this number 295 00:14:54,400 --> 00:14:58,760 Speaker 1: right here compared to some mean right here since two 296 00:14:58,800 --> 00:15:02,840 Speaker 1: thousand and eight. Now, obviously AI is something new, but 297 00:15:02,880 --> 00:15:04,840 Speaker 1: since two thousand and eight, we had the iPhone and 298 00:15:04,880 --> 00:15:07,000 Speaker 1: we had cloud competing and all that take off as well. 299 00:15:07,800 --> 00:15:10,920 Speaker 1: This is taking off at a whole nother level like 300 00:15:10,960 --> 00:15:13,880 Speaker 1: we've never even seen before. And really we're seeing this 301 00:15:14,080 --> 00:15:16,720 Speaker 1: new wave of onshouring. Like I said, over eight trillion 302 00:15:16,800 --> 00:15:19,560 Speaker 1: dollars has been announced to be built here, and a 303 00:15:19,600 --> 00:15:21,760 Speaker 1: lot of that is in this information marketing. Now, if 304 00:15:21,800 --> 00:15:23,960 Speaker 1: you follow my work, it shouldn't be a big surprise 305 00:15:24,040 --> 00:15:26,480 Speaker 1: to you. Of course, I always talk about the quantum 306 00:15:26,600 --> 00:15:30,120 Speaker 1: leaf cycle that happens about every fifty years, and the 307 00:15:30,160 --> 00:15:33,360 Speaker 1: one that is just starting. So this happened six times one, two, three, 308 00:15:33,520 --> 00:15:35,880 Speaker 1: four or five. We're on the sixth one right now, 309 00:15:36,560 --> 00:15:39,120 Speaker 1: and this is the decentralized revolution. This is the convergence 310 00:15:39,160 --> 00:15:43,560 Speaker 1: of bitcoin and AI coming together and how they work 311 00:15:43,560 --> 00:15:45,120 Speaker 1: together to give us a whole nother set of building 312 00:15:45,120 --> 00:15:46,840 Speaker 1: blocks to build things that we don't even know about. 313 00:15:46,960 --> 00:15:49,160 Speaker 1: So if you follow my work and you understand the cycles, 314 00:15:49,480 --> 00:15:52,480 Speaker 1: this AI boom shouldn't be a big surprise. It's more 315 00:15:52,480 --> 00:15:55,000 Speaker 1: of a confirmation of that. Okay, And we have this 316 00:15:55,040 --> 00:15:57,680 Speaker 1: new wave of onshooring. And this is again even for 317 00:15:59,080 --> 00:16:01,600 Speaker 1: blue collar workers. Right We need to build the warehouse, 318 00:16:01,640 --> 00:16:04,280 Speaker 1: we need to build the data centers. It's the largest 319 00:16:04,440 --> 00:16:07,600 Speaker 1: relocation of capital since World War II. I just did 320 00:16:07,600 --> 00:16:10,200 Speaker 1: a video on this talking about how after World War 321 00:16:10,240 --> 00:16:13,320 Speaker 1: II the US sort of had this wartime economy and reindustrialized, 322 00:16:14,120 --> 00:16:16,920 Speaker 1: and now we're doing the same thing. Right now, I 323 00:16:17,000 --> 00:16:21,440 Speaker 1: expect another massive era of prosperity. The reason why is 324 00:16:21,440 --> 00:16:24,400 Speaker 1: because the US is becoming the global hub for this, 325 00:16:25,200 --> 00:16:28,479 Speaker 1: the global hub for AI, the global hub for processing, 326 00:16:28,840 --> 00:16:32,320 Speaker 1: the global hub for data processing. It's all happening right here. Okay. 327 00:16:32,360 --> 00:16:34,800 Speaker 1: So that's the data with a little bit of my 328 00:16:34,840 --> 00:16:36,880 Speaker 1: opinion on top of it. But the data is the data. 329 00:16:37,160 --> 00:16:40,520 Speaker 1: So what we're trying to do as investors is we're 330 00:16:40,520 --> 00:16:43,920 Speaker 1: trying to find the signal through all the noise, because 331 00:16:43,960 --> 00:16:46,640 Speaker 1: there's plenty of noise out there. For anyone saying one thing, 332 00:16:46,640 --> 00:16:48,280 Speaker 1: you can find someone saying the other. What do they 333 00:16:48,280 --> 00:16:50,400 Speaker 1: say about opinions fill in the blank. I'm not going 334 00:16:50,440 --> 00:16:53,920 Speaker 1: to answer that, right, But we've all this noise. And again, 335 00:16:54,320 --> 00:16:57,200 Speaker 1: what gets media headlines, what gets YouTube views, what gets 336 00:16:57,240 --> 00:16:59,800 Speaker 1: you to click on these videos is talking about sensational, 337 00:17:00,280 --> 00:17:03,080 Speaker 1: new more stuff. But we want to find the signal, 338 00:17:03,080 --> 00:17:07,240 Speaker 1: and we do that by understanding what's fact data and 339 00:17:07,280 --> 00:17:09,199 Speaker 1: then what's opinion? All right, so that's what we want 340 00:17:09,240 --> 00:17:12,200 Speaker 1: to understand. The noise is all the negative headlines that 341 00:17:12,240 --> 00:17:15,280 Speaker 1: gets you to click, But the signal tells us something different, 342 00:17:15,320 --> 00:17:17,480 Speaker 1: and we can choose to interpret the data differently. But 343 00:17:18,160 --> 00:17:20,280 Speaker 1: what we can see is by looking at some of 344 00:17:20,280 --> 00:17:23,880 Speaker 1: these charts, it can give us more information. So for example, 345 00:17:24,359 --> 00:17:26,840 Speaker 1: when this was announced, the negative GDP print and all 346 00:17:26,880 --> 00:17:29,600 Speaker 1: the news media ran into hysteria telling you how bad 347 00:17:29,600 --> 00:17:31,560 Speaker 1: things are and Trump's going to crash the entire world. 348 00:17:31,880 --> 00:17:35,479 Speaker 1: What we saw is that risk assets which would typically 349 00:17:35,520 --> 00:17:38,680 Speaker 1: sell off quickly like the bitcoin, like S and P 350 00:17:38,760 --> 00:17:41,080 Speaker 1: five hundred, for example, they didn't. They didn't sell off. 351 00:17:41,119 --> 00:17:43,760 Speaker 1: As a matter of fact, they're really very resilient and 352 00:17:43,800 --> 00:17:46,760 Speaker 1: they've only been going up since then. Huh. That's interesting. 353 00:17:47,520 --> 00:17:51,959 Speaker 1: So the media is trying to whip us up into hysteria. 354 00:17:52,320 --> 00:17:54,480 Speaker 1: The YouTubers and the Twitter people are trying to put 355 00:17:54,520 --> 00:17:57,280 Speaker 1: us in that hysteria. But the data, huh, the assets 356 00:17:57,280 --> 00:18:00,119 Speaker 1: were pretty resilient. We also know that if we you 357 00:18:00,119 --> 00:18:02,240 Speaker 1: look at global liquidity again, if you watch my channel 358 00:18:02,240 --> 00:18:04,040 Speaker 1: on a regular basis, you know that I always talk 359 00:18:04,080 --> 00:18:07,719 Speaker 1: about global equidity because it's global liquidity pushes asset prices higher, 360 00:18:07,840 --> 00:18:09,199 Speaker 1: so we always want to keep our eye on that. 361 00:18:09,880 --> 00:18:12,359 Speaker 1: One of my favorite people to follow for global equity 362 00:18:12,400 --> 00:18:14,320 Speaker 1: is Michael how This just came out a couple of 363 00:18:14,359 --> 00:18:18,320 Speaker 1: days ago. Global equity is rising. That's the headline. It's rising. 364 00:18:18,359 --> 00:18:20,760 Speaker 1: How much is it rising? It reached a new all 365 00:18:20,840 --> 00:18:23,200 Speaker 1: time high of one hundred and seventy seven trillion dollars, 366 00:18:23,200 --> 00:18:25,399 Speaker 1: a new all time high. On liquidy, it's still coming on, 367 00:18:25,480 --> 00:18:28,879 Speaker 1: but it gets better. Expect the current liquidity cycle. Oh, 368 00:18:28,920 --> 00:18:32,840 Speaker 1: he expected the current liquidity cycle to peak around Q 369 00:18:33,080 --> 00:18:35,880 Speaker 1: four this year, so he's been talking about this. Of course, 370 00:18:35,920 --> 00:18:38,560 Speaker 1: I talk about his research all the time. We typically 371 00:18:38,600 --> 00:18:41,119 Speaker 1: have about these four year liquidity cycles, not to the 372 00:18:41,160 --> 00:18:44,120 Speaker 1: day plus or minus. And because of that, he's been 373 00:18:44,160 --> 00:18:46,720 Speaker 1: expecting it to peak sometime around the end of this year. 374 00:18:46,920 --> 00:18:48,960 Speaker 1: Of course, if you're a bitcoin bowl, you understand there's 375 00:18:49,080 --> 00:18:51,320 Speaker 1: four year cycles as well. It's a lot of people 376 00:18:51,359 --> 00:18:53,040 Speaker 1: think that maybe bitcoin would peak around the end of 377 00:18:53,080 --> 00:18:56,640 Speaker 1: this year as well. However, he says, however, the rapidly 378 00:18:56,680 --> 00:19:02,240 Speaker 1: deteriorating global economy, which will likely spur central banks to 379 00:19:02,440 --> 00:19:06,720 Speaker 1: ease we've already seen it, has caused us to reconsider 380 00:19:07,240 --> 00:19:10,320 Speaker 1: maybe it's not gonna end twenty twenty six. All in all, 381 00:19:10,560 --> 00:19:13,600 Speaker 1: we now expect the cycle to peak in mid twenty 382 00:19:13,680 --> 00:19:16,720 Speaker 1: twenty six because right now the central banks are just 383 00:19:16,760 --> 00:19:18,760 Speaker 1: starting to fire up their money printers, if you will. 384 00:19:19,280 --> 00:19:22,680 Speaker 1: The Federal Reserve is just has just been easing lately. 385 00:19:22,760 --> 00:19:24,520 Speaker 1: Right this is all getting going, and so he thought 386 00:19:24,520 --> 00:19:25,639 Speaker 1: it might peak in them the year, and now I 387 00:19:25,680 --> 00:19:29,520 Speaker 1: says mid twenty twenty six. And because of that, risk 388 00:19:29,560 --> 00:19:34,920 Speaker 1: asset markets and liquidity sensitive cryptocurrencies. So basically risk assets 389 00:19:34,960 --> 00:19:42,080 Speaker 1: bitcoin are benefiting. Hmm. Okay, so that's the data, that's 390 00:19:42,119 --> 00:19:45,920 Speaker 1: the data. Global equidity is rising. We also can look 391 00:19:45,920 --> 00:19:49,040 Speaker 1: at the data and go well, the bonds, the bond market, 392 00:19:49,280 --> 00:19:51,560 Speaker 1: they didn't crash, they hold study. As a matter of fact, 393 00:19:51,760 --> 00:19:54,720 Speaker 1: they eased a little bit. So all of the data 394 00:19:54,760 --> 00:19:58,239 Speaker 1: points are telling us that the signal tells us that 395 00:19:58,320 --> 00:20:01,120 Speaker 1: things are really good, and not just really good. They're 396 00:20:01,200 --> 00:20:04,600 Speaker 1: loading up for a sling shot. That's what it's telling us. 397 00:20:04,920 --> 00:20:09,520 Speaker 1: We see rising wages and stable inflation. So if wages 398 00:20:09,560 --> 00:20:12,800 Speaker 1: are going up and inflation is stable, so wages are 399 00:20:12,800 --> 00:20:15,240 Speaker 1: going up faster than the cost of goods, that means 400 00:20:15,280 --> 00:20:18,760 Speaker 1: the consumer has more money to spend, which means a 401 00:20:18,760 --> 00:20:21,960 Speaker 1: better economy. Now, we can also see because of this, 402 00:20:22,080 --> 00:20:26,320 Speaker 1: because of liquidity easy and rising, we can also see 403 00:20:26,440 --> 00:20:29,680 Speaker 1: a change in consumer credit lags by about a year, 404 00:20:29,760 --> 00:20:32,479 Speaker 1: and so because liquidity has been going up, we can 405 00:20:32,560 --> 00:20:35,600 Speaker 1: expect consumer credit to be going up next. And again, 406 00:20:35,840 --> 00:20:37,920 Speaker 1: if the consumer gets credit, what do they do They 407 00:20:37,960 --> 00:20:41,680 Speaker 1: spend it on things more cars, more vacations, more going 408 00:20:41,720 --> 00:20:45,040 Speaker 1: out to eat whatever, more clothes, et cetera. They should 409 00:20:45,040 --> 00:20:48,000 Speaker 1: be buying assets. You and I we're buying assets the 410 00:20:48,000 --> 00:20:50,879 Speaker 1: consumer though. Okay, so what we want to understand is 411 00:20:50,920 --> 00:20:55,280 Speaker 1: that there's a fake chap. The media is incentivized to 412 00:20:55,359 --> 00:20:59,200 Speaker 1: get you in fear to get clicks. They're also, unfortunately 413 00:20:59,280 --> 00:21:02,960 Speaker 1: in the United States, heavily politicized, and they use the 414 00:21:03,040 --> 00:21:05,919 Speaker 1: media politicized as a weapon. So one day one clicks two, 415 00:21:05,960 --> 00:21:07,840 Speaker 1: they use it as a weapon. So we don't want 416 00:21:07,840 --> 00:21:09,919 Speaker 1: to get trapped in that fake trap. We want to 417 00:21:10,000 --> 00:21:13,080 Speaker 1: understand that they weaponized fear and learn how to separate 418 00:21:13,720 --> 00:21:19,479 Speaker 1: fact and fiction, fact and opinion. The GDP is a 419 00:21:19,480 --> 00:21:23,359 Speaker 1: headline number, it's a lagging indicator, and it's also a 420 00:21:23,400 --> 00:21:26,040 Speaker 1: distorted metric. I've explained that to you and why that is. 421 00:21:26,400 --> 00:21:30,480 Speaker 1: Fear equals clicks. Clicks equals you stay broke again. I 422 00:21:30,520 --> 00:21:32,919 Speaker 1: started making videos in October twenty twenty two, told people's 423 00:21:32,920 --> 00:21:34,600 Speaker 1: time to buy. I was putting money back in and 424 00:21:34,680 --> 00:21:36,879 Speaker 1: so many people sat on the sidelines. One of my 425 00:21:37,000 --> 00:21:40,680 Speaker 1: good friends, he's a big macroeconomic YouTuber. You might know 426 00:21:40,680 --> 00:21:42,399 Speaker 1: who I'm talking about. We do a lot of videos together. 427 00:21:42,560 --> 00:21:44,760 Speaker 1: We had dinner in August of twenty twenty three after 428 00:21:44,800 --> 00:21:47,560 Speaker 1: I made that video called the bear Market is Canceled, 429 00:21:47,760 --> 00:21:49,840 Speaker 1: and he told me, Mark, how irresponsible of you to 430 00:21:49,840 --> 00:21:51,359 Speaker 1: make that video right now? Don't you know the yield 431 00:21:51,359 --> 00:21:54,920 Speaker 1: curve is inverted and blah blah, blah, Yeah, but bigcoin 432 00:21:54,960 --> 00:21:57,800 Speaker 1: was like thirty five thousand. Now it's tripled since then. 433 00:21:58,160 --> 00:22:01,640 Speaker 1: So how much money you lose on the sideline crippled 434 00:22:01,640 --> 00:22:05,159 Speaker 1: in fear because the media is weaponizing these headlines against 435 00:22:05,160 --> 00:22:07,359 Speaker 1: you instead of just looking at the data. Now, what 436 00:22:07,600 --> 00:22:10,880 Speaker 1: I see, because I study history, I see this mirrors 437 00:22:10,960 --> 00:22:15,240 Speaker 1: past moments like two thousand and nine or like twenty twenty. 438 00:22:15,680 --> 00:22:19,480 Speaker 1: Those were historic times to be buying and pushing into 439 00:22:19,520 --> 00:22:22,280 Speaker 1: the markets, not sitting on the sidelines crippled with fear. 440 00:22:22,880 --> 00:22:26,879 Speaker 1: The cost to following the fear narrative is what we 441 00:22:26,920 --> 00:22:31,879 Speaker 1: call lost opportunity cost. It's missing this window. That's the cost, 442 00:22:33,320 --> 00:22:36,600 Speaker 1: and ultimately you'll miss generational buying opportunities. This only comes 443 00:22:36,640 --> 00:22:39,760 Speaker 1: around every fifty years. The fifty year quantum wave cycle 444 00:22:39,800 --> 00:22:42,320 Speaker 1: tells us this. So you can sit on the sideline 445 00:22:42,400 --> 00:22:44,240 Speaker 1: cripple the fear because of the news headlines, or you 446 00:22:44,240 --> 00:22:46,800 Speaker 1: can learn how to read the data and understand this 447 00:22:46,840 --> 00:22:48,879 Speaker 1: only comes around in fifty years, Or you can let 448 00:22:48,920 --> 00:22:50,359 Speaker 1: me interpret the data for you. Come hang out with 449 00:22:50,440 --> 00:22:52,840 Speaker 1: me next week. I'll break down about one hundred charts, 450 00:22:53,760 --> 00:22:56,600 Speaker 1: we'll go live. I'll tell you exactly how to apply 451 00:22:56,680 --> 00:22:58,439 Speaker 1: this to your own portfolio where I think the very 452 00:22:58,480 --> 00:23:00,320 Speaker 1: best investments are, and then we'll hang out out. We'll 453 00:23:00,359 --> 00:23:01,480 Speaker 1: do all the live Q and A so you can 454 00:23:01,480 --> 00:23:03,359 Speaker 1: figure out exactly how to answer your questions and apply 455 00:23:03,440 --> 00:23:05,439 Speaker 1: Drum portfolio. There's a link down below if you want 456 00:23:05,440 --> 00:23:07,480 Speaker 1: to come hang out and hang out for free. Hope 457 00:23:07,480 --> 00:23:09,639 Speaker 1: to see you there. But otherwise, if you want to 458 00:23:09,720 --> 00:23:11,560 Speaker 1: understand this a little bit better, you probably want to 459 00:23:11,600 --> 00:23:15,479 Speaker 1: watch this video right here about where eight trillion dollars 460 00:23:15,520 --> 00:23:17,800 Speaker 1: is actually gonna go. And I hope to see you 461 00:23:17,840 --> 00:23:18,879 Speaker 1: over on that other video