1 00:00:00,800 --> 00:00:04,040 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, alongside 2 00:00:04,040 --> 00:00:06,920 Speaker 1: my co host Matt Miller. Every business day we bring 3 00:00:06,960 --> 00:00:11,520 Speaker 1: you interviews from CEOs, market pros, and Bloomberg experts, along 4 00:00:11,520 --> 00:00:15,600 Speaker 1: with essential market moving news. Find the Bloomberg Markets Podcast 5 00:00:15,600 --> 00:00:18,439 Speaker 1: on Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:23,000 Speaker 1: at Bloomberg dot com slash podcast. Let's get over to 7 00:00:23,079 --> 00:00:26,280 Speaker 1: Dan Ives right now web Bush Securities. He's a managing 8 00:00:26,280 --> 00:00:30,880 Speaker 1: director there and a senior equity analyst and a bowl. Um, 9 00:00:31,200 --> 00:00:34,400 Speaker 1: I guess Dan, for you, this must be the perfect 10 00:00:34,440 --> 00:00:36,600 Speaker 1: time to go in and buy right. We had a 11 00:00:36,640 --> 00:00:41,720 Speaker 1: big drop on Friday, big drop today? Um are, Is 12 00:00:41,760 --> 00:00:43,880 Speaker 1: there is there ever point at which you're gonna say, 13 00:00:43,920 --> 00:00:47,960 Speaker 1: you know what? This is over for now and let's 14 00:00:47,960 --> 00:00:52,600 Speaker 1: make Tesla, Apple, Microsoft all neutrals until m until the 15 00:00:52,600 --> 00:00:58,800 Speaker 1: crash is over. Yeah. Look, the fundamentals dictated change and 16 00:00:58,920 --> 00:01:04,560 Speaker 1: shift in terms of cloud, cybersecurity, electric vehicles, spending, like 17 00:01:04,680 --> 00:01:07,039 Speaker 1: we've done in many names. Then you turn cautious. But 18 00:01:07,280 --> 00:01:10,440 Speaker 1: it's like me and you have talked about for for years. 19 00:01:11,040 --> 00:01:14,360 Speaker 1: We're in the first second inning of what I view 20 00:01:14,400 --> 00:01:17,559 Speaker 1: is the fourth in Dushia revolution. So I don't throw 21 00:01:17,640 --> 00:01:21,319 Speaker 1: in the towel because of a macro and rates going higher. 22 00:01:21,680 --> 00:01:24,480 Speaker 1: I view it is just a painful digestion period, but 23 00:01:24,560 --> 00:01:27,800 Speaker 1: not the end of what I view is tex stocks 24 00:01:27,800 --> 00:01:30,800 Speaker 1: in the long term movement higher. Dan, Here's what I 25 00:01:30,800 --> 00:01:34,760 Speaker 1: don't understand. You're seeing to have the sensitivity to rates, 26 00:01:34,800 --> 00:01:38,319 Speaker 1: have the sensitivity to simply risk off moves. The heavyweights 27 00:01:38,720 --> 00:01:40,800 Speaker 1: lead the SMP five hundred to records, they also lead 28 00:01:40,840 --> 00:01:42,839 Speaker 1: the sell off and you can see that um really 29 00:01:42,880 --> 00:01:44,720 Speaker 1: in any of these red days that we see. But 30 00:01:44,760 --> 00:01:49,360 Speaker 1: I'm curious if the likes of Apple, Microsoft, Tesla essentially 31 00:01:49,400 --> 00:01:53,240 Speaker 1: boast this ability to have very strong supply chains that 32 00:01:53,360 --> 00:01:57,240 Speaker 1: whether a lot of these issues that other companies are having, 33 00:01:58,000 --> 00:02:01,640 Speaker 1: then where's the problem? Why are these stocks selling off 34 00:02:01,720 --> 00:02:06,080 Speaker 1: so much? Look, I think you're seeing everyone head for 35 00:02:06,120 --> 00:02:10,079 Speaker 1: the elevator at the same time, risk off scary headlines, 36 00:02:10,800 --> 00:02:14,639 Speaker 1: reads moving higher in Fleah, So you're seeing the risk 37 00:02:14,720 --> 00:02:16,679 Speaker 1: off track all at the same time. And that's why 38 00:02:16,720 --> 00:02:19,840 Speaker 1: I like text doctors over sohow relative to growth that 39 00:02:19,919 --> 00:02:23,680 Speaker 1: I've seen the last six years. And you can't paint 40 00:02:23,760 --> 00:02:28,760 Speaker 1: a Netflix, a Zoom, a Facebook Slash Meta with the 41 00:02:28,800 --> 00:02:33,960 Speaker 1: same brush as an Apple Microsoft, cybersecurity and cloud and 42 00:02:34,000 --> 00:02:36,079 Speaker 1: it just speaks like that's why this is the most 43 00:02:36,120 --> 00:02:39,239 Speaker 1: important earning season probably the last seventy years in terms 44 00:02:39,240 --> 00:02:43,920 Speaker 1: of proving that the quote unquote massive slowdown off of 45 00:02:43,919 --> 00:02:47,040 Speaker 1: a cliff is not happening across the board. That's sort 46 00:02:47,080 --> 00:02:50,239 Speaker 1: of our thesis here in terms as we go through 47 00:02:50,280 --> 00:02:52,880 Speaker 1: what's really a key week for tech. By the way, 48 00:02:52,960 --> 00:02:56,840 Speaker 1: you don't cover Twitter that I know of, at least 49 00:02:56,840 --> 00:02:59,840 Speaker 1: I can't see a rating on Twitter. Um, what are 50 00:02:59,840 --> 00:03:02,640 Speaker 1: you think about the possibility of Elon must coming in 51 00:03:02,680 --> 00:03:06,359 Speaker 1: and purchasing this company. Look, we've taught it's a game 52 00:03:06,360 --> 00:03:10,079 Speaker 1: of highest takes boker, And bottom line is the board 53 00:03:10,400 --> 00:03:13,600 Speaker 1: was looking at the altar, waiting for a white night, 54 00:03:13,720 --> 00:03:18,720 Speaker 1: a second bidder. They never came. Then Must details his financing. 55 00:03:19,000 --> 00:03:23,160 Speaker 1: It's not antics. At that point clock Stock twelve board 56 00:03:23,160 --> 00:03:25,800 Speaker 1: had to go to negotiation table, and that's why it 57 00:03:25,800 --> 00:03:27,639 Speaker 1: looks like a deal is going to happen, and it 58 00:03:27,800 --> 00:03:31,200 Speaker 1: just looked as a public company for dociary. I mean, 59 00:03:31,320 --> 00:03:36,280 Speaker 1: they ultimately thought that a second bidder would come, and 60 00:03:36,880 --> 00:03:39,880 Speaker 1: I think in the streetside it's very skeptical at first, 61 00:03:40,400 --> 00:03:42,680 Speaker 1: but now you know, really like a glad path to 62 00:03:42,680 --> 00:03:46,320 Speaker 1: get the deal done. Dan, speaking of Twitter, and I 63 00:03:46,360 --> 00:03:48,640 Speaker 1: know it's not your coverage universe, but stick with me here. 64 00:03:49,360 --> 00:03:51,880 Speaker 1: One of the questions around Twitter when Jack Dorsey wasn't 65 00:03:51,920 --> 00:03:55,520 Speaker 1: charged was when he also created Square now known as 66 00:03:55,560 --> 00:03:58,480 Speaker 1: Block I believe, and one of the concerns from a 67 00:03:58,520 --> 00:04:01,560 Speaker 1: lot of investors was it would essentially split his attention. 68 00:04:01,640 --> 00:04:06,760 Speaker 1: He can't give one enough of his leadership, and that's 69 00:04:06,960 --> 00:04:11,680 Speaker 1: perhaps why he moved from Twitter to Square now known 70 00:04:11,720 --> 00:04:14,760 Speaker 1: as Block. You do cover Tesla? Is that a risk 71 00:04:14,880 --> 00:04:18,160 Speaker 1: when it comes to Tesla? I think it's to perceive 72 00:04:18,200 --> 00:04:21,440 Speaker 1: the risk and and it is a real risk relative 73 00:04:21,560 --> 00:04:26,320 Speaker 1: to how it does. Must dive and deep end to 74 00:04:26,360 --> 00:04:28,719 Speaker 1: the pool with Twitter in terms of Issy a chairman, 75 00:04:28,839 --> 00:04:30,599 Speaker 1: because we we've that would be more of the role. 76 00:04:30,839 --> 00:04:33,960 Speaker 1: It's not gonna be CEO, who have others that would 77 00:04:34,080 --> 00:04:38,479 Speaker 1: ultimately as a private company, really try to transform Twitter. 78 00:04:39,160 --> 00:04:42,440 Speaker 1: But I think it does take attention at a time 79 00:04:43,240 --> 00:04:46,200 Speaker 1: that we're really going through just such an important time 80 00:04:46,279 --> 00:04:51,080 Speaker 1: for Tessa in terms of easy the shift among consumers. 81 00:04:51,800 --> 00:04:54,680 Speaker 1: You have the Giga factory build out in Berlin, Austin, 82 00:04:54,760 --> 00:04:57,120 Speaker 1: you have some of the issues clearly in China, which 83 00:04:57,120 --> 00:04:59,360 Speaker 1: is the hearts and longs, the Tesla story. And that's 84 00:04:59,400 --> 00:05:03,680 Speaker 1: why long perception you have to sell Pestler's shares is 85 00:05:03,680 --> 00:05:06,719 Speaker 1: why the stock down look as a testa holder. Your 86 00:05:06,839 --> 00:05:11,000 Speaker 1: dream is not for Musque to buy Twitter. It's a negative. 87 00:05:11,240 --> 00:05:13,840 Speaker 1: And I think that's why you see that reaction because 88 00:05:13,880 --> 00:05:18,000 Speaker 1: again the eyes of many you're trading in caviare for 89 00:05:18,040 --> 00:05:25,240 Speaker 1: a pretzel on Broadway descriptive. Yeah, I'm hungry. I like it. 90 00:05:25,279 --> 00:05:27,680 Speaker 1: But if he stays chairman, I understand. And you know, 91 00:05:27,839 --> 00:05:30,159 Speaker 1: we've obviously seen him do a couple of different jobs 92 00:05:30,680 --> 00:05:35,120 Speaker 1: with much greater success, arguably greater than Jack Dorsey. Right, 93 00:05:35,320 --> 00:05:37,719 Speaker 1: SpaceX and Twitter at the same time. Dan, great to 94 00:05:37,720 --> 00:05:39,760 Speaker 1: have you on. Thanks so much for joining us. Dan ives. 95 00:05:39,800 --> 00:05:47,320 Speaker 1: They are Managing director Senior equity analyst at Wedbush Security, 96 00:05:48,720 --> 00:05:52,200 Speaker 1: Andy Marsh plug Power, speaking of CEO and president of 97 00:05:52,200 --> 00:05:55,840 Speaker 1: plug Power. But it's not it doesn't do what you 98 00:05:55,839 --> 00:05:58,920 Speaker 1: think it does. Andy, I bet you a million people 99 00:05:59,000 --> 00:06:03,760 Speaker 1: think that you, um, you're all about e V technology, 100 00:06:03,800 --> 00:06:07,000 Speaker 1: but you're really about hydrogen and fuel cell technology. Right, 101 00:06:07,400 --> 00:06:11,080 Speaker 1: tell us our outline for us the difference, Well, I 102 00:06:11,120 --> 00:06:14,640 Speaker 1: think the mayor Hi match great being here. I think 103 00:06:14,680 --> 00:06:18,359 Speaker 1: The major difference matter is, and I would separate is 104 00:06:18,720 --> 00:06:22,640 Speaker 1: it's be these and be these run on batteries or 105 00:06:22,760 --> 00:06:28,240 Speaker 1: as the Corvette as a hybrid unit with batteries and 106 00:06:28,279 --> 00:06:32,479 Speaker 1: there were, and a fuel cell runs on hydrogen and 107 00:06:32,600 --> 00:06:35,640 Speaker 1: plug power. With our recent deal with walmart's going to 108 00:06:35,680 --> 00:06:39,480 Speaker 1: be generating twenty tons of green hydrogen too for them, 109 00:06:39,520 --> 00:06:43,240 Speaker 1: and a you know, a kilogram is a thousand tons 110 00:06:43,360 --> 00:06:46,320 Speaker 1: as one ton, and that's about thirty three to one 111 00:06:46,320 --> 00:06:50,599 Speaker 1: hours of electricity. So we generate hydrogen, we provide the 112 00:06:50,600 --> 00:06:54,920 Speaker 1: fuel cells which make vehicles run like last mile vehicles 113 00:06:54,960 --> 00:06:59,840 Speaker 1: and Class eight trucks. Yeah, that's another important difference, right 114 00:07:00,160 --> 00:07:03,320 Speaker 1: not um, you're not gonna be well, who knows what 115 00:07:03,400 --> 00:07:06,400 Speaker 1: happens and when Corvette comes out fully electric, but for 116 00:07:06,520 --> 00:07:11,680 Speaker 1: now you're not powering corvettes. You're powering what fork lifts 117 00:07:11,800 --> 00:07:14,800 Speaker 1: or trucks that get things, not the eighteen wheelers, but 118 00:07:14,880 --> 00:07:21,240 Speaker 1: the final destination trucks. Right With our JB with Renault, 119 00:07:21,240 --> 00:07:24,840 Speaker 1: which is called i DA, we planned it over the 120 00:07:24,880 --> 00:07:28,160 Speaker 1: next four or five years deploy over a hundred thousand 121 00:07:28,320 --> 00:07:32,280 Speaker 1: vehicles and they will run on duel cells. They will 122 00:07:32,360 --> 00:07:35,800 Speaker 1: be powered by fuel cells and batteries will be hybridge, 123 00:07:36,080 --> 00:07:39,000 Speaker 1: and that vehicle will be will be provided will be 124 00:07:39,040 --> 00:07:43,040 Speaker 1: powered by green hydrogen, which is generated by plug power. 125 00:07:43,720 --> 00:07:46,800 Speaker 1: We're building out five hundred tons of capacity here in 126 00:07:46,800 --> 00:07:49,800 Speaker 1: the United States as well as in Europe with our 127 00:07:49,880 --> 00:07:54,760 Speaker 1: partner Acciona, which is the largest provider of renewable electricity, 128 00:07:54,960 --> 00:07:59,080 Speaker 1: which will be used to create green hydrogen. So you 129 00:07:59,120 --> 00:08:02,080 Speaker 1: mentioned your deal with Smart. I'm curious, who's coming next? 130 00:08:04,080 --> 00:08:07,080 Speaker 1: Great question. You know, if you look at our chart 131 00:08:07,160 --> 00:08:12,480 Speaker 1: of customers, it includes people like Amazon, Home Depot and others. 132 00:08:12,840 --> 00:08:16,440 Speaker 1: I would expect that, like any company, we leverage our 133 00:08:16,440 --> 00:08:20,080 Speaker 1: present relationships to build out our business with new products, 134 00:08:20,560 --> 00:08:25,160 Speaker 1: and today I would think they're probably the prime candidates 135 00:08:25,160 --> 00:08:28,520 Speaker 1: to who comes next? If you have Amazon in Walmart, 136 00:08:28,520 --> 00:08:31,240 Speaker 1: I mean who else is there that's You've got the 137 00:08:31,240 --> 00:08:36,480 Speaker 1: whole market tied up? Why? Andy? Why you know the 138 00:08:36,600 --> 00:08:41,880 Speaker 1: stock has been in one sense beloved a darling the company. 139 00:08:41,920 --> 00:08:44,600 Speaker 1: I'll say, Um, I remember when Matt Winkler put you 140 00:08:44,600 --> 00:08:47,320 Speaker 1: guys in an op ed about the importance of what 141 00:08:47,400 --> 00:08:51,040 Speaker 1: you do. And on the on the other hand, um, 142 00:08:51,080 --> 00:08:53,880 Speaker 1: it's been a tough run for the stock for shareholders 143 00:08:53,880 --> 00:08:58,000 Speaker 1: over the last year. You've come down, you know over 144 00:08:58,040 --> 00:09:01,160 Speaker 1: the from the high year down about half. Why do 145 00:09:01,200 --> 00:09:04,960 Speaker 1: you think or what's the market getting wrong? Well, I 146 00:09:05,040 --> 00:09:08,240 Speaker 1: think that one item I think that's really critical matter 147 00:09:08,280 --> 00:09:12,400 Speaker 1: is that we have a very strong balance sheet. We 148 00:09:12,480 --> 00:09:15,000 Speaker 1: have over four billion dollars of cash in the bank 149 00:09:15,040 --> 00:09:18,160 Speaker 1: to build our plan. We won't be going to the market. 150 00:09:18,800 --> 00:09:21,200 Speaker 1: I think then you take on fat top of that 151 00:09:21,200 --> 00:09:27,120 Speaker 1: that there's three advantages to hydrogen. One is that the 152 00:09:27,240 --> 00:09:31,160 Speaker 1: world is committed to producing their CEO two footprint, and 153 00:09:31,200 --> 00:09:35,600 Speaker 1: the folks of Bloomberg believes hydrogeneral of it. The second 154 00:09:35,640 --> 00:09:38,679 Speaker 1: item is that you know, we're creating jobs. I've been 155 00:09:38,720 --> 00:09:42,320 Speaker 1: sitting here with Mackenzie today reviewing the job creation that 156 00:09:42,440 --> 00:09:46,280 Speaker 1: plug Power and us in the hydrogen industry will will produce. 157 00:09:46,800 --> 00:09:49,839 Speaker 1: It's going to be significant. And I think the third 158 00:09:49,880 --> 00:09:53,080 Speaker 1: item is that hydrogen and fuel cells are critical to 159 00:09:53,160 --> 00:09:58,400 Speaker 1: national security. We're substitute for natural gas. I think that 160 00:09:58,559 --> 00:10:01,720 Speaker 1: in the market, opportunities are large. You know, we can 161 00:10:01,800 --> 00:10:06,400 Speaker 1: survive this short term dip in the stock price because 162 00:10:06,440 --> 00:10:10,320 Speaker 1: the prospects long term are extremely positive and we have 163 00:10:10,360 --> 00:10:14,560 Speaker 1: the balance sheet to support it. Balance sheet to support it. 164 00:10:14,800 --> 00:10:17,160 Speaker 1: Talk to us a little bit about your cash, your debt. 165 00:10:17,240 --> 00:10:20,040 Speaker 1: One of the big I think rescuers maybe for lack 166 00:10:20,080 --> 00:10:22,080 Speaker 1: of a better term, when it comes to stock prices 167 00:10:22,160 --> 00:10:24,000 Speaker 1: right now, is the amount of cushion, the amount of 168 00:10:24,040 --> 00:10:28,719 Speaker 1: liquidity a company has talked to us about yours. Yeah, 169 00:10:28,760 --> 00:10:32,040 Speaker 1: at the moment, we have over four billion dollars of cash. 170 00:10:32,480 --> 00:10:37,320 Speaker 1: I foresee no need in the mid term to have 171 00:10:37,480 --> 00:10:39,600 Speaker 1: to be going to the market at all for cash. 172 00:10:39,880 --> 00:10:42,120 Speaker 1: And when I talk mid term, I'm talking three to 173 00:10:42,200 --> 00:10:49,280 Speaker 1: four years, all right, So very interesting set up there. Um. 174 00:10:49,600 --> 00:10:54,200 Speaker 1: Is hydrogen power fuel cell gonna be used for electric 175 00:10:54,240 --> 00:10:56,800 Speaker 1: corvettes eventually? Does it go beyond I mean not the 176 00:10:56,800 --> 00:11:00,079 Speaker 1: corvette specifically, but Andy, you get my meaning, to to 177 00:11:00,160 --> 00:11:02,839 Speaker 1: go beyond the last mile vehicles that you currently power. 178 00:11:04,120 --> 00:11:06,800 Speaker 1: Absolutely and I think you know, Plug spend a lot 179 00:11:06,840 --> 00:11:09,720 Speaker 1: of time looking at Class eight vehicles and just to 180 00:11:09,800 --> 00:11:14,000 Speaker 1: give you a feel, Walmart has about ten thousand Class 181 00:11:14,040 --> 00:11:18,480 Speaker 1: eight vehicles. Moving to a hydrogen power Class eight vehicles. 182 00:11:18,760 --> 00:11:23,080 Speaker 1: We reduced their carbon output by two three tons per 183 00:11:23,160 --> 00:11:26,600 Speaker 1: year per truck. That's a big number. Is to help 184 00:11:26,640 --> 00:11:30,479 Speaker 1: them reach their goal of one giga ton per year reduction. 185 00:11:31,000 --> 00:11:34,600 Speaker 1: So yes, we'll be there, Andy, Thanks so much. For 186 00:11:34,679 --> 00:11:37,160 Speaker 1: joining US. Andy Marsh there is the CEO and president 187 00:11:37,840 --> 00:11:42,040 Speaker 1: of Plug Power and UH as we have been discussing. 188 00:11:42,080 --> 00:11:45,000 Speaker 1: They deal with hydrogen and fuel cell technology. They put, 189 00:11:45,400 --> 00:11:50,079 Speaker 1: for example, UM the power into lift trucks for Walmart 190 00:11:50,240 --> 00:11:54,599 Speaker 1: and for Amazon and for a number of other big companies. 191 00:11:54,960 --> 00:11:58,400 Speaker 1: So UM plug Power. The ticker is p L Eugene 192 00:11:58,520 --> 00:12:01,720 Speaker 1: right now is trading at twenty one dollars and nineties 193 00:12:01,720 --> 00:12:08,520 Speaker 1: cents on the NAZ deck. Now let's talk China. I mean, 194 00:12:08,600 --> 00:12:13,439 Speaker 1: this is the driver between everything we've seen happen today 195 00:12:13,440 --> 00:12:18,120 Speaker 1: in equity markets, the fallout in commodities with oil down 196 00:12:18,280 --> 00:12:22,720 Speaker 1: five per cent UM, even the UH fixed income markets. 197 00:12:22,760 --> 00:12:27,360 Speaker 1: I mean, on Friday we were talking about which economists 198 00:12:27,360 --> 00:12:31,959 Speaker 1: could predict more rate rises from the Fed, right, I mean, 199 00:12:32,000 --> 00:12:34,640 Speaker 1: no Mura said fifty basis points now and then seventy 200 00:12:34,960 --> 00:12:39,440 Speaker 1: seventy five. Everyone else was saying fifty. Um. It was 201 00:12:39,480 --> 00:12:42,560 Speaker 1: like a contest. And now investors are clamoring to buy 202 00:12:42,600 --> 00:12:45,199 Speaker 1: ten year debt. I mean, if you think the Fed's 203 00:12:45,200 --> 00:12:47,600 Speaker 1: gonna raise rates that much, do you want to buy 204 00:12:47,679 --> 00:12:51,520 Speaker 1: today's paper? Um? I guess you do if you are 205 00:12:51,880 --> 00:12:54,120 Speaker 1: looking at what's coming out of only if you're freaked 206 00:12:54,120 --> 00:12:58,199 Speaker 1: out about the possibility that she Jin Ping is gonna 207 00:12:58,280 --> 00:13:01,600 Speaker 1: stick to his COVID zero Paul to see the economy 208 00:13:01,720 --> 00:13:05,920 Speaker 1: be damned. Damien sass Hour joins us now from Bloomberg Intelligence. 209 00:13:05,960 --> 00:13:07,800 Speaker 1: Is that what we're looking at, Damien, Well, look, I 210 00:13:07,800 --> 00:13:09,640 Speaker 1: mean it's very difficult to kind of think about where 211 00:13:09,720 --> 00:13:11,760 Speaker 1: US treasury yields are going. I mean, I don't put 212 00:13:11,800 --> 00:13:14,319 Speaker 1: any stock and where anyone is saying the dollar or 213 00:13:14,360 --> 00:13:15,880 Speaker 1: treasuries are going to go from here. But look, I 214 00:13:15,920 --> 00:13:17,480 Speaker 1: mean if you just look at where we are relative 215 00:13:17,559 --> 00:13:20,000 Speaker 1: only a few months ago, I could not model a 216 00:13:20,040 --> 00:13:21,760 Speaker 1: scenario in which you're going to get a positive toll 217 00:13:21,800 --> 00:13:23,800 Speaker 1: to return out of US fixed income. I just couldn't 218 00:13:23,840 --> 00:13:26,640 Speaker 1: do it. But today, given where yields are, it's definitely 219 00:13:26,679 --> 00:13:28,560 Speaker 1: a lot more plausible. And so look, if you're looking 220 00:13:28,640 --> 00:13:31,319 Speaker 1: for safe havens in a world in which there are none, 221 00:13:31,400 --> 00:13:33,760 Speaker 1: met um U s treasury is the long end of 222 00:13:33,760 --> 00:13:35,440 Speaker 1: the curve is starting to look a little bit appealing. 223 00:13:36,440 --> 00:13:40,520 Speaker 1: I'm very curious about the mobility data coming out of China. 224 00:13:40,640 --> 00:13:43,360 Speaker 1: This is something that I think a lot of uh 225 00:13:43,559 --> 00:13:46,920 Speaker 1: Chinese strategist or China strategists like yourself, um are are 226 00:13:47,000 --> 00:13:50,920 Speaker 1: looking at. But what I don't understand is that if 227 00:13:51,000 --> 00:13:54,400 Speaker 1: you have this mobility data that is really just a 228 00:13:54,400 --> 00:13:57,680 Speaker 1: function of COVID lockdowns, what is the read through into 229 00:13:57,920 --> 00:14:00,280 Speaker 1: exports for China, because that seems to be the ripple 230 00:14:00,320 --> 00:14:02,079 Speaker 1: effect for the rest of the world. Well, I mean 231 00:14:02,080 --> 00:14:04,240 Speaker 1: that you're hitting right on the screws. I mean, I'm cretty. 232 00:14:04,280 --> 00:14:06,040 Speaker 1: I mean, if you want to talk about export data, 233 00:14:06,080 --> 00:14:07,839 Speaker 1: this is the real reason that you want has come off. 234 00:14:07,840 --> 00:14:09,800 Speaker 1: It's because of the move in the Japanese yen, right, 235 00:14:09,840 --> 00:14:12,199 Speaker 1: I mean, we saw the Japanese yen has gotten absolutely 236 00:14:12,280 --> 00:14:14,320 Speaker 1: crushed this month. And what that does is it makes 237 00:14:14,400 --> 00:14:17,319 Speaker 1: Japanese exports that's that much more attractive relative to Asian 238 00:14:17,320 --> 00:14:20,600 Speaker 1: peers like South Korea, like China, and certainly our friends 239 00:14:20,600 --> 00:14:22,880 Speaker 1: in Beijing took stock of this. And look, I mean 240 00:14:23,120 --> 00:14:26,520 Speaker 1: twenty three big figure move on a dollar u on 241 00:14:26,960 --> 00:14:29,240 Speaker 1: just this month. I mean that is a very very 242 00:14:29,280 --> 00:14:31,320 Speaker 1: big move. And this is an economy where they have 243 00:14:31,400 --> 00:14:34,840 Speaker 1: made it an absolute mandate to keep the volatility of 244 00:14:34,920 --> 00:14:37,920 Speaker 1: dollar yuan to to a minimum. And look they're they're 245 00:14:37,920 --> 00:14:41,200 Speaker 1: they're basically repricing it, They're basically rerating it. And look 246 00:14:41,240 --> 00:14:43,320 Speaker 1: this is nothing new for China watchers, It's nothing new 247 00:14:43,360 --> 00:14:46,080 Speaker 1: for emergeny market investors. This happens once every what three 248 00:14:46,160 --> 00:14:48,400 Speaker 1: or five years, and you know, on the back of 249 00:14:48,400 --> 00:14:51,440 Speaker 1: it you see something like China high yield debt basically 250 00:14:51,480 --> 00:14:53,360 Speaker 1: lose fifty percent of its value, which we have, or 251 00:14:53,400 --> 00:14:56,800 Speaker 1: the equity market lose of its value year to date. Look, 252 00:14:56,840 --> 00:14:58,480 Speaker 1: you have to you have to weather that storm. This 253 00:14:58,560 --> 00:14:59,840 Speaker 1: is just the way it is when you're investing in 254 00:15:00,000 --> 00:15:02,520 Speaker 1: and A. But look, if you are looking at the 255 00:15:02,560 --> 00:15:04,960 Speaker 1: technicals and I hate to look at technicals and and 256 00:15:05,120 --> 00:15:06,560 Speaker 1: use that as a as as a sort of a 257 00:15:06,560 --> 00:15:09,040 Speaker 1: written with which to invest, I mean, you look at 258 00:15:09,040 --> 00:15:11,200 Speaker 1: margin lending, it's it's it's at a very low level. 259 00:15:11,280 --> 00:15:14,040 Speaker 1: If you look at um, if you look at liquidity levels, 260 00:15:14,080 --> 00:15:16,480 Speaker 1: you know, I mean they're they're they're they're starting to improve. 261 00:15:16,520 --> 00:15:18,400 Speaker 1: So you know, you're starting to see you know, some 262 00:15:18,440 --> 00:15:21,480 Speaker 1: people kind of bottom feeding into Chinese equities. But for me, 263 00:15:21,960 --> 00:15:23,480 Speaker 1: you know, the risk is just not there. I mean, 264 00:15:23,480 --> 00:15:25,720 Speaker 1: despite the light investor positioning, I mean, there's just so 265 00:15:25,840 --> 00:15:28,520 Speaker 1: much risk behind it. And given what's going on here 266 00:15:28,520 --> 00:15:29,960 Speaker 1: with the A d R listings in the US and 267 00:15:29,960 --> 00:15:31,440 Speaker 1: the fact that many of then me get you know, 268 00:15:31,480 --> 00:15:33,960 Speaker 1: pushed out to Hong Kong. It's just not a recipe 269 00:15:34,000 --> 00:15:35,840 Speaker 1: for success of them. I mean I read in a 270 00:15:35,840 --> 00:15:40,400 Speaker 1: Bloomberg story a couple of hours ago that in Shanghai 271 00:15:41,480 --> 00:15:45,520 Speaker 1: workers in hasmat suits fanning out over the weekend to 272 00:15:45,640 --> 00:15:50,360 Speaker 1: install steal fences around buildings with positive COVID cases. Well, 273 00:15:50,400 --> 00:15:53,680 Speaker 1: what's the imagery to me is shocking. But my question 274 00:15:53,800 --> 00:15:58,160 Speaker 1: is how does the PBOC react, you know, how does 275 00:15:58,240 --> 00:16:05,280 Speaker 1: the um fiscal stimulus piece uh coming sort of balance 276 00:16:05,400 --> 00:16:10,080 Speaker 1: that on the teeter totter of COVID zero versus economic growth. Well, 277 00:16:10,120 --> 00:16:12,680 Speaker 1: China has been very successful with the total social financing 278 00:16:12,720 --> 00:16:15,160 Speaker 1: and injecting fiscal stimulus into the economy and doing it 279 00:16:15,200 --> 00:16:17,400 Speaker 1: in the right way. But you're absolutely right this economy, 280 00:16:17,400 --> 00:16:19,920 Speaker 1: I mean, investors have been waiting waiting for Godot I guess, 281 00:16:20,280 --> 00:16:22,680 Speaker 1: waiting for the PBOC to come in and start cutting 282 00:16:22,760 --> 00:16:24,640 Speaker 1: rates and for me, you know, what they have not 283 00:16:24,720 --> 00:16:27,120 Speaker 1: been able to achieve is, you know, to really get 284 00:16:27,160 --> 00:16:28,640 Speaker 1: in front of the curve, to really show that the 285 00:16:28,680 --> 00:16:31,680 Speaker 1: monetary support is sufficient to offset the GDP decline. So 286 00:16:31,720 --> 00:16:33,960 Speaker 1: what are we calling for, as we were calling for 287 00:16:34,040 --> 00:16:36,160 Speaker 1: last year, We're calling for more triple our cuts. I 288 00:16:36,160 --> 00:16:37,880 Speaker 1: think we're calling for something on the order of seventy 289 00:16:37,880 --> 00:16:39,760 Speaker 1: five BIPs of cuts this year. We're also calling for 290 00:16:39,800 --> 00:16:42,440 Speaker 1: another thirty BIPs of cuts to the medium to lending, 291 00:16:42,520 --> 00:16:45,560 Speaker 1: the medium term lending facility. This is all good, but 292 00:16:45,720 --> 00:16:48,040 Speaker 1: certainly it just doesn't look like it's going to be enough. 293 00:16:48,080 --> 00:16:50,080 Speaker 1: And if you just look at the reserves in China 294 00:16:50,360 --> 00:16:52,760 Speaker 1: three point one three point two trillion, it's they've got 295 00:16:52,880 --> 00:16:56,000 Speaker 1: tons of cushion there. One would think that they'd rather 296 00:16:56,080 --> 00:16:58,680 Speaker 1: not dip into that in order to supplement the economy, 297 00:16:58,720 --> 00:17:01,640 Speaker 1: that they'd rather you know, in age and monetary easing 298 00:17:01,680 --> 00:17:03,680 Speaker 1: in order to do it. But look, the verdict is 299 00:17:03,720 --> 00:17:05,560 Speaker 1: still at right now you've got China U S yield 300 00:17:05,560 --> 00:17:08,040 Speaker 1: differentials in verted. You should not see that. It's something 301 00:17:08,080 --> 00:17:11,080 Speaker 1: we rarely see. It's obviously being driven by US treasury 302 00:17:11,160 --> 00:17:14,080 Speaker 1: yields on one hand, but rest assured you know the 303 00:17:14,119 --> 00:17:16,359 Speaker 1: dollar you on cross rate follows that. Very few I 304 00:17:16,400 --> 00:17:19,119 Speaker 1: think that bounces back by the way I do. I 305 00:17:19,119 --> 00:17:21,400 Speaker 1: absolutely do. I think if if it's right now, basically 306 00:17:21,480 --> 00:17:24,800 Speaker 1: ideas you can get more buying US tenure treasuries than 307 00:17:24,840 --> 00:17:26,960 Speaker 1: you can buying ten year debt in China, I think 308 00:17:27,040 --> 00:17:29,280 Speaker 1: I think that China's hand is being forced here by 309 00:17:29,280 --> 00:17:30,919 Speaker 1: the market. I think they're going to have to slash 310 00:17:30,960 --> 00:17:33,080 Speaker 1: rates in order to protect their economy. I mean, look, 311 00:17:33,119 --> 00:17:35,280 Speaker 1: you know it's a very different economy, right, and so 312 00:17:35,720 --> 00:17:38,320 Speaker 1: you know it remains to be seen. But if you 313 00:17:38,359 --> 00:17:40,119 Speaker 1: just look at all the health care signs, you look 314 00:17:40,160 --> 00:17:43,000 Speaker 1: at the entre offshore are China un basis where at 315 00:17:43,000 --> 00:17:45,000 Speaker 1: three hundred bits, that's like a two and two and 316 00:17:45,040 --> 00:17:47,239 Speaker 1: a half standard deviation move or something like that. If 317 00:17:47,240 --> 00:17:50,640 Speaker 1: you look at one month delta risk reversals on dollar 318 00:17:50,760 --> 00:17:53,840 Speaker 1: you on, I mean they are screaming of dollar call buying. 319 00:17:53,920 --> 00:17:56,359 Speaker 1: You know, you've got Cinepeg, You've got PetroChina. You know 320 00:17:56,359 --> 00:18:00,879 Speaker 1: their big energy exporters all uh purchase protection against the 321 00:18:01,000 --> 00:18:03,240 Speaker 1: rising dollars. So you know, the concern is there, and 322 00:18:03,280 --> 00:18:06,639 Speaker 1: I think Beijing is finally getting the getting the hints hopefully, Damien. 323 00:18:06,640 --> 00:18:09,199 Speaker 1: Thanks so much for joining us, Damian Sassaur. They're from 324 00:18:09,320 --> 00:18:12,280 Speaker 1: Bloomberg Intelligence. By the way, dropping a pop culture reference. 325 00:18:12,560 --> 00:18:16,520 Speaker 1: You can't do that with Critty. She's only what have 326 00:18:16,600 --> 00:18:21,800 Speaker 1: you seen waiting for good? But to class she hasn't 327 00:18:21,840 --> 00:18:27,360 Speaker 1: seen Armageddon and she hasn't seen waiting for good. Have confused? Confused? 328 00:18:27,520 --> 00:18:30,479 Speaker 1: Know what you're from Texas? That has nothing to do 329 00:18:30,560 --> 00:18:31,920 Speaker 1: with it. You know what I've seen top gun and 330 00:18:31,920 --> 00:18:35,000 Speaker 1: that's all that matters. Point, fair point, Damian, Thanks so 331 00:18:35,119 --> 00:18:44,080 Speaker 1: much for joining us. We had so much to talk 332 00:18:44,119 --> 00:18:46,720 Speaker 1: about with Shinali Bastik. I was thinking about you this 333 00:18:46,760 --> 00:18:50,840 Speaker 1: weekend because well I read your story The Mooch, which 334 00:18:50,880 --> 00:18:55,920 Speaker 1: I loved, and then the plot can saga continues unbelievable. 335 00:18:56,480 --> 00:18:59,800 Speaker 1: If you don't know Gabe plotting is the I guess 336 00:18:59,800 --> 00:19:03,360 Speaker 1: he is considered like genius hedge fund manager who ran 337 00:19:03,440 --> 00:19:07,159 Speaker 1: Melvin Capital and got destroyed by Wall Street bets and 338 00:19:07,240 --> 00:19:12,560 Speaker 1: the kind of uh bro vests on Reddit, and now 339 00:19:12,760 --> 00:19:15,800 Speaker 1: he came out with the He had the gall last 340 00:19:15,800 --> 00:19:17,320 Speaker 1: week to come out and say, you know what, I'm 341 00:19:17,320 --> 00:19:21,560 Speaker 1: gonna start charging my investors more. Yeah, is that right? Basically, 342 00:19:22,280 --> 00:19:24,640 Speaker 1: so he was going to reboot his fund and now 343 00:19:24,680 --> 00:19:26,879 Speaker 1: he's going back to the drawing board. He apologized. He 344 00:19:26,880 --> 00:19:29,239 Speaker 1: said he we hear the phrase reboot a lot, but 345 00:19:29,600 --> 00:19:32,479 Speaker 1: all I was reading was two and twenty. Yeah. Yeah, 346 00:19:32,520 --> 00:19:35,040 Speaker 1: I mean that's the thing. You can't just reboot by 347 00:19:35,119 --> 00:19:38,199 Speaker 1: pretending everything else didn't happen in the past. That that is, 348 00:19:38,240 --> 00:19:40,800 Speaker 1: if I had to draw this down to one line, 349 00:19:40,800 --> 00:19:42,600 Speaker 1: it's that. And the reason I wanted to kind of 350 00:19:42,680 --> 00:19:46,200 Speaker 1: draw these stories together is that actually Anthony Scaramucci's firm, 351 00:19:46,280 --> 00:19:50,680 Speaker 1: Skybridge was an investor in Melvin Capital. So yeah, really 352 00:19:50,720 --> 00:19:53,680 Speaker 1: that's cool. So yeah, well that's the thing. These companies 353 00:19:53,720 --> 00:19:56,200 Speaker 1: are very intertwined. And when it comes to Gay plot again, 354 00:19:56,320 --> 00:19:58,680 Speaker 1: he's the next generation of fund managers, right, it's him, 355 00:19:58,680 --> 00:20:01,320 Speaker 1: It's stand sometime, it's all of these younger stars that 356 00:20:01,359 --> 00:20:04,840 Speaker 1: are hitting their first big sets of issues. And if 357 00:20:04,840 --> 00:20:07,879 Speaker 1: you look at Gay Platkin, he got caught up last 358 00:20:07,960 --> 00:20:10,400 Speaker 1: year in that Reddit saga in the short squeeze, then 359 00:20:10,480 --> 00:20:13,480 Speaker 1: this year in the market draw downs, a lot of 360 00:20:13,520 --> 00:20:15,760 Speaker 1: pain among him and his peers. By the way, I 361 00:20:15,800 --> 00:20:18,720 Speaker 1: take back the term bro investors. That was not fair. 362 00:20:19,240 --> 00:20:21,000 Speaker 1: There are a lot of good bros in the world, 363 00:20:21,119 --> 00:20:26,280 Speaker 1: and I don't mean to to to smear their good 364 00:20:26,400 --> 00:20:32,920 Speaker 1: name with bets. Well here's the problem. But the mooch 365 00:20:33,000 --> 00:20:36,199 Speaker 1: fits I mean, right, well, here's the thing. I mean, 366 00:20:36,200 --> 00:20:38,800 Speaker 1: there's some bros involved, yes, of course, but however, a 367 00:20:38,840 --> 00:20:41,359 Speaker 1: lot of these are you know, privy fund funds that 368 00:20:41,359 --> 00:20:44,840 Speaker 1: are privy to big institutional investors that are very unbrolike 369 00:20:44,960 --> 00:20:48,240 Speaker 1: and in fact don't love the bro behavior. So it 370 00:20:48,960 --> 00:20:52,800 Speaker 1: is definitely like this idea that you know, I'll even 371 00:20:52,800 --> 00:20:55,480 Speaker 1: read from our story Sussex Partners selects hedge funds on 372 00:20:55,520 --> 00:20:58,960 Speaker 1: behalf of clients big institutional investors. He they set told 373 00:20:58,960 --> 00:21:02,679 Speaker 1: Bloomberg that resetting high watermarks at new higher levels, it 374 00:21:02,680 --> 00:21:05,840 Speaker 1: ain't gonna cut it right, So you can't just start 375 00:21:05,880 --> 00:21:08,840 Speaker 1: over here after after some batt It's not hard for 376 00:21:08,880 --> 00:21:12,439 Speaker 1: me to believe that Scaramucci and Melvin are in bed together. 377 00:21:13,280 --> 00:21:16,880 Speaker 1: I was shocked that when I first heard, I think 378 00:21:16,880 --> 00:21:19,000 Speaker 1: a couple of weeks ago, that Assault was going to 379 00:21:19,080 --> 00:21:21,199 Speaker 1: go down to the Bahamas and hang out with my 380 00:21:21,280 --> 00:21:26,080 Speaker 1: boy Sam Bankman Freed. These two people don't seem like 381 00:21:26,160 --> 00:21:31,440 Speaker 1: peas in a pod, right, Anthony Scaramucci, who worked for 382 00:21:31,520 --> 00:21:35,320 Speaker 1: Donald Trump for eleven days, he was too Trump to 383 00:21:35,440 --> 00:21:39,840 Speaker 1: stay with the Trump administration. He's getting together the opposite. 384 00:21:39,920 --> 00:21:46,159 Speaker 1: Actually super genius with this incredible like m I T Havenford, Loss, 385 00:21:46,280 --> 00:21:51,720 Speaker 1: Sand Bankman Freed and by the way, liberal Biden donor, 386 00:21:52,240 --> 00:21:54,760 Speaker 1: they's hanging out with the Mouci Yeah, this is interesting. 387 00:21:54,800 --> 00:21:57,560 Speaker 1: I think that that's you know, because Anthony Scaramucci had 388 00:21:57,560 --> 00:21:59,600 Speaker 1: spent some time in the Trump White House. There's this 389 00:21:59,640 --> 00:22:02,439 Speaker 1: concept that he is, you know, trumpy, I guess. But 390 00:22:02,520 --> 00:22:05,159 Speaker 1: the thing is, now, in addition to setting up this 391 00:22:05,200 --> 00:22:07,720 Speaker 1: new conference, you know, we know Sam Bank from Freed 392 00:22:07,800 --> 00:22:10,240 Speaker 1: is a huge Democratic donor and a huge donor to politics. 393 00:22:10,280 --> 00:22:13,119 Speaker 1: We know that Anthony Scaramucci actually is part of a 394 00:22:13,119 --> 00:22:17,320 Speaker 1: pack that's actually donating money or contributing money to both 395 00:22:17,400 --> 00:22:20,360 Speaker 1: Democrats and Republicans. I guess they all they all pay 396 00:22:20,400 --> 00:22:23,280 Speaker 1: off politicians on both sides of the Aisland. The idea 397 00:22:23,400 --> 00:22:28,200 Speaker 1: here that they have is to really contribute to especially 398 00:22:28,200 --> 00:22:31,840 Speaker 1: Democratic politicians who are pro crypto. They think it's going 399 00:22:31,880 --> 00:22:34,720 Speaker 1: to be a single issue vote into the midterms, into 400 00:22:34,800 --> 00:22:37,280 Speaker 1: the next set of elections. So you know, yes, they 401 00:22:37,320 --> 00:22:39,440 Speaker 1: have their pack that's on the side. But in addition 402 00:22:39,480 --> 00:22:41,240 Speaker 1: to that, this week they were going to have a 403 00:22:41,280 --> 00:22:44,960 Speaker 1: thousand people. Now it's closer to two thousand people heading 404 00:22:44,960 --> 00:22:48,080 Speaker 1: down to the Bahamas in order to talk about crypto, 405 00:22:48,240 --> 00:22:51,080 Speaker 1: pump up the crypto industry and really get more people 406 00:22:51,560 --> 00:22:54,480 Speaker 1: excited about crypto. As Skybridge. By the way, he told 407 00:22:54,480 --> 00:22:57,160 Speaker 1: me Anthony told me that Skybridge has really been gaining 408 00:22:57,160 --> 00:23:00,000 Speaker 1: from cryptocurrencies as some of these other hedge funds don't 409 00:23:00,119 --> 00:23:05,879 Speaker 1: do as well. They bought bitcoin at they're better than fire? 410 00:23:05,920 --> 00:23:11,960 Speaker 1: Are you going to fight? What not to fire that already? 411 00:23:12,320 --> 00:23:16,520 Speaker 1: Are you are not? Going? So my furious because I'm 412 00:23:16,520 --> 00:23:19,320 Speaker 1: going to milk in next week and so that there's 413 00:23:19,359 --> 00:23:21,359 Speaker 1: a lot of conferences going on. You've got to wonder 414 00:23:21,400 --> 00:23:23,640 Speaker 1: how long this goes on for. Remember, people are still 415 00:23:23,640 --> 00:23:25,959 Speaker 1: worried about COVID. I'm checking to see if I need 416 00:23:25,960 --> 00:23:29,439 Speaker 1: to good test which people are still worried about COVID investors, 417 00:23:29,440 --> 00:23:32,159 Speaker 1: anybody that's meeting up in large groups right now? A 418 00:23:32,200 --> 00:23:33,960 Speaker 1: lot of people are. And by the way, have you 419 00:23:33,960 --> 00:23:35,840 Speaker 1: guys tried to get an uber in New York? It's 420 00:23:35,880 --> 00:23:40,040 Speaker 1: like seventy bucks to get forty blocks. So it is, 421 00:23:40,359 --> 00:23:42,760 Speaker 1: you know, hard to get around because people are meeting 422 00:23:42,840 --> 00:23:46,600 Speaker 1: in mass and you know, next week it's time to 423 00:23:46,600 --> 00:23:48,960 Speaker 1: do that little COVID check to see how many people 424 00:23:49,040 --> 00:23:51,720 Speaker 1: went to these confermes. You're going to milk in. You 425 00:23:51,960 --> 00:23:54,960 Speaker 1: pretty you just went to this oil conference that I 426 00:23:55,000 --> 00:23:56,720 Speaker 1: loved you at. What was that did a month ago? 427 00:23:56,800 --> 00:24:00,959 Speaker 1: Sara week Sarah week. What's your next conference? Uh? TVD 428 00:24:01,240 --> 00:24:03,840 Speaker 1: the powers that you have not told me. I'll be. 429 00:24:04,040 --> 00:24:05,760 Speaker 1: But do we not have anyone going to the Bahamas? 430 00:24:06,760 --> 00:24:11,160 Speaker 1: I don't know. So no, no, But you know, frankly, like, 431 00:24:11,440 --> 00:24:14,520 Speaker 1: here's the thing, my this is, this is a Twitter 432 00:24:14,520 --> 00:24:18,120 Speaker 1: People communicate of course through Twitter messages, and so my 433 00:24:18,119 --> 00:24:21,600 Speaker 1: my Twitter message inbox is chock full of everyone who's 434 00:24:21,600 --> 00:24:24,439 Speaker 1: in the Bahamas. So I do feel like I'm getting by. 435 00:24:24,800 --> 00:24:27,000 Speaker 1: I'll go, I'll be not the Tan. You should go. 436 00:24:27,040 --> 00:24:30,520 Speaker 1: You have a crypto show tomorrow? Yeah, and what when 437 00:24:30,520 --> 00:24:33,520 Speaker 1: does this conference kick off tomorrow? Oh? So maybe I'll 438 00:24:33,560 --> 00:24:37,119 Speaker 1: just fly in after your show, my show. Um, if 439 00:24:37,160 --> 00:24:39,760 Speaker 1: anybody out there is listening with a private jet and 440 00:24:39,800 --> 00:24:45,480 Speaker 1: you're on your way feeling a little generous, is it? 441 00:24:45,720 --> 00:24:47,959 Speaker 1: Are we? Are we going to hit a crypto winter here? 442 00:24:48,000 --> 00:24:49,640 Speaker 1: I mean we're off what we were off another three 443 00:24:49,640 --> 00:24:51,760 Speaker 1: percent this morning. Now, it's a great question. There's a 444 00:24:51,760 --> 00:24:54,399 Speaker 1: lot of questions about at the Lunar Project and the 445 00:24:54,440 --> 00:24:57,680 Speaker 1: buying of cryptocurrencies. There's a lot of questions around what 446 00:24:57,880 --> 00:25:00,200 Speaker 1: is the next leg, you know, what's going to push 447 00:25:00,240 --> 00:25:03,320 Speaker 1: crypto actually higher. There was so much adoption last year 448 00:25:03,840 --> 00:25:06,680 Speaker 1: people are really excited about the Lightning network. We're talking 449 00:25:06,720 --> 00:25:09,920 Speaker 1: to Jack Maller's later today of strike. That's a big form. 450 00:25:10,000 --> 00:25:13,119 Speaker 1: You know, if I told you that payments volumes surpassed 451 00:25:13,200 --> 00:25:15,840 Speaker 1: Visa on the bitcoin network last year, you don't see 452 00:25:15,840 --> 00:25:19,760 Speaker 1: it in the price today. And so I just you 453 00:25:19,840 --> 00:25:23,560 Speaker 1: just reminded me about. Um. What I loved about your 454 00:25:23,680 --> 00:25:27,080 Speaker 1: interview with Scaramucci is he pointed out that he was 455 00:25:27,240 --> 00:25:30,639 Speaker 1: in a meeting like forever ago in Washington, d C. 456 00:25:31,280 --> 00:25:34,960 Speaker 1: With somebody from Treasury who was like, we should think 457 00:25:35,000 --> 00:25:37,639 Speaker 1: about doing the digital dollar, and he was like how 458 00:25:37,680 --> 00:25:39,560 Speaker 1: and they said, put it on the blockchain and he 459 00:25:39,600 --> 00:25:44,480 Speaker 1: was like, oh oh, that a wake up call for him. 460 00:25:44,480 --> 00:25:47,560 Speaker 1: And I thought that was just a brilliant little blurb 461 00:25:47,680 --> 00:25:50,159 Speaker 1: from that from that story, So I recommend uh you 462 00:25:50,240 --> 00:25:53,480 Speaker 1: all always read Shnali's reporting. Do you have a newsletter 463 00:25:53,600 --> 00:25:57,680 Speaker 1: I do every Friday? And how do we subscribe to that? 464 00:25:57,760 --> 00:25:59,920 Speaker 1: You can subscribe on the terminal and you can also 465 00:26:00,040 --> 00:26:03,040 Speaker 1: subscribe on my LinkedIn and you can just email me 466 00:26:03,080 --> 00:26:05,640 Speaker 1: I'll put you on the letter. All right, Very cool, 467 00:26:05,800 --> 00:26:08,800 Speaker 1: many many options, Very very cool. All right. Snollie Bassett 468 00:26:08,840 --> 00:26:14,280 Speaker 1: covers Wall Street for US. Thanks for listening to the 469 00:26:14,320 --> 00:26:18,240 Speaker 1: Bloomberg Markets podcast, you can subscribe and listen to interviews 470 00:26:18,240 --> 00:26:22,560 Speaker 1: of Apple Podcasts or whatever podcast platform you prefer. I'm 471 00:26:22,560 --> 00:26:26,920 Speaker 1: Matt Miller. I'm on Twitter at Matt Miller three. Put 472 00:26:26,960 --> 00:26:29,560 Speaker 1: on fall Sweeney. I'm on Twitter at pt Sweeney Before 473 00:26:29,600 --> 00:26:32,440 Speaker 1: the podcast. You can always catch us worldwide at Bloomberg 474 00:26:32,520 --> 00:26:32,760 Speaker 1: Radio