1 00:00:05,920 --> 00:00:07,640 Speaker 1: Welcome to Fear and Greed Q and A, where we 2 00:00:07,680 --> 00:00:11,160 Speaker 1: ask and answer questions about business, investing, economics, politics and more. 3 00:00:11,240 --> 00:00:15,160 Speaker 1: I'm Sean Alma. The Wall Street tech giants are surging well, 4 00:00:15,320 --> 00:00:17,120 Speaker 1: some of them are surging, some of them not so much. 5 00:00:17,160 --> 00:00:21,480 Speaker 1: Following Arn's and earnings announcements in recent days, the Magnificent 6 00:00:21,520 --> 00:00:25,680 Speaker 1: seven and Video, Apple, Microsoft, Amazon, Alphabet, Meta and Tesla 7 00:00:26,079 --> 00:00:28,920 Speaker 1: now comprised about one third. In fact, it's more than 8 00:00:28,920 --> 00:00:30,920 Speaker 1: one third of the S and P five hundred. I 9 00:00:30,960 --> 00:00:32,720 Speaker 1: wanted to take a closer look at the results and 10 00:00:32,720 --> 00:00:35,599 Speaker 1: see how it's all playing out for investors. Remember this 11 00:00:35,640 --> 00:00:38,200 Speaker 1: is general information only and should alway seek advice before 12 00:00:38,200 --> 00:00:41,920 Speaker 1: making investment decisions. Josh Gilbert is a market analyst at 13 00:00:41,960 --> 00:00:44,080 Speaker 1: E Toro. Josh, welcome back to Fear and Greed Q 14 00:00:44,159 --> 00:00:44,360 Speaker 1: and A. 15 00:00:44,560 --> 00:00:47,160 Speaker 2: Thanks having me, but Sean, great to with you before we. 16 00:00:47,080 --> 00:00:52,760 Speaker 1: Get into the results. These names. People in Australian retail 17 00:00:52,800 --> 00:00:55,880 Speaker 1: investors invest in these big textalks, don't they. 18 00:00:55,760 --> 00:00:57,560 Speaker 2: They do, Yeah, they absolutely love them. 19 00:00:57,960 --> 00:01:01,760 Speaker 3: They are what dominic the sort of top holdings here 20 00:01:01,840 --> 00:01:04,679 Speaker 3: at Alieti wherever that is from you know Microsoft through 21 00:01:04,760 --> 00:01:07,679 Speaker 3: to inn Video even you know that the text scene 22 00:01:07,680 --> 00:01:10,640 Speaker 3: in general really is is just dominating what investors want 23 00:01:10,680 --> 00:01:14,520 Speaker 3: to own. So I think it's you know, been you know, 24 00:01:14,600 --> 00:01:17,240 Speaker 3: rewarding investors, which is the good thing here, right. These 25 00:01:17,240 --> 00:01:19,400 Speaker 3: are the names that keep delivering that you know, continue 26 00:01:19,440 --> 00:01:21,280 Speaker 3: to see growth and that's why they continue to be 27 00:01:21,680 --> 00:01:24,280 Speaker 3: to be owned and continue to be held, you know, 28 00:01:24,360 --> 00:01:26,720 Speaker 3: year after year we continue to sort of see the 29 00:01:26,760 --> 00:01:29,760 Speaker 3: same names popping up and even in the sort of 30 00:01:29,760 --> 00:01:33,639 Speaker 3: the most owned, even from you know, quarter on quarter, 31 00:01:34,040 --> 00:01:36,000 Speaker 3: you know, what people continue to buy. It is still 32 00:01:36,040 --> 00:01:38,000 Speaker 3: sort of those names that we continue to see increases 33 00:01:38,040 --> 00:01:38,960 Speaker 3: in each month as well. 34 00:01:39,640 --> 00:01:42,080 Speaker 1: Okay, so broadly, how do you think that we haven't 35 00:01:42,080 --> 00:01:45,640 Speaker 1: had in video's number out yet? But broadly have the 36 00:01:45,680 --> 00:01:48,279 Speaker 1: TikTok's done in the September quarter inning season? 37 00:01:48,400 --> 00:01:50,280 Speaker 2: Yeah, it's it's been good. Yeah. 38 00:01:50,640 --> 00:01:53,440 Speaker 3: I think there's a couple of names that I think 39 00:01:53,520 --> 00:01:57,200 Speaker 3: Meta was probably the standout from the perspective of maybe 40 00:01:57,240 --> 00:02:00,559 Speaker 3: not delivering big charge from a tax perspective, but overall 41 00:02:00,560 --> 00:02:02,400 Speaker 3: it was pretty good. And once again, the sort of 42 00:02:02,400 --> 00:02:06,000 Speaker 3: the key takeaway and the key theme was that what 43 00:02:06,080 --> 00:02:08,040 Speaker 3: I believe is that we're not just sort of seeing 44 00:02:08,080 --> 00:02:11,440 Speaker 3: hype here, We're continuing to see it sort of translate 45 00:02:11,480 --> 00:02:13,960 Speaker 3: and hit the bottom line. These companies are growing revenue 46 00:02:14,000 --> 00:02:18,040 Speaker 3: at huge, huge scale. They also are pouring extraordinary amounts 47 00:02:18,080 --> 00:02:20,520 Speaker 3: of capital into sort of building the infrastructure that is 48 00:02:20,520 --> 00:02:23,799 Speaker 3: obviously powering AI. And I think that, you know, question 49 00:02:23,880 --> 00:02:25,919 Speaker 3: marks continue to sort of come up on how much 50 00:02:25,960 --> 00:02:29,080 Speaker 3: these companies are spending. By you know, twenty twenty seven, 51 00:02:29,240 --> 00:02:31,640 Speaker 3: some of the biggest cloud enablers in the world are 52 00:02:31,639 --> 00:02:33,840 Speaker 3: expected to spend close to half a trillion dollars. Right 53 00:02:33,919 --> 00:02:36,720 Speaker 3: so you're spending big, but I think it's a necessity 54 00:02:36,919 --> 00:02:39,280 Speaker 3: right now. It's not a luxury. It's something that needs 55 00:02:39,280 --> 00:02:41,120 Speaker 3: to be done if you want to sort of stay ahead. 56 00:02:41,120 --> 00:02:43,480 Speaker 3: And the fact that we are seeing it translate into 57 00:02:43,520 --> 00:02:45,359 Speaker 3: some of those bottom lines, you know, all of these 58 00:02:45,400 --> 00:02:47,240 Speaker 3: companies that are making more money than they ever have 59 00:02:47,320 --> 00:02:47,920 Speaker 3: done before. 60 00:02:48,000 --> 00:02:50,880 Speaker 2: So as I say, expensive but essential in my eyes. 61 00:02:51,400 --> 00:02:53,960 Speaker 1: So someone there has kept expending, and I think there's 62 00:02:54,000 --> 00:02:55,760 Speaker 1: some of the numbers of actually surprised in this is 63 00:02:55,800 --> 00:02:57,600 Speaker 1: by the size of it. And so there's a bit 64 00:02:57,600 --> 00:03:02,280 Speaker 1: of a deep on on first it's you've got to 65 00:03:02,320 --> 00:03:03,919 Speaker 1: make a lot of money to make a pout of 66 00:03:04,000 --> 00:03:06,600 Speaker 1: trillion dollars, Like is there a risk that it doesn't 67 00:03:06,639 --> 00:03:07,320 Speaker 1: pay back. 68 00:03:08,000 --> 00:03:10,000 Speaker 3: But absolutely I think I think that's the case, right, 69 00:03:10,080 --> 00:03:12,160 Speaker 3: and I think that's what is maybe worrying some investors. 70 00:03:12,600 --> 00:03:14,680 Speaker 3: It depends on the companies that we look at. Right. 71 00:03:14,680 --> 00:03:17,799 Speaker 3: One of the biggest ones recently was Oracle. You know, 72 00:03:17,800 --> 00:03:19,079 Speaker 3: I think I jumped on with Michael and had a 73 00:03:19,120 --> 00:03:21,480 Speaker 3: chat about Oracle about a month or so ago, had 74 00:03:21,480 --> 00:03:24,840 Speaker 3: its best day in you know, decades, ultimately on the 75 00:03:24,880 --> 00:03:27,360 Speaker 3: back of you know, new partnerships and sort of you know, 76 00:03:27,520 --> 00:03:30,120 Speaker 3: ongoing contracts that are expected to come through. The trouble 77 00:03:30,120 --> 00:03:32,639 Speaker 3: there with something like Oracle is that it's on sort 78 00:03:32,639 --> 00:03:36,160 Speaker 3: of promise contracts, not necessarily revenue that's actually coming. 79 00:03:35,920 --> 00:03:36,720 Speaker 2: Through the doors of yet. 80 00:03:36,720 --> 00:03:40,200 Speaker 3: Whereas when we look at Microsoft, Microsoft shares fell last 81 00:03:40,240 --> 00:03:43,200 Speaker 3: week on the view that their capex had sort of 82 00:03:43,200 --> 00:03:45,160 Speaker 3: grown at you know, slightly out of hand, was what 83 00:03:45,200 --> 00:03:47,520 Speaker 3: investors felt, you know. For the quarter of capex was 84 00:03:47,560 --> 00:03:50,400 Speaker 3: thirty five billion, which was over five billion dollars ahead 85 00:03:50,400 --> 00:03:52,720 Speaker 3: of expectations, which is obviously a lot of money. But 86 00:03:52,920 --> 00:03:55,000 Speaker 3: the difference is we heard from cfo Amy Hood and 87 00:03:55,040 --> 00:03:57,600 Speaker 3: she essentially said, we're having to spend that money to 88 00:03:57,600 --> 00:03:59,640 Speaker 3: meet the demand that we're getting so they're getting money 89 00:03:59,640 --> 00:04:01,840 Speaker 3: through the or and then they're spending it to deliver 90 00:04:01,920 --> 00:04:04,480 Speaker 3: it to you know, ultimately the enterprises that are spending 91 00:04:05,240 --> 00:04:07,120 Speaker 3: with Microsoft. So I think that's the key thing, is 92 00:04:07,120 --> 00:04:09,840 Speaker 3: that it's contracts that are coming through it's backlock. Look 93 00:04:09,880 --> 00:04:13,200 Speaker 3: at alphabet their backlock for cloud businesses. I think it 94 00:04:13,280 --> 00:04:16,359 Speaker 3: rows to one hundred and fifty five billion dollars in 95 00:04:16,520 --> 00:04:19,839 Speaker 3: cloud backlock. So again we're seeing it a clear view 96 00:04:19,880 --> 00:04:23,279 Speaker 3: of sustain demand into you know, the years ahead. And 97 00:04:23,320 --> 00:04:25,360 Speaker 3: I think that's really important is that they're doing this 98 00:04:25,400 --> 00:04:27,240 Speaker 3: to meet demand. It's not that they're building out on 99 00:04:27,279 --> 00:04:29,800 Speaker 3: the expectations. They're building it because they have the demand 100 00:04:29,880 --> 00:04:30,240 Speaker 3: right now. 101 00:04:31,600 --> 00:04:34,000 Speaker 1: Apple, I want to talk about in Tesla. Now, Tesla's 102 00:04:34,080 --> 00:04:38,400 Speaker 1: kind of the least in my mind, least AI focused 103 00:04:39,000 --> 00:04:41,560 Speaker 1: of the big TIIC stocks. Will that work against it? 104 00:04:41,600 --> 00:04:43,640 Speaker 1: Now you ask Elon Mustard, I'll say, no, you're wrong. 105 00:04:43,680 --> 00:04:46,040 Speaker 1: We're into robotics in AI, but most of the money 106 00:04:46,040 --> 00:04:47,599 Speaker 1: comes from selling cars at the end of the day. 107 00:04:48,000 --> 00:04:51,200 Speaker 1: Now they're not. They are behind the Microsoft's and the 108 00:04:51,240 --> 00:04:53,039 Speaker 1: Midds of the world in that area. Will that work 109 00:04:53,080 --> 00:04:54,120 Speaker 1: against them? 110 00:04:54,600 --> 00:04:57,040 Speaker 2: I'm not sure. I think that With with Tesla. 111 00:04:57,040 --> 00:04:59,320 Speaker 3: Obviously the sort of the real play moving into the 112 00:04:59,360 --> 00:05:02,440 Speaker 3: future is for self driving, that autonomous path and then 113 00:05:02,480 --> 00:05:06,760 Speaker 3: obviously robotaxi and obviously other just sort of general robots 114 00:05:06,880 --> 00:05:09,400 Speaker 3: in moving forward. And I think that obviously Musk is 115 00:05:09,640 --> 00:05:11,919 Speaker 3: really at the center of what is the AI boom. 116 00:05:11,920 --> 00:05:14,880 Speaker 3: He's obviously got XAI. He's got a big role to play, 117 00:05:15,240 --> 00:05:17,400 Speaker 3: you know in AI. Obviously, you know, a long long 118 00:05:17,400 --> 00:05:19,720 Speaker 3: time ago, had involvement with open Ai and had a 119 00:05:19,760 --> 00:05:21,760 Speaker 3: partnership with sam Alt when we know those who don't 120 00:05:21,800 --> 00:05:22,560 Speaker 3: get on very well now. 121 00:05:22,560 --> 00:05:24,920 Speaker 2: But ultimately I'm not sure it will hold them back. 122 00:05:24,960 --> 00:05:28,360 Speaker 3: I think the biggest problem with you know, tes is 123 00:05:28,360 --> 00:05:31,240 Speaker 3: that that sort of real growth engine, that firing, that 124 00:05:31,240 --> 00:05:32,960 Speaker 3: profit engine, if you like, he is not firing at 125 00:05:33,000 --> 00:05:35,000 Speaker 3: the moment, and that's sort of why they're struggling. But 126 00:05:35,000 --> 00:05:37,000 Speaker 3: I think that the autonomous side of it, the full 127 00:05:37,000 --> 00:05:40,200 Speaker 3: self driving, it's a huge opportunittunity for them moving forward, 128 00:05:40,240 --> 00:05:42,520 Speaker 3: and I think they'll continue to see AI play a 129 00:05:42,520 --> 00:05:44,680 Speaker 3: bigger role in the business, whether that's through you know, 130 00:05:44,720 --> 00:05:46,400 Speaker 3: that full self driving in the cars. 131 00:05:46,240 --> 00:05:47,560 Speaker 2: Or through those robotics. 132 00:05:47,600 --> 00:05:50,960 Speaker 3: It's it's sort of continuously each quarter, each month, you know, 133 00:05:51,040 --> 00:05:54,080 Speaker 3: building more into a technology company rather than an automotive company. 134 00:05:54,600 --> 00:05:56,000 Speaker 1: Is So the other one I wanted to talk about 135 00:05:56,080 --> 00:05:57,880 Speaker 1: was Apple because it seems to have a finger in 136 00:05:58,040 --> 00:06:00,240 Speaker 1: most pies. Though at the end of the day, it's 137 00:06:00,279 --> 00:06:02,040 Speaker 1: still making most of its money, isn't it just from 138 00:06:02,080 --> 00:06:02,719 Speaker 1: silling had we? 139 00:06:03,279 --> 00:06:05,760 Speaker 3: Yeah, absolutely, the one thing that worries me with Apple, 140 00:06:05,800 --> 00:06:07,400 Speaker 3: and you mentioned the sort of the mag seven in 141 00:06:07,480 --> 00:06:10,320 Speaker 3: terms of maybe AI and who'd be worried about Apple 142 00:06:10,360 --> 00:06:11,880 Speaker 3: would be the one that I'd be worried about when 143 00:06:11,920 --> 00:06:15,280 Speaker 3: it comes to you know, AI, we still really haven't 144 00:06:15,360 --> 00:06:18,360 Speaker 3: got anything concrete in terms of strategy where we're moving 145 00:06:18,400 --> 00:06:21,880 Speaker 3: forward with what's next for AI. We sort of they've 146 00:06:21,880 --> 00:06:23,800 Speaker 3: fallen behind, I think a little bit in terms of 147 00:06:23,920 --> 00:06:27,440 Speaker 3: integrating AI. Yes, we had Apple Intelligence. We had those 148 00:06:27,480 --> 00:06:30,120 Speaker 3: new iPhones coming out, which you know, the results that 149 00:06:30,120 --> 00:06:32,599 Speaker 3: they actually delivered were you know, they didn't set Wall 150 00:06:32,600 --> 00:06:34,839 Speaker 3: Street on fire, but its outlook offered sort of that 151 00:06:34,880 --> 00:06:37,560 Speaker 3: reassurance that you know, that flagship product. Did you mentioned 152 00:06:37,560 --> 00:06:40,080 Speaker 3: that hardware is still doing the heavy lifting, can still 153 00:06:40,120 --> 00:06:43,279 Speaker 3: deliver iPhone sales, set to sort of drive double digital 154 00:06:43,279 --> 00:06:46,359 Speaker 3: growth next quarter, you know, forecasting for what could be 155 00:06:46,360 --> 00:06:48,920 Speaker 3: the best holiday season they've ever had, so still delivering 156 00:06:48,960 --> 00:06:50,680 Speaker 3: on that front, but I think unless we hear more 157 00:06:50,720 --> 00:06:53,400 Speaker 3: from them on AI, Tim Cookers how his cards pretty 158 00:06:53,400 --> 00:06:55,520 Speaker 3: close to the chest with that. Obviously, China has been 159 00:06:55,560 --> 00:06:57,960 Speaker 3: a sort of persistent issue. They have tariffs that are 160 00:06:57,960 --> 00:07:00,680 Speaker 3: obviously a bit of an ongoing worry. I get. As 161 00:07:00,680 --> 00:07:02,800 Speaker 3: I said, they mentioned a little bit. They said that 162 00:07:02,839 --> 00:07:05,440 Speaker 3: we're going to increase investments in AI and product development. 163 00:07:05,720 --> 00:07:07,839 Speaker 3: But as I say, I think they've fallen behind, you know, 164 00:07:07,880 --> 00:07:10,880 Speaker 3: the AI race over the last twelve months, and for me, that. 165 00:07:10,800 --> 00:07:11,720 Speaker 2: Will be a bit of a worry. 166 00:07:11,760 --> 00:07:14,000 Speaker 3: But it does look like it's finding its rhythm again 167 00:07:14,080 --> 00:07:17,440 Speaker 3: from the iPhone seventeen launch that sort of reignited excitement. 168 00:07:18,240 --> 00:07:20,840 Speaker 3: So again, if they can deliver growth there, fantastic, But 169 00:07:20,880 --> 00:07:23,760 Speaker 3: I still think that that AI or lack of AI 170 00:07:23,840 --> 00:07:25,200 Speaker 3: strategy will hold them back. 171 00:07:25,080 --> 00:07:25,600 Speaker 2: A little bit. 172 00:07:26,280 --> 00:07:29,120 Speaker 1: Just Gilbert from me Toro. The sixty four dollar question, 173 00:07:29,280 --> 00:07:31,120 Speaker 1: is it sixty nine dollars sixty four dollar question? I 174 00:07:31,120 --> 00:07:33,800 Speaker 1: think it is. So which textocks do you like most? 175 00:07:35,080 --> 00:07:37,320 Speaker 3: Look, I think Alphabet was probably the name in the 176 00:07:37,400 --> 00:07:39,960 Speaker 3: quarter that you know, really impressed that Alphabet and Amazon 177 00:07:40,000 --> 00:07:42,960 Speaker 3: both really delivered. I think. You know, Alphabet was one 178 00:07:42,960 --> 00:07:45,440 Speaker 3: that sort of lagged behind the Mag seven piers for 179 00:07:45,800 --> 00:07:48,320 Speaker 3: a long time, but it's sort of results really showed 180 00:07:48,320 --> 00:07:51,840 Speaker 3: that it's hitting it stride again, momentum across every segment, 181 00:07:52,600 --> 00:07:55,320 Speaker 3: you know, delivering huge beats across cloud, you know, great 182 00:07:55,400 --> 00:07:58,640 Speaker 3: growth in advertising from YouTube through to such a lot 183 00:07:58,720 --> 00:08:00,240 Speaker 3: of question marks. And one of the reasons why I 184 00:08:00,240 --> 00:08:02,040 Speaker 3: had struggled against the rest of the Mag seven is 185 00:08:02,360 --> 00:08:05,520 Speaker 3: question marks over obviously search, you know, when we're now 186 00:08:05,640 --> 00:08:08,240 Speaker 3: using you know, things like chat, GPT and those sort 187 00:08:08,240 --> 00:08:11,120 Speaker 3: of AI bots more than ever, so question marks over 188 00:08:11,160 --> 00:08:13,880 Speaker 3: search revenue. But again double digit growth there over one 189 00:08:13,920 --> 00:08:17,280 Speaker 3: hundred billion in revenue, which was which was massive. Again, 190 00:08:17,360 --> 00:08:20,480 Speaker 3: capital expenditures rose, but you know, again spending in the 191 00:08:20,520 --> 00:08:23,120 Speaker 3: right places, and Wall Street really apported it. As I 192 00:08:23,120 --> 00:08:27,560 Speaker 3: say earlier, huge backlog on cloud deliverance, so again it's 193 00:08:27,600 --> 00:08:29,960 Speaker 3: got that sustained demand going in. So for me, it 194 00:08:30,040 --> 00:08:32,840 Speaker 3: was a home run sort of delivery from from Alphabet. 195 00:08:32,880 --> 00:08:36,160 Speaker 3: It's executing on all fronts in my view, and the 196 00:08:36,200 --> 00:08:38,640 Speaker 3: difference is as well, it's it's it's maybe not as 197 00:08:38,679 --> 00:08:41,160 Speaker 3: big as as you're in aws so Microsoft and Amazon, 198 00:08:41,760 --> 00:08:44,280 Speaker 3: but it's you know anything from Cloud to Gemini. It's 199 00:08:44,320 --> 00:08:46,560 Speaker 3: it's putting it in serious contention to sort of lead 200 00:08:46,559 --> 00:08:49,760 Speaker 3: the AI era. And then, as I say, Amazon AWS, 201 00:08:49,920 --> 00:08:51,920 Speaker 3: I think was one of the strongest performances of this 202 00:08:51,960 --> 00:08:55,800 Speaker 3: earning season, sort of really quieted any lingering doubts about 203 00:08:55,880 --> 00:08:58,320 Speaker 3: its ability to execute a scale qual a few question 204 00:08:58,400 --> 00:09:01,760 Speaker 3: marks over AWS growth, but for me, it reminds investors 205 00:09:01,760 --> 00:09:05,160 Speaker 3: exactly why Amazon is one of the world's best businesses. 206 00:09:05,200 --> 00:09:06,960 Speaker 3: And as I say, they have lagged a little bit. 207 00:09:07,000 --> 00:09:08,240 Speaker 3: So these are the two names that I think have 208 00:09:08,360 --> 00:09:11,880 Speaker 3: lagged behind mag seven piers recently. But again huge numbers, 209 00:09:12,120 --> 00:09:14,160 Speaker 3: you know, AWS delivering at a run rate about one 210 00:09:14,200 --> 00:09:16,640 Speaker 3: hundred and thirty billion dollars a year as well data 211 00:09:16,679 --> 00:09:19,240 Speaker 3: center capacity sort of continuing to build out. And one 212 00:09:19,240 --> 00:09:20,920 Speaker 3: of the key things that I think Wall Street applauded 213 00:09:21,000 --> 00:09:24,400 Speaker 3: as well was efficiency is coming from AI. So just 214 00:09:24,480 --> 00:09:27,600 Speaker 3: days before they reported, they confirmed that about fourteen thousand 215 00:09:27,640 --> 00:09:29,760 Speaker 3: job cuts we're going to be coming through. And Andy 216 00:09:29,840 --> 00:09:33,679 Speaker 3: Jasse's CEO has sort of said that its productivity improvements 217 00:09:33,720 --> 00:09:35,720 Speaker 3: driven by AI and that's going to sort of continue 218 00:09:35,720 --> 00:09:40,480 Speaker 3: to reshape how Amazon operates. Another way, we're seeing AI 219 00:09:40,960 --> 00:09:43,679 Speaker 3: help businesses help profits increase, and I think that's going 220 00:09:43,720 --> 00:09:45,840 Speaker 3: to be something that continues long into the future. But 221 00:09:45,840 --> 00:09:48,079 Speaker 3: as I say, Amazon and Alphabet were the two standout 222 00:09:48,160 --> 00:09:49,199 Speaker 3: names this quarter. 223 00:09:49,559 --> 00:09:51,280 Speaker 1: We are at a time but very quickly. In Vidia, 224 00:09:51,440 --> 00:09:54,160 Speaker 1: can it just keep going or not? Admitted phenomenal market. 225 00:09:53,960 --> 00:09:57,160 Speaker 3: Care five trillion. Yeah, absolutely massive, you know, completely dominates. 226 00:09:57,160 --> 00:09:59,000 Speaker 3: I think it can. I think it will deliver you 227 00:09:59,080 --> 00:10:01,880 Speaker 3: know results again called doordinant reports. But yeah, an absolute 228 00:10:01,880 --> 00:10:03,719 Speaker 3: beast of a company and I think you will continue. 229 00:10:03,960 --> 00:10:05,360 Speaker 1: Josh, thanks for talking to Fear and Greed. 230 00:10:05,480 --> 00:10:06,079 Speaker 2: Thanks so much. 231 00:10:06,120 --> 00:10:08,760 Speaker 1: All that was Josh Gilbert, market analyst at e Toro. 232 00:10:09,280 --> 00:10:11,680 Speaker 1: Just a reminder to please seek professional advice before making 233 00:10:11,720 --> 00:10:13,920 Speaker 1: investment decisions. If you've got something you'd like to know, 234 00:10:13,960 --> 00:10:17,160 Speaker 1: then sends through your question on LinkedIn, Instagram, Facebook, or 235 00:10:17,200 --> 00:10:19,559 Speaker 1: at Fearangreed dot com. Today you I'm Sean Almer, and 236 00:10:19,640 --> 00:10:22,320 Speaker 1: this is Fear and Greed at you and day