1 00:00:01,280 --> 00:00:03,520 Speaker 1: This episode is brought to you by P and C Bank. 2 00:00:03,920 --> 00:00:06,680 Speaker 1: A lot of people think podcasts about work are boring, 3 00:00:06,880 --> 00:00:10,719 Speaker 1: and sure they definitely can be, but understanding of professionals 4 00:00:10,800 --> 00:00:14,040 Speaker 1: routine shows us how they achieve their success little by little, 5 00:00:14,440 --> 00:00:18,079 Speaker 1: day after day. It's like banking with P and C Bank. 6 00:00:18,560 --> 00:00:21,360 Speaker 1: It might seem boring to save, plan and make calculated 7 00:00:21,400 --> 00:00:24,479 Speaker 1: decisions with your bank, but keeping your money boring is 8 00:00:24,520 --> 00:00:27,840 Speaker 1: what helps you live a more happily fulfilled life. P 9 00:00:27,960 --> 00:00:32,800 Speaker 1: and C Bank Brilliantly Boring since eighteen sixty five. Brilliantly 10 00:00:32,840 --> 00:00:35,479 Speaker 1: Boring since eighteen sixty five is a service mark of 11 00:00:35,520 --> 00:00:38,760 Speaker 1: the PNC Financial Service Group, Inc. P and C Bank 12 00:00:39,159 --> 00:00:41,360 Speaker 1: National Association Member FDIC. 13 00:00:43,520 --> 00:00:45,920 Speaker 2: Where do you see crypto going? Because obviously that's a 14 00:00:46,000 --> 00:00:48,160 Speaker 2: major staple in you in what you guys have built 15 00:00:48,159 --> 00:00:51,800 Speaker 2: with Robin Hood in twenty twenty five, let's say twenty 16 00:00:51,840 --> 00:00:55,840 Speaker 2: thirty five, right, Yeah, where do you see crypto going? 17 00:00:56,640 --> 00:00:58,080 Speaker 2: And Bitcoin specifically? 18 00:00:58,680 --> 00:01:03,480 Speaker 3: Yeah, I think the IU guest needle mover for crypto 19 00:01:03,760 --> 00:01:07,039 Speaker 3: is that it's going to help take the great things 20 00:01:07,040 --> 00:01:11,080 Speaker 3: we've built in the US and make them increasingly global 21 00:01:11,080 --> 00:01:16,080 Speaker 3: and available to investors all around the world. Some of 22 00:01:16,120 --> 00:01:19,440 Speaker 3: which haven't had access to these tools because I think 23 00:01:19,440 --> 00:01:21,319 Speaker 3: we kind of take it for granted here that we 24 00:01:21,360 --> 00:01:24,200 Speaker 3: have the US dollar, we have access to US stocks, 25 00:01:24,600 --> 00:01:28,120 Speaker 3: we have really high quality assets. When Robinhood gets our 26 00:01:28,160 --> 00:01:31,920 Speaker 3: private initiatives, we'll be able to distribute access to private companies, 27 00:01:32,000 --> 00:01:35,120 Speaker 3: so we have really good investments and ways to allocate 28 00:01:35,200 --> 00:01:39,640 Speaker 3: your capital. If you're in Venezuela, you don't have access 29 00:01:39,680 --> 00:01:42,560 Speaker 3: to those things. And that's actually why stable coins have 30 00:01:42,600 --> 00:01:46,319 Speaker 3: been so popular, because a lot of these people are 31 00:01:46,319 --> 00:01:50,640 Speaker 3: in countries that have unstable governments, unstable central banks. If 32 00:01:50,640 --> 00:01:52,760 Speaker 3: they do have central banks at all, they don't have 33 00:01:52,800 --> 00:01:58,240 Speaker 3: functional banking systems. Currencies are devaluing and they're just adding 34 00:01:58,360 --> 00:02:03,400 Speaker 3: zeros and zeros to them. Bills are worthless. So stable 35 00:02:03,400 --> 00:02:08,320 Speaker 3: coins really became popular as a way to store your 36 00:02:08,360 --> 00:02:12,440 Speaker 3: wealth and US dollars because you know, the crypto companies 37 00:02:12,440 --> 00:02:17,320 Speaker 3: actually went in and built local rails connecting to all 38 00:02:17,320 --> 00:02:20,519 Speaker 3: of these markets, so they've been plugged into the crypto system. 39 00:02:21,000 --> 00:02:26,040 Speaker 3: And I think crypto will evolve with tokenization to make 40 00:02:26,080 --> 00:02:30,840 Speaker 3: it easy to distribute US stocks and other investments overseas 41 00:02:31,200 --> 00:02:34,160 Speaker 3: as easily as stable coins have done it to dollars. 42 00:02:34,400 --> 00:02:36,880 Speaker 3: So I think that's the future. Crypto will sort of 43 00:02:36,919 --> 00:02:39,400 Speaker 3: like the technology will help stitch together all of the 44 00:02:39,440 --> 00:02:41,959 Speaker 3: markets that make it so that everyone is on a 45 00:02:42,080 --> 00:02:46,959 Speaker 3: level playing field outside the US as we are in here. 46 00:02:47,280 --> 00:02:49,760 Speaker 3: That's at least the future that we're working to build. 47 00:02:50,400 --> 00:02:52,840 Speaker 2: So you believe in oh ecosystem, not just bitcoin, not 48 00:02:52,880 --> 00:02:53,720 Speaker 2: a Bitcoin maxie. 49 00:02:54,160 --> 00:02:56,520 Speaker 3: I'm not a Bitcoin MAXI yeah, I mean I'm a 50 00:02:56,520 --> 00:03:01,559 Speaker 3: bitcoin fan, and I think bitcoin has an inherent advantage. 51 00:03:01,960 --> 00:03:03,000 Speaker 2: Price prediction. 52 00:03:04,160 --> 00:03:10,079 Speaker 3: Oh, price predictions are tough. I would tell you, I'm 53 00:03:10,120 --> 00:03:14,840 Speaker 3: pretty I'm pretty bull And if you told me at 54 00:03:14,840 --> 00:03:16,480 Speaker 3: the beginning of the year that there would be like 55 00:03:16,560 --> 00:03:20,120 Speaker 3: a national Bitcoin Strategic Reserve and all of these dats 56 00:03:20,160 --> 00:03:23,280 Speaker 3: and we would still be sitting here basically flat for 57 00:03:23,320 --> 00:03:26,519 Speaker 3: the year, maybe a little bit up, I'd be surprised. 58 00:03:27,960 --> 00:03:31,079 Speaker 3: It's got a lot going for it. It's a singular asset, right, 59 00:03:31,480 --> 00:03:34,240 Speaker 3: It'll always be the first, So I think I think 60 00:03:34,240 --> 00:03:36,560 Speaker 3: it's got a bit of a religion around it with 61 00:03:36,600 --> 00:03:40,400 Speaker 3: the Bitcoin maxis, and and that's hard to fight relative 62 00:03:40,440 --> 00:03:41,240 Speaker 3: to the other coins. 63 00:03:41,520 --> 00:03:45,280 Speaker 1: Yeah, I think obviously, if you look at the correlation 64 00:03:45,360 --> 00:03:47,200 Speaker 1: between the rise of bitcoin getting up to one hundred 65 00:03:47,200 --> 00:03:50,600 Speaker 1: and twenty six thousand. You watch your stock also get 66 00:03:50,640 --> 00:03:53,240 Speaker 1: towards all time high around the same time. People feel 67 00:03:53,280 --> 00:03:55,640 Speaker 1: like there's a correlation there, But there's also a piece 68 00:03:55,800 --> 00:03:58,360 Speaker 1: that has helped the stock, and that's the predictive markets. Yeah, 69 00:03:58,400 --> 00:04:00,680 Speaker 1: so not only could you invest in coin, but you 70 00:04:00,720 --> 00:04:03,400 Speaker 1: could say, hey, I see it getting to one hundred 71 00:04:03,440 --> 00:04:07,560 Speaker 1: thousand by December thirty. First, talk about the role that 72 00:04:07,600 --> 00:04:09,720 Speaker 1: predictive markets is played, because we talked about it like 73 00:04:09,760 --> 00:04:11,280 Speaker 1: you were thinking about it. We were talking about the 74 00:04:11,280 --> 00:04:13,240 Speaker 1: probably market the last time we met in Miami, and 75 00:04:13,280 --> 00:04:16,440 Speaker 1: now predictive markets are a thing, a real thing that 76 00:04:16,880 --> 00:04:19,520 Speaker 1: I feel like you guys have adopted right away. Some 77 00:04:19,560 --> 00:04:22,479 Speaker 1: of the other people in the space, haven't. Ye're looking 78 00:04:22,520 --> 00:04:24,599 Speaker 1: at you guys like, this is a leader. Do we 79 00:04:24,600 --> 00:04:26,760 Speaker 1: need to add this? This is going to be disruptive. 80 00:04:27,240 --> 00:04:30,600 Speaker 3: Yeah. Absolutely, And it's kind of a fun position for 81 00:04:31,279 --> 00:04:33,560 Speaker 3: me to be in because typically when you look at 82 00:04:33,560 --> 00:04:35,800 Speaker 3: crypto and all the other products we've added, I mean, 83 00:04:35,839 --> 00:04:40,239 Speaker 3: stock's probably the best example. We were like years after 84 00:04:40,279 --> 00:04:45,239 Speaker 3: the leaders, right, I mean, stocks went electronic in the eighties. 85 00:04:45,560 --> 00:04:49,320 Speaker 3: Basically you trade got started. The idea was to trade 86 00:04:49,320 --> 00:04:54,680 Speaker 3: stocks on the Apple Macintosh. Apple Macintosh had come out, 87 00:04:54,720 --> 00:04:58,200 Speaker 3: and these two guys got together in Palo Alto, California, 88 00:04:58,240 --> 00:04:59,960 Speaker 3: and we're like, what if we use the Apple macintalk 89 00:05:00,160 --> 00:05:02,760 Speaker 3: to trade stocks? And I think that was in nineteen 90 00:05:02,800 --> 00:05:06,160 Speaker 3: eighty two, which is pretty crazy, So we were multiple 91 00:05:06,200 --> 00:05:10,799 Speaker 3: decades late to the game for electronic trading in stocks. 92 00:05:11,080 --> 00:05:13,960 Speaker 3: Crypto started in two thousand and nine. We added crypto 93 00:05:14,080 --> 00:05:18,360 Speaker 3: to the platform in twenty seventeen. Actually, yeah, twenty eighteen 94 00:05:18,600 --> 00:05:21,800 Speaker 3: was when you could start trading it. So typically we've 95 00:05:21,800 --> 00:05:26,320 Speaker 3: had an approach where we come in after there's like 96 00:05:27,000 --> 00:05:29,719 Speaker 3: clarity that it's a real thing that people want, and 97 00:05:29,760 --> 00:05:33,720 Speaker 3: then we just bring our scale, lower costs, and you know, 98 00:05:34,080 --> 00:05:36,919 Speaker 3: better UX to the product. So prediction Markets is a 99 00:05:36,920 --> 00:05:38,479 Speaker 3: new one for us because we were kind of out 100 00:05:38,520 --> 00:05:40,599 Speaker 3: in front and then it's sort of like how do 101 00:05:40,600 --> 00:05:43,960 Speaker 3: we maintain our lead and market positioning and you know, 102 00:05:44,000 --> 00:05:46,440 Speaker 3: when we have a bunch of people coming after us. 103 00:05:46,960 --> 00:05:49,520 Speaker 3: It has surprised me that, you know, you have the 104 00:05:49,560 --> 00:05:54,720 Speaker 3: exchanges like Polly and Calshi, who have obviously been there 105 00:05:54,760 --> 00:05:58,719 Speaker 3: from the beginning, but like no other brokers has gotten 106 00:05:58,720 --> 00:06:03,560 Speaker 3: into it yet, no other broker of significant consequence, And 107 00:06:03,760 --> 00:06:05,880 Speaker 3: I think they're coming like they're seeing what we're doing 108 00:06:06,720 --> 00:06:10,159 Speaker 3: and they see that it's resonating with traders and just 109 00:06:10,200 --> 00:06:15,760 Speaker 3: with mass market retail. But yeah, I think we're also 110 00:06:15,839 --> 00:06:19,280 Speaker 3: moving and we're adding new innovations. I think the event 111 00:06:19,320 --> 00:06:22,479 Speaker 3: that we're gonna we're gonna unveil on the sixteenth is 112 00:06:22,480 --> 00:06:24,080 Speaker 3: is going to show some new things to people that 113 00:06:24,320 --> 00:06:28,320 Speaker 3: they haven't seen before. And it's the fastest growing business 114 00:06:28,320 --> 00:06:31,720 Speaker 3: that Robin Hood's had. You know, in the past year, 115 00:06:32,160 --> 00:06:36,200 Speaker 3: we've gone from one single contract, which is the presidential election, 116 00:06:36,800 --> 00:06:42,120 Speaker 3: to over fifteen hundred. We've gone from it's basically the 117 00:06:42,200 --> 00:06:48,800 Speaker 3: volume is doubled quarter over quarter. Q three had I 118 00:06:48,839 --> 00:06:52,720 Speaker 3: want to say, two point two million contracts, but then 119 00:06:52,800 --> 00:06:55,680 Speaker 3: October had two point five million, so more than Q 120 00:06:55,800 --> 00:06:59,000 Speaker 3: three put together. And then you had November. We announced 121 00:06:59,040 --> 00:07:04,039 Speaker 3: some November numbers, three billion contracts traded in November, which 122 00:07:04,080 --> 00:07:08,159 Speaker 3: is yeah, it's a thirty million revenue in a month. 123 00:07:08,400 --> 00:07:11,480 Speaker 3: So so three hundred and sixty million run rate if 124 00:07:11,520 --> 00:07:16,160 Speaker 3: you take the November numbers, which is a big ramp, 125 00:07:16,520 --> 00:07:21,360 Speaker 3: and I think you know it's it's it's just been 126 00:07:21,400 --> 00:07:26,000 Speaker 3: really resonating with the traders and sports betting sports a 127 00:07:26,000 --> 00:07:28,560 Speaker 3: big part of it, but the big part of what 128 00:07:28,600 --> 00:07:33,160 Speaker 3: we're doing is also diversifying the contracts. So it used 129 00:07:33,200 --> 00:07:37,000 Speaker 3: to be just elections and elections I think to me 130 00:07:37,160 --> 00:07:40,240 Speaker 3: is probably the most interesting. Then we added sports and 131 00:07:40,280 --> 00:07:42,200 Speaker 3: we've added a ton of leagues. 132 00:07:42,200 --> 00:07:45,880 Speaker 2: There is it sports betting or like, what is it exactly? 133 00:07:47,120 --> 00:07:50,480 Speaker 3: I liked most people I took to call it wagering. 134 00:07:51,360 --> 00:07:53,960 Speaker 2: Wagering, Okay, I like the language there. 135 00:07:55,920 --> 00:08:00,160 Speaker 3: I think it's different in all seriousness to sports bet 136 00:08:00,240 --> 00:08:03,560 Speaker 3: and a lot of people ask about, you know, how 137 00:08:03,600 --> 00:08:07,360 Speaker 3: is it different from a regulatory standpoint, from a product standpoint. 138 00:08:07,400 --> 00:08:10,440 Speaker 3: I think it's significantly different. And I haven't really done 139 00:08:10,520 --> 00:08:14,440 Speaker 3: much sports betting, But what people love about it is 140 00:08:14,640 --> 00:08:19,440 Speaker 3: you can actually trade these contracts during the game, so 141 00:08:20,080 --> 00:08:25,160 Speaker 3: you know, the because it's a two sided market, the 142 00:08:25,480 --> 00:08:28,480 Speaker 3: exchanges run the contracts while the games are happening, and 143 00:08:28,520 --> 00:08:32,040 Speaker 3: that's when the information's coming in. I mean, for example, 144 00:08:32,120 --> 00:08:37,960 Speaker 3: you can see how each play changes, changes the odds 145 00:08:38,040 --> 00:08:40,160 Speaker 3: and the outcomes, and you can go in and out 146 00:08:40,160 --> 00:08:43,359 Speaker 3: of the positions and a lot of the market participants 147 00:08:43,400 --> 00:08:46,040 Speaker 3: that are coming in both from the market maker side 148 00:08:46,120 --> 00:08:48,640 Speaker 3: and sort of like on the trading side, are the 149 00:08:48,679 --> 00:08:52,720 Speaker 3: same market participants that have been trading futures and equities. 150 00:08:53,120 --> 00:08:56,880 Speaker 3: So I think it's disruptive to sports betting, but I 151 00:08:56,920 --> 00:09:01,880 Speaker 3: see it as a fundamentally different animal and a better product, 152 00:09:02,200 --> 00:09:04,680 Speaker 3: which is why I think all the traditional sports betting 153 00:09:06,960 --> 00:09:09,960 Speaker 3: sites are so nervous about it, and they're just sort 154 00:09:09,960 --> 00:09:13,440 Speaker 3: of like, uh, yeah, they see the writing on the wall, 155 00:09:13,520 --> 00:09:16,360 Speaker 3: and they're they're working as hard as possible to figure 156 00:09:16,400 --> 00:09:18,720 Speaker 3: out their prediction market strategy, and some of them are 157 00:09:18,760 --> 00:09:21,640 Speaker 3: outright pivoting to prediction markets completely. 158 00:09:22,200 --> 00:09:24,000 Speaker 1: As soon as you said the November's numbers went up, 159 00:09:24,040 --> 00:09:27,240 Speaker 1: I automatically thought NFL and its height constable in its height, 160 00:09:27,280 --> 00:09:29,360 Speaker 1: but it's not just sports and NBA. NBA is and 161 00:09:29,440 --> 00:09:32,400 Speaker 1: it is kicking off World Series is just about the end. 162 00:09:32,240 --> 00:09:34,880 Speaker 3: Well, and we have I think we mentioned this earlier 163 00:09:35,360 --> 00:09:38,520 Speaker 3: AI model contracts, which you know is a space I 164 00:09:38,520 --> 00:09:41,560 Speaker 3: feel like I have some understanding of, and you have 165 00:09:41,679 --> 00:09:48,080 Speaker 3: traders that are specializing in very specific areas, and you know, 166 00:09:48,200 --> 00:09:52,600 Speaker 3: like four months ago, it was I think thirty five 167 00:09:52,679 --> 00:09:56,560 Speaker 3: percent chance that Gemini would have the best model by 168 00:09:56,600 --> 00:09:59,960 Speaker 3: the end of the year. Chad Gpt started the year ahead, right, 169 00:10:00,679 --> 00:10:05,240 Speaker 3: and you know, if you really for folks that really 170 00:10:05,320 --> 00:10:08,360 Speaker 3: kind of understood what was happening in the AI world, 171 00:10:08,760 --> 00:10:11,720 Speaker 3: it seemed like conventional wisdom was wrong. Right, you have Google, 172 00:10:11,880 --> 00:10:16,559 Speaker 3: who's on a steep trajectory, and they have all the data, 173 00:10:16,720 --> 00:10:19,560 Speaker 3: all the compute, they're highly motivated. I think now we 174 00:10:19,600 --> 00:10:22,120 Speaker 3: look at the Gemini release and it's like, well, it's 175 00:10:22,160 --> 00:10:24,679 Speaker 3: so obvious they had all these tools. But back then, 176 00:10:24,760 --> 00:10:28,600 Speaker 3: I think conventional wisdom was wrong. So I think for 177 00:10:28,679 --> 00:10:32,040 Speaker 3: a trader, it's going to open up more possibilities, and 178 00:10:32,360 --> 00:10:34,920 Speaker 3: you know, you can specialize in things because there's probably 179 00:10:34,960 --> 00:10:39,200 Speaker 3: at least one topic that each person understands better than 180 00:10:39,600 --> 00:10:41,800 Speaker 3: the average conventional wisdom. So I think it'll pull in 181 00:10:41,840 --> 00:10:44,720 Speaker 3: more traders. But I think the most interesting thing for 182 00:10:44,800 --> 00:10:47,040 Speaker 3: me is that it creates a new source of information. 183 00:10:47,080 --> 00:10:51,680 Speaker 3: It's almost like the new media or new news, or 184 00:10:51,720 --> 00:10:55,120 Speaker 3: instead of watching talking heads pontificating about what's going to happen, 185 00:10:55,160 --> 00:10:57,520 Speaker 3: you can just look at the market and then you'll 186 00:10:57,600 --> 00:11:02,520 Speaker 3: learn a little bit about what's likely or what's even 187 00:11:02,559 --> 00:11:03,600 Speaker 3: true in this world. 188 00:11:03,800 --> 00:11:06,240 Speaker 1: Earners, what's up? 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