YouTube2Text

Roundhill Investment Chief: 5 stocks WIN the LATE-STAGE AI CRASH — Transcript

by Phil Rosen · 6,726 words · 1,101 segments · language en · Watch on YouTube

Full transcript

  1. 0:00Before we get to the show, YouTube is
  2. 0:02telling us that 70% of you are not
  3. 0:04subscribed to the channel. Please double
  4. 0:06check that you are subscribed so that we
  5. 0:08can keep booking great guests,
  6. 0:09publishing good content, and working
  7. 0:11hard just for you. Now let's get to the
  8. 0:13episode.
  9. 0:15Okay, Drew, big picture here. How would
  10. 0:17you describe where we are today in the
  11. 0:20market?
  12. 0:21>> Okay, late cycle. Let's start with that.
  13. 0:24So what does that mean? Nothing is easy.
  14. 0:28And nothing's cheap. So this is
  15. 0:31I'm coming in hot here, but
  16. 0:34at the end of the day, we are in a bull
  17. 0:36market. It's not a new one. It's an
  18. 0:38older one. And old ones get a little bit
  19. 0:41cranky at times, kind of like dads after
  20. 0:44Halloween that haven't slept a whole lot
  21. 0:46with hyped up, sugared up kids.
  22. 0:49But when you're in these older bull
  23. 0:51markets, nothing's cheap.
  24. 0:52So when we start thinking like, oh, the
  25. 0:54market might be getting cheaper at this
  26. 0:55point, it's not.
  27. 0:57So when I look at the market, when I
  28. 0:58think about where we are, when I think
  29. 1:00about a real late cycle environment, it
  30. 1:02means expectations are really high.
  31. 1:06And now it's funny because I sound like
  32. 1:08a bear, but you're going to probably
  33. 1:10hear me say this a few times on
  34. 1:13throughout our chat today, Phil. It's
  35. 1:14going to be
  36. 1:16if you want to be a good bull, you got
  37. 1:17to understand the bear. And I think the
  38. 1:19starting point for any bear is this is
  39. 1:21not
  40. 1:22early cycle. It's late cycle and
  41. 1:24nothing's cheap.
  42. 1:26>> Okay, so I would
  43. 1:27counter that because a lot of the most
  44. 1:31bullish investors out there are saying,
  45. 1:33hey, third inning of the AI cycle right
  46. 1:35now or the infrastructure build out.
  47. 1:37What makes you so sure that we are late
  48. 1:40cycle as opposed to
  49. 1:42third inning of a nine inning game?
  50. 1:44>> So late cycle market wise, this is what
  51. 1:48I think's fun. We could be, and I think
  52. 1:51we are, to be fair, and this is why I'm
  53. 1:52bullish and I'm really constructive on
  54. 1:54the build out here in the fundamentals.
  55. 1:56I don't think it's late cycle for where
  56. 1:59fundamentals
  57. 2:00But markets don't work backwards.
  58. 2:03That's the one thing I I I learned after
  59. 2:05about 10 years at City and getting beat
  60. 2:08up by a whole bunch of big institutional
  61. 2:10investors. I don't care what happened
  62. 2:12yesterday. I don't even care what might
  63. 2:14happen tomorrow. We're starting to price
  64. 2:17things not even on this quarter,
  65. 2:19maybe not even next year because people
  66. 2:21can really see how big this build out
  67. 2:23is. I think people are really
  68. 2:24comfortable on on 2027 numbers at this
  69. 2:27point.
  70. 2:28Markets discount future cash flows and I
  71. 2:32think people are looking beyond 26 and
  72. 2:3427 right now. So it's how much growth
  73. 2:37are we going to get? The further the
  74. 2:39market looks out, the further along the
  75. 2:43bull market is and more late cycle it
  76. 2:46feels, even though fundamentals might
  77. 2:47feel earlier.
  78. 2:49>> Okay, so I I have a question about
  79. 2:51something you just said. Stocks are not
  80. 2:54getting cheaper is what you said.
  81. 2:56>> Yeah.
  82. 2:57>> However, if you look on a PE chart,
  83. 2:59which actually you you sent one over, um
  84. 3:02it does look like they're getting
  85. 3:03cheaper. Like valuations have
  86. 3:05compressed, let's say, since the start
  87. 3:07of this year.
  88. 3:08What do you mean when you say stocks are
  89. 3:10not getting cheaper?
  90. 3:11>> Yeah, [clears throat] so actually you're
  91. 3:12dead right and I see it too. Markets up,
  92. 3:15PEs are down. E's up more than P.
  93. 3:19Great, that's good. That's not that's
  94. 3:20not a bad thing, but
  95. 3:24interest rates are higher.
  96. 3:26That means growth has to deliver more.
  97. 3:28Stock prices are up a lot from where
  98. 3:30they are and price, let's be real, price
  99. 3:33is the only thing we really know, how
  100. 3:35much I'm going to pay for this stock
  101. 3:37today that I want to buy. It's the only
  102. 3:38thing I know.
  103. 3:39Everything else can get adjusted and
  104. 3:41changed and it's dynamic and moves.
  105. 3:44Prices are higher, so expectations are
  106. 3:46higher. And then when you really think
  107. 3:48about where the value comes from a
  108. 3:50stock,
  109. 3:52it's not in the quarter,
  110. 3:54it's not in the year,
  111. 3:56it's not in the first year,
  112. 3:57not in the second, third, or fourth
  113. 3:59year. Most value of a stock comes from
  114. 4:02more than five or ten years out.
  115. 4:04So, when you start to look at what price
  116. 4:07means and how much I expect to earn on
  117. 4:11stocks. Sorry about the mic, fellas.
  118. 4:13It's
  119. 4:15the value doesn't come from today. It
  120. 4:17comes from the future. So, this is why
  121. 4:20you know, it's funny for somebody my
  122. 4:22age, I probably do more DCFs, discounted
  123. 4:24cash flows than anyone's ever talked
  124. 4:26about.
  125. 4:27When I try to figure out how much growth
  126. 4:29is priced in,
  127. 4:31how much growth do I need from today to
  128. 4:33justify the price?
  129. 4:35And I look at the market from that lens,
  130. 4:38that growth expectation is still near
  131. 4:40ten-year highs.
  132. 4:41It has come down a little bit this year
  133. 4:44and earnings the starting point for
  134. 4:46earnings keeps going higher, but that
  135. 4:48level is still much higher. And if you
  136. 4:50were to really kind of tease this out,
  137. 4:52where growth expectations are, the
  138. 4:54market's not
  139. 4:55trading at 20 times forward. It's
  140. 4:57probably reacting and feels more like
  141. 5:00it's trading at 24 times earnings.
  142. 5:02So, it's yeah, PE comes down naturally,
  143. 5:05but growth expectations are still high.
  144. 5:06That's why you see volatility even when
  145. 5:08companies beat earnings right now.
  146. 5:11>> So, do you think it's fair to say then
  147. 5:13even if asset prices are
  148. 5:15I would say not stratospheric because
  149. 5:18valuations have come down,
  150. 5:20there is a something of a bubble in
  151. 5:22expectations. Is that the right way to
  152. 5:23think about it?
  153. 5:24>> Not bubble, they're high.
  154. 5:26They might be at ten-year highs. They're
  155. 5:28not at all-time highs.
  156. 5:30And look, like if you did this on the
  157. 5:31Nasdaq during the tech bubble, it would
  158. 5:33be you know, you got a compound earnings
  159. 5:35probably ten, 15, 20% into infinity.
  160. 5:37That's a little bit nuts. But we're
  161. 5:39talking about a growth expectation now
  162. 5:41that's about five or 6% and when you
  163. 5:43think about high growth companies,
  164. 5:45it's attainable. So, back to
  165. 5:48back to like my I
  166. 5:50I almost want to say just
  167. 5:51my training and how I think about stuff.
  168. 5:55Again, to be a good bull, you have to
  169. 5:57know the bear.
  170. 5:58Growth expectations are high, but I
  171. 6:01think they're attainable and the
  172. 6:03revisions and the expectations for
  173. 6:05growth going forward,
  174. 6:07they keep moving up and up. So that
  175. 6:08keeps me bullish even though I
  176. 6:10understand where the bears are coming
  177. 6:11from.
  178. 6:13>> This episode is sponsored by Bloomberg.
  179. 6:15Equity indices built on opinions, that's
  180. 6:17the old way. The new way [music] is
  181. 6:19Bloomberg Equity Indexes built using
  182. 6:21transparent, rules-based methodologies
  183. 6:24that are more responsive to changes in
  184. 6:26the markets powered by 450 billion daily
  185. 6:29data points and backed by [music]
  186. 6:30research from hundreds of global experts
  187. 6:33delivering benchmarks driven by the
  188. 6:34markets, not opinions. Bloomberg [music]
  189. 6:37Equity Indexes, get evolved benchmarks
  190. 6:39for today's equity markets. Now let's
  191. 6:41get back to this episode.
  192. 6:44Okay, so just so I can understand this
  193. 6:47myself, you are bullish and constructive
  194. 6:50on where the market is even though we're
  195. 6:53late cycle and even though you
  196. 6:56are trying to make the bear case here,
  197. 6:58that's not your base case. Is that
  198. 7:00right?
  199. 7:00>> No, I it's I want to know what bears are
  200. 7:03saying.
  201. 7:04And I it's funny because everyone likes
  202. 7:07kind of posting the scoreboard. Oh, this
  203. 7:09guy was bearish. This girl was bearish.
  204. 7:12And they were wrong. Look how silly they
  205. 7:13are. You need that bear.
  206. 7:17You need the bear in the market because
  207. 7:19guess what? If I'm bullish and I already
  208. 7:21hold the stock, I don't make it go up.
  209. 7:24Holding a stock and liking a stock
  210. 7:25doesn't make it go up. What makes it go
  211. 7:27up is finding a new buyer of it.
  212. 7:30So a really good argument that can
  213. 7:32convince someone that's on the sidelines
  214. 7:34or negative on a stock to change their
  215. 7:36opinion is what makes it go up.
  216. 7:40So when I say you need bears in the
  217. 7:42market, well, who's going to be the next
  218. 7:43buyer? You got to find someone that
  219. 7:45doesn't own it already.
  220. 7:47>> That is a great distinction there. Um
  221. 7:49Drew, you have this chart that shows how
  222. 7:52the AAII investor sentiment survey
  223. 7:54[snorts] is pretty bearish right now. At
  224. 7:57the same time, we have stock allocations
  225. 7:59near all-time highs.
  226. 8:01What is going on here?
  227. 8:02>> Oh man, this is
  228. 8:04we're just bringing up all the stuff
  229. 8:05that's super hard to measure. Number
  230. 8:07one, hard to measure what's priced in.
  231. 8:09And number two, really hard to measure
  232. 8:11sentiment.
  233. 8:12So people always do these surveys.
  234. 8:15Phil, how do you feel today?
  235. 8:17If you had eight hours of sleep,
  236. 8:19unlike me, you probably feel better.
  237. 8:22If you had a bad night and someone calls
  238. 8:24you up, well, how do you feel? Or you
  239. 8:25lost money in the stock market
  240. 8:26yesterday, I probably feel bad.
  241. 8:29But how you might behave in your
  242. 8:30portfolio is completely different.
  243. 8:34Just because I'm cranky and didn't sleep
  244. 8:36and didn't have enough coffee doesn't
  245. 8:37necessarily mean I'm going to go sell
  246. 8:39all of my stocks in my portfolio.
  247. 8:41So this is where I like to come in and
  248. 8:44talk about sentiment because I want to
  249. 8:45know what's priced in and I want to know
  250. 8:48how
  251. 8:49investors not feel about the market, but
  252. 8:52what they're doing. Where is sentiment?
  253. 8:55So the AAII survey, they call people
  254. 8:59every week. How do you feel about
  255. 9:01stocks? Are you bullish, neutral, or
  256. 9:03bearish? That has a lot of volatility
  257. 9:05because we're humans.
  258. 9:07At the end of the day, stock prices are
  259. 9:09just an amalgamation of what all of us
  260. 9:11crazy, fun, unique humans are doing.
  261. 9:15But
  262. 9:16how they feel
  263. 9:18is different than the real, what they're
  264. 9:21actually doing.
  265. 9:23And that same company that does a
  266. 9:24sentiment survey that everyone watches
  267. 9:27every week because it can make a
  268. 9:28headline, up or down, lots of
  269. 9:29volatility,
  270. 9:31what's not changing is people are still
  271. 9:33holding stocks. That is still near an
  272. 9:36all-time high.
  273. 9:37So when you break it down, the real is
  274. 9:40investors are still bullish.
  275. 9:42The feel, as we got into the beginning
  276. 9:45of this volatility, is uh I don't feel
  277. 9:47good. So when you put it together, the
  278. 9:50real versus feel is disconnected.
  279. 9:52>> Do you think that's enough evidence then
  280. 9:54that we can just ignore sentiment
  281. 9:56surveys?
  282. 9:57>> To an extent, yeah. I think there's just
  283. 9:59a better way to do them.
  284. 10:01So back to
  285. 10:02price.
  286. 10:04Price matters. Price tells you what
  287. 10:06people are really doing.
  288. 10:08And there's a lot of price data that you
  289. 10:10can get out there every day.
  290. 10:12And the the price data that we started
  291. 10:15digging into at Roundhill was the
  292. 10:17options data.
  293. 10:18Cuz when people are again, not just
  294. 10:21individuals trading options, but big
  295. 10:23institutions do it all the time, again,
  296. 10:25they're transacting at a price. They can
  297. 10:27see what they're doing. You know what
  298. 10:29they're really doing, the real price
  299. 10:31that they're paying.
  300. 10:33Where do they expect volatility to be?
  301. 10:35You can look at the VIX.
  302. 10:37You can look at term structure, which is
  303. 10:39basically is the VIX higher for the next
  304. 10:429 days or the next 3 months? You can
  305. 10:44look at how much they're paying for big
  306. 10:47moves way down and way up. That's skew.
  307. 10:51You can dig into how much they expect
  308. 10:54the VIX to move, vol of vol. We take all
  309. 10:56these these price indicators from
  310. 10:58options and we put it together in our
  311. 11:00sentiment model.
  312. 11:01And that's how we can figure out for
  313. 11:03real, the real what people are doing
  314. 11:07when it comes to markets. So sentiment
  315. 11:10surveys, they're interesting to me to
  316. 11:13look at, but they're not interesting to
  317. 11:16me to actually measure sentiment.
  318. 11:19>> Hm. I I think that's fair. I always take
  319. 11:22them pretty skeptically, I'd say,
  320. 11:24whether that's investor sentiment or
  321. 11:26even uh consumer surveys about how
  322. 11:29people feel about the economy. Those
  323. 11:31always seem uh politically skewed and
  324. 11:34the sampling size and the sampling bias,
  325. 11:36there's always something going on with
  326. 11:38those consumer surveys.
  327. 11:41Drew, there's another chart I want to
  328. 11:42ask you about here. You have S&P 500
  329. 11:45rolling 21-day pairwise correlation over
  330. 11:47the last 5 years.
  331. 11:49My read on this from, let's say, an
  332. 11:51amateur's perspective,
  333. 11:53it looks like it's right near 5-year
  334. 11:54lows. Uh help me understand what that
  335. 11:56actually means. Like why show this chart
  336. 11:58here?
  337. 11:59>> Yeah, so this is really interesting
  338. 12:01because
  339. 12:03my mentor
  340. 12:06for years and years
  341. 12:07kept beating me up on this one point.
  342. 12:10It's not a stock market, Drew. It's not
  343. 12:12a stock
  344. 12:13It's a market of stocks. And I
  345. 12:15Okay, sure. Let me just figure out how
  346. 12:17to do my job today. And then I I really
  347. 12:19look at it. And why is it a market of
  348. 12:21stocks? Because we think of the stock
  349. 12:23market as risk. Oh, that's you have
  350. 12:26stock risk. You have equity risk in your
  351. 12:27portfolio. No, you have
  352. 12:29if you buy the S&P 500, you have 500-ish
  353. 12:32stocks that all have their own
  354. 12:34individual risk. What correlation tells
  355. 12:36us
  356. 12:38and this is pairwise or like internal
  357. 12:40correlation, the chart looks at industry
  358. 12:42groups. People do this at a single stock
  359. 12:44level. You can do it a whole bunch of
  360. 12:45different ways. But all these different
  361. 12:47collections of stocks, are they moving
  362. 12:49similar to one another or are they
  363. 12:51moving different?
  364. 12:52And that matters a lot
  365. 12:55because that tells you how much
  366. 12:56diversification you actually have in
  367. 12:58your allocation.
  368. 13:00If I buy the S&P 500 like today, now,
  369. 13:05it is not as volatile as it feels
  370. 13:08because
  371. 13:10when AI drops, like we felt lately,
  372. 13:13you're starting to see energy and some
  373. 13:14other things pop.
  374. 13:16So you have this this kind of divergence
  375. 13:19in how things move directionally. That's
  376. 13:20why correlation, how things relate
  377. 13:22directionally, how they move
  378. 13:23directionally versus one another is
  379. 13:25different. So that's why it might feel
  380. 13:28like we are in this like gross, terrible
  381. 13:30bear market, single stock volatilities
  382. 13:33way up,
  383. 13:34but the VIX is still low and the S&P
  384. 13:36isn't even in a correction at this
  385. 13:38point.
  386. 13:39You're kind of sitting there going,
  387. 13:40well, why hasn't that happened?
  388. 13:42Well, because things are all all moving
  389. 13:44independently of each other, more so
  390. 13:45than usual.
  391. 13:47And I don't think that's actually
  392. 13:48inefficient.
  393. 13:50>> Hm. What what does that mean?
  394. 13:52>> You it's funny talking to macro like
  395. 13:55let's think about people that think
  396. 13:56super high level. And it's funny because
  397. 13:57I'm a strategist and people expect me
  398. 14:00like, oh, he's going to talk about the
  399. 14:02market, all all the these big broad
  400. 14:04things.
  401. 14:05No, it's again, back to it's a market of
  402. 14:06stocks.
  403. 14:08Instead of trading the S&P 500 when I
  404. 14:10see a risk pop up,
  405. 14:12I'm going to go trade the stocks that
  406. 14:14matter to that risk.
  407. 14:16So if oil spikes
  408. 14:18and inflation' really sticky,
  409. 14:21do I trade AI stocks? No, because it it
  410. 14:24really doesn't matter. It's early cycle
  411. 14:27and AI adoption. That's not going to
  412. 14:29change the fundamentals.
  413. 14:30But should I sell my consumer staples
  414. 14:32that can't move price and all their
  415. 14:34input prices went up? The market does
  416. 14:36that. Should I trade oil stocks higher?
  417. 14:39Should I trade the refiners? Should I
  418. 14:41trade something else? Like the market is
  419. 14:43being very I I call it micro efficient.
  420. 14:45They're efficient at trading stocks
  421. 14:48based on changing risks. People are not
  422. 14:50just trading the market based on some
  423. 14:52risks they see.
  424. 14:53>> So is one way to think about this then,
  425. 14:56let's say as a individual investor,
  426. 14:58increasingly this is a stock picker's
  427. 15:00market rather than, hey, buy and hold
  428. 15:02the index?
  429. 15:03>> I think this means find different types
  430. 15:07of risk. The why the the reason I I say
  431. 15:09it's not necessarily a stock picker's
  432. 15:10market
  433. 15:12and it's funny because a lot of people
  434. 15:13would say, oh, when when stocks move
  435. 15:14independently of one another and
  436. 15:16dispersion's high, that should be great
  437. 15:17for stock pickers. Well, not really
  438. 15:19because nothing gets dislocated long
  439. 15:20enough.
  440. 15:21So if I'm a stock picker, I actually
  441. 15:23want correlation really high.
  442. 15:25This is this I'm I can't wait for
  443. 15:27someone to blow me up on this point, but
  444. 15:30I want my stock that isn't hurt by
  445. 15:33whatever event that makes you sell the
  446. 15:35index so I can buy it cheaper than it
  447. 15:37should be.
  448. 15:38Today we don't have as much of that. I
  449. 15:41think there's a lot of reasons retail
  450. 15:44people that are watching this probably
  451. 15:47talk more about single stocks and trade
  452. 15:49more single stocks than they ever have.
  453. 15:51Well, guess what? The hedge funds that I
  454. 15:52used to work with
  455. 15:54they don't trade as much index. They're
  456. 15:55looking for baskets of stocks. And those
  457. 15:58baskets of stocks aren't 100 names long
  458. 16:01anymore. Hey, give me 20 really good
  459. 16:03ideas around this risk. Okay, 15 10 over
  460. 16:06there. Even look at the ETFs, like even
  461. 16:09some of the ones that we've launched,
  462. 16:10like DRAM,
  463. 16:11that are absolutely growing rapidly
  464. 16:15because people are looking
  465. 16:17to make more specific trades around what
  466. 16:21they're seeing, good or bad. That's
  467. 16:23micro efficient. That's why
  468. 16:25correlation's low.
  469. 16:27>> It's funny you say people are looking
  470. 16:28for different risks to trade. That to me
  471. 16:31sounds like you're describing thematic
  472. 16:33investing. Is that the same thing?
  473. 16:34>> Yeah, thematics,
  474. 16:36thematic industries even, different
  475. 16:38parts of AI, different sectors. Again,
  476. 16:41anything more focused around
  477. 16:44a very specific
  478. 16:46fundamental narrative, story, risk.
  479. 16:49There's a million different names we can
  480. 16:51call it, but I do think the way the
  481. 16:55world's evolved for not just individual
  482. 16:57investors, but for institutions, it's
  483. 17:00about precision.
  484. 17:02>> Hm. And so I I will say uh Roundhill I I
  485. 17:06follow you guys very closely. I follow
  486. 17:07your work. You guys are excellent at
  487. 17:11picking very niche uh thematics, let's
  488. 17:15say. Even uh like memory bottlenecks.
  489. 17:17You guys nailed that. And that's a
  490. 17:19really interesting theme that's going to
  491. 17:20last, I think, for a very long time. And
  492. 17:24therefore the assets will probably
  493. 17:25continue to accrue for a very long time
  494. 17:27to a theme like that.
  495. 17:29Let me ask you about the Mag Seven.
  496. 17:30They're only up about 6% this year,
  497. 17:33lagging the S&P 500. Roundhill has a Mag
  498. 17:36Seven ETF. It's M A G S, Mags.
  499. 17:40How are you thinking about the Mag Seven
  500. 17:42as a group, as a trade right now? Do you
  501. 17:44have favorites in this? What's going on?
  502. 17:47>> Lots to unpack. It's
  503. 17:49It's still seven
  504. 17:51>> you want.
  505. 17:51>> It's It's fun cuz it's seven of the most
  506. 17:53important stocks in the market still.
  507. 17:55And it's funny why that moniker has
  508. 17:57lasted so long. Even if they
  509. 17:59underperform, why do you care about
  510. 18:00them? Because they're
  511. 18:02they have major impact on the rest of
  512. 18:05the market, the capex they spend, the
  513. 18:07financing they back,
  514. 18:09the themes they represent.
  515. 18:12It all matters, matters, matters. So I
  516. 18:14think the relevance even when they
  517. 18:15underperform stays pretty high. So the
  518. 18:18nice thing about having Mags is you can
  519. 18:20trade the group. What I've
  520. 18:23come to realize,
  521. 18:24anytime I personally feel terrible about
  522. 18:27one of those stocks is probably when I
  523. 18:29should have bought them.
  524. 18:30Think about Meta this year.
  525. 18:33Uh, Meta's dead. It's behind. It's
  526. 18:35lagging. They come out with Muse. It
  527. 18:37pops.
  528. 18:38Oh man, now I'm chasing Meta.
  529. 18:40Google, left for dead, AI dinosaur,
  530. 18:43search is getting killed.
  531. 18:45Oh wow, cloud revenue's growing really
  532. 18:47fast.
  533. 18:48Microsoft software's disrupted. That
  534. 18:51quarter looked pretty good. [laughter]
  535. 18:53Amazon, consumer business under
  536. 18:55pressure. Oh wow, look at all the other
  537. 18:57growth and what it's doing with AWS,
  538. 19:01where it might even be competing with
  539. 19:03the SpaceX. Like you start sitting there
  540. 19:04and you you sit back and you look at all
  541. 19:06these stocks and they're big and dynamic
  542. 19:09and innovative. They're the most
  543. 19:11differentiated
  544. 19:13they've ever been. It's so hard to pick
  545. 19:15within them.
  546. 19:17But you put me on the spot,
  547. 19:19if I had to pick
  548. 19:21in the Mag Seven right now,
  549. 19:23Microsoft, technically, I'll give Thomas
  550. 19:25on my team does a ton of great work on
  551. 19:27this.
  552. 19:28Software's technical setup is a lot
  553. 19:30easier short-term.
  554. 19:32And Microsoft is working off this point
  555. 19:34where sentiment was low, expectations,
  556. 19:37what was priced in for growth was
  557. 19:38relatively low. I think that's a much
  558. 19:41easier bar to clear. So I like having
  559. 19:43Microsoft and then I want to pair it
  560. 19:46with I want to couple it with something
  561. 19:48else in the Mag Seven.
  562. 19:50Meta, Amazon, or Google. Give me one of
  563. 19:52those three hyperscalers and what
  564. 19:54they're doing.
  565. 19:56They don't pop and work at the same time
  566. 19:58as Microsoft. I like owning them
  567. 19:59together.
  568. 20:00So if you're not going to own the whole
  569. 20:01Mag Seven, make sure you have a little
  570. 20:04bit of differentiation within the group.
  571. 20:07>> Okay, I um I own Google. I think that's
  572. 20:11the only Mag Seven I currently own. I
  573. 20:13like that stock a lot. Maybe I should
  574. 20:15get into Microsoft. I don't know. I'm
  575. 20:17I'm not as bullish on the software theme
  576. 20:20at large. I And maybe I'm just holding
  577. 20:23on to getting spooked out of the SaaS
  578. 20:25pocalypse earlier this year. Since then,
  579. 20:28I kind of just don't want to deal with
  580. 20:29it. Is that something that factors into
  581. 20:32how you're you're talking about this?
  582. 20:33>> Yeah, cuz it's different type of risk.
  583. 20:35Isn't it funny? We're talking about AI
  584. 20:37and we're talking about risk to AI. So
  585. 20:40the hyper scalers,
  586. 20:42Amazon and some of these other companies
  587. 20:44that are having to put a hell of a lot
  588. 20:46of money up front for CAPEX, have a
  589. 20:48different type of risk, different type
  590. 20:50of opportunity.
  591. 20:52Microsoft on the other hand, like yeah,
  592. 20:54they are developing. Yeah, are they
  593. 20:55doing like compute and so on? Yes.
  594. 20:58Uh the growth expectations are just
  595. 21:00different there.
  596. 21:02And the risk of disruption near term
  597. 21:05that probably got a little too
  598. 21:07aggressively priced in gives you a
  599. 21:08different type of risk if you own
  600. 21:10software.
  601. 21:11Like look, we we actively manage one of
  602. 21:13our ETFs, chat.
  603. 21:15And that's where we look at AI and
  604. 21:17generative technology as a whole.
  605. 21:19And look, we're we're very
  606. 21:21very aggressively tilted to hardware and
  607. 21:24semis and a lot of the bottlenecks. That
  608. 21:27really drove us to look at something
  609. 21:29like memory as a a standalone ETF.
  610. 21:32Those make a lot of sense and they have
  611. 21:34runway fundamentally, but we know the
  612. 21:37stocks have moved.
  613. 21:38What we've been lagging into is a lot
  614. 21:41more software names over the past few
  615. 21:43months. And you're starting to see like
  616. 21:45the AI narrative change that it's not
  617. 21:47one versus the other. All of these are
  618. 21:50probably going to have to work all
  619. 21:51together at some point.
  620. 21:53You're going to need software companies
  621. 21:56that have relationships with end people
  622. 21:59that will use and adopt AI into their
  623. 22:01organizations as almost a point of sale
  624. 22:04for what the back end might be building.
  625. 22:06>> Yeah, those are really good points. Um
  626. 22:09it's interesting. I I actually didn't uh
  627. 22:10have chat on my radar as a ETF that's
  628. 22:14I'm going to look that one up. Um I want
  629. 22:15to ask you about photonics and optics.
  630. 22:17Roundhill does have an ETF for this,
  631. 22:20LYTE, light.
  632. 22:22Tell me about this trade as a theme and
  633. 22:24then also I want to get some of these
  634. 22:26specifics in this fund.
  635. 22:27>> Yeah, so we just went out with our first
  636. 22:31ever, we call it Focus Five.
  637. 22:33Our top five ideas based on our market
  638. 22:35outlook. And when we're looking at AI
  639. 22:38within this idea that we're late cycle
  640. 22:40in a more volatile phase and a volatile
  641. 22:42volatile older bull market,
  642. 22:45what trade in our portfolio did we like
  643. 22:48as our favorite AI on pullbacks trade?
  644. 22:50And Photonics stuck out.
  645. 22:53The reason is you still have
  646. 22:56this bottleneck. You can see that they
  647. 22:57have pricing power.
  648. 22:59You can see that
  649. 23:02they have visibility into earnings
  650. 23:04multiple years.
  651. 23:06On the sell off where Neo Clouds been at
  652. 23:09the heart of all this and financing,
  653. 23:12you've beaten up a lot of names that are
  654. 23:13very debt sensitive.
  655. 23:15Well, guess what? Photonics aren't. When
  656. 23:18you look at some of the biggest names
  657. 23:20in that group,
  658. 23:22they've actually reduced
  659. 23:24their debt risk over the past few years.
  660. 23:27But here's the but, quality looks
  661. 23:30better, it's gotten better, but they've
  662. 23:32traded down just like a Neo Cloud.
  663. 23:35So when you kind of sit there
  664. 23:37and step back for a minute, maybe there
  665. 23:39is a little bit of inefficiency that
  666. 23:40these things are getting sold off a
  667. 23:41little bit aggressive. That's why they
  668. 23:43they've been our favorite AI on
  669. 23:44pullbacks trade.
  670. 23:45>> So it's it's almost like people see the
  671. 23:48AI negative sentiment and they're just
  672. 23:50going to sell anything with any exposure
  673. 23:52to AI.
  674. 23:53>> Especially things that they feel should
  675. 23:55be higher beta, which basically will
  676. 23:57higher risk. What's higher risk? Smaller
  677. 23:58companies. They throw the Photonics
  678. 24:00names in there too.
  679. 24:02>> Got it. Okay. So one of the names you
  680. 24:04have here, Coherent, COHR,
  681. 24:07it's up about 6% this year. Tell me
  682. 24:09about this stock.
  683. 24:11>> Look, deleveraged. They have less debt.
  684. 24:15They have declining debt ratios, but
  685. 24:18this thing is the baby that's getting
  686. 24:19thrown out with the bath water.
  687. 24:21And it's funny. Another behemoth in the
  688. 24:24space, like in that Photonics space that
  689. 24:26I really like is Lite, L I T E, hence
  690. 24:29why L Y T E is our ticker for our fund.
  691. 24:33It looks really interesting to me, but
  692. 24:35we just have the news lately that makes
  693. 24:37it a where Marvell has agreed to acquire
  694. 24:40them in an all stock deal.
  695. 24:42So it's a little bit messy trying to
  696. 24:44trade Light right now because of the
  697. 24:46corporate actions.
  698. 24:48But when you really think about what
  699. 24:49that deal means for another good high
  700. 24:52quality player in the space,
  701. 24:55that bottleneck has value. Enough value
  702. 24:58where Marvell is looking to make an $80
  703. 25:01billion plus dollar purchase of
  704. 25:03Lumentum, of Light.
  705. 25:05>> You know, you're the second investor
  706. 25:07this week to tell me they really like
  707. 25:09Lumentum.
  708. 25:10So that's
  709. 25:12hopefully a good sign. Two smart people.
  710. 25:14>> ho hopefully he was a bear that's now a
  711. 25:16bull.
  712. 25:16>> Yeah. [laughter] Yeah.
  713. 25:17>> buyer. But we'll see. It's it's it's a
  714. 25:19messy story, but I think like longer
  715. 25:21term it's a bottleneck that matters.
  716. 25:23Moving data faster, more efficiently in
  717. 25:26data centers thematically is not going
  718. 25:28away. And these companies are actually
  719. 25:31better operators than they used to be 5
  720. 25:33years ago and they're not throwing on a
  721. 25:35ton more debt.
  722. 25:37I think it's an interesting quality AI
  723. 25:40trade that that's kind of been lumped in
  724. 25:42with some of the
  725. 25:43the more cyclical higher levered trades.
  726. 25:45>> I like it a lot. Um
  727. 25:47there's this idea of Halo stocks with
  728. 25:50Josh Brown which Josh Brown came up with
  729. 25:52earlier this year. Heavy assets, low
  730. 25:54obsolescence.
  731. 25:55Roundhill, of course, has an ETF around
  732. 25:58this, L O H A, which is Halo Rearranged.
  733. 26:03Tell me about this theme and why you
  734. 26:04like it.
  735. 26:05>> Uh Loha. Loha. Halo versus Loha here. Um
  736. 26:08>> out.
  737. 26:09>> so
  738. 26:11I said correlations down. I love kind of
  739. 26:13tying together like our narrative. You
  740. 26:15can see like how
  741. 26:16how we're doing our work at Roundhill.
  742. 26:18We're we're not an ETF issuer, but we're
  743. 26:21a bunch of market nerds that get in the
  744. 26:22weeds and that's how
  745. 26:24we find these things.
  746. 26:26And
  747. 26:27Loha's risk,
  748. 26:29it's just a different type of risk.
  749. 26:32And that's why it
  750. 26:33it works so beautifully alongside the AI
  751. 26:36trade right now.
  752. 26:37So if you look at Lohaw, it doesn't have
  753. 26:39a lot of overlap with like the S&P 500.
  754. 26:42Almost like next to nothing with Nasdaq.
  755. 26:46And well, nothing with MAGS.
  756. 26:48So it's it's interesting cuz it's
  757. 26:50different.
  758. 26:51But it it's volatile. It has its moves.
  759. 26:53It has a lot of exposure to like energy
  760. 26:56names, materials, construction,
  761. 26:58cyclicality, cyclical risk, the old
  762. 27:01school down and dirty stuff that gets
  763. 27:05made in the real world.
  764. 27:07But
  765. 27:08it's not a whole bunch of low beta,
  766. 27:11low volatility quant stocks that have
  767. 27:14no growth.
  768. 27:15These things have growth. They have
  769. 27:17earnings volatility. They move.
  770. 27:19But you get it where there's not a lot
  771. 27:22of growth priced in and they actually
  772. 27:24will grow and move. They just don't move
  773. 27:27at the same time as the AI trade.
  774. 27:29>> Which I think we need more of those in
  775. 27:33like the collective our portfolios. We
  776. 27:35probably need more of those because
  777. 27:37everyone has so much tech and AI
  778. 27:38exposure. You're probably underweight
  779. 27:41stocks like the the the boring stocks
  780. 27:43frankly. Um one of the stocks you named,
  781. 27:46Canadian Natural Resources,
  782. 27:50This is up almost 60% this year.
  783. 27:52>> Yep.
  784. 27:53>> Pretty good pick. Do you still like it
  785. 27:55at these levels?
  786. 27:56>> Yes. Why is
  787. 27:59the the issue here. So you can go buy
  788. 28:01Exxon.
  789. 28:03Exxon's up a whole bunch this year.
  790. 28:04Energy prices are up. Anything tied to
  791. 28:06energy would be. CNQ is.
  792. 28:09A little bit of
  793. 28:10different kind of energy and a little
  794. 28:12bit of
  795. 28:13refining exposure and it it it sells
  796. 28:16into like a different market, more into
  797. 28:19like
  798. 28:20diesel and petrochemicals, not just kind
  799. 28:23of traditional stuff like that's
  800. 28:25the oil they sell is what gets refined
  801. 28:27into like physical things that you use
  802. 28:30in asphalt and so on. So the story's a
  803. 28:32little bit different. So volatility
  804. 28:34compared to a big integrated oil
  805. 28:36company's actually higher. So, I have
  806. 28:38more leverage to choke choke points
  807. 28:42in energy refining to energy price
  808. 28:44moves. And even if the prices come down,
  809. 28:47if the refining spreads are still wide,
  810. 28:49you probably have a different profile
  811. 28:51here.
  812. 28:52So, when I think about it, these might
  813. 28:55sound like boring stocks cuz they're not
  814. 28:57tech,
  815. 28:58but they have a lot of volatility and
  816. 29:00movement. They're a different kind of
  817. 29:03risk. I guess maybe boring cuz it's not
  818. 29:05tech risk and it's not fun and gadgets,
  819. 29:07but in a portfolio,
  820. 29:10they move. You feel them, but they just
  821. 29:12move at a different time. That's the
  822. 29:13key.
  823. 29:14>> Well, boring also because no one writes
  824. 29:16about them. Like you don't see these
  825. 29:18names in the news if they're not AI
  826. 29:20stocks.
  827. 29:21>> That's that's the beauty of them. And
  828. 29:23that's why the growth expectations are
  829. 29:25so low.
  830. 29:26>> The the less people are talking about a
  831. 29:28name, the more bullish it is, gen-
  832. 29:29generally speaking.
  833. 29:30>> Yeah, it can be cuz you got got a chance
  834. 29:32to find that new buyer, right? Back to
  835. 29:34tying something together. The sentiment
  836. 29:37here lower, you can find more people.
  837. 29:39>> This next stock which you shared with
  838. 29:41me, Kirby Corporation, KEX.
  839. 29:45It's up 28% this year. Also a Halo
  840. 29:48stock.
  841. 29:49What is this name? I've never heard of
  842. 29:50this.
  843. 29:51>> Okay, this might actually be boring. Um,
  844. 29:53[laughter]
  845. 29:54they literally operate ships
  846. 29:57and move
  847. 29:59oil and refined products within the
  848. 30:01United States.
  849. 30:03They it's a barge company. They move
  850. 30:06stuff from point A to point B. They're
  851. 30:08kind of in this random I I would say
  852. 30:11like transportation, but energy
  853. 30:13transportation sector that's not a
  854. 30:14pipeline.
  855. 30:16>> Sounds very economically resilient.
  856. 30:18>> It is. And yeah, there's some nuances
  857. 30:21that kind of protect their moat here,
  858. 30:23but also not too many people are just
  859. 30:25building ships, large big barges
  860. 30:27overnight, right?
  861. 30:29What's not boring about them, what's not
  862. 30:31boring about CNQ, what's not boring
  863. 30:34about the Mag 7 as a whole in AI stocks,
  864. 30:38they all actually have something in
  865. 30:39common.
  866. 30:40Their revisions, the estimates, the
  867. 30:43earnings expectations by Wall Street
  868. 30:46have moved up for most of the year.
  869. 30:49So while it might be a boring business,
  870. 30:51it's a boring business people have
  871. 30:53underestimated.
  872. 30:55So back to almost the top
  873. 30:58discussion here.
  874. 30:59A late stage bull market, nothing is
  875. 31:02cheap,
  876. 31:03but how does a stock go up when people
  877. 31:05underestimate it? And this to us fits
  878. 31:09into that narrative. It's a different
  879. 31:11type of risk.
  880. 31:12It's still late cycle.
  881. 31:15We're okay with risk as long as there's
  882. 31:17a story that tells me why I should buy
  883. 31:19it when it's not cheap. And that's the
  884. 31:21revision pattern.
  885. 31:22>> So are most of the stocks
  886. 31:25that you guys put into these funds,
  887. 31:26let's say,
  888. 31:28you are looking for that revision
  889. 31:30factor? Is that one of the big variables
  890. 31:32that goes into all your themes that
  891. 31:34you're looking at?
  892. 31:35>> No, it's not because at some point the
  893. 31:38revision story in a different market
  894. 31:41cycle won't work. What we're trying to
  895. 31:43put into the funds that you see in our
  896. 31:45lineup
  897. 31:46are the stocks that are tied to the
  898. 31:48industry and the thematic that are pure.
  899. 31:52What is a memory stock? We know what
  900. 31:55those are. Let's get that defined group
  901. 31:57right. Again, get the bucket right. What
  902. 32:00we want investors to know is we care
  903. 32:02about the tools we make. We want them to
  904. 32:04be representative of what they're
  905. 32:05supposed to be. And then what we're
  906. 32:08trying to do, like my job, why I'm at
  907. 32:09Roundhill, is try to take this
  908. 32:11I don't want to say mess, but I'm going
  909. 32:13to say mess, of all these different
  910. 32:15themes and all these different types of
  911. 32:16risks and try to highlight what we think
  912. 32:17makes sense.
  913. 32:19So whether you like memory today or not,
  914. 32:21we would expect people to kind of trade
  915. 32:24the ETF if they want good exposure.
  916. 32:27If you want hard assets, we think Loha
  917. 32:29gives you a good group of hard asset
  918. 32:31stocks. If you want neo clouds, we do
  919. 32:33that. If you want photonics, we do that.
  920. 32:35If you want the Mag Seven, you know what
  921. 32:37you're going to get there.
  922. 32:38If you want
  923. 32:40multi-layer ceramic capacitors,
  924. 32:42something we've
  925. 32:44you and I our brains would explode
  926. 32:46trying to figure this out, but if you
  927. 32:47want exposure
  928. 32:49to industry thematics that are focused
  929. 32:51and trade ideas to put in your
  930. 32:53portfolio,
  931. 32:54we want to make
  932. 32:56the right tool for it, whether it's
  933. 32:57right for the market environment or not.
  934. 33:00>> And I think one of the advantages of
  935. 33:01thematic investing in general, we've
  936. 33:03seen this sort of renaissance time for
  937. 33:06thematic investing.
  938. 33:08Retail does not have to be stock
  939. 33:10picking,
  940. 33:11which is I think very advantageous. Even
  941. 33:13for myself, I live and breathe markets
  942. 33:15all the time, but if I see a theme to
  943. 33:17buy, it's way lower of a barrier to
  944. 33:20entry for me than trying to do the work
  945. 33:22on a single-name company. So I think
  946. 33:25Roundhill and your competitors, you've
  947. 33:27all done a very good job at almost like
  948. 33:28democratizing thematic investing. That's
  949. 33:30really interesting because it used to be
  950. 33:33just hard to figure out as an individual
  951. 33:35investor.
  952. 33:37I I want to ask you about
  953. 33:39why you made the jump to Roundhill
  954. 33:40because you did have
  955. 33:42a long and big career at Citi,
  956. 33:44obviously one of the biggest Wall Street
  957. 33:46banks we have,
  958. 33:48and now you are at a relative upstart
  959. 33:50compared to Wall Street Bank.
  960. 33:52Why did you make that jump? Because I
  961. 33:54think a lot of people would have not
  962. 33:55made that jump.
  963. 33:56>> Yeah, I guess I like being
  964. 33:58uncomfortable. I have dad back, that's
  965. 34:00why I'm fidgeting around in this chair
  966. 34:02the whole time, but the
  967. 34:05what you said
  968. 34:06about thematic investing in its
  969. 34:09resurgence,
  970. 34:11I saw that on the street.
  971. 34:13I spent a lot of time with our traders
  972. 34:15talking about baskets, trying to come up
  973. 34:17with new ways to slice and dice markets
  974. 34:19for big institutions.
  975. 34:21And
  976. 34:23they were thinking about the world
  977. 34:24differently, and these companies were
  978. 34:25evolving faster than
  979. 34:28large cap growth and large cap value
  980. 34:31styles were. Even the factors were
  981. 34:33starting to look old and dated, and
  982. 34:35people were looking at new ways to do
  983. 34:38investing.
  984. 34:40And guess what? If institutions do it,
  985. 34:42there's no reason retail can't and
  986. 34:44shouldn't. So this resurgence of
  987. 34:46thematics and and look, I I see it in
  988. 34:49the ETF flow data too. Thematics were
  989. 34:52almost like next to nothing of US equity
  990. 34:54flows a couple years ago. You're certain
  991. 34:56to see them be like a bigger portion of
  992. 34:58flows like in the last few years as it
  993. 35:00comes back.
  994. 35:02That's because the world and investing
  995. 35:03world
  996. 35:04is evolving faster than these old
  997. 35:06traditional constructs that people used
  998. 35:08to get in ETFs.
  999. 35:11Tech is a sector
  1000. 35:12now is broken apart over three or four
  1001. 35:14different sectors, depending how you
  1002. 35:16want to look at it.
  1003. 35:17The styles,
  1004. 35:19well, they get messed up
  1005. 35:21when you look at how companies change
  1006. 35:22faster than their data changes.
  1007. 35:25Memory stocks, are they growth stocks or
  1008. 35:27they value stocks? Well, if you asked
  1009. 35:28Russell and S&P, they told you something
  1010. 35:30different at the beginning of the year.
  1011. 35:32So I I
  1012. 35:33have a very strong belief
  1013. 35:36that good thematics, good baskets, good
  1014. 35:41focused tools to trade risks,
  1015. 35:44it's not just an institutional thing.
  1016. 35:46It can be for institutions, it could be
  1017. 35:48for retail investors, and I think ETFs
  1018. 35:50make a lot of sense.
  1019. 35:52>> I agree with all of that. I mean, the
  1020. 35:54ETF revolution has been extraordinary. I
  1021. 35:57think most of my friends, let's say,
  1022. 36:00who are, let's say, 28 to 35 independent
  1023. 36:04investors, they make six figures,
  1024. 36:08they are buying almost exclusively ETFs,
  1025. 36:11and I don't think any of them are
  1026. 36:13picking single stocks,
  1027. 36:14which but they're also not really buying
  1028. 36:17the S&P 500, which is another change cuz
  1029. 36:19that used to be the retirement default,
  1030. 36:22but now you can get much more specific
  1031. 36:25and it's almost like you can feel like a
  1032. 36:27stock picker if you pick a memory ETF.
  1033. 36:30You don't have to be that clever to do
  1034. 36:31that because it's sort of silver spoon
  1035. 36:34on a plate for you.
  1036. 36:35But that access I think has changed a
  1037. 36:38lot of individual investors outlook on
  1038. 36:40how they invest in the market, how they
  1039. 36:42plan for retirement, things like that.
  1040. 36:44>> It changes institutions, too.
  1041. 36:46And and advisors.
  1042. 36:48Cuz people talk about core and explorer
  1043. 36:50core and satellite. And and I say this
  1044. 36:53like honestly here, would I love for
  1045. 36:56your portfolio to be full of Roundhill
  1046. 36:58ETFs?
  1047. 37:00Yeah, it'd be great for our bottom line.
  1048. 37:01You should not do that.
  1049. 37:03Buying the S&P 500, buying a core
  1050. 37:06vehicle in the middle to have your
  1051. 37:09exposure makes a ton of sense.
  1052. 37:11We're trying to make the best tool for
  1053. 37:13you to add around that.
  1054. 37:15Like again, why we think memory was a
  1055. 37:18good
  1056. 37:20thematic industry ETF is because it gave
  1057. 37:23you pure exposure to that. It's more
  1058. 37:26volatile than buying a broader
  1059. 37:27semiconductor ETF.
  1060. 37:29That's actually good for you because if
  1061. 37:32you want to feel it in your portfolio,
  1062. 37:34it can be 2 to 5% of your portfolio,
  1063. 37:36where the old semiconductor
  1064. 37:39or sector ETFs had to be 10 or 20% to
  1065. 37:41feel it.
  1066. 37:43We're We make products that are focused
  1067. 37:47so you can buy less of us and feel the
  1068. 37:49impact and have more bets on different
  1069. 37:51types of risk in your portfolio.
  1070. 37:53That's what I think is changing and I
  1071. 37:56think institutions and individuals can
  1072. 37:58see that and they can now get better
  1073. 37:59tools.
  1074. 38:00>> It's like you could sprinkle in super
  1075. 38:02high beta concentrated bets almost
  1076. 38:05around your
  1077. 38:06whatever it is, S&P 500.
  1078. 38:09Which I I think is frankly very useful.
  1079. 38:11I do it all the time.
  1080. 38:13Drew, where can we send people to find
  1081. 38:15more of your work?
  1082. 38:16>> Look,
  1083. 38:17right now find us on LinkedIn.
  1084. 38:19We're putting out
  1085. 38:21And I I love doing it cuz again, I'm I'm
  1086. 38:23one of those market nerds at Roundhill.
  1087. 38:26And the team
  1088. 38:27We work on this every day and it's all
  1089. 38:30our own charts and data and you can see
  1090. 38:32it. Every day we got a newsletter out,
  1091. 38:34the Market Memo.
  1092. 38:35Absolutely proud of what we've built.
  1093. 38:38I'm eight plus weeks on the job and we
  1094. 38:40missed one day, my first day. That was
  1095. 38:42it.
  1096. 38:43>> [clears throat]
  1097. 38:43>> Very impressive. I read it. You guys do
  1098. 38:45excellent work and uh look forward to
  1099. 38:47next time, Drew. Thank you very much for
  1100. 38:48your time.
  1101. 38:49>> Good fill, guys. Thank you.

About this transcript

This page contains the full transcript of Roundhill Investment Chief: 5 stocks WIN the LATE-STAGE AI CRASH by Phil Rosen, generated from the public captions YouTube serves with the video. The transcript has 6,726 words across 1,101 segments, with the original timestamps preserved so you can click any line to jump to that moment in the embedded player.

What you can do with it

Use the transcript to take notes, quote the speaker, build a study guide, generate a summary with ChatGPT or Claude via the YouTube Summary tool, or export it as a timed subtitle file with YouTube to SRT. You can also re-open it in the transcriber to choose a caption track available on the video.

Free YouTube transcript tool

YouTube2Text is a free YouTube transcript generator — no signup, no daily limit. Paste any YouTube link and get the full transcript instantly, with timestamps, click-to-jump, caption language selection, AI prompts for ChatGPT, Claude, and Gemini, and exports to TXT, SRT, VTT, or Markdown.