YouTube2Text

事態が急変しました...。海外機関投資家の不穏の動きにより今後日本株にとんでもないことが起こるかもしれません — Transcript

by イケガミ投資塾【メガバンク出身】 · 4,735 words · 726 segments · language en · Watch on YouTube

Full transcript

  1. 0:00Hello, everyone. I am Yukigami. I’d
  2. 0:03like to start with one question: why
  3. 0:05are stock prices rising in this
  4. 0:07environment? I’m sure many of you
  5. 0:10have wondered this; we only hear about
  6. 0:12high prices and inflation, and the wars
  7. 0:14around the world haven't ended. Wages
  8. 0:18aren't going up either. Yet, for some
  9. 0:20reason, the market keeps trending
  10. 0:21upward. Especially those who study
  11. 0:24fundamentals—that is, corporate
  12. 0:26performance and actual economic
  13. 0:27conditions—have likely felt
  14. 0:29frustrated, wondering why the market
  15. 0:31moves in ways that defy reality. I
  16. 0:34believe this point is very important.
  17. 0:36That frustration isn't because your
  18. 0:38analysis is wrong. The reality is that
  19. 0:41the main drivers of price movement are
  20. 0:43no longer human. It’s simply that
  21. 0:45automated trading, such as algorithmic
  22. 0:47trading, is what moves the market. Some
  23. 0:50of you might think that if machines are
  24. 0:52driving it, there’s nothing
  25. 0:54individual investors can do. Honestly,
  26. 0:57this way of thinking is half right and
  27. 0:59half wrong. It is true that as long as
  28. 1:01machines are in control, humans trying
  29. 1:03to compete with emotions or rules of
  30. 1:05thumb are at a disadvantage. However,
  31. 1:08machines have their own fixed habits.
  32. 1:10If you understand those habits, you can
  33. 1:13actually ride them effectively and
  34. 1:14still secure significant profits as an
  35. 1:16individual investor. Today, I want to
  36. 1:19clarify the true nature of this gap
  37. 1:21between reality and stock prices, and
  38. 1:24how to follow it, using concrete
  39. 1:26numbers to explain it down to the last
  40. 1:28detail. Let’s look at some U.S. data,
  41. 1:31specifically consumer sentiment—the
  42. 1:33public's mood regarding the economy.
  43. 1:35This has fallen to its most pessimistic
  44. 1:38level in the past 74 years. Looking
  45. 1:40back at history, every time consumer
  46. 1:42sentiment has plummeted this sharply,
  47. 1:44it has led to an economic recession.
  48. 1:47Without exception. Logically, it
  49. 1:48wouldn’t be strange for this to
  50. 1:50eventually impact corporate earnings.
  51. 1:52However, while ordinary people are
  52. 1:54suffering, stock prices are not
  53. 1:56crashing. Even with the war surrounding
  54. 1:58Iran, there is no evidence that the
  55. 2:00economy has improved compared to before
  56. 2:02the conflict. Yet, as a matter of fact,
  57. 2:04stock prices are higher than they were
  58. 2:06before the war. You might say it can be
  59. 2:07explained to some extent by claiming
  60. 2:09that stock prices reflect the future.
  61. 2:11But honestly, there are so many times
  62. 2:12when the market moves seem to go too
  63. 2:14far, aren't there? I personally used to
  64. 2:16make decisions in the investment
  65. 2:17banking division of a mega-bank by
  66. 2:19looking at both fundamentals and
  67. 2:21technicals, but lately, it's clear that
  68. 2:23technicals are working more often. At
  69. 2:25least, that’s the impression I have.
  70. 2:27However, this isn’t just a gut
  71. 2:29feeling; it’s actually because the
  72. 2:30market participants themselves have
  73. 2:32changed. The important thing is that
  74. 2:34once you understand the true nature of
  75. 2:36this shift, you can to some extent
  76. 2:38anticipate which way the market will
  77. 2:40move next. So, in this video, I will
  78. 2:42explain what exactly is creating this
  79. 2:44gap between reality and stock prices,
  80. 2:46and how we individual investors can
  81. 2:48build profits by following these market
  82. 2:50participants. I will break it down
  83. 2:52using specific conditions and figures,
  84. 2:54so please make sure to watch until the
  85. 2:56end. Once again, I am Ikegami. I spent
  86. 2:59a long time fighting on the front lines
  87. 3:01in the investment banking division of a
  88. 3:03mega-bank. On this channel, I share
  89. 3:06information that will help with your
  90. 3:08investments based on that experience,
  91. 3:10so please be sure to subscribe. The
  92. 3:13biggest disadvantage for individual
  93. 3:15investors in Japan is actually the
  94. 3:17order in which information arrives.
  95. 3:20When I was in the investment banking
  96. 3:21division, I always kept a professional
  97. 3:23"QUICK" terminal on my desk where I
  98. 3:25could see it. A QUICK terminal is a
  99. 3:28device that provides stock prices,
  100. 3:30futures, options, forex, and bond
  101. 3:32prices, as well as the latest news, far
  102. 3:34faster than the general public. In
  103. 3:36Japan, these are widely used by
  104. 3:38securities firms, banks, asset
  105. 3:40management firms, insurance companies,
  106. 3:42and pension funds. Simply put, it’s
  107. 3:44impossible for those who see
  108. 3:45information later to win against those
  109. 3:47who see it first. By the time you see
  110. 3:49the news and think a stock is a buy,
  111. 3:51the institutional investors have
  112. 3:52already finished their trading. I’d
  113. 3:54like to introduce one typical example
  114. 3:56of this priority information. This is a
  115. 3:59report that was issued to clients by
  116. 4:00the investment banking division of the
  117. 4:02bank where I worked, and this is what
  118. 4:04it says. It states that while the rise
  119. 4:07in stock prices from the recent lows
  120. 4:09involved some short-covering, the main
  121. 4:11driving force was buying by CTAs. That
  122. 4:13is exactly what it says. I’ll break
  123. 4:15down two terms here. First is "short
  124. 4:17covering." This is when people who
  125. 4:19borrowed and sold stocks—that is,
  126. 4:21short sellers—buy back the shares to
  127. 4:23return them. For example, imagine you
  128. 4:26borrowed a game from a friend and sold
  129. 4:28it for 10,000 yen. To return the game
  130. 4:30later, you would have to buy that same
  131. 4:32game back from somewhere. Stock trading
  132. 4:35is the same; investors who shorted a
  133. 4:37stock expecting a drop must eventually
  134. 4:39buy it back to return it. So, if the
  135. 4:42price starts to rise, short sellers
  136. 4:44fearing further losses will scramble to
  137. 4:47buy back the stock. This buying
  138. 4:49activity can push the price even higher
  139. 4:51, leading to a surge that fuels further
  140. 4:54gains. However, it's important to note
  141. 4:56that they aren't buying because they
  142. 4:58actually want the stock. Since they are
  143. 5:01buying purely out of necessity to
  144. 5:02return borrowed shares, the buying
  145. 5:04pressure fades once the repurchasing
  146. 5:06concludes. In other words, a rise
  147. 5:09caused by short covering is not driven
  148. 5:11by an increase in investors who want
  149. 5:13the stock, but by a temporary price
  150. 5:15jump due to repurchasing. The other
  151. 5:18term is today's main topic: CTAs. Many
  152. 5:21of you have likely heard this
  153. 5:23three-letter acronym for the first time
  154. 5:25. Formally, it’s translated as "
  155. 5:27Commodity Trading Advisor," but the
  156. 5:29Japanese translation is quite confusing
  157. 5:31. Because it includes the word "
  158. 5:33commodity," people might think they
  159. 5:34only trade things like soybeans or corn
  160. 5:36. But in reality, that's completely
  161. 5:38wrong. Today's CTAs are massive
  162. 5:40investment funds that use computer
  163. 5:42programs to fully automate the trading
  164. 5:45of global stocks, bonds, and currencies
  165. 5:47. It’s enough to understand that only
  166. 5:50the name has remained from the past.
  167. 5:52The most important point here is that
  168. 5:54humans aren't making any of the
  169. 5:55decisions. Usually, when you hear "fund
  170. 5:58manager," you imagine a smart
  171. 6:00professional in a suit reading
  172. 6:02financial reports, meeting CEOs, and
  173. 6:04deciding that a company will grow.
  174. 6:07That’s likely the image you have.
  175. 6:08Back when I was at a bank, that was
  176. 6:10basically how our investment operations
  177. 6:12worked too. However, CTAs have none of
  178. 6:14that process. They don't read corporate
  179. 6:16financial statements. They don't meet
  180. 6:18with CEOs. They don't even look at
  181. 6:20economic news, naturally. All they look
  182. 6:22at is price movement on a chart. If it
  183. 6:24starts to rise, they buy; if it starts
  184. 6:26to fall, they sell. To put it extremely
  185. 6:28, that is their only basis for judgment
  186. 6:30. To use a more familiar analogy, it's
  187. 6:32like a self-driving car that only
  188. 6:34watches the brake lights of the car in
  189. 6:36front. If the car in front accelerates,
  190. 6:39it accelerates; if it slows down, it
  191. 6:42slows down. It doesn't see what's
  192. 6:43happening further down the road. So, as
  193. 6:45long as traffic is smooth, it drives
  194. 6:48with surprising accuracy. But you can
  195. 6:50imagine what happens when the car in
  196. 6:52front stops suddenly. What's scary is
  197. 6:56that there are hundreds of these
  198. 6:57self-driving cars globally, all running
  199. 6:59on the same program. One car is just a
  200. 7:02margin of error, but they all watch the
  201. 7:04same brake lights, hit the gas at the
  202. 7:06same time, and lift off at the same
  203. 7:08time. This leads to the point I’ll
  204. 7:10discuss later: machines making the same
  205. 7:12mistake all at once. From an investor's
  206. 7:14perspective, it sums up like this. They
  207. 7:16don't read the news. They only read
  208. 7:18charts. They are huge buyers and, at
  209. 7:20the same time, huge sellers. This means
  210. 7:23even when you're up at night watching
  211. 7:25the news and bracing for a market
  212. 7:26collapse, if the chart is pointing up,
  213. 7:28the machines will keep buying
  214. 7:30indifferently. Conversely, no matter
  215. 7:32how good the news is, the moment the
  216. 7:34chart turns downward, the machines will
  217. 7:36sell without mercy. These guys are
  218. 7:37usually the culprits on days when the
  219. 7:39news and stock prices don't align. This
  220. 7:41fact is truly important. In other words
  221. 7:44, CTAs do not take into account war,
  222. 7:46the economy, or corporate earnings at
  223. 7:48all. Machines automatically trade
  224. 7:51stocks by looking only at signals from
  225. 7:53charts, but the scale of CTA trading is
  226. 7:55staggering; according to a report
  227. 7:57Goldman Sachs released to clients on
  228. 7:59April 14, 2026, they have been buying
  229. 8:01up roughly 100 billion dollars in
  230. 8:03global stocks per week. In Japanese yen
  231. 8:05, that’s about 15 trillion yen. And
  232. 8:07that amount is increasing every year.
  233. 8:09Naturally, the capital inflow this year
  234. 8:11is the largest in history. In other
  235. 8:13words, the recent rise in stock prices
  236. 8:15may not be due to an improving economy
  237. 8:17or a resolution to the war, but simply
  238. 8:18because machines have been buying at a
  239. 8:20scale tens of thousands of times larger
  240. 8:22than humans. That is the background.
  241. 8:25Next, I will peel back the layers to
  242. 8:27see what those machines are looking at
  243. 8:29when they pull the trigger. This next
  244. 8:31part is very important, so I definitely
  245. 8:34want you to watch it. Many of you are
  246. 8:36likely investing monthly in the Nikkei
  247. 8:39225, S&P 500, or All Country World
  248. 8:41Index through NISA. In reality, the
  249. 8:43price of your investments is also being
  250. 8:45determined by the order buttons of
  251. 8:46machines on the other side of the globe
  252. 8:48. Thinking of it that way, it’s a
  253. 8:50waste to remain ignorant of their rules
  254. 8:52. CTAs use a strategy called trend
  255. 8:55following. They buy more when a market
  256. 8:57starts to rise, and sell more when it
  257. 8:59starts to fall. That is all there is to
  258. 9:01it. It rises, so they buy. They buy, so
  259. 9:04it rises. They simply ride the trend
  260. 9:06for all it is worth. By the way, retail
  261. 9:08investors who mindlessly flock to
  262. 9:10stocks just by watching price movements
  263. 9:12are sometimes ironically called "
  264. 9:14momentum chimpanzees," or "mome-chin"
  265. 9:16for short. In that sense, CTAs are the
  266. 9:19machine version of a "mome-chin."
  267. 9:21However, if you just laugh this off,
  268. 9:23you might lose out. This "mome-chin"
  269. 9:26strategy. It tends to be dismissed by
  270. 9:28both individuals and institutions, yet
  271. 9:30there are heaps of papers supporting
  272. 9:32its effectiveness. A famous 2017 paper
  273. 9:35even used long-term data dating back to
  274. 9:371880 to prove that trend-following
  275. 9:39strategies have shown attractive
  276. 9:41performance over the long term.
  277. 9:44Furthermore, a 2024 paper concludes
  278. 9:46that the more unstable the market, the
  279. 9:48more likely investors are to ignore
  280. 9:50fundamentals and rely on price
  281. 9:52movements, or momentum. It means that
  282. 9:54in times of uncertainty, humans become
  283. 9:56more like machines. So, what conditions
  284. 9:59are those machines programmed with?
  285. 10:01While the actual figures vary slightly
  286. 10:03by fund, various research and model
  287. 10:05analyses show they largely boil down to
  288. 10:08three main rules. The first one is the
  289. 10:11moving average. For example, the 5-day
  290. 10:13moving average and the 25-day moving
  291. 10:15average. There are investors who
  292. 10:17mechanically place buy orders when
  293. 10:18these form a golden cross. To begin
  294. 10:20with, a moving average is simply a line
  295. 10:22connecting the average stock price over
  296. 10:24the past several days. For example, if
  297. 10:26your test scores are 80 today, 50
  298. 10:28yesterday, and 90 before that, it's
  299. 10:31hard to tell if your performance is
  300. 10:33improving or declining. By calculating
  301. 10:37the average of the last five tests, you
  302. 10:39can see the overall trend without being
  303. 10:41distracted by temporary fluctuations in
  304. 10:44scores. A moving average is the same;
  305. 10:47by looking at the average over a
  306. 10:48certain period rather than daily prices
  307. 10:50, it becomes easier to grasp the
  308. 10:52broader direction of the stock. This is
  309. 10:54used by combining short-term,
  310. 10:55medium-term, and long-term periods to
  311. 10:57execute trades. From an investor's
  312. 10:59perspective, since the dates when these
  313. 11:00lines cross can be calculated and
  314. 11:02predicted in advance, the machines '
  315. 11:03order dates are somewhat readable. The
  316. 11:05second factor is short-term returns.
  317. 11:07The more positive the recent
  318. 11:09performance, the greater the automatic
  319. 11:10buying pressure becomes. The reverse is
  320. 11:12also true; the more negative it becomes
  321. 11:14, the more selling pressure increases.
  322. 11:16The third factor is the breakout. This
  323. 11:18is a mechanism that automatically buys
  324. 11:20once a stock exceeds a pre-determined
  325. 11:21high price. Human sentiment doesn't
  326. 11:23matter at all. The key price levels are
  327. 11:25not just numbers, they act as switches.
  328. 11:27In short, if the market crashes, the
  329. 11:29crowd of momentum traders will all
  330. 11:30switch to a wait-and-see stance
  331. 11:32simultaneously. As long as it doesn't
  332. 11:33crash, the higher it goes, the stronger
  333. 11:35the buying power becomes. This is
  334. 11:37extremely important. Some of you might
  335. 11:39wonder if they can really move the
  336. 11:40market at such a scale. However, it is
  337. 11:43entirely possible. CTA industry trading
  338. 11:45has ballooned to an unimaginable scale,
  339. 11:48from $ 40 billion in the year 2000 to
  340. 11:50about $ 100 billion per week by 2026.
  341. 11:53Furthermore, they use leverage with
  342. 11:55futures. Leverage is a mechanism that
  343. 11:57allows you to trade many times more
  344. 11:58than the capital you have on hand.
  345. 12:00It’s the same concept as a mortgage
  346. 12:01where you buy a house with just a down
  347. 12:02payment. That is why the actual
  348. 12:04position size becomes several times
  349. 12:05larger than the managed assets. While
  350. 12:07the fact that they use leverage is
  351. 12:09important, there is something even more
  352. 12:11shocking that is not widely known.
  353. 12:15Looking at the daily breakdown of the
  354. 12:17US stock market, roughly one-quarter of
  355. 12:19the total is retail investors, another
  356. 12:22quarter is human institutional
  357. 12:23investors, and the remaining half—the
  358. 12:26majority—consists of trades
  359. 12:27determined by machines. Among those,
  360. 12:31HFT accounts for an overwhelmingly high
  361. 12:34number of trades. HFT stands for
  362. 12:36High-Frequency Trading; simply put, it
  363. 12:38is a process where computers, not
  364. 12:40humans, repeatedly buy and sell stocks
  365. 12:42in the blink of an eye. For example,
  366. 12:44suppose Company A's stock is selling
  367. 12:46for 100 yen, and on another market,
  368. 12:48there is someone willing to buy it for
  369. 12:50100.1 yen. A human might not even
  370. 12:52notice such a tiny difference. But HFT
  371. 12:55computers instantly spot these slight
  372. 12:57price gaps, buying at 100 yen and
  373. 13:00selling at 100.1 yen. They repeat this
  374. 13:03one, ten, or a hundred times over a
  375. 13:05very short period. In other words, HFT
  376. 13:08doesn't aim for a large profit on a
  377. 13:10single trade, but rather builds up
  378. 13:12small gains through repeated
  379. 13:14transactions. Because of this, the
  380. 13:16number of trades HFT performs in the
  381. 13:17market is extremely high. However, this
  382. 13:20is the most important point for
  383. 13:21beginners. Just because HFT is trading
  384. 13:23a large volume doesn't mean a large
  385. 13:25number of investors are buying that
  386. 13:27stock. Once they buy at 100 yen and
  387. 13:29sell at 100.1 yen, they immediately
  388. 13:31move on to the next trade. The volume
  389. 13:34is inflated because they aren't holding
  390. 13:36onto what they buy, but are repeatedly
  391. 13:38buying and selling in a short timeframe
  392. 13:40. Therefore, even if HFT trading volume
  393. 13:42increases when stock prices are rising,
  394. 13:44it doesn't necessarily mean they are
  395. 13:46buying the stock for the long term.
  396. 13:48This is a key point to keep in mind
  397. 13:50when institutional investors look at
  398. 13:52HFT. On the other hand, the CTA—the "
  399. 13:54machine" investment group—tends to
  400. 13:56move almost in unison at similar times,
  401. 13:58even if each fund's settings are
  402. 14:00slightly different. That is why their
  403. 14:02concentrated, directional capital is on
  404. 14:04a completely different scale, and it is
  405. 14:06said that their influence on prices is
  406. 14:08actually the greatest. Needless to say,
  407. 14:10they are completely unaware of the
  408. 14:11current situation in Iran or the war in
  409. 14:13Ukraine, nor do they know that Japan's
  410. 14:15real wages are negative. It means they
  411. 14:17are determining global stock prices
  412. 14:18without even knowing it. That's just
  413. 14:20the kind of place the market is; it
  414. 14:22keeps running despite all these
  415. 14:24inconsistencies. Now, here is my own
  416. 14:26perspective. For those of you in the
  417. 14:29Japanese market, this mechanical Nikkei
  418. 14:32is much more intuitive than looking at
  419. 14:34the US S&P 500. This is because CTAs
  420. 14:37are running the exact same rules in the
  421. 14:39Nikkei 225 futures, a market with some
  422. 14:42of the world's highest liquidity.
  423. 14:44Because of this, there is one line I am
  424. 14:47drawing right now. That is the Nikkei
  425. 14:50225 at 60,000 yen. This is not just a
  426. 14:52nice round number. I see it as a price
  427. 14:56range where the three rules I explained
  428. 14:58earlier—moving averages, recent
  429. 15:00returns, and high-price breakouts—all
  430. 15:03converge. In other words, as long as it
  431. 15:05stays above 60,000 yen, the machines
  432. 15:07will continue to buy. However, the
  433. 15:09moment it falls below 60,000 yen, those
  434. 15:11same machines will all flip to selling
  435. 15:13at once. It means the ally that was
  436. 15:15supporting the price turns into a
  437. 15:16weapon against it. This asymmetry is
  438. 15:18what is truly terrifying. It means that
  439. 15:21once the market starts to fall, the
  440. 15:23machines provide zero support. When I
  441. 15:25was an institutional investor, I often
  442. 15:27saw buy orders vanish from the board
  443. 15:29the moment a key level was broken, but
  444. 15:32that wasn't humans fleeing; it was just
  445. 15:34the machines stopping their orders. Now
  446. 15:36, let me talk about the opposite side
  447. 15:38as well. This year, the US midterm
  448. 15:40elections are on November 3rd. Past
  449. 15:43data shows a tendency for the market to
  450. 15:46start rising about 22 trading days
  451. 15:48before the election, and this year,
  452. 15:50that date is October 2nd. To summarize,
  453. 15:53it looks like this. If the Nikkei
  454. 15:55maintains 60,000 yen after October 2nd,
  455. 15:58seasonality and mechanical buying will
  456. 16:00align in the same direction. Conversely
  457. 16:02, if it falls below 60,000 yen, a
  458. 16:04moment will come where all the machines
  459. 16:06are wrong at the same time. I will
  460. 16:07summarize this from an investor's
  461. 16:09perspective. Until the US midterm
  462. 16:11elections, you only need to watch this
  463. 16:13one line: the Nikkei 225 at 60,000 yen.
  464. 16:16Of course, this number may fluctuate
  465. 16:18slightly. But having the focus narrowed
  466. 16:21down to just one line to watch is a
  467. 16:22significant advantage in itself. And
  468. 16:25this next point is the most important
  469. 16:27part of this video. You might be
  470. 16:29thinking, wouldn't it be more
  471. 16:31profitable to just follow the charts
  472. 16:33and stop worrying about fundamentals?
  473. 16:35To be honest, that is true in some
  474. 16:37cases. Looking at last year's example,
  475. 16:39the momentum sell signal flashed at the
  476. 16:41start of the Trump tariff shock, and
  477. 16:42stock prices plummeted afterward. Then,
  478. 16:45it flashed a buy signal just after
  479. 16:47passing the bottom. And it was spot on.
  480. 16:49However, we must think about this
  481. 16:51calmly. Changes in momentum only tell
  482. 16:54us where the money is flowing at this
  483. 16:56very moment. Whether the economy is
  484. 16:58collapsing or a war is escalating
  485. 17:00behind the scenes, the charts won't
  486. 17:02tell us anything. To put it extremely,
  487. 17:04momentum traders will keep buying as
  488. 17:05long as the chart points up, even if
  489. 17:07there's a war or a recession is right
  490. 17:09around the corner. That is why they are
  491. 17:11incredibly powerful when a trend is in
  492. 17:13progress. But their weakness is that
  493. 17:15the moment a trend reverses, the entire
  494. 17:17momentum crowd gets it wrong at the
  495. 17:19same time. Furthermore, the momentum
  496. 17:21crowd accelerates the movement in both
  497. 17:23rising and falling markets. This causes
  498. 17:26stock prices to move far beyond the
  499. 17:28fair value indicated by fundamentals.
  500. 17:30Fair value refers to the inherently
  501. 17:32appropriate price based on a company's
  502. 17:34earnings. Think of it like the list
  503. 17:35price at a supermarket. Machines will
  504. 17:37keep lining up at the register even if
  505. 17:39the price is list price or half off.
  506. 17:41Therefore, only those who can judge
  507. 17:43whether a stock is oversold or
  508. 17:44overbought based on performance can
  509. 17:46take advantage of the machines'
  510. 17:48excesses. If you only look at the
  511. 17:49charts, you won't have a basis to buy
  512. 17:51while a stock is clearly falling. Since
  513. 17:53your reasoning is weak, you may end up
  514. 17:55missing the bottom while frozen in
  515. 17:57inaction. Conversely, if you only look
  516. 17:59at fundamentals, you might keep saying
  517. 18:01the stock price is wrong and fail to
  518. 18:02ride the uptrend. I will summarize the
  519. 18:05conclusion in 30 seconds. What moves
  520. 18:07stock prices is not the economy, but
  521. 18:08machines that only read charts. Those
  522. 18:10machines turn from friend to foe at the
  523. 18:13boundary of a specific Nikkei 225 level
  524. 18:15after October 2nd, ahead of the US
  525. 18:18midterm elections. That is why we
  526. 18:20investors should adopt a dual-wielding
  527. 18:22approach: riding the momentum while
  528. 18:24securing an escape route using
  529. 18:25fundamentals. Just knowing that this "
  530. 18:27Momichin Corps" exists allows you to
  531. 18:29stay calm and not panic when faced with
  532. 18:31strange market movements that news
  533. 18:33reports cannot explain. That alone is a
  534. 18:35truly huge advantage. Finally, I would
  535. 18:38like to ask you all a question. With
  536. 18:40the midterm elections approaching on
  537. 18:42November 3rd, will the machines
  538. 18:44continue to press the accelerator at
  539. 18:46the 60,000 yen mark, or will everyone
  540. 18:48hit the brake and accelerator by
  541. 18:49mistake at the same time? Which would
  542. 18:51you bet on right now? I hope this video
  543. 18:54gives you an opportunity to think about
  544. 18:56that answer. From here on, it’s a bit
  545. 19:00of casual chat, so please relax and
  546. 19:02listen. I explained that it isn't
  547. 19:04humans moving the stock prices this
  548. 19:06time, but there is an event where just
  549. 19:08one single person moves the markets
  550. 19:10across the entire world. That event
  551. 19:12isn't earnings reports, nor is it key
  552. 19:14economic indicators like the employment
  553. 19:16statistics; for me, it’s the FOMC,
  554. 19:18and the main star is the Fed Chair. The
  555. 19:20FOMC is the meeting that determines US
  556. 19:22monetary policy, held eight times a
  557. 19:24year. In Japan, it would be equivalent
  558. 19:26to the Bank of Japan's Monetary Policy
  559. 19:28Meeting. It is here that interest rate
  560. 19:30decisions are made, causing stock
  561. 19:32prices and currencies around the world
  562. 19:33to move in unison. When I was an
  563. 19:35institutional investor at a bank, from
  564. 19:37the day before the FOMC, I wouldn't go
  565. 19:39as far as saying I couldn't work, but I
  566. 19:42was always restless and something in my
  567. 19:44mind was always uneasy. From around the
  568. 19:46evening, I would think over and over
  569. 19:48again, "Is it the FOMC tonight?" That
  570. 19:50feeling resembles something, and I’ve
  571. 19:52been thinking about what it might be; I
  572. 19:54think it’s like the feeling of lying
  573. 19:56in bed the night before an elementary
  574. 19:57school sports day. It's that unique
  575. 20:00sensation where your eyes stay wide
  576. 20:01open, thinking about whether you'll run
  577. 20:03well tomorrow or hoping to do your best
  578. 20:05in the relay. Actually, when I was
  579. 20:07little, I was a bit good at running,
  580. 20:09and in elementary school, I was always
  581. 20:11a relay runner for my class. That’s
  582. 20:13why every year, I could never really
  583. 20:15sleep on the night before the sports
  584. 20:17day. Even after growing up, wearing a
  585. 20:18suit, and being in a position to move
  586. 20:20hundreds of millions or billions of
  587. 20:22dollars at a bank, what I feel the
  588. 20:23night before the FOMC is almost the
  589. 20:25same as when I was in elementary school
  590. 20:27. I find that quite interesting, if I
  591. 20:29do say so myself. Well, the difference
  592. 20:31might be that if you stumble in a relay
  593. 20:32race, you can just laugh it off, but if
  594. 20:34you stumble at an FOMC, your boss’s
  595. 20:36face will be a different color the next
  596. 20:38morning. What’s interesting is that I
  597. 20:40wasn’t the only one feeling restless.
  598. 20:43The entire investment banking division
  599. 20:45at the bank where I worked would have a
  600. 20:47change in atmosphere right before an
  601. 20:49FOMC. We were usually chatting, but
  602. 20:51everyone would go quiet. Even voices on
  603. 20:53the phone would get a little lower. No
  604. 20:55one would say, "The FOMC is coming up,"
  605. 20:57but you could tell everyone was
  606. 20:59thinking about it. That unspoken
  607. 21:02tension filling the room—even
  608. 21:03thinking about it now, I think it was
  609. 21:06truly unique. And as for what we did in
  610. 21:08practice, we would reduce our positions
  611. 21:10. In other words, we reduced the amount
  612. 21:12we were betting. We would reduce
  613. 21:14everything, including both long and
  614. 21:15short positions. The reason we reduced
  615. 21:17positions before an FOMC is that we
  616. 21:19never knew which way the results would
  617. 21:21go. The ironclad rule in the
  618. 21:22professional world is never to bet big
  619. 21:23on something you don’t understand. If
  620. 21:25you reached the day of the event
  621. 21:27without reducing, your seniors would
  622. 21:28get genuinely angry. They’d get
  623. 21:30really mad, asking if you knew what day
  624. 21:32it was tomorrow; even if you didn't
  625. 21:34reduce your position and actually made
  626. 21:36a profit, you’d still get scolded. It
  627. 21:38was a world where you weren't praised
  628. 21:39for being right, as they'd just say it
  629. 21:41was pure luck. So, you’d shrink your
  630. 21:43positions and just wait intently. That
  631. 21:45time spent waiting with smaller
  632. 21:46positions is indescribable. I had done
  633. 21:48everything I could. It felt like
  634. 21:50waiting for exam results, just left to
  635. 21:52see the outcome. I’d self-assessed
  636. 21:54and felt confident, but it was out of
  637. 21:56my hands. I’d even worry about silly
  638. 21:57things, like whether I had forgotten to
  639. 21:59write my name on the answer sheet. This
  640. 22:01is what I did every single time during
  641. 22:03the eight FOMC meetings held each year.
  642. 22:05Even now, I wonder how my heart managed
  643. 22:07to hold up. And this part is a bit
  644. 22:09strange, even to me. I’ve graduated
  645. 22:11from being an institutional investor,
  646. 22:13and there are no seniors to yell at me
  647. 22:15to reduce my positions. I don’t have
  648. 22:17to report to anyone, and there are no
  649. 22:18meetings the next morning. Yet, I still
  650. 22:21watch the FOMC live even now. When the
  651. 22:24US is on daylight saving time, the FOMC
  652. 22:26results are announced at 3:00 AM Japan
  653. 22:29time. Every time, I set my alarm for
  654. 22:31this hour, wake up, and sit in front of
  655. 22:33my screen. Since it's 4:00 AM when they
  656. 22:35aren't on daylight saving time,
  657. 22:37thinking 3:00 AM is better already
  658. 22:39shows my sense of normalcy is gone, but
  659. 22:41honestly, this is physically quite
  660. 22:43tough. What's more, a battle begins in
  661. 22:45my bed every single time. Another
  662. 22:47version of myself appears in my head
  663. 22:49while I’m in bed, telling me I
  664. 22:51already know it’s a 0.25%rate hike,
  665. 22:53so why not just check it in the morning
  666. 22:55? So, it tells me to go back to sleep.
  667. 22:57Yet, I always end up getting up. Just
  668. 22:59before the announcement, there’s a
  669. 23:01moment where the stock price figures on
  670. 23:03the screen seem to freeze, and the
  671. 23:04second the numbers are released,
  672. 23:06everything moves at once. I really want
  673. 23:08to experience that moment live. In
  674. 23:09short, I'm still the type of person who
  675. 23:11wants to be standing on the starting
  676. 23:13line of the track meet. It’s like I
  677. 23:15don’t need to run, but I just want to
  678. 23:16hear the sound of the starting pistol
  679. 23:18with my own ears. And here’s the part
  680. 23:21I want you to hear: 30 minutes after
  681. 23:23the FOMC announcement—that's 3:30 AM
  682. 23:25Japan time—the Fed Chair’s press
  683. 23:28conference begins. In the second half
  684. 23:30of the conference, the Chair answers
  685. 23:32questions from reporters live. I watch
  686. 23:34that until the very end every time, too
  687. 23:36. So, what do you think I’m looking
  688. 23:38at? Actually, I’m watching the
  689. 23:41Chair’s face. I notice if they seem a
  690. 23:44bit stiff or nervous today, or if they
  691. 23:46seemed to struggle with a certain
  692. 23:47question, or when they occasionally
  693. 23:49stumble over their words, and in those
  694. 23:51moments, I find myself rooting for them
  695. 23:53in my heart. But that’s strange,
  696. 23:55isn’t it? Cheering on the head of the
  697. 23:58world's most influential central bank
  698. 24:00from my sofa in Japan—it’s
  699. 24:01completely patronizing. And I don’t
  700. 24:04have any authority at all. I’m just a
  701. 24:06person who happens to be awake late at
  702. 24:07night. When I was an active
  703. 24:09institutional investor, I would reduce
  704. 24:11my positions and wait for the results
  705. 24:12like I was waiting for school entrance
  706. 24:14exam results, going through emotional
  707. 24:16ups and downs. But now, I act like an
  708. 24:18observer, thinking things like, "You
  709. 24:20spoke well today," and it really is
  710. 24:22quite strange. However, the moment I
  711. 24:24stop feeling nervous is when things are
  712. 24:26most dangerous. When you've been
  713. 24:27trading for a long time, you gradually
  714. 24:29get used to it. Getting used to it
  715. 24:31isn't entirely bad, but the market
  716. 24:33tends to bite back precisely when you
  717. 24:35think it won't be a big deal this time
  718. 24:37either. The reason I keep waking up at
  719. 24:393:00 AM is probably because I don't
  720. 24:41want to completely let go of that
  721. 24:42excitement I felt as an elementary
  722. 24:44schooler. It’s a bit embarrassing to
  723. 24:46talk about my elementary school days
  724. 24:48when I’ve aged so much since then.
  725. 24:50Thank you very much for watching until
  726. 24:52the very end.

About this transcript

This page contains the full transcript of 事態が急変しました...。海外機関投資家の不穏の動きにより今後日本株にとんでもないことが起こるかもしれません by イケガミ投資塾【メガバンク出身】, generated from the public captions YouTube serves with the video. The transcript has 4,735 words across 726 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 translate the transcript into 100+ languages.

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, translation to 100+ languages, AI prompts for ChatGPT, Claude, and Gemini, and exports to TXT, SRT, VTT, or Markdown.