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
Full transcript
- 0:00Hello, everyone. I am Yukigami. I’d
- 0:03like to start with one question: why
- 0:05are stock prices rising in this
- 0:07environment? I’m sure many of you
- 0:10have wondered this; we only hear about
- 0:12high prices and inflation, and the wars
- 0:14around the world haven't ended. Wages
- 0:18aren't going up either. Yet, for some
- 0:20reason, the market keeps trending
- 0:21upward. Especially those who study
- 0:24fundamentals—that is, corporate
- 0:26performance and actual economic
- 0:27conditions—have likely felt
- 0:29frustrated, wondering why the market
- 0:31moves in ways that defy reality. I
- 0:34believe this point is very important.
- 0:36That frustration isn't because your
- 0:38analysis is wrong. The reality is that
- 0:41the main drivers of price movement are
- 0:43no longer human. It’s simply that
- 0:45automated trading, such as algorithmic
- 0:47trading, is what moves the market. Some
- 0:50of you might think that if machines are
- 0:52driving it, there’s nothing
- 0:54individual investors can do. Honestly,
- 0:57this way of thinking is half right and
- 0:59half wrong. It is true that as long as
- 1:01machines are in control, humans trying
- 1:03to compete with emotions or rules of
- 1:05thumb are at a disadvantage. However,
- 1:08machines have their own fixed habits.
- 1:10If you understand those habits, you can
- 1:13actually ride them effectively and
- 1:14still secure significant profits as an
- 1:16individual investor. Today, I want to
- 1:19clarify the true nature of this gap
- 1:21between reality and stock prices, and
- 1:24how to follow it, using concrete
- 1:26numbers to explain it down to the last
- 1:28detail. Let’s look at some U.S. data,
- 1:31specifically consumer sentiment—the
- 1:33public's mood regarding the economy.
- 1:35This has fallen to its most pessimistic
- 1:38level in the past 74 years. Looking
- 1:40back at history, every time consumer
- 1:42sentiment has plummeted this sharply,
- 1:44it has led to an economic recession.
- 1:47Without exception. Logically, it
- 1:48wouldn’t be strange for this to
- 1:50eventually impact corporate earnings.
- 1:52However, while ordinary people are
- 1:54suffering, stock prices are not
- 1:56crashing. Even with the war surrounding
- 1:58Iran, there is no evidence that the
- 2:00economy has improved compared to before
- 2:02the conflict. Yet, as a matter of fact,
- 2:04stock prices are higher than they were
- 2:06before the war. You might say it can be
- 2:07explained to some extent by claiming
- 2:09that stock prices reflect the future.
- 2:11But honestly, there are so many times
- 2:12when the market moves seem to go too
- 2:14far, aren't there? I personally used to
- 2:16make decisions in the investment
- 2:17banking division of a mega-bank by
- 2:19looking at both fundamentals and
- 2:21technicals, but lately, it's clear that
- 2:23technicals are working more often. At
- 2:25least, that’s the impression I have.
- 2:27However, this isn’t just a gut
- 2:29feeling; it’s actually because the
- 2:30market participants themselves have
- 2:32changed. The important thing is that
- 2:34once you understand the true nature of
- 2:36this shift, you can to some extent
- 2:38anticipate which way the market will
- 2:40move next. So, in this video, I will
- 2:42explain what exactly is creating this
- 2:44gap between reality and stock prices,
- 2:46and how we individual investors can
- 2:48build profits by following these market
- 2:50participants. I will break it down
- 2:52using specific conditions and figures,
- 2:54so please make sure to watch until the
- 2:56end. Once again, I am Ikegami. I spent
- 2:59a long time fighting on the front lines
- 3:01in the investment banking division of a
- 3:03mega-bank. On this channel, I share
- 3:06information that will help with your
- 3:08investments based on that experience,
- 3:10so please be sure to subscribe. The
- 3:13biggest disadvantage for individual
- 3:15investors in Japan is actually the
- 3:17order in which information arrives.
- 3:20When I was in the investment banking
- 3:21division, I always kept a professional
- 3:23"QUICK" terminal on my desk where I
- 3:25could see it. A QUICK terminal is a
- 3:28device that provides stock prices,
- 3:30futures, options, forex, and bond
- 3:32prices, as well as the latest news, far
- 3:34faster than the general public. In
- 3:36Japan, these are widely used by
- 3:38securities firms, banks, asset
- 3:40management firms, insurance companies,
- 3:42and pension funds. Simply put, it’s
- 3:44impossible for those who see
- 3:45information later to win against those
- 3:47who see it first. By the time you see
- 3:49the news and think a stock is a buy,
- 3:51the institutional investors have
- 3:52already finished their trading. I’d
- 3:54like to introduce one typical example
- 3:56of this priority information. This is a
- 3:59report that was issued to clients by
- 4:00the investment banking division of the
- 4:02bank where I worked, and this is what
- 4:04it says. It states that while the rise
- 4:07in stock prices from the recent lows
- 4:09involved some short-covering, the main
- 4:11driving force was buying by CTAs. That
- 4:13is exactly what it says. I’ll break
- 4:15down two terms here. First is "short
- 4:17covering." This is when people who
- 4:19borrowed and sold stocks—that is,
- 4:21short sellers—buy back the shares to
- 4:23return them. For example, imagine you
- 4:26borrowed a game from a friend and sold
- 4:28it for 10,000 yen. To return the game
- 4:30later, you would have to buy that same
- 4:32game back from somewhere. Stock trading
- 4:35is the same; investors who shorted a
- 4:37stock expecting a drop must eventually
- 4:39buy it back to return it. So, if the
- 4:42price starts to rise, short sellers
- 4:44fearing further losses will scramble to
- 4:47buy back the stock. This buying
- 4:49activity can push the price even higher
- 4:51, leading to a surge that fuels further
- 4:54gains. However, it's important to note
- 4:56that they aren't buying because they
- 4:58actually want the stock. Since they are
- 5:01buying purely out of necessity to
- 5:02return borrowed shares, the buying
- 5:04pressure fades once the repurchasing
- 5:06concludes. In other words, a rise
- 5:09caused by short covering is not driven
- 5:11by an increase in investors who want
- 5:13the stock, but by a temporary price
- 5:15jump due to repurchasing. The other
- 5:18term is today's main topic: CTAs. Many
- 5:21of you have likely heard this
- 5:23three-letter acronym for the first time
- 5:25. Formally, it’s translated as "
- 5:27Commodity Trading Advisor," but the
- 5:29Japanese translation is quite confusing
- 5:31. Because it includes the word "
- 5:33commodity," people might think they
- 5:34only trade things like soybeans or corn
- 5:36. But in reality, that's completely
- 5:38wrong. Today's CTAs are massive
- 5:40investment funds that use computer
- 5:42programs to fully automate the trading
- 5:45of global stocks, bonds, and currencies
- 5:47. It’s enough to understand that only
- 5:50the name has remained from the past.
- 5:52The most important point here is that
- 5:54humans aren't making any of the
- 5:55decisions. Usually, when you hear "fund
- 5:58manager," you imagine a smart
- 6:00professional in a suit reading
- 6:02financial reports, meeting CEOs, and
- 6:04deciding that a company will grow.
- 6:07That’s likely the image you have.
- 6:08Back when I was at a bank, that was
- 6:10basically how our investment operations
- 6:12worked too. However, CTAs have none of
- 6:14that process. They don't read corporate
- 6:16financial statements. They don't meet
- 6:18with CEOs. They don't even look at
- 6:20economic news, naturally. All they look
- 6:22at is price movement on a chart. If it
- 6:24starts to rise, they buy; if it starts
- 6:26to fall, they sell. To put it extremely
- 6:28, that is their only basis for judgment
- 6:30. To use a more familiar analogy, it's
- 6:32like a self-driving car that only
- 6:34watches the brake lights of the car in
- 6:36front. If the car in front accelerates,
- 6:39it accelerates; if it slows down, it
- 6:42slows down. It doesn't see what's
- 6:43happening further down the road. So, as
- 6:45long as traffic is smooth, it drives
- 6:48with surprising accuracy. But you can
- 6:50imagine what happens when the car in
- 6:52front stops suddenly. What's scary is
- 6:56that there are hundreds of these
- 6:57self-driving cars globally, all running
- 6:59on the same program. One car is just a
- 7:02margin of error, but they all watch the
- 7:04same brake lights, hit the gas at the
- 7:06same time, and lift off at the same
- 7:08time. This leads to the point I’ll
- 7:10discuss later: machines making the same
- 7:12mistake all at once. From an investor's
- 7:14perspective, it sums up like this. They
- 7:16don't read the news. They only read
- 7:18charts. They are huge buyers and, at
- 7:20the same time, huge sellers. This means
- 7:23even when you're up at night watching
- 7:25the news and bracing for a market
- 7:26collapse, if the chart is pointing up,
- 7:28the machines will keep buying
- 7:30indifferently. Conversely, no matter
- 7:32how good the news is, the moment the
- 7:34chart turns downward, the machines will
- 7:36sell without mercy. These guys are
- 7:37usually the culprits on days when the
- 7:39news and stock prices don't align. This
- 7:41fact is truly important. In other words
- 7:44, CTAs do not take into account war,
- 7:46the economy, or corporate earnings at
- 7:48all. Machines automatically trade
- 7:51stocks by looking only at signals from
- 7:53charts, but the scale of CTA trading is
- 7:55staggering; according to a report
- 7:57Goldman Sachs released to clients on
- 7:59April 14, 2026, they have been buying
- 8:01up roughly 100 billion dollars in
- 8:03global stocks per week. In Japanese yen
- 8:05, that’s about 15 trillion yen. And
- 8:07that amount is increasing every year.
- 8:09Naturally, the capital inflow this year
- 8:11is the largest in history. In other
- 8:13words, the recent rise in stock prices
- 8:15may not be due to an improving economy
- 8:17or a resolution to the war, but simply
- 8:18because machines have been buying at a
- 8:20scale tens of thousands of times larger
- 8:22than humans. That is the background.
- 8:25Next, I will peel back the layers to
- 8:27see what those machines are looking at
- 8:29when they pull the trigger. This next
- 8:31part is very important, so I definitely
- 8:34want you to watch it. Many of you are
- 8:36likely investing monthly in the Nikkei
- 8:39225, S&P 500, or All Country World
- 8:41Index through NISA. In reality, the
- 8:43price of your investments is also being
- 8:45determined by the order buttons of
- 8:46machines on the other side of the globe
- 8:48. Thinking of it that way, it’s a
- 8:50waste to remain ignorant of their rules
- 8:52. CTAs use a strategy called trend
- 8:55following. They buy more when a market
- 8:57starts to rise, and sell more when it
- 8:59starts to fall. That is all there is to
- 9:01it. It rises, so they buy. They buy, so
- 9:04it rises. They simply ride the trend
- 9:06for all it is worth. By the way, retail
- 9:08investors who mindlessly flock to
- 9:10stocks just by watching price movements
- 9:12are sometimes ironically called "
- 9:14momentum chimpanzees," or "mome-chin"
- 9:16for short. In that sense, CTAs are the
- 9:19machine version of a "mome-chin."
- 9:21However, if you just laugh this off,
- 9:23you might lose out. This "mome-chin"
- 9:26strategy. It tends to be dismissed by
- 9:28both individuals and institutions, yet
- 9:30there are heaps of papers supporting
- 9:32its effectiveness. A famous 2017 paper
- 9:35even used long-term data dating back to
- 9:371880 to prove that trend-following
- 9:39strategies have shown attractive
- 9:41performance over the long term.
- 9:44Furthermore, a 2024 paper concludes
- 9:46that the more unstable the market, the
- 9:48more likely investors are to ignore
- 9:50fundamentals and rely on price
- 9:52movements, or momentum. It means that
- 9:54in times of uncertainty, humans become
- 9:56more like machines. So, what conditions
- 9:59are those machines programmed with?
- 10:01While the actual figures vary slightly
- 10:03by fund, various research and model
- 10:05analyses show they largely boil down to
- 10:08three main rules. The first one is the
- 10:11moving average. For example, the 5-day
- 10:13moving average and the 25-day moving
- 10:15average. There are investors who
- 10:17mechanically place buy orders when
- 10:18these form a golden cross. To begin
- 10:20with, a moving average is simply a line
- 10:22connecting the average stock price over
- 10:24the past several days. For example, if
- 10:26your test scores are 80 today, 50
- 10:28yesterday, and 90 before that, it's
- 10:31hard to tell if your performance is
- 10:33improving or declining. By calculating
- 10:37the average of the last five tests, you
- 10:39can see the overall trend without being
- 10:41distracted by temporary fluctuations in
- 10:44scores. A moving average is the same;
- 10:47by looking at the average over a
- 10:48certain period rather than daily prices
- 10:50, it becomes easier to grasp the
- 10:52broader direction of the stock. This is
- 10:54used by combining short-term,
- 10:55medium-term, and long-term periods to
- 10:57execute trades. From an investor's
- 10:59perspective, since the dates when these
- 11:00lines cross can be calculated and
- 11:02predicted in advance, the machines '
- 11:03order dates are somewhat readable. The
- 11:05second factor is short-term returns.
- 11:07The more positive the recent
- 11:09performance, the greater the automatic
- 11:10buying pressure becomes. The reverse is
- 11:12also true; the more negative it becomes
- 11:14, the more selling pressure increases.
- 11:16The third factor is the breakout. This
- 11:18is a mechanism that automatically buys
- 11:20once a stock exceeds a pre-determined
- 11:21high price. Human sentiment doesn't
- 11:23matter at all. The key price levels are
- 11:25not just numbers, they act as switches.
- 11:27In short, if the market crashes, the
- 11:29crowd of momentum traders will all
- 11:30switch to a wait-and-see stance
- 11:32simultaneously. As long as it doesn't
- 11:33crash, the higher it goes, the stronger
- 11:35the buying power becomes. This is
- 11:37extremely important. Some of you might
- 11:39wonder if they can really move the
- 11:40market at such a scale. However, it is
- 11:43entirely possible. CTA industry trading
- 11:45has ballooned to an unimaginable scale,
- 11:48from $ 40 billion in the year 2000 to
- 11:50about $ 100 billion per week by 2026.
- 11:53Furthermore, they use leverage with
- 11:55futures. Leverage is a mechanism that
- 11:57allows you to trade many times more
- 11:58than the capital you have on hand.
- 12:00It’s the same concept as a mortgage
- 12:01where you buy a house with just a down
- 12:02payment. That is why the actual
- 12:04position size becomes several times
- 12:05larger than the managed assets. While
- 12:07the fact that they use leverage is
- 12:09important, there is something even more
- 12:11shocking that is not widely known.
- 12:15Looking at the daily breakdown of the
- 12:17US stock market, roughly one-quarter of
- 12:19the total is retail investors, another
- 12:22quarter is human institutional
- 12:23investors, and the remaining half—the
- 12:26majority—consists of trades
- 12:27determined by machines. Among those,
- 12:31HFT accounts for an overwhelmingly high
- 12:34number of trades. HFT stands for
- 12:36High-Frequency Trading; simply put, it
- 12:38is a process where computers, not
- 12:40humans, repeatedly buy and sell stocks
- 12:42in the blink of an eye. For example,
- 12:44suppose Company A's stock is selling
- 12:46for 100 yen, and on another market,
- 12:48there is someone willing to buy it for
- 12:50100.1 yen. A human might not even
- 12:52notice such a tiny difference. But HFT
- 12:55computers instantly spot these slight
- 12:57price gaps, buying at 100 yen and
- 13:00selling at 100.1 yen. They repeat this
- 13:03one, ten, or a hundred times over a
- 13:05very short period. In other words, HFT
- 13:08doesn't aim for a large profit on a
- 13:10single trade, but rather builds up
- 13:12small gains through repeated
- 13:14transactions. Because of this, the
- 13:16number of trades HFT performs in the
- 13:17market is extremely high. However, this
- 13:20is the most important point for
- 13:21beginners. Just because HFT is trading
- 13:23a large volume doesn't mean a large
- 13:25number of investors are buying that
- 13:27stock. Once they buy at 100 yen and
- 13:29sell at 100.1 yen, they immediately
- 13:31move on to the next trade. The volume
- 13:34is inflated because they aren't holding
- 13:36onto what they buy, but are repeatedly
- 13:38buying and selling in a short timeframe
- 13:40. Therefore, even if HFT trading volume
- 13:42increases when stock prices are rising,
- 13:44it doesn't necessarily mean they are
- 13:46buying the stock for the long term.
- 13:48This is a key point to keep in mind
- 13:50when institutional investors look at
- 13:52HFT. On the other hand, the CTA—the "
- 13:54machine" investment group—tends to
- 13:56move almost in unison at similar times,
- 13:58even if each fund's settings are
- 14:00slightly different. That is why their
- 14:02concentrated, directional capital is on
- 14:04a completely different scale, and it is
- 14:06said that their influence on prices is
- 14:08actually the greatest. Needless to say,
- 14:10they are completely unaware of the
- 14:11current situation in Iran or the war in
- 14:13Ukraine, nor do they know that Japan's
- 14:15real wages are negative. It means they
- 14:17are determining global stock prices
- 14:18without even knowing it. That's just
- 14:20the kind of place the market is; it
- 14:22keeps running despite all these
- 14:24inconsistencies. Now, here is my own
- 14:26perspective. For those of you in the
- 14:29Japanese market, this mechanical Nikkei
- 14:32is much more intuitive than looking at
- 14:34the US S&P 500. This is because CTAs
- 14:37are running the exact same rules in the
- 14:39Nikkei 225 futures, a market with some
- 14:42of the world's highest liquidity.
- 14:44Because of this, there is one line I am
- 14:47drawing right now. That is the Nikkei
- 14:50225 at 60,000 yen. This is not just a
- 14:52nice round number. I see it as a price
- 14:56range where the three rules I explained
- 14:58earlier—moving averages, recent
- 15:00returns, and high-price breakouts—all
- 15:03converge. In other words, as long as it
- 15:05stays above 60,000 yen, the machines
- 15:07will continue to buy. However, the
- 15:09moment it falls below 60,000 yen, those
- 15:11same machines will all flip to selling
- 15:13at once. It means the ally that was
- 15:15supporting the price turns into a
- 15:16weapon against it. This asymmetry is
- 15:18what is truly terrifying. It means that
- 15:21once the market starts to fall, the
- 15:23machines provide zero support. When I
- 15:25was an institutional investor, I often
- 15:27saw buy orders vanish from the board
- 15:29the moment a key level was broken, but
- 15:32that wasn't humans fleeing; it was just
- 15:34the machines stopping their orders. Now
- 15:36, let me talk about the opposite side
- 15:38as well. This year, the US midterm
- 15:40elections are on November 3rd. Past
- 15:43data shows a tendency for the market to
- 15:46start rising about 22 trading days
- 15:48before the election, and this year,
- 15:50that date is October 2nd. To summarize,
- 15:53it looks like this. If the Nikkei
- 15:55maintains 60,000 yen after October 2nd,
- 15:58seasonality and mechanical buying will
- 16:00align in the same direction. Conversely
- 16:02, if it falls below 60,000 yen, a
- 16:04moment will come where all the machines
- 16:06are wrong at the same time. I will
- 16:07summarize this from an investor's
- 16:09perspective. Until the US midterm
- 16:11elections, you only need to watch this
- 16:13one line: the Nikkei 225 at 60,000 yen.
- 16:16Of course, this number may fluctuate
- 16:18slightly. But having the focus narrowed
- 16:21down to just one line to watch is a
- 16:22significant advantage in itself. And
- 16:25this next point is the most important
- 16:27part of this video. You might be
- 16:29thinking, wouldn't it be more
- 16:31profitable to just follow the charts
- 16:33and stop worrying about fundamentals?
- 16:35To be honest, that is true in some
- 16:37cases. Looking at last year's example,
- 16:39the momentum sell signal flashed at the
- 16:41start of the Trump tariff shock, and
- 16:42stock prices plummeted afterward. Then,
- 16:45it flashed a buy signal just after
- 16:47passing the bottom. And it was spot on.
- 16:49However, we must think about this
- 16:51calmly. Changes in momentum only tell
- 16:54us where the money is flowing at this
- 16:56very moment. Whether the economy is
- 16:58collapsing or a war is escalating
- 17:00behind the scenes, the charts won't
- 17:02tell us anything. To put it extremely,
- 17:04momentum traders will keep buying as
- 17:05long as the chart points up, even if
- 17:07there's a war or a recession is right
- 17:09around the corner. That is why they are
- 17:11incredibly powerful when a trend is in
- 17:13progress. But their weakness is that
- 17:15the moment a trend reverses, the entire
- 17:17momentum crowd gets it wrong at the
- 17:19same time. Furthermore, the momentum
- 17:21crowd accelerates the movement in both
- 17:23rising and falling markets. This causes
- 17:26stock prices to move far beyond the
- 17:28fair value indicated by fundamentals.
- 17:30Fair value refers to the inherently
- 17:32appropriate price based on a company's
- 17:34earnings. Think of it like the list
- 17:35price at a supermarket. Machines will
- 17:37keep lining up at the register even if
- 17:39the price is list price or half off.
- 17:41Therefore, only those who can judge
- 17:43whether a stock is oversold or
- 17:44overbought based on performance can
- 17:46take advantage of the machines'
- 17:48excesses. If you only look at the
- 17:49charts, you won't have a basis to buy
- 17:51while a stock is clearly falling. Since
- 17:53your reasoning is weak, you may end up
- 17:55missing the bottom while frozen in
- 17:57inaction. Conversely, if you only look
- 17:59at fundamentals, you might keep saying
- 18:01the stock price is wrong and fail to
- 18:02ride the uptrend. I will summarize the
- 18:05conclusion in 30 seconds. What moves
- 18:07stock prices is not the economy, but
- 18:08machines that only read charts. Those
- 18:10machines turn from friend to foe at the
- 18:13boundary of a specific Nikkei 225 level
- 18:15after October 2nd, ahead of the US
- 18:18midterm elections. That is why we
- 18:20investors should adopt a dual-wielding
- 18:22approach: riding the momentum while
- 18:24securing an escape route using
- 18:25fundamentals. Just knowing that this "
- 18:27Momichin Corps" exists allows you to
- 18:29stay calm and not panic when faced with
- 18:31strange market movements that news
- 18:33reports cannot explain. That alone is a
- 18:35truly huge advantage. Finally, I would
- 18:38like to ask you all a question. With
- 18:40the midterm elections approaching on
- 18:42November 3rd, will the machines
- 18:44continue to press the accelerator at
- 18:46the 60,000 yen mark, or will everyone
- 18:48hit the brake and accelerator by
- 18:49mistake at the same time? Which would
- 18:51you bet on right now? I hope this video
- 18:54gives you an opportunity to think about
- 18:56that answer. From here on, it’s a bit
- 19:00of casual chat, so please relax and
- 19:02listen. I explained that it isn't
- 19:04humans moving the stock prices this
- 19:06time, but there is an event where just
- 19:08one single person moves the markets
- 19:10across the entire world. That event
- 19:12isn't earnings reports, nor is it key
- 19:14economic indicators like the employment
- 19:16statistics; for me, it’s the FOMC,
- 19:18and the main star is the Fed Chair. The
- 19:20FOMC is the meeting that determines US
- 19:22monetary policy, held eight times a
- 19:24year. In Japan, it would be equivalent
- 19:26to the Bank of Japan's Monetary Policy
- 19:28Meeting. It is here that interest rate
- 19:30decisions are made, causing stock
- 19:32prices and currencies around the world
- 19:33to move in unison. When I was an
- 19:35institutional investor at a bank, from
- 19:37the day before the FOMC, I wouldn't go
- 19:39as far as saying I couldn't work, but I
- 19:42was always restless and something in my
- 19:44mind was always uneasy. From around the
- 19:46evening, I would think over and over
- 19:48again, "Is it the FOMC tonight?" That
- 19:50feeling resembles something, and I’ve
- 19:52been thinking about what it might be; I
- 19:54think it’s like the feeling of lying
- 19:56in bed the night before an elementary
- 19:57school sports day. It's that unique
- 20:00sensation where your eyes stay wide
- 20:01open, thinking about whether you'll run
- 20:03well tomorrow or hoping to do your best
- 20:05in the relay. Actually, when I was
- 20:07little, I was a bit good at running,
- 20:09and in elementary school, I was always
- 20:11a relay runner for my class. That’s
- 20:13why every year, I could never really
- 20:15sleep on the night before the sports
- 20:17day. Even after growing up, wearing a
- 20:18suit, and being in a position to move
- 20:20hundreds of millions or billions of
- 20:22dollars at a bank, what I feel the
- 20:23night before the FOMC is almost the
- 20:25same as when I was in elementary school
- 20:27. I find that quite interesting, if I
- 20:29do say so myself. Well, the difference
- 20:31might be that if you stumble in a relay
- 20:32race, you can just laugh it off, but if
- 20:34you stumble at an FOMC, your boss’s
- 20:36face will be a different color the next
- 20:38morning. What’s interesting is that I
- 20:40wasn’t the only one feeling restless.
- 20:43The entire investment banking division
- 20:45at the bank where I worked would have a
- 20:47change in atmosphere right before an
- 20:49FOMC. We were usually chatting, but
- 20:51everyone would go quiet. Even voices on
- 20:53the phone would get a little lower. No
- 20:55one would say, "The FOMC is coming up,"
- 20:57but you could tell everyone was
- 20:59thinking about it. That unspoken
- 21:02tension filling the room—even
- 21:03thinking about it now, I think it was
- 21:06truly unique. And as for what we did in
- 21:08practice, we would reduce our positions
- 21:10. In other words, we reduced the amount
- 21:12we were betting. We would reduce
- 21:14everything, including both long and
- 21:15short positions. The reason we reduced
- 21:17positions before an FOMC is that we
- 21:19never knew which way the results would
- 21:21go. The ironclad rule in the
- 21:22professional world is never to bet big
- 21:23on something you don’t understand. If
- 21:25you reached the day of the event
- 21:27without reducing, your seniors would
- 21:28get genuinely angry. They’d get
- 21:30really mad, asking if you knew what day
- 21:32it was tomorrow; even if you didn't
- 21:34reduce your position and actually made
- 21:36a profit, you’d still get scolded. It
- 21:38was a world where you weren't praised
- 21:39for being right, as they'd just say it
- 21:41was pure luck. So, you’d shrink your
- 21:43positions and just wait intently. That
- 21:45time spent waiting with smaller
- 21:46positions is indescribable. I had done
- 21:48everything I could. It felt like
- 21:50waiting for exam results, just left to
- 21:52see the outcome. I’d self-assessed
- 21:54and felt confident, but it was out of
- 21:56my hands. I’d even worry about silly
- 21:57things, like whether I had forgotten to
- 21:59write my name on the answer sheet. This
- 22:01is what I did every single time during
- 22:03the eight FOMC meetings held each year.
- 22:05Even now, I wonder how my heart managed
- 22:07to hold up. And this part is a bit
- 22:09strange, even to me. I’ve graduated
- 22:11from being an institutional investor,
- 22:13and there are no seniors to yell at me
- 22:15to reduce my positions. I don’t have
- 22:17to report to anyone, and there are no
- 22:18meetings the next morning. Yet, I still
- 22:21watch the FOMC live even now. When the
- 22:24US is on daylight saving time, the FOMC
- 22:26results are announced at 3:00 AM Japan
- 22:29time. Every time, I set my alarm for
- 22:31this hour, wake up, and sit in front of
- 22:33my screen. Since it's 4:00 AM when they
- 22:35aren't on daylight saving time,
- 22:37thinking 3:00 AM is better already
- 22:39shows my sense of normalcy is gone, but
- 22:41honestly, this is physically quite
- 22:43tough. What's more, a battle begins in
- 22:45my bed every single time. Another
- 22:47version of myself appears in my head
- 22:49while I’m in bed, telling me I
- 22:51already know it’s a 0.25%rate hike,
- 22:53so why not just check it in the morning
- 22:55? So, it tells me to go back to sleep.
- 22:57Yet, I always end up getting up. Just
- 22:59before the announcement, there’s a
- 23:01moment where the stock price figures on
- 23:03the screen seem to freeze, and the
- 23:04second the numbers are released,
- 23:06everything moves at once. I really want
- 23:08to experience that moment live. In
- 23:09short, I'm still the type of person who
- 23:11wants to be standing on the starting
- 23:13line of the track meet. It’s like I
- 23:15don’t need to run, but I just want to
- 23:16hear the sound of the starting pistol
- 23:18with my own ears. And here’s the part
- 23:21I want you to hear: 30 minutes after
- 23:23the FOMC announcement—that's 3:30 AM
- 23:25Japan time—the Fed Chair’s press
- 23:28conference begins. In the second half
- 23:30of the conference, the Chair answers
- 23:32questions from reporters live. I watch
- 23:34that until the very end every time, too
- 23:36. So, what do you think I’m looking
- 23:38at? Actually, I’m watching the
- 23:41Chair’s face. I notice if they seem a
- 23:44bit stiff or nervous today, or if they
- 23:46seemed to struggle with a certain
- 23:47question, or when they occasionally
- 23:49stumble over their words, and in those
- 23:51moments, I find myself rooting for them
- 23:53in my heart. But that’s strange,
- 23:55isn’t it? Cheering on the head of the
- 23:58world's most influential central bank
- 24:00from my sofa in Japan—it’s
- 24:01completely patronizing. And I don’t
- 24:04have any authority at all. I’m just a
- 24:06person who happens to be awake late at
- 24:07night. When I was an active
- 24:09institutional investor, I would reduce
- 24:11my positions and wait for the results
- 24:12like I was waiting for school entrance
- 24:14exam results, going through emotional
- 24:16ups and downs. But now, I act like an
- 24:18observer, thinking things like, "You
- 24:20spoke well today," and it really is
- 24:22quite strange. However, the moment I
- 24:24stop feeling nervous is when things are
- 24:26most dangerous. When you've been
- 24:27trading for a long time, you gradually
- 24:29get used to it. Getting used to it
- 24:31isn't entirely bad, but the market
- 24:33tends to bite back precisely when you
- 24:35think it won't be a big deal this time
- 24:37either. The reason I keep waking up at
- 24:393:00 AM is probably because I don't
- 24:41want to completely let go of that
- 24:42excitement I felt as an elementary
- 24:44schooler. It’s a bit embarrassing to
- 24:46talk about my elementary school days
- 24:48when I’ve aged so much since then.
- 24:50Thank you very much for watching until
- 24:52the very end.
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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.
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