Personal Power

 Personal Power – Anthony Robbins

1

Goals for success

  1. Get a clear idea of what you want out something. (most people have no idea what they want)
  2. Decide to action and take steps to achieve that goal (most people procrastinate)
  3. Notice whether its working, flexibility is power (are you getting closer or further?)
  4. Try something else until it is working 
Use role modelling to accelerate the pace of this process.  Trial and error is not an efficient process to success.  Find someone and understand the things that make them successful, both knowledge and mental condition.

Success Journal

2 actions 

  1. you have been putting off, that if you took now would immediately change the quality of your life (big or small).  Decide to action on them immediately.  Check in tomorrow if you did it.
    1. Read my journal
    2. Ab Workout

Everyone driven by avoid pain, desire to gain pleasure.  When you procrastinate you’re trying to avoid pain (of failure, the process of doing it) than the pleasure of achieving your goal.  You’re wired to avoid pain and your brain will do whatever possible to fight you. 

4 actions, instead of 2.  

  1. What is the pain you associate with each action that makes you procrastinate?
    1. could be simple as time
  2. What is all the pleasure you have gotten by not following through?
    1. ie what is the pleasure of still eating a lot and not dieting
  3. What is the cost if you don’t change? (2 – 5 years, self esteem, financial, relationships) And how will it make you feel?
  4. What will you gain by taking this action right now?

The Trading Game – Gary Stevenson

The Trading Game (Gary Stevenson)

– Highlight Loc. 303-4 
| Added on Thursday, April 11, 2024, 08:27 AM

 

Something that I’d started to see at LSE. The confidence of
a man who wins, not just today, but tomorrow. That of a man who knows that he
can’t lose. Somehow, even at that early stage when I knew nothing of anything
of trading, I felt it was destined for me.

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The Trading Game (Gary Stevenson)

– Highlight Loc. 316-34 
| Added on Thursday, April 11, 2024, 08:30 AM

 

The betting system is mainly what made the game a “trading
game,” because it was designed to mimic the way that traders make bets in the
markets: “price-making” and “price-taking” using “two-way markets.” Let me
quickly outline how trading happens in financial markets. A big customer—like a
pension fund or a hedge fund or a big corporation—wants to buy, or sell,
something. It could be anything really, but in this example let’s assume they
want to buy ten million British pounds in exchange for US dollars. In general,
they do not call up a bank and say, “Hi there, I want to buy ten million
British pounds in exchange for USD.” They don’t do this for two reasons: If the
trader knows you want to buy British pounds, he’s probably going to try and
push the price of pounds up. If the trader knows you want to buy British
pounds, he could even go out into the market and quickly buy loads of pounds,
in the hope of pushing the market price up before selling them to you at that
higher price. This is called “frontrunning” and is, in many cases, illegal, but
it happens a lot. To be clear, if you are a customer, you don’t want to tell
the trader that you want to buy before you actually get the chance to buy. To
avoid this, you say “Hi, give me a price on ten million pounds.” When you say
this, the trader (in theory) won’t know whether you want to buy or sell. The
convention then is that he has to give you two prices—one at which you can buy
and one at which you can sell. This is known as a “two-way price” and is the
way that almost all large financial markets work. If you think about it, you
see something similar when you approach the foreign exchange counter at an
airport: it will have one price at which they buy pounds in exchange for
dollars, and another price at which they sell pounds in exchange for dollars.
The price at which they buy is, of course, always much lower than the price at
which they are selling. That is how foreign exchange counters make their money.
Traders do exactly the same thing.

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The Trading Game (Gary Stevenson)

– Highlight Loc. 368-78 
| Added on Thursday, April 11, 2024, 08:34 AM

 

Now this game was only a maths game, but it does tell you a
few things about markets: Individual traders don’t set the price. Just because
you think something is worth 60, you don’t offer to buy it at 59 if everyone
else is selling it at 50. If other people are selling it at 50, the highest you
should possibly quote is 50–52. There is no point offering to buy at 51 if
someone is out there selling at 50. This shows something interesting about
markets, which is that an individual trader shouldn’t quote what they think
something is worth, but rather what everyone else thinks is the price. Because
of this, if you ask ten different traders for a price, you shouldn’t get ten
different prices: they should all converge on a similar price. This will be
true even if the ten different traders have totally different views about what
the price should actually be. If another guy looks like he knows what he’s
doing and is making a load of money, and you have no clue what you are doing,
then maybe you should just copy that guy. Point 3 is the main driving force in
most financial markets.

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The Trading Game (Gary Stevenson)

– Highlight Loc. 408-23 
| Added on Thursday, April 11, 2024, 08:39 AM

 

My strategy would have to be totally different for this
round. Everyone here had played in the first round and done well enough to go
through. They should have been good enough to realize that it’s nonsensical to
quote prices that diverged from the others on the table. That meant there would
be no easy money to be made simply by buying low and selling high between
different players. That fact, however—that players would realize the
foolishness of quoting far apart from one another—created new opportunities.
Through my relentless practice games, I had realized that most players
demonstrated a rigid willingness to stick closely to the prices being quoted
around them, diverging only slightly. They did this largely by ear, listening
out for the prices being quoted, so as to keep their own prices nearby. This
presented an opportunity to manipulate the prices being quoted by others simply
by quoting prices myself, very loudly. The game operated in a free-for-all
style (much like real markets), and if prices were being made around the 62–64
level, loudly quoting 58–60 enough times would often bring the price down to
about there. Another opportunity to set the price level would be by immediately
quoting a price, again loudly, at the beginning of the game. This presented a
new, potentially profitable, strategy. If I had a high card, I would begin the
game by calling out a low price. This is a relatively simple bluff—indicating
that I have a low card, to bring the overall price down, so that I can then go
on to buy at a low level from a variety of players, since everyone has stuck to
my initial low price. The risk of this, of course, would be that other
participants would realize I was bluffing, simply buy from me at a low price,
and continue trading at a high price. I was counting here on that relatively
simple message that had been taught to me some weeks before by my friend Sagar
Malde: rich people expect poor people to be stupid.

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The Trading Game (Gary Stevenson)

– Highlight Loc. 425-35 
| Added on Thursday, April 11, 2024, 08:41 AM

 

Here I was relying on another piece of information that I
had gleaned from the LSE players: most of these guys were not counting on
winning the tournament, but were hoping to use the final as a networking
opportunity. Given this, most players could be trusted upon to employ a
relatively simplistic strategy—quote slightly higher than the average if they
had a high card, slightly lower if they had a low one. Some might quote a
neutral price so as not to reveal information, but that was rare. Very few would
ever bluff. Remember, these guys are economics students, they’re not poker
players. The key takeaway here is that economists nowadays are ultimately
mathematicians, not great thinkers or game players. The other students were
playing through calculators, and while they were playing through their
calculators, I was guiding their ears, and reading their eyes. Start with a
loud bluff, then rapidly assess every other player’s intelligence, level of
complexity, and likely card. Once that was established, I’d decide whether I
wanted to buy (bet the total would be high) or sell (bet the total would be
low). If I was a buyer, I guided the price down by loudly quoting low prices,
while actively buying from other players at that low level. If I was a seller,
I did the opposite.

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The Trading Game (Gary Stevenson)

– Highlight Loc. 440-44 
| Added on Thursday, April 11, 2024, 08:43 AM

 

The cards came round and mine was a -10. This is a good
card. The -10 is the furthest card from the average, which means it has the
most power to change the total of the game. But of course, it’s only of value
if other people don’t realize you’ve got it. Otherwise, they’ll immediately
start lowering their own prices, and you’ll have no way to profit from it. This
is another general rule of trading: you don’t necessarily make money by being
right, but by being right when others are wrong. I

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The Trading Game (Gary Stevenson)

– Highlight Loc. 722-24 
| Added on Thursday, April 11, 2024, 08:53 AM

 

that the ideal strategy depended on the level of player
against which one was playing; that weak players could be beaten with simple
arbitrage; that the more complex players in the game were still generally
uncomfortable with bluffing and could be thrown off by aggressive loudness.

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The Trading Game (Gary Stevenson)

– Highlight Loc. 982-85 
| Added on Thursday, April 11, 2024, 09:00 AM

 

So what’s the big deal with a book? The big deal with a book
is, when you run a book in a currency, all the customers and all the trades in
that currency come directly to you. Why’s that good? Well, remember what we
learned from the trading game. Anyone can ask anyone for a price

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The Trading Game (Gary Stevenson)

– Highlight Loc. 990 
| Added on Thursday, April 11, 2024, 09:01 AM

 

 

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The Trading Game (Gary Stevenson)

– Highlight Loc. 985-91 
| Added on Thursday, April 11, 2024, 09:02 AM

 

at any time, and that person has to make a price with a
“two-point-spread.” For example, 67–69, meaning “I will buy at 67 or I will
sell at 69.” Now imagine there’s a bunch of outside customers in that game who
are willing to trade on a bigger spread: for example, the four-point spread
66–70, meaning “I will buy at 66 or I will sell at 70.” That’s a little bit how
real markets work. If that were to happen, then you could, say, buy from those
outside customers at 66, and then immediately turn around and sell what you
bought for 67, securing an immediate and guaranteed profit of 1. If you were
willing to hold on to the risk for a little bit longer, you might even find
someone willing to pay 68 or 69, potentially doubling or trebling your profit.
That’s what “getting a book” means. It means access to customers who are
willing to trade at worse than market prices, and that means nearly guaranteed
profit for you

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The Trading Game (Gary Stevenson)

– Highlight Loc. 1447-63 
| Added on Thursday, April 11, 2024, 09:12 AM

 

An FX swap is, quite simply, a loan. In more detail, it’s a
collateralized loan. Think of it like this: you go to the pawn shop, you give
them your gold watch, and they lend you £200. This is also a collateralized
loan. You have received a loan of £200, and you’ve lent the pawn shop your gold
watch as “collateral.” “Collateral,” in this case, means simply a security you
give to the lender, which they can keep if you don’t repay the loan. That makes
the loan much less risky. This loan is, in a sense, also, a “swap.” The lender
has given you money for a period of time, and you have given the lender, for
the same period of time, your gold watch. Then you both give it back, so it’s a
swap, isn’t it? It’s a “cash-for-gold-watch” swap. An FX swap is exactly like
that, except, as collateral, instead of giving a gold watch, you give foreign
currency. You borrow £200 and, as collateral, you give an equivalent amount of
euros, which, at today’s exchange rate, would be €232. That’s a collateralized
loan, and it’s also a “currency-for-currency” swap: an “FX swap.” This raises a
question though. When you go to a pawn shop, you are the one who pays interest,
not the pawnbroker, because you are the one borrowing money. But in an FX swap,
you are both borrowing money—one of you borrows pounds, the other borrows
euros—so who pays interest? The answer is simple: you both do! One of you pays
the interest rate for pounds, which, at that time, hovered around 4.5%, and the
other pays the interest rate for euros, 3.5%, give or take. Those cancel out,
don’t they, and, in the end, the borrower of pounds, which has the higher
interest rate, pays the difference, about 1%, to the borrower of euros. So who
uses these things? Well, basically, everyone. For any investment fund, hedge
fund or corporation with incomes in one currency and investments in another, FX
swaps are the go-to product. That could be The Gap opening a sweatshop in
Bangladesh, or your grandad’s pension fund buying Japanese stocks. All of that
stuff is foreign exchange swaps. By daily volume traded, they are one of the
biggest financial products in the world.

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The Trading Game (Gary Stevenson)

– Highlight Loc. 1584-95 
| Added on Thursday, April 11, 2024, 09:21 AM

 

Well, at that time, pretty much every major bank in the
whole world, but especially in America, went bankrupt. As a result, banks
stopped lending to each other, for two simple reasons: You probably shouldn’t
lend someone money if they are about to go bankrupt. You probably shouldn’t
lend someone money if you are about to go bankrupt. These are good rules for
life. Write them down. Now, if nobody’s making loans, then loans become
expensive, and, as I’ve explained to you, an FX swap is, basically, a loan. Not
only is it a loan, but it’s a collateralized loan, which means you don’t make a
huge loss if your borrower goes bankrupt, and, when the whole world is on the
verge of bankruptcy, these are the only loans you are able to make. We were the
only game in town. The way that we saw this happening was that all the spreads
blew up. Remember the spreads in the trading game? 67–69?
I-buy-at-67-and-I-sell-at-69? Well imagine if suddenly that’s 47–89, and you’ve
got people trading with you regularly on both sides. As soon as you get one
buyer and seller, that’s a guaranteed profit of 42, when you used to be playing
with 2’s. Welcome to the buffet, eat as much as you can.

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The Trading Game (Gary Stevenson)

– Highlight Loc. 1625-30 
| Added on Thursday, April 11, 2024, 09:24 AM

 

Well, what Bill was doing it turns out, was this. Bill had
been skeptical about the global economy for some time. He didn’t believe you
could run an economy simply by lending money to dickheads and he could see
global debts going up. He had long suspected the math-genius-credit-traders to
be the spoiled rich idiots that, in hindsight, they probably were, and he’d
been expecting their shit to blow up. The problem was, he had been a little bit
early, and he’d been betting on this blow-up for years. This had probably cost
him a few million dollars in PnL in each of the previous three years, which
explained both why he had not, thus far, been particularly profitable for
Citibank, and why Rupert thought that he was an idiot.

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The Trading Game (Gary Stevenson)

– Bookmark Loc. 1631 
| Added on Thursday, April 11, 2024, 09:24 AM

 

 

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The Trading Game (Gary Stevenson)

– Highlight Loc. 1631-52 
| Added on Thursday, April 11, 2024, 09:26 AM

 

What Billy had actually been doing was that he had been
betting that different kinds of interest rates would diverge. OK, imagine this:
imagine you need to borrow money for three months. What do you do? Well, you go
to your bank or your mum or the mafia or whoever it is you go to to get your
loans and you ask for a loan for three months, right? Simple. But if you’re a
big bank or an investment fund or a corporation, there’s another thing that you
can do. If you’re a big institution like that, then you could call a big,
institutional lender, like Citibank, and you could ask for a loan for only one
day. OK, you’re thinking, that doesn’t fix the problem, because I need money
for three months, not one day. Well, that’s no big problem, actually. When the
loan comes due, tomorrow, you go back to another big lender, maybe Deutsche
Bank this time, and you borrow the money again for a day. Now you’re good for
two days. Do that every day for three months, and you’re laughing. Basically,
if you want to borrow money for three months, you have a couple options—you can
take one loan for three months, or you can take ninety separate loans each for
one single day. So which do you choose? Which would you prefer? You are
probably thinking, I’d rather take the three months because then I can have it
all sorted and know the whole interest rate in advance. But in the
international money markets, you can easily arrange ninety single-day loans in
advance as well, so in both cases, you can fix your interest rates in advance.
The correct answer is that if you are the borrower, you prefer the ninety-day
loan, and if you are the lender, you prefer the single-day loans. The reason
for this is that if you lend someone money for ninety days, and they go
bankrupt on day twenty-five, you are fucked, but if you only lent them money
for one day, you are not. And if you are a borrower, and you borrow money for
one day, and on day twenty-five people realize you’re going bankrupt, you are
fucked, whereas if you borrowed money for ninety days, then you might have a
chance. Of course, before 2008, none of this mattered, because banks didn’t go
bankrupt back then. But in 2008, that all changed. The ninety-day lending
market totally evaporated, whereas the one-day lending market remained
virtually unchanged. Little gray Billy was the only guy in the whole City, it
seemed, who realized that was going to happen. He’d been betting on it
happening for years. When it happened, he made tens of million dollars in a
single week, and much more than that after that, too. Turns out, when he had
been saying the global economy was going to blow up, it had not been a turn of
phrase, after all. He was right, after years of being laughed at.

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The Trading Game (Gary Stevenson)

– Highlight Loc. 1684-89 
| Added on Thursday, April 11, 2024, 09:29 AM

 

“Why’s everybody lending dollars? Why’s nobody borrowing
dollars?” Spengler looked at me like I was an idiot. “Why the fuck would we
borrow US dollars? Borrowing US dollars is fucking retarded.” I tried to strike
a pose with my face that made me look like I wasn’t “retarded.” But it must not
have cut the mustard because Spengler let out a deep sigh and opened his
spreadsheet. “Look, what’s the interest rate for dollars right now? It’s 1
percent, right? And it’s going down to 0 percent. But look what interest rate
we can get in the FX swap.” He started to fiddle some numbers around in the
corner of the sheet. “We’re getting over 3 percent. It’s free money.”

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The Trading Game (Gary Stevenson)

– Highlight Loc. 1694-97 
| Added on Thursday, April 11, 2024, 09:30 AM

 

An FX swap is a loan. It’s a two-way loan where both people
borrow one currency from one another. They both pay interest, which means, in
the end, only one person pays the interest differential. If pounds are 3% and
dollars are 2%, then the pound borrower pays the difference, which would be 1%.

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The Trading Game (Gary Stevenson)

– Highlight Loc. 1716-19 
| Added on Thursday, April 11, 2024, 09:32 AM

 

The very, very short-term FX swaps, the one-day ones, were
free: the price was effectively zero. But for anything longer than a couple of
weeks or a month there was a really huge premium for borrowing US dollars. This
created an equally huge opportunity for FX swap traders to lend dollars for
three months at a time, and then just borrow them back every day. It was, as
Spengler explained to me, free money.

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The Trading Game (Gary Stevenson)

– Highlight Loc. 1751-56 
| Added on Thursday, April 11, 2024, 09:34 AM

 

“Good fucking answer, why the fuck did you do it if you
don’t know what the fucking risks are?” “I did it because you’re doing it,
Bill.” And Bill smiled at that. “Good fucking answer again. Well, I’ll tell you
why I’m doing it. I’m doing it because the world needs US fucking dollars and
we’re fucking Citibank, and we’re the biggest American bank in the whole
fucking world and we’ve got the dollars and they don’t fuckin have them, so
we’ll charge them whatever we want, and we’re all gonna get paid. OK?

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The Trading Game (Gary Stevenson)

– Highlight Loc. 1757-65 
| Added on Thursday, April 11, 2024, 09:35 AM

 

“And now I’m gonna tell you something even more important,
right? Don’t you ever fucking tell me, in your whole fucking life, that there’s
a trade that doesn’t have a fucking risk in it. OK? That’s what those cunts
over in Credit thought and look what the fuck happened to them. And I’m gonna
tell you one last thing, the most important thing of all of it, and then you’re
gonna fuck off and sit back in your corner. This trade will blow up, and we’ll
all lose our fuckin arses, in one situation. The trade will blow up if the
global banking system collapses. And if that happens, this whole place goes
under. You’ll lose your job, and I’ll lose my job, and the whole global economy
comes down with it. We’re betting that’s not going to happen. And we’re gonna
be right, right? And we’re gonna get paid. And then we’re all gonna go and have
a good few drinks afterward, and now you’re gonna do it as well. And you should
probably go back to your seat now and have a good long think about what all of
that means. And you make sure it’s the last fucking time you ever do a trade
that you don’t know the risks of. It’s a good fucking trade though Gal. Well
fucking done.”

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The Trading Game (Gary Stevenson)

– Highlight Loc. 2498-2513 
| Added on Thursday, April 11, 2024, 11:10 PM

 

Now as you know, the trading story thus far has been simple:
we lent dollars out long term, using FX swaps, and we borrowed the dollars back
every day. That was a very reliable earner. But good trades are like oranges,
even the best ones will run out of juice. In the aftermath of 2008, everybody
needed dollars. Nobody had them and we did, so we made a ton of money. But that
money does not last forever. It didn’t take long before central banks all over
the world realized that a lack of available dollars to borrow was risking the
bankruptcy of banking systems worldwide, and relatively quickly the US Federal
Reserve started to lend US dollars to central banks in other countries. They
did that through FX swaps, the exact same product that we were trading on the
desk. The international central banks who borrowed those dollars lent them on
to the commercial banks in their respective countries, and before long, what
was once a life-threatening desperation for US dollars became merely an
impending need. That cut into our margins. Not only that, but over the course
of 2009 governments and central banks the world over lent so much cheap money,
and bought so many of the banking system’s bad assets, that it started to
become clearer and clearer that the banking system wasn’t going to blow up. On
one hand, that was great. That was exactly what we had been betting on and it
meant that our bets all paid off. It was one of the reasons that I, like
everyone else in STIRT trading, made so much money in 2009. On the other hand,
it was bad. It meant the gravy train was no longer running. As the global need
for dollars became less and less urgent, and it became more and more obvious
that the global banking system would survive, more and more traders and banks
entered the game of lending dollars, and what was once an extremely lucrative
business started to become less and less profitable. No longer could we lend
dollars out at 2 percent and borrow them back at zero. We’d be lucky to get 1
percent.

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The Trading Game (Gary Stevenson)

– Highlight Loc. 2557-89 
| Added on Thursday, April 11, 2024, 11:14 PM

 

When you lend a currency, you are betting that the interest
rate will go down. The way it works is this: when you get a loan, you go to the
bank and you ask for a loan for, let’s say, the next five years. Now, at this
point in time, the bank does not actually know what the market interest is
going to be over the next five years. That is because the interest rate is set
every single month by the Central Bank, and your bank does not at this point
know what they are going to do. Your bank will then come to someone like us,
the traders, the risk takers, and ask us to take the risk, the gamble, on what
the interest rate is going to be. At that time, at the beginning of 2010,
interest rates all over the world, including in the UK, were pretty much 0%.
But everyone thought (incorrectly) that they were going to go up. Let’s say
that the traders think rates will go up gradually over the next five years from
0% to 5%, meaning the average rate over the period will be 2.5%. They might
offer to lend your bank money at 2.55%, who will turn round and lend you money
at 2.8%. Everyone’s taking their little bit of cut. But once the trader has
promised to lend your bank money at 2.55%, in what situation does he make
money? The answer is that the trader makes money if interest rates go up less
than expected. If rates don’t actually go up, but stay at 0%, the trader—who
has agreed to lend money at 2.55%—can ultimately fund your five-year, 2.8%
mortgage by borrowing cash every day at 0%. He makes himself the 2.55%, and
your bank takes its 0.25% cut. Magic—free money! Of course, it’s never really
free money. If rates were to go up much quicker than expected—say for example
up to 5% instantly and then staying there for the whole five years—the trader
could be stuck funding his 2.55% loan at 5%, and taking the hit. The lesson
here is that lending money is betting that rates will stay low. And when do
rates stay low? In general, they stay low if the economy is weak. This is
because of the way that central banks set rates. They cut rates when they think
that the economy is weak, and they raise them when they think that the economy
is strengthening or inflation is overheating. They cut rates to try and get you
to spend money, and they raise them to try and get you to stop. This is why
Bill didn’t lend everything. Economies are very connected: they tend to be
strong or weak at the same time. If US rates stayed low, that meant the US
economy was weak, which meant the UK and European economies would probably also
be weak, which meant that UK and European rates would also stay low. Lending
dollars, and lending pounds and lending euros were, to some degree, the same
trade. Or, rather, they were highly correlated trades. If you did all those
trades together, you might think that you have three different trades. In
reality you kind of have the same trade three times. This is what Bill called
“pig on pork.” Billy never had “pig on pork.” Bill built palaces of culinary
balance. First, he would start with his favorite trade, the best trade in the
market at the time. That’s the base of the palace. Then Bill would ask himself,
what’s the risk to this trade? As an example, Bill knew that the risk to
lending dollars was further collapse in the global banking system. He would
then look at all the trades that would do well if the banking system collapsed,
and pick which one of them was likely to do well even if the banking system
didn’t collapse. He’d add that trade to his portfolio, and then he’d make money
either way. He’d continue building his portfolio up like this. What real-world
situation is a risk to my bundle of trades? What good trades are there that
would do really well in that scenario? In that way he built up a palace of
trades in which every risk was covered. That’s why Billy always made money. Whatever
tragedy struck, whatever the shock to the system, Bill had some sort of ace to
cover it. He seemed to make money whatever way. Doing this was not easy. I
tried to do it, but you needed to know everything about everything. I couldn’t
do it. I couldn’t be Bill.

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The Trading Game (Gary Stevenson)

– Highlight Loc. 2698-2711 
| Added on Thursday, April 11, 2024, 11:19 PM

 

FX swaps get quoted as a “left” and a “right” price, rather
than a “buy” and a “sell” price. That’s because in both cases you are lending
one currency and borrowing another, so there’s not really a “buy” and a “sell.”
In US Dollar/Swiss Franc FX swaps, the left-hand side was the lending of
dollars and the borrowing of francs. There were no left-hand sides. That meant
nobody wanted to lend dollars. I had lent an awful lot of dollars and, over
time, would need to borrow them back. Morley had moved his screen down to minus
forty-five. I refreshed my PnL again. It was now minus $600K. That was more
than I’d ever lost in a day. Much more. “Morley, what the fuck’s going on?”
Another long pause. At least it felt long to me. “All right mate, mate, I think
I’ve worked it out. The SNB’s put something up on their website. Something
about a trade in the three months. Here, I’ll send you a link on the IB chat.”
IB chat is like an internet messaging service for dickheads. The message popped
up on my screen and I clicked the link. The link took me, as promised, to the
Swiss National Bank’s website. It was a simple, clean, minimalist page, with a
short paragraph of text written at first in, presumably, Swiss-German and then
in English. In the bottom corner was the SNB’s simple, clean, minimalist logo.
The English said something along the lines of, “The Swiss National Bank will be
offering Swiss francs via the three-month USDCHF FX swap at a rate of minus 35.
For transactions, please call this number.” I

==========

The Trading Game (Gary Stevenson)

– Highlight Loc. 2728-43 
| Added on Thursday, April 11, 2024, 11:21 PM

 

Negative 4.5% is a very low interest rate. No country has
ever had negative 4.5% interest rates before. No country has ever had them
since. I pulled a piece of paper from my desk drawer. Important maths like this
has to be done by hand. When I lent the dollars out, and borrowed the francs,
the expected interest rate on both had been pretty much zero. But I was still
getting about 1.1% premium on the dollars. Remember it’s the differential that
matters—I’ve lent dollars out for 1.1% MORE than I’ve borrowed the francs. To
cover the trade, I need to borrow those dollars back (and lend those francs
back out) at a lower differential. I make money if the dollar interest rate
goes down (as of course, it always did) or if the Swiss rate went up. OK, let’s
be optimistic. Let’s assume that I can borrow the dollars back at zero, like
I’d expected. What does it mean if I need to lend the Swiss out at minus 4.5?
That’s a differential of 4.5%. I got in at 1.1, so I’m losing 3.4. I had, at
that point, something equivalent to about 1.2 billion dollars in the one-year
trade. Losing 3.4% on 1.2 billion dollars of one year, that was…$40,800,000.
That was the most I could lose on the trade, realistically. Yeah, that would be
bad though. That would be really bad. You might be thinking, “Well, just call
the SNB back and get the fuck out of the trade,” but if you think that, you
don’t understand what’s happening. I’ve lent dollars and borrowed francs, and
the SNB are offering to borrow dollars and lend francs, at a much much cheaper rate
than I ever paid to borrow them. In unlimited size. I can’t get out of the
trade with them. They’re trying to do the same trade that I need to do. At the
moment, there’s no left-hand sides in the market. I can’t get out of the trade
with anyone.

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The Trading Game (Gary Stevenson)

– Highlight Loc. 2769-77 
| Added on Thursday, April 11, 2024, 11:24 PM

 

“They haven’t done anything to the overnight market. We can
still place Swiss francs at 0 percent. Even if the three-month market stays at
negative four and a half, we can just roll them down and lend them out every
day.” “I wanna do some.” That was Snoopy. Snoopy was in. “What if they cut the
overnight rate?” “There’s no way. They can’t cut the overnight rate to negative
4.5. The banking system would collapse.” “I’m in.” That was JB. He was still
eating a toothpick. With that he turned back to his screens. Chuck was still
thinking. He didn’t look at me and he thought for a long time. “OK. You can do
it. Good luck.” So Snoopy was in, JB was in, I was in. I had about twenty times
as much as anyone else. Billy wasn’t in.

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The Trading Game (Gary Stevenson)

– Highlight Loc. 2778-2801 
| Added on Thursday, April 11, 2024, 11:26 PM

 

So what the fuck was happening here? The Swiss National Bank
were taking action to protect their currency. Not to stop their currency from
going down, but to stop it from going up. If your currency goes up everything
gets too expensive for foreigners. Your exports become non-competitive and your
exporting businesses can struggle. The SNB had already brought their official
interest rate down to zero and they wanted to try something flash. For some
reason, and I’ll never know the real reason, they chose this crazy move in the
FX swap market. Lending Swiss francs for minus 4.5% in the three-month FX swap
is basically cutting the interest rate on three-month loans to minus 4.5%. But
they were still accepting daily deposits from commercial banks at 0%. This seemingly
created an opportunity for “arb.” Arbitrage is when you can do a set of
different trades that cancel each other out and make a free profit at the end.
In this case, you borrow a load of dollars, at 1% or whatever, exchange them
for Swiss francs with the SNB at a 4.5% differential, and then leave the Swiss
francs with the SNB every day for 0%. That leaves you with 3.5%. The problem
with arbitrage is that it’s almost never risk free. If it was risk free, then
it wouldn’t exist. Someone would do it and keep doing it until the prices moved
back into line and all the profits disappeared. The second problem is that arb
requires you to do a lot of different trades, and on the STIRT desk we were
only allowed to do the FX swaps. We weren’t allowed to just go out and borrow
dollars, we weren’t allowed to lend francs to the SNB. Trades like that were
managed on another desk. So I had to just do the FX swaps for longer periods,
like three months and one year, and hope that I could lend the Swiss francs out
every day, for a day at a time, at zero. Hopefully other traders, who were
actually able to actually leave the francs with the SNB for 0, would pay me
something close to zero for them. The risk to that trade was so obvious that
even Chuck had noticed it. What if the SNB were to slash the rate that they
paid on overnight deposits of Swiss francs? They had already done something
totally mental to the three-month FX swap market—what if they were to do
something crazy to the daily interest rate too? The reason that I gave to Chuck
was that it would cause the banking system to collapse. My logic behind it was
this: Minus 4.5% is an extremely negative rate. If the SNB were to force Swiss
Commercial banks to pay 4.5% on all their Swiss franc deposits, the banks would
have to pass that on to customers. But there was no way customers would accept
taking a 4.5% annual cut from all of their savings. They’d take all their cash
out of the banks. If everyone takes their money out of the bank simultaneously,
it causes a bank run. The banking system would collapse. At least I hoped it
would. Otherwise I was gonna be fucked.

==========

The Trading Game (Gary Stevenson)

– Highlight Loc. 2834-41 
| Added on Thursday, April 11, 2024, 11:28 PM

 

put his hand on my shoulder and said, “That was senior
management. You know what it means.” “Yeah. I know what it means.” Chuck kept
his hand on my shoulder when he said, “I know that you’ll learn from this.” It
took me two days to close the trade out. By the end I was down 4.2. And then
the fucker came all the way back. — So what’s the lesson here? Is there a
lesson? There’s always a lesson. The lesson is that Snoopy was wrong. The price
now and the price at the end are not the only two things that matter. You must
also be there at the end. The trade was good. It was the right trade. Snoopy
and JB didn’t get stopped out and they both made a ton of money on it.

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The Trading Game (Gary Stevenson)

– Highlight Loc. 2843-55 
| Added on Thursday, April 11, 2024, 11:29 PM

 

Having the right trade is not all that matters. It’s also
important that you survive. Every trader has a pain threshold. Every trader has
an amount they can lose. You could have the best trade in the world, but if you
hit your pain threshold, it doesn’t matter, you’ll lose all your cash. The
lesson, then, is never hit your pain threshold. And since that trade, I never
have done. Every time you put a trade on, you must ask yourself: What is the
worst possible thing that can happen to this trade in between now and me being
right? Is that realistic? Am I lying to myself? Could it go a lot more? Take
your worst-case scenario, and double it. Me, I know what I’m like. When a trade
kicks my arse, I’m gonna do more. If it kicks my arse more I will do more
again. I don’t know why I’m like that. Maybe because fuck you that’s why. All I
know is if a trade’s gonna fuck me then I’m gonna fuck the trade back and I’ll
keep fucking it until I win. But if I’m gonna do that, then sure as hell I had
better be able to afford it. And sure as hell I had better be right in the end.
Two rules for life: Be right in the end. Be alive at the end. Write them down.

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The Trading Game (Gary Stevenson)

– Highlight Loc. 2898-2920 
| Added on Thursday, April 11, 2024, 11:32 PM

 

Why had the SNB acted as they had? Was the minus 4.5% rate
sustainable? Were the FX swap prices really arbable? I stuffed my old textbooks
into my work bag, and in the afternoons when trading slowed down, into the
evenings when everyone had gone home, I would read through them while sitting
on the desk. That lasted for two days. Billy did not accept the third day. I
was deep into a chapter on the mathematical nuances of forward interest-rate
parity when the book was slapped powerfully from between my hands, straight
into the bin at my feet. In its place was thrust a perfectly round, frosty
white-tipped, deep-red Liverpudlian face. “What the fuck are you fucking doing
you fuckin cunt!? How old are you mate!?!” Billy swore a lot, but he wasn’t
usually so red when he did it. I had to think for a moment because I hadn’t
been in the mental space for taking personal questions. “Erm…I’m twenty-three.”
“So why the fuck are you in here reading fuckin books mate? Does this look like
fuckin Jackanory!?” Bill was standing but bent ninety degrees at the waist like
a maniac, and he gestured wildly toward the trading floor with his left hand. I
wasn’t sure if I was supposed to look round, but I decided that it was probably
best not to. “No. It doesn’t.” Bill sighed and placed both of his hands deep
into his white hair then wiped them all the way down his red face. He looked
tired. He sat down. “Listen, you’re not a fuckin kid anymore. I know you’ve
lost a lot of fuckin money. But you’re not gonna find a penny of it there in them
books. You wanna know what’s happening in the world, you go take a fucking look
at the world. You wanna know what’s happening in the economy? It’s fucked. And
you can see it everywhere you fucking go mate. Go take a walk down the high
street. See all the fucking shops closed down. See the fucking homeless people
under the fuckin bridge. Go look at the ads on the tube. Debt relief, home
equity release, debt relief. People losing their fucking homes just to pay for
the kids. Go home and ask your mum about her financial situation. Ask your
friends. Ask your friends’ mums. The time for books is fucking over mate.
You’re not a fucking kid. You’re here now. You’re in the big leagues. Look at
the world with your fucking eyes.” And that was it. The most important thing I
ever heard. —

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The Trading Game (Gary Stevenson)

– Highlight Loc. 3047-3128 
| Added on Thursday, April 11, 2024, 11:41 PM

 

Titzy always thought that the market was right. Always. Just
like he always thought the textbooks were right. I think the guy had some sort
of deeply laid innate desire to believe in a kind of higher wisdom. To trust
that the guys upstairs had it under control. Bless him, his dad must have been
a nice guy. That was exactly what I wanted. I wanted a kid who read the
Financial Times in the morning and then spent the whole day on the phone to his
business school mates. Let me explain to you why. When I lost that eight
million dollars I realized something. You don’t become the best at anything by
copying people. I wasn’t going to get better than Bill by copying Bill. And I
wasn’t going to get better than Spengler by copying Spengler. Ultimately, when
the shit hit the fan, it took me out and nobody else. Billy and Spengler didn’t
come to save me. That’s what you get from copying people. Second-hand tactics,
second-hand skills. It’s not good enough. I needed something that was mine. And
when Bill slapped those textbooks out of my hand and into the bin, I realized
what it was. See, Billy was right about those textbooks. They were bullshit.
Textbooks are for kids. If you want to understand the real world, the time
comes when you have to go and look at it. That time had come for me. Rich
daddy. Private school. Princeton Finance Society. Citibank. Algebra. Calculus.
Lagrangians. Proofs. Most of those dicks on the trading floor, they’re still
living in their daddies’ pockets. They believed everything they read and sucked
up every word they got told. Why the fuck wouldn’t they? It gets everyone paid.
That’s why Billy beat them year after year. But when Billy threw my books in
the bin, there was something else. I could see it in his eyes. See, when we
were memorizing algebra in castles, and lining up in queues for Finance Society
events, little teenage Billy wasn’t doing that. He was sitting down behind a
sheet of glass, in the middle of buttfuck nowhere in Yorkshire somewhere,
handing out wads of cash to punters. He was a cashier. A checkout boy. Billy
never had those books. And I could see it then: Billy was jealous. — Now, I’m
going to tell you a secret about trading. Making money trading is not about
being right. It’s about being right when everyone’s wrong. Billy was right.
Billy was right year after year after year after year. But when did he make his
big money? He made his money when something happened that no one else had
foreseen, when the global banking system collapsed. When people are wrong,
their predictions are wrong. When people’s predictions are wrong, their prices
are wrong. And when prices are wrong, we make millions. The reason Billy was
right, year after year, when everyone else wasn’t, was because Billy knew that
the economy was a real thing. The economy is people, it’s houses, it’s
businesses, it’s loans. The rest of us had all been trained to see it as
numbers, and besides that, barely any of the traders knew a single person who
wasn’t rich, if you don’t count their cleaners. What did they know about the real
world? That was one advantage that both Billy and I had over them. We didn’t
have to strike up conversations with our cleaners. But I had something else,
too, something that Billy never had. Billy knew he was surrounded by idiots.
But I’d been inside the universities. I’d taken the courses. I’d memorized the
book. I’d seen the dark heart of the idiocy. I knew it. Its flavors. Its taste.
The best trading, you do it with your nose. It smells like stupidity. And back
then, at the beginning of 2011, the whole place was stinking of it. — See,
something happened in 2010 that I couldn’t get out of my head. Interest rates
stayed zero, all year. That probably means nothing to you. You saw interest
rates stay zero for nearly fifteen years. Zero interest rates were normal for
you. They weren’t normal back then. More importantly, they hadn’t been
predicted. In the beginning of 2010, everybody thought that interest rates
would go back up that year. Everyone had thought the same in 2009. But it
hadn’t happened. Everyone had been wrong, two years in a row. Why? Well I’ve
read the textbooks, just like Titzy, and every other pink-shirted dickhead on
Wall Street. Let me tell you the story they tell. Interest rates control the
economy. If you control the interest rates, you control the economy. We are
good at this. We have this well under control. Sometimes people lose confidence
and they stop spending money. When people stop spending money businesses lose
customers and they go out of business. That means that people lose their jobs,
and they spend even less money. That means more businesses shut down. That can
lead to a spiral of rapidly increasing unemployment and poverty. It can cause
your economy to collapse. That’s what happened in the Great Depression in the
1930s leading, ultimately, to fascism in Europe and the Second World War. That
could have happened again in 2008, but it didn’t because we’ve got it under
control. We know how to deal with this problem. When this happens, we cut
interest rates. Cutting interest rates is great because it makes saving less
attractive, and borrowing cheap, so people and businesses will save less, and
they’ll borrow and spend. This perfectly counteracts the root cause of the
problem—people stopping spending money. Through diligent management of interest
rates, a tweak here and a tweak there, we can always reach the
first-best-optimal-outcome-for-the-economy. The best of all possible worlds.
Back in 2008, economists were very confident in their ability to achieve this.
The previous two decades had seen a golden age of success for economists,
during which they successfully Conquered Inflation Ended Boom and Bust Achieved
Sustained Economic Growth All through the miracle of interest-rate management.
Given the generally accepted wonderfulness of the strategy, it is no surprise
that when the massive (and unforeseen) banking crisis of 2008 dropped, there
was uniform nodding of heads within the economist community that the correct
response was to slash interest rates. Interest rates were, accordingly, slashed
enormously. Whereas previously central bankers would do things like pruning
interest rates from 5.75% to 5.5%, suddenly they were slashing them from 5.5%
to zero. And this happened across the rich world. Everyone was very confident
it would work. I won’t bore you with the technical details, but slashing
interest rates is printing money. The way a central bank lowers interest rates
is that it prints a fuckton of money, and then it lends it out to banks
super-duper cheap. Everyone was very confident it would work. The level of
confidence in this plan is probably best summed up by a quote from Ben Bernanke
at about the same time. Ben Bernanke (ex-Princeton, ex-Harvard, ex-MIT) was at
that time the head of the US Federal Reserve, on paper the most powerful and
smartest economist in the world. Here’s what he said: “The US government has a
technology, called a printing press, that allows it to produce as many dollars
as it wishes at essentially no cost…Under a paper-money system, a determined
government can always generate higher spending.” Everyone was very confident it
would work. It didn’t work. — That’s why I wanted to sit next to Titzy Lazzari.
I wanted to sit next to Titzy Lazzari because Titzy was wrong. OK. This is not
about Titzy Lazzari personally, this is about the whole market. By the
beginning of 2011, it had started to become clear to me that the market was
wrong. Not just the market, but the economists, the universities, the fucking
Monetary Policy Committee in the Bank of England, the dickheads on the news,
the whole fucking shitshow. These fuckers had been wrong about everything.
Every single fucking thing since the day I showed up. When I showed up
everybody thought that the pink-shirt dickheads were one step down from God.
Next thing those guys blew the world up using nothing but mathematics, idiocy
and hubris. After that, every economist in the whole world had spent two and a
half years constantly predicting a recovery that never happened. One day I sat
down and looked through some historic interest-rate predictions. Every single
one was a mile too high. They were wrong about everything. We were wrong about
everything. I needed to know why. That’s why I needed Titzy. I needed to
measure the distance between the real economy and the universities, between the
real world and the markets. For that reason, I needed someone beside me who was
fresh out of university, fully plugged into the matrix. Someone who knew every
economic theory, who read every business paper. Someone whose friends were all fresh
out of business school, and whose father messaged him asking for stock trading
tips from a yacht. Someone whose silver suit was pumped full to bursting with
Kool-Aid. Yep, I needed Titzy. I needed Titzy because he was wrong.

==========

The Trading Game (Gary Stevenson)

– Highlight Loc. 3138-49 
| Added on Thursday, April 11, 2024, 11:43 PM

 

People lost their homes and their jobs. But those homes are
owned by new people now, and unemployment is coming down and inflation’s going
up. Now that the banking system is repaired, it’s only a matter of time before
the economy, and interest rates, bounce back. It’s an opinion, I guess. What
did Antonio Mancini, the wealthy, snakeskin-belted Oxford macroeconomics
professor think, when I asked him seven years later, in 2018? “We always knew
rates would stay zero! People had had a shock to their consumption-savings
preferences!” Well…It’s an opinion, I guess. JB used to have a saying about
opinions. “Opinions are like arseholes. Everyone’s got one.” I asked Harry
Sambhi. Harry was still just a kid. Harry had holes in his shoes and was
jumping over the barriers on the tube to save costs. That’s why he didn’t spend
money. I asked Asad. Asad said his mum had sold the family home to support him
and his sisters and now he was sleeping on the sofa to try and save up a
deposit. That’s why they didn’t spend money. I asked Aidan. Aidan’s mum had
lost her job and hadn’t been able to get a new rate on the mortgage. Now the
monthly payments were sky high, and Aidan was having to pay them himself.
That’s why they didn’t spend money. They were losing their homes. I hadn’t even
noticed.

==========

The Trading Game (Gary Stevenson)

– Highlight Loc. 3152-58 
| Added on Thursday, April 11, 2024, 11:43 PM

 

“Titzy. Do you think the reason no one is spending money is
because no one’s got any money?” “What the fuck are you talkin’ about, geeza?
How can no one have any money?” His accent is deeply Italian. “Geeza” is a new
word that he’s recently learned and he’s trying it out. “Well, you know, I been
askin’ people and that’s all they keep saying. ‘I don’t have no fuckin money.’
” “ ‘I don ava no fuckina money.’ ” Titzy tries to copy my accent and somehow
comes off sounding even more Italian. “Come on geeza. It’s a monetary system.
It’s not possible for no one to have any money. The whole thing has got to add
up.”

==========

The Trading Game (Gary Stevenson)

– Highlight Loc. 3179-93 
| Added on Thursday, April 11, 2024, 11:45 PM

 

I couldn’t get it out of my head. Not the collapse of
western welfare states, no, I wasn’t too worried about that. What I couldn’t
get out of my head was this sense of similarity. It was the same. The
government of Spain, the government of America, the government of Japan. The
situation was just like Asad’s mum, it was just like Aidan’s mum. Outgoings
more than their income. Losing the ability to borrow money. More and more
income going into servicing debt. Losing their assets. The situation was the
same. It wasn’t just Harry with holes in his shoes, it was the world. But it
came up against the economics though, Titzy’s wisdom. We’re in a monetary
system. The whole thing always has to be in balance. For everyone who’s in
debt, there’s someone who’s in credit. For everybody losing money, there’s
somebody who’s gaining. The whole system is designed to be in balance. Not only
that, but what about the houses? What about the stock market that was rising
and rising? These assets weren’t disappearing. But if we didn’t own them, if
the people didn’t own them, and the governments didn’t own them…Then who did?
And that was it, I think, that was the moment that it hit me, surrounded by
millionaires and sandwiches. I looked to the left of me. Pink shirt, pink
shirt, white, sky blue. I looked to the right of me. White shirt, white shirt,
pink, ooh, pinstripes, don’t see much of that nowadays. There, in string, sewn
into a collar, four letters: “A.I.E.Q.” Who the fuck’s surname begins with a Q?
Millionaires. Every single one of them. And me, too. What about me? I’d be a
millionaire, before long. It was us. It was us, wasn’t it? We were the balance.

==========

The Trading Game (Gary Stevenson)

– Highlight Loc. 3193-3225 
| Added on Thursday, April 11, 2024, 11:48 PM

 

We were the ones with the growing bank balances that
balanced the Italian’s debt. We were the ones receiving the interest on Aidan’s
mum’s mortgage, that Aidan himself was now having to pay, to us. And our
children. Maybe my children. Maybe they would own the house that Asad’s mum
sold. And the rent from that house, and the interest from the Italian
government: maybe our children could lend that back out to Asad’s own children,
and then we’d own the houses and the debt, as well. And it would grow, that’s
what compound interest does. We would use the money from the assets to buy the
rest of the assets. You’d sell your assets to us, to pay your mortgage, to pay
your rent. To pay it to us. That’s how it would go. It would get worse and
worse. It would grow, it would grow out of control. It wasn’t a crisis of
confidence. It wasn’t the fucking of the banking system. It wasn’t an
“exogenous shock to consumption savings preferences.” It was inequality.
Inequality that would grow and grow, and get worse and get worse until it
dominated and killed the economy that contained it. It wasn’t temporary, it was
terminal. It was the end of the economy. It was cancer. And I knew what that
meant. It meant I had to buy green Eurodollars. — A green Eurodollar is a bet.
A nice, clean bet on what American interest rates will be in two and a half
years’ time. None of this complicated “lend one currency borrow another”
bullshit that you get in FX swaps. None of this having to borrow the money back
every day. We are talking pure betting now. Casino stuff. We loved it. Billy
loved it, Snoopy loved it, I loved it. Our job was not supposed to be betting.
We were supposed to provide FX swaps to customers. But we were given access to
products like Eurodollars (and their equivalents in all the other currencies)
so that we could “hedge our risks.” We hedged a fucking lot of risks, often
risks we didn’t have. I was about to take the hedge of my life. See what I had
realized, at that moment, was exactly, precisely why we were all wrong. We had
been diagnosing a terminal cancer as a series of seasonal colds. We thought the
banking system was broken, but fixable. We thought confidence had collapsed,
but would recover. But what was really happening was that the wealth of the
middle class—of ordinary, hardworking families like Aidan’s and like Asad’s,
and also of almost all the world’s largest governments—was being sucked away
from them and into the hands of the rich. Ordinary families were losing their
assets and going into debt. So were governments. As ordinary families and
governments got poorer, and the rich got richer, that would increase flows of
interest, rent and profit from the middle class to the rich, compounding the
problem. The problem would not solve itself. In fact, it would accelerate, it
would get worse. The reason economists didn’t realize this is because almost no
economists look in their models at how wealth is distributed. They spend ten
years memorizing “representative agent” models—models that view the whole
economy as one single “average” or “representative” person. As a result, for
them the economy is only ever about averages, about aggregates. They ignore the
distribution. For them, it’s nothing more than an afterthought. Moralist window
dressing. Finally, my degree was useful for something after all. It showed me
exactly how everyone was wrong. If I was right, this was a big deal. It meant
that markets were horribly, horribly mispriced. The recovery would never happen
and the normalization of interest rates would never happen. At that point, the
beginning of 2011, markets were pricing nearly 6 full hikes of 0.25% each from
the US Federal Reserve in the following twelve months alone. They were going to
be wrong. Everyone was going to be wrong. Those rate hikes weren’t going to happen.
They would never happen. I would be able to make money off this year, after
year, after year, as the interest predictions got pushed back and back. These
idiots never even looked at inequality. It would be a decade before they caught
on, at least.

==========

The Trading Game (Gary Stevenson)

– Highlight Loc. 3256-78 
| Added on Thursday, April 11, 2024, 11:52 PM

 

They evacuated 154,000 people from the prefecture of
Fukushima and people thought the nuclear plant might blow up. That was good for
my position. Up three and a half million dollars. Up four and a half million
dollars. By a week in I was up six million and JB was absolutely choking. It
was hard to watch. Then I did something a little bit crazy which, as a trader,
I probably wouldn’t do nowadays. There was a sales guy on the floor on the desk
next to ours. I liked him. He was a nice guy, but he wasn’t the smartest. A
crisp, clean cut, nicely raised Englishman in his mid-forties. His name was
Stanley Palmer. One day, in the midst of the nuclear panic, Stanley Palmer went
crazy. He stood up, at 11 a.m., in the middle of the trading floor, and he
screamed out, “THE NUKE RODS ARE EXPOSED!!!” The words echoed around me as desk
juniors across the floor repeated them loudly to their own desks. Titzy stood
up beside me and shouted, “THE NUKE RODS ARE EXPOSED!!!,” his hands around his
mouth. There was a chaos of noise and activity as people ran back to their
seats and shouted at their brokers and each other. Stanley was still standing
and repeating the words, “THE NUKE RODS ARE EXPOSED!!! THE NUKE RODS ARE
EXPOSED!!!!” Titzy was echoing it like a clown. I told Titzy to shut the fuck
up. Titzy spread his hands real wide and shrugged wildly as if I was the mad
one. “Titzy, what the fuck is a nuke rod?” Titzy did that thing that Italians
do with their hands. I turned back to Stanley, he was still shouting and
shouting. What did I know about Stanley? I was pretty sure he had graduated
from Oxford. What was it he had studied? Was it History? Or was it Classics?
Could it have been PPE? “Titzy there’s no way. There’s no fucking way Stanley
knows what a nuke rod is.” Titzy wasn’t listening. He was deep in his screens.
JB was screaming down his broker lines. He was finally stopping out of his
position. I picked up the heavy brown telephone and I pressed the button to my
Eurodollar broker. I covered my mouth with my hand, and I sold a fucking ton of
Eurodollar futures. That flipped my whole position. I wasn’t betting on a
disaster any longer, I was betting on rates going up. You shouldn’t do that.
You shouldn’t flip your whole position on a feeling, on a whim. You shouldn’t
play God, you are not invincible. But what am I gonna tell you? I was
twenty-four years old and I did it. The nuclear plant never exploded. Thank
God. I made another five million on the way back up. The best trading, you do
it with your nose. It smells like stupidity.

==========

“Stocks are the trade?” “Stocks. They’re too high.” “What do
you mean stocks are too high?” “Look at them! They’re too fucking high! They’ve
barely fallen and the economy’s going to shit! They’ve got to go down.” I
turned away from JB and I picked up the pen again and I tapped it onto the bare
desk about twenty times. “JB, you don’t get it do you? It don’t work like that.
Stocks never go down. Stocks only go up. When the economy is good stocks go up,
and when the economy is shit, they print so much money stocks go up even more.
Same with fucking houses. Everything goes up. The asset holders never lose. The
rich never lose. The rich only win. Buy the fucking stocks mate. They’ll go to
the moon.

==========

Profiting from the Auction Process

 Profiting from the Auction Process

Ch2 – Timeframes

There is a buyer for every seller in all markets but who is holding the inventory matters.  In the housing market there was initially a close balance between the long time frame buyer and seller.  As markets heated up, imbalance developed between builders (sellers) who couldn’t meet demand.  Price began to auction higher.  With prices rising (advertising opportunity) more and more local builders entered to the market, building for contract / speculation.  Finally inexperienced individual investors were buying 2nd / 3rd houses w/ no money down hoping to flip them in 6 months.  Once the imbalance of demand shifted, the market became oversupplied w/ inventory being held by the shortest of timeframes.

Unlike housing market w/ slow moving inventories, securities markets enable extremely fast build up and liquidation of inventories which makes it difficult to assess market conditions.

Lack of continued large transactions / volume on breaks of values are likely to return to value and be characteristic of balanced markets

Ch4 – Auction and indicators

Art auction – auctioneer starts at some price, if he hears no bids, he drops until bids enter.  Then as bidders enter, the auction quickly increases beyond in the initial bid price.  Finally bidders drop out as price gets too high.  This is a 1 way auction and different than a continuous 2 way auction but similar ideas apply.

Normally as price goes higher demand / volume / speed of transactions will dwindle.  However there are times when higher prices have the opposite effect.  It serves to increase demand rather than shutting it off.  This type of action tells you the auction is far from complete.

Intitial balance (IB) is first 2 30min periods.  Range extension beyond this helps gauge buyer / seller strength.  Auction outside the IB gives clues on the day type.

Ch 5 – Long term auctions

Auctions that occur near bracket extremes provide significant information about the odds of the bracket holding. For example, if an auction
that pushes toward the upper extreme occurs on heavy volume, the odds
are high that the bracket will not be able to contain the upward movement.
Conversely, if low volume accompanies an auction at a bracket’s upper extreme, then it is likely that higher prices are effectively cutting off activity;
higher prices are not being accepted as “fair,” the bracket’s extremes are
affirmed, and more balancing activity can be expected.
 Markets communicate
their need to balance via declining volume, thus the same information that reveals the likelihood of bracket containment is also helpful for identifying when a new bracket is beginning to form. One auction isn’t enough to
make this determination
 Once the
market leaves a balance area, price often moves rapidly (at least initially)
in a nonlinear fashion, liquidity shrinks and opportunity is lost

Ch 6 – Intermediate Auctions

Price has to auction too high
before the market realizes it’s too high, and too low before the market
realizes it’s too low. In effect, what happens is that price auctions higher
until there is a lone bidder; when higher prices cut off activity, then the
auction has gone too far.
Trends end in either of two ways or a combination of the two. 
  • The first,
    less-frequent type of ending occurs when volume—which is in the direction
    of the trend—simply dries up, as if the participants that were driving the
    directional move are “all in” and there is no one left to participate. The
    transition is relatively quiet and calm; the market just sits there, lulling
    market participants into a state of complacency and stasis (several day highs or low at or near the exact same price).
  • The creation of “excess” is the second and most common end to a
    trend. Excess occurs when a market makes a dramatic price high or low on
    low volume and opposing buyers or sellers react quickly and aggressively
    by auctioning price in the opposite direction. This type of trend end is often
    stormy and sudden
    • An excess high or low occurs on light or low volume. Most of
      the investing world, however, thinks the opposite is true. For example, many investors believe that capitulation at the end of a downward
      auction—when all the sellers finally sell—occurs on heavy volume. But
      this would go against all the principles we’ve talked about. For example,
      a market may experience a period of healthy volume as the stragglers
      (Gladwell’s “late majority” or “laggards”) get rid of their inventory, but the
      final prices, manifest in the excess spike, are not made on heavy volume.
      The volume most people incorrectly ascribe to capitulation is actually a
      result of the action in the other direction, when buyers show up in force
      and the price spike down is quickly rejected. Confusion occurs due to the
      fact that after the excess high or low is in place, there is often a dramatic
      pickup in volume as part of the counterauction.

When an auction attempt fails to establish value in one direction, and price re-enters a previously accepted value range, the odds are
good that the market will auction down and explore the opposite end
of the accepted range

Ch. 7

Good Short term Trades – 
  • break of 2 day balance, monitor closely for continuation once breakout occurs
  • Fade bracket extremes when price hangs out at one extreme defined by multiple days of overlapping value.  Opposite of breakout trade.
    • occurs on decreasing volume into range extreme
  • New highs, then overlapping volume.  Once bids cease to dominate, market will explore in opposite direction
  • Bracket breakout – longer term (weeks to months of price bracket) that breaks and then rejects previous range extremes

Following a balance / neutral day trade with any directional auction the following day.

P or b type profiles that extend need HVN as continuation.  In addition they need the following day to be followed w/ extremes pushing away from the P or b bulge, otherwise they can easily retrace
Trend => balance => go with break of balance in either direction
P( or b) shape at Daily balance( or low) usually leads to trend the other way esp when close is near the opposite end of value (ie: if P shape and near /below value area low)

Ch. 8

b shape profile breaking from previous balance.  Look to sell near the upper side of hvn (prob around VAH) for continued move lower.  Example shows that occur, but if buyer steps in and creates a P on that day.  The following day look to buy lower side of hvn (prob around VAL)
  • Open Drive – driving against intermediate trend and inside previous days range is unlikely to elongate the profile because it won’t attract as much attention.  However, open drive w/ intermediate trend and out of balance will attract attention and likely to elongate. The following day, you expect market to open outside of value in the direction of the drive or at least build value outside previous days value.  
    • When you see development contradict  the above, risk of reversal increases.  If not maintain position and let the market work for you
  • Open Test Drive – market lacks the initial confidence immediately following the opening bell. It will test a known reference point before rallying. Often large institutional orders will wait for 15mins before executing.  
  • Open rejection reverse – rejects previous days range but finds strong opposing force back into it and one time frames back.
  • Open auction – no conviction (low confidence opening) on either sides w/ trading above and below open randomly. If inside previous day’s value area a non-convictional day is more likely.  
    • if opening outside of yesterday’s range odds are good of a move in either direction.
    • if market enters previous value area and builds, odds are good the market will continue to the opposite side of the days range (or value area)
    • no reason to trade in first 5 periods of an open auction.
      • low confidence opening (OAIR) after a balance-ish type previous day.  market re-enters value and trades to value low and previous low of day

Zero to One – Peter Thiel

Ch 1.

  • Horizontal(copy) vs Vertical (new) growth.  Horizontal is moving 1 to n, but vertical is going 0 to 1.  Both are needed but technological advancement is going vertically from 0 to 1.  Globalization is an example of Horizontal growth as it’s just a wider market
  • Startups are better at going vertically than established companies

Ch. 2

  • The 90s weren’t fantastic, there were many crises along the way.  The dotcom boom was only Sep 98 – Mar 2000.
  • Dotcom crash Lessons
    • Make incremental advances
    • Stay lean and flexible – iterate instead of having a strict plan and being inflexible
    • Improve on competition – easier to start with existing customer base
    • Focus on product not sales – if product requires ads or sales ppl, it’s probably not good enough
  • However, real lessons are probably the opposite
    • It’s better to risk boldness than triviality
    • A bad plan is better than no plan
    • Competitive markets destroy profits
    • Sales matter just as much as product
Ch 3.
  • Monopolies that are the result of great technology are the businesses you want to be in
    • Google is a company like this, they dominate most of the search market.
      • Framing them as a Search company they are a monopoly.  At $17B in revenue and $37B online advertising total, they dominate.  However, looking at global advertising, they only own 3.4%
      • Framing them as a product or tech company they had $2.4B vs a tech market of $1T
  • Non monopolists define their market as an intersection of various smaller markets
    • money and margins are everything
  • Monopolists disguise their monopoly by framing their market as a union of several large markets.
    • “We face an extremely competitive landscape in which consumers have a multitude of options to access information” = Google is a small fish in a big pond.
    • can afford to think about long term future as money is not everything, just important
  • History is a progress of better monopolies replacing incumbents

Ch. 4

  • Competition is a destructive force instead of a sign of value.   
    • Pets.com PetStore.com Pettopia.com, all selling the same stuff and unable to differentiate.  There is no reason to be in this business.

Ch. 5

  • DCF is the way to value businesses.  Businesses that have high growth will be valued much more than low growth businesses because most of the value in low growth businesses is in the near term.  
  • Tech companies value will come at least 10 – 15 years in the future
  • Zynga – rapid short term growth claiming they have a psychometric engine that gauge appeal of new releases.  How can you reliably produce a constant stream of popular entertainment for a fickle audience? (nobody knows)
  • Will this business be around a decade from now?  Numbers won’t tell you, it’s qualitative.
  • Characteristics of a Monopoly
    • All are unique: proprietary tech, network effects, economics of scale and branding.
    • Proprietary Tech must be at least 10x better in some important dimension to lead a real monopolistic advantage
      • Tablets before 2010 had a non-existent market despite Microsoft / Nokia having products.   Until iPad was released, it was clear Apple made an order of magnitude improvement
    • Network effects – must start with especially small markets.
    • Economies of scale – fixed cost of creating product can be spread over larger quantity of sales.  Many businesses only gain limited advantages by growth. Ie: yoga studios vs software which has 0 marginal cost of producing another copy.
    • Branding – ads, stores, materials, speeches, price, design
  • Monopoly needs to start with a small targeted audience, concentrated together with few or no competitors.  Paypal initially wanted millions of palm pilot users who had no need for their products.  Pivoted to a few thousand eBay powersellers and they had 25% that market quickly.

Ch. 6

    • Don’t be well rounded.  A definite person determines the one best thing to do and does it.
    • The greatest things Jobs designed was his business.  Apple imagined and executed definite multi-year plans to create new products and distribute them effectively.
    • Find a definite future.
    Ch. 7
    • VC expect returns to be normally distributed.  Bad fail, most flat and good ones return 2x to 4x.  But they follow a power law = small handful radically outperform all others.
      • the best investment in a successful fund outperforms the rest of the fund combined
    • Only 1 rule: invest in companies that have the potential to return the value of the entire fund
      • this will eliminate the majority of investments
      • ie: Andreessen invested in Instagram in 2010 for $250k, 2 years later sold it for $78M.  As a $1B fund, they would need 19 instagrams just to b/e.
      • VCs must find a handful of companies that go from 0 to 1 and back them with every resource
    • Focus relentlessly on something you’re good at, but make sure it will be valuable in the future
    • Join the best company while it’s growing fast.  The differences between companies dwarf the roles inside companies in terms of their equity.
      • .01% google is worth more than a startup you create that will most likely fail

    Ch. 8

    • Most of the easy ‘secrets’ have been solved and new advances are either impossible or extremely hard at this point.  There are many left to find, but only relentless search will get you there
    • Cures for cancer, dementia, disease, age, metabolic decay.  Fossil fuel alternative.  Faster travel on the planet and beyond it.  
    • Airbnb addressed untapped supply and demand.  Uber did also.  Insights that look elementary can support many valuable businesses.  What do people already have or do that can be untapped?
    • 2 types of secrets:
      • Natural – physical world
      • People – communication / interaction
    • What fields have not been standardized or institutionalized
      • ie: nutrition, it’s hard to study and most studies are old and wrong.
    Ch. 9
    • Management is important.  Everyone should be committed to the same goal and have some history of working hard and succeeding.  
    • Management should not be taking large salary, but primarily paid if equity does well

    Ch. 10

    • You’ll attract good employees if you can explain why your mission is compelling and why you’re doing something important that no one else is going to get done.
    • Employees need to all be different in the same way.  A tribe of link minded fiercely devoted people.
    • Make everyone responsible for one thing.  Defined roles reduce conflict
    Ch. 11
    • Sales works best when it’s hidden.  People who sell advertising are account executives.  People who sell customers are in business development.  People who sell companies are investment bankers.
    • Distribution is essential, despite what engineers think. If you build it they won’t come.  Inventions w/o an effective way to be sold is a bad business, no matter how good the product.
    • Customer Lifetime Value (CLV) amount of profit earned by customer must exceed avg cost to acquire (Customer Acquisition Cost, CAC)
    • Businesses with complex sales model, achieve 50% – 100% yoy growth over the course of a decade.  Good enterprise strategy starts small.  Once you’ve got a pool of customers, then you can go get bigger deals.
    • Marketing / Advertising work for relatively low priced products that have mass appeal but lack a method of viral distribution.
      • Facebook / Paypal.  Initial userbase of 24 people.  Realized paying people to join was the best acquisition strategy, at $20 per customer and 7% daily growth.
      • Want to acquire the most valuable users first.  To Paypal that meant a niche ebay PowerSeller.
    • Need to sell your company to the media, don’t ignore them.
    Ch. 12
    • Machine + Human is much better than AI.  AI is good at filtering but humans much better at determining accuracy of what is being filtered.
    • Companies that look to improve / complement human effort is the best.  However most schools seem to think that replacing human effort is the primary goal.
    Ch. 13
    • cleantech failed because they couldn’t make break thru tech, only small incremental improvement
    • they were unable to get any of the 7 main questions. engineering, timing, monopoly, people, distribution, durability, and secret.
    • monopoly doesn’t exist because consumers don’t really care how electricity is generated.
    Ch. 14
    • founders are weird people.

    Mark Douglas Think Like a Professional Trader

    First you have to identify an edge
    Once you have an edge, fear is what prevents you from realizing your system’s edge

    3 development stages

    • Mechanical – moving stops at this stage will cause you to perform worse.
    • Subjective – understand nuances of your strategy, you can move stops based on your gauge of high / probability once in the trade and gain more edge
    • Intuitive – in the zone and you can sense the flow but can’t really explain it – generally only lasts for a couple hours a day.

    Euphoric trading generally leads to bad draw downs

    Learning to trade without fear is believing you don’t have to know what is going to happen on a trade by trade basis to win or make consistent money.

    • The edge will only appear over a series of trades.  
    • Trying to only enter trades that are 100% winners leads to not placing stops because you think the trade will work no matter what so a stop is not needed.
    • Prices moves because other traders buy / sell after you.  You need other people to move price.  If they don’t appear there is nothing you can do about that.

    The information displayed on the screen is not inherently threatening.  Markets become threatening when your expectations define information as:

    • being wrong
    • losing
    • missing out
    • leaving money on the table
    3 types of traders
    1. Consistent winner w/ small draw downs that are a normal part of any system
    2. Semi-consistent trader w/ extremely large draw downs that are the result of trading errors
      • don’t define risk in advance
      • define risk but don’t take the loss where system’s edge is likely to work
      • hesitate – getting in too late
      • jump the gun – get in too soon when signal never develops
      • get out of winning trade too soon – leaving money on the table.
      • let winning trade turn to loser w/o taking profits
      • move stop closer to entry point, get stopped and market trades back in your favor
    3. Consistent loser w/ large wins
    Large Institutions create reverse auctions where they drive price one way, collect stops and then drive it back.  Most technical analysis has no relationship to why these large institutions drive price. Technical indicators quantify the collective information

    Change your expectations of the outcome from a winner to that just something random will happen.

    Your state of mind is always the absolute truth.  Nobody can tell you that you’re not feeling fearful or confident.  How you interpreted market events to get you into that state of mind can be dysfunctional.

    • dysfunctional belief – the reason for putting on the trade has almost no correlation with why the market actually went for or against you.  
    • analysis just puts you in a position to recognize when the likelihood of a trade has a particular outcome

    The goal is to get to the point where anything that is inconsistent with what you’re trying to accomplish does not enter your mind anymore

    • anything that you’re thinking, saying – negative thoughts, wasting time, unnecessary chatting
    • doing – moving stops, trading where you shouldn’t or marginal trades, feeling bored.
    • deliberately refocus your attention on your goal – always go 1 step further.
    Stop analyzing – technical analysis does not improve ‘in the moment’.  If you get a signal, take your trade with your plan.  Stop thinking and trying see why the trade will work or not
    • An identical setup has a random outcome.  The same people involved with that last trade are no longer here
    • Disconnect the mechanism in your brain that any similarity in the past has any bearing on the future.  That is the difference in thinking in probabilities that separate good traders from everyone else.
    Trade for a new reason – acquisition of new skills not the outcome of the trade.

    • Take 20 trades in a row and set up the risk to take it assuming 20 losses in a row.
      • You have to be completely comfortable losing the $ amount of 20 losses in a row.
      • Rarely has he met a trader that doesn’t have a problem after taking 3 losses in a row.
    • Once you have the skills you’ll make all the money you want but you have to be comfortable potentially losing every time.
    Professional Mindset
    • Anything can happen
    • Every moment is unique
    • Edge is an indication of a higher probability of one thing happening over another
    • There is a random distribution between wins and losses on any given set of variables that defined an edge
    • You don’t need to know what will happen next.

    Option Volatility and Pricing – Natenberg

    Ch1

    • Options futures are settled like stock, so they are unrealized gains / losses until position closes.  This is in contrast to futures, which are settled at the eod where all gains / losses are realized and deposited into each person’s acct.
    • Modelling
      • Time to expiration
        • For volatility purposes we’re only interested in trading days
        • For interest rate purposes we must include every day
      • Price of Underlying
        • Use the price which will establish a hedge in the underlying.
          • Sell calls / buy puts use the ask
          • Buy calls / sell puts use the bid (long delta offset against short delta)
      • Interest Rates
        • With stock type settlement – higher interest rate lowers value of option
        • Higher interest raises stock price, but also increase carrying cost, which lowers value of option
        • If you have 60 days until expiration, use 60 day t bill, find the appropriate t-bill that matches the option expiration
      • Dividends
        • If dividend is delayed, call options increase in value, puts decrease
      • Volatility
        • Daily STD – 256 trading days / year, so divide annual volatility by 16 to get the 1std of daily returns.  Ie: if 20% volatility, one would expect < 1.25% or less daily price change 2 / 3 days, and < 2.5% 19/20 days (2 std)
        • Weekly STD – 52 weeks / year, so divide by 7.2.  20%/7.2  = < 2.75% for every 2/3 weeks
    • Option Characteristics
      • Delta is also approximately the % that option will finish in the money.  It’s also the hedge ratio against the underlying
        • For contracts w/ longer expiration the ATM 50 delta option will not always be the one closest to the current price, but the price * interest rate
      • Gamma is directional risk
        • ATM have highest gamma
      • Theta is time decay
        • gamma and theta have opposite signs and are negatively correlated.  the market will either move (gamma) or stay still (theta)
      • Vega of all options decline as expiration approaches, so long term options are always more sensitive to vega than short term
      • These greeks help you identify risks to make good decisions, not remove risk.  A trader that over analyzes these greeks will suffer analysis through paralysis and will be unable to make money.  The point is to find out which risks are acceptable and which are not.
    • Spreads
      • Volatility spreads should be constructed so that they are almost delta neutral
        • these are concerned primarily with the magnitude of movement in the underlying, not the direction
        • volatility consideration should always be more important than delta consideration, if not, the trade is not a volatility spread
      • Spreads which are helped by movement in the underlying have positive gamma, and hurt by movement have negative gamma
        • positive gamma is said to be long premium and hoping for a volatile market with large moves in the underlying
        • negative gamma  is short premium
        • any positive gamma trade will have a negative theta, and vice versa
      • Spreads helped by rise in volatility have positive vega
      • Every volatility spread can be placed in 4 categories
    Category
    Gamma
    Vega
    Backspread
    Positive
    Positive
    Ratio Vertical Spread
    Negative
    Negative
    Long Time Spread
    Negative
    Positive
    Short Time Spread
    Positive
    Negative
      • if IV is high, look for spreads with negative vega, if IV is low look for spreads with positive vega
      • long time spreads are likely to be profitable when IV is low but expected to rise, short time spreads is opposite
    • Adjustments
      • adjust at regular intervals – adjust based on your volatility estimate, ie: daily volatility estimate, require daily adjustments
      • adjust at predetermined delta – if you’re willing to take directional risk, allow for delta up to a certain point
      • adjust by feel – if the position’s gamma will put you at a certain level of delta at a particular price level(positive delta at support), and you’re correct, you will have saved yourself an unprofitable adjustment
    • Risk Adjustments – which risks are you comfortable with?
      • Theoretical Edge is what you determine to be the correct value for the option greeks.
      • Delta Risk – risk that underlying will move in one direction over the other
        • neutral position doesn’t eliminate all risk, but it is immune to directional risk in a limited range
      • Gamma Risk – risk of a large move in the underlying.
        • negative gamma position can quickly lose its theoretical edge with a large move in the underlying contract.  the consequence of this move must always be evaluated when analyzing each position
      • Theta Risk -risk that time passes w/ no movment.
        • if you have positive gamma, how long can you wait before the theoretical edge disappears.  If the movement fails to appear in 1 day, 1 week, ect…does that negate the edge?
      • Vega Risk – risk that volatility entered into model is incorrect
        • vega is a risk present in every position, how much can volatility move before the potential profit from a position disappears
      • Rho risk – risk that interest rate changes over the life of the option

    Options For beginners and Beyond

    Ch4 Greeks

    • Delta – amount options moves from $1 move in underlying
    • Gamma – amount delta changes for $1 move in underlying
    • Theta – time decay of options in $
    • Vega – amount option price moves for a 1 unit (ie: 1%) change in implied volatility
    • Rho – amount option changes based on 1 unit(ie: 1%) change interest rate
    Ch 9
    • Trade with the trend.  Make sure stock has resumed its trend before entering again
    Ch14 Volatility
    • No matter how much the underlying moves, volatility always fluctuated from 5% to 20% for deutschemarks over a 10 year period, w/ an equilibrium of 11%
    • Volatility Cone plots volatility over an X day period showing graphing the high and low as std during those periods
    • Volatility of consecutive periods (ie: 15% 4weeks) tends to be correlated with the next 4 week period (next 4 weeks will be close to 15%)
    • How to forecast
      • What is long term volatility of underlying?
      • What is the recent historical volatility in relation to mean volatility?
      • What is the recent trend in historical volatility?
      • Where is IV and what is it’s trend?
      • Are we dealing w/ short or long term options?
      • How stable does the volatility tend to be?
      • ie: 10 weeks to expiration => look at 50d (10w) historical volatility (20.6%), it is higher than long term mean (18.6%).  IV is declining and at (22.1%) => short volatility position makes sense
        • if volatility cone shows that 10% HV is common range, a less risk strategy should be chosen
      • Short term contracts are more likely to have larger swings in their IV compared to longer term contracts.  When IV contracts or expands, it is more noticeable in the short term contracts
    Option Strategies
    • Debit spreads
      • are medium to long term trades
      • you want to use options with expiration months that allow enough time for this move to occur
    • Credit Spreads
      • typically short term where you want to capture the credit as soon as reasonable possibly
      • Conditions of a good credit spread
        • Extra premium has been pumped into the side being sold
        • Underlying stock needs little or no movement to achieve maximum profit
        • both of the above achieved with front month options
      • Look for 1 time events but wait until dust settles and premium still higher than before,  then initiate spread with short leg near the price extreme => look for roughly equal reward to max risk
        • early Feb, RMBS, royalty fees, big drop, price stabilized at support, sell mar 22.5 / buy mar 25, for 1.25 credit and 1.25 risk
        • early Feb DIS, hostile takeover by comcast for $27, price shot up to $28, then stabilized at $27 2 days later, it would be rejected unless comcast raised offer.  Sell Mar 27.5 / buy 30, 1.3 credit  / 1.20 max loss
        • Mid apr, fell after good eps on high volume to $34 before stabilizing.  May Sell 35 / buy 32.50, credit 1.2 / 1.2 max loss
      • avoid situations where it will be a continuing saga, as in accounting irregularities or possible restatement of earnings
      • Put IV is higher lower in the chain, so makes bull put spreads less lucrative
    • Calendar Spreads
      • good for stable stocks that will move less than 15% over a month
      • primary feature of calendars is to roll a new option every month for the front month short leg
      • at least 1 month expiration difference so you can roll once
      • use calls for expected upward drift, puts for expected downward drift
      • exit the trade if you’re taking a 50% loss, roll or close if you’ve achieved 50% of the gain
      • IV is the most important characteristic of calendar spreads
        • volatility skew – short option IV is larger than long option IV
          • % increase in IV of short option compared to that of the long option
          • 10% – 25% is ideal range, avoid IV skews > 30% esp when both have high IV
        • early may XYZ is $17.  $17.50 Jun IV is 49, Jan IV is 41 = (49/41)  = 19.5% skew.  Buy Jan 17.5 for $2.10, sell Jun 17.5 for $1.15,$125 max gain /  max risk is $95
      • Deep ITM Put Calendars – Expect stock to rise over time
        • Buy 1 Leap (21 – 24months) w/ strike well above current price and sell nearer term Leap(9 to 12months) with same strike
        • Both will be nearly the same price, thus making the cost low and offer substantial leverage.  As near month expires worthless, you can close immediately for max profit
        • if all time values disappears and open interest is low, you might get assigned.
        • sell the stock assigned to you and resell the same put option simultaneously, as 1 transaction.
    • Diagonal Spreads
      • works best when the 2 strikes are no more than $2.50 apart because it keeps the maximum risk on the trade at a reasonable level, which restricts this trade to low / medium priced stocks, or indices
    • Covered Call
      • Focus on the stock price, and to a much lesser extent the option price.  Decide on an appropriate stop loss for the stock, and protect if it goes below by closing the option and stock
      • Decide on the strike price at  a level where you are actually willing to sell the stock
      • Choose 1 or 2 months out, do not go too far
      • If you’re going to get assigned, just accept the loss, don’t buy back the call for a loss
    • Straddles/Strangle – long call / long put
      • Price between $20 – $50, if cheaper than $20, might not be enough room to fall, if above $50 options may be too expensive to create a straddle with good profit potential
      • Identify an event.  EPS, court decision, FDA rulings
      • Event is 30 to 60 days away.  Options do not expire until at least 30 days after the event.  So you’re looking at least 60 to 90 days until expiration
      • Upcoming event should not have already generated interest, open interest / trading volume should be normal.  IV vs HV should also be normal
      • Look for a stock within a narrow trading range.  When it does breakout the option price will gain extra time value
      • Exiting:
        • Sometimes better to exit 1 side before the event.
        • Don’t stay in the straddle much longer after the event, sell the profitable option before time value decreases
        • Never hold both sides of straddle until expiration.  Exit with 3 to 4 weeks before expiration
    • Stock Repair
      • buy 1 ATM call for each 100 shares, then sell 2 OTM calls
      • only works if stock price rebounds
      • example: stock declines from $35 to $23 by March
        • L Jun 25 C for $3.30 / S 2 Jun 30 C for 1.75 => credit of $.20
        • this creates a covered call w/ a bull call spread
        • if stock closes at $30 by expiration you will have made $35
      • to open for a credit, you need about 2 months until expiration
    • Stock enhancement
      • buy 100 shares at $58, holding for $75 target, starting in Mar
        • L Jan 70 C for $3.70, S 2 Jan 75 C for $2.50 => credit of $1.30
        • if stock is above $75, you will have generated equivalent of $81
      • you can do also replace stock above w/ 1 Jan 40 call, for $19.70
    • Collar
      • stocks you intend to hold minimum 10 months
      • example: nov 2004, you buy XYZ at $19 and plan to hold at least 1 year
        • Buy 1 Jan 20 put for $2.90, Sell 1 Jan 25 call for $1
        • max loss is $90(-4.3%), max gain is 17%
      • enhanced if stock pays dividend
      • if at a loss, it is possible to close early, however max gain you must wait until expiration
      • used on conservative, non-volatile stocks
    • Synthetic
      • Long Stock – L 1 ATM Call, and S 1 ATM Put
      • S Deep ITM Put will have delta close to +1, and substitute as L stock
        • slightly higher probability of early assignment than call, because less time value
      • S Deep ITM Call will have delta close to -1, and substitute as S stock
    • BackSpreads
      • only used when stock will move big, a small move generates a maximum loss
      • example: in Feb XYZ is at $19, and you think it can go to $35 in the next year
        • L 2 Jan 22.5 C $1.70, sell 1 Jan 20 call at $2.80.  Cost $60, max risk $310
    • Butterfly
      • focuses on a narrow range of profitability, but used when price is trending towards a target
      • Ex: July, XYZ trading for $30, setup butterfly at $35 w/ 1 L Nov 30 P .80 / 2 S Nov 35 P $4.60, max profit at $35
      • Adjustments can be made to take off the profitable S middle leg and leave on the L outer legs for a subsequent move in the opposite direction
        • if price went up to $38 by late sept, you could sell the Nov 35 puts for $1, and collect $3.60 then hold the puts for a move down
    • Iron Condor
      • Use options that expire in 1 – 2 months
      • No need to let trade get to worst case scenario
      • Ex: Late December stock trading for $56, open 60 / 65, 40 / 45 iron condor, for $185, max loss $500
        • if stock falls below 48 or above 62, close the trade for $100 loss.
    • Double Diagonal
      • You can roll the short legs once in this set to create additional profit
      • No need to let trade get to worst case scenario
      • Ex:Late December stock trading for $56, open Feb 60 / March 65, 40March  / 45 Feb double diagonal, for $150 profit, max loss $400
        • if stock is below $48 or above $63 close for a $100 loss
        • if price moves up to $60 or down to $50, the short feb options can be rolled to march options
        • or feb 60 calls can be rolled up to 65, or feb 50 puts can be rolled down to feb 45 puts to create calendar spreads
    • Vertical Spreads – used mainly for directional trades
      • A vertical spread will always maintain its delta position, any time you buy the lower strike and sell the higher strike, you create a bullish (positive delta position).
      • The greater the distance, the greater the delta
      • If IV is too low, vertical spreads should focus on purchasing the at the money option
      • if IV is too high, vertical spreads should focus on selling the at the money option
      • The focus is mainly on the at the money option to buy / sell when the volatility is mispriced.  You can trade the OTM or ITM first, and then leg into the ATM portion (closest to 50 delta)
    • Conversions / Reversals
      • create syntheic long or short, and then go short or long the underlying
    • Boxes
      • Synthetic L lower and Synthetic S higher, at expiration it will be worth the difference of strike prices.  This entire box will be discounted according to the interest rate
    Strategies by type
    • Neutral w/ Bearish Volatility
      • Covered call
      • Butterfly
      • Condor
      • Double Diagonal
      • Collar
    • Neutral w/ Bullish Volatility
      • Straddle / Strangle
      • Calendar
    • Bearish
      • Bear Call Spread (credit)
      • Put Backspread
    • Bullish
      • Bull Put Spread(credit)
      • Call Backspread
    Risk To Reward
    • Come up with graphs using a computer
    • Use the risk of greatest concern
      • if volatility is the greatest concern choose vega
        • position vega / theoretical price (price i believe options are worth) and compare the different strategies
      • large move? look at delta
        • if gamma is positive, don’t need to include

    Adjustments

    • new traders should avoid adjustments which increase the size of their position
    • if you want to remain risk neutral, buy or sell the underlying contract to adjust the delta of the position
    • if you use options, the remaining greeks will all also be adjusted, use them to get risk back to where you believe it should be while increasing your theoretical edge
    Graphing
    • x is price axis, y is profit axis
    • Theoretical edge – After you input what you believe to be the correct volatility, the current price should have a positive PNL
    • Delta – at the current price, a positive delta will cross the current price w/ an upward slope
      • the magnitude of the slope is the magnitude of the delta.  a delta neutral position will be flat across the current price
    • Gamma – positive gamma will begin to bend upward as the price moves away from the current price in either direction, it will look convex like a smile
    • Extreme moves – if the angle up or down at the edges of an extreme move are infinite, it acts like a naked position.  If it flattens out there are equal numbers
    • Theta – as time passes positive theta will shift the graph up, while negative theta shifts down
    • Positive Vega – as time passes positive vega shifts graph up while, negative shifts graph down

    Mind Over Markets – Dalton (Volume Profile)

    Opening Types –

    • Open Drive –
      • if market opens above or below prior day’s range or value area, then an Open Drive is dominated by responsive buying or selling
      • if market moves away from prior day’s range, than the open is dominated by initiative buying or selling
      • You want to detect this early and not trade against it – OTF is active and aggressive
    • Open Test Drive
      • Market opens, moves a short distance in one direction and then another advertising for someone to step in.
      • This will usually test a prior key area and then push once it has gained conviction that nobody is left to oppose it.
      • OTF has found an area of conviction to participate in the opposite direction
    • Open Auction in range –
      • nothing has changed between this session and the last.
      • Market will be unfriendly to breakout traders and reward those who trade from the outside in
    • Open Auction out of Range –
      • outside of the previous traded range.
      • There is a high probability of OTF action and these can be big days.
      • There will be a higher level of conviction by responsive as well as initiative traders.
      • expectation is to go back into yesterday’s range or value area
        • if price does not go back in, OTF is absorbing and it will likely continue to push
        • look for test of previous high or low

    Day Types –

    • Non-trend – complete balance, no OTF
    • Normal – everything inside IB
      • MPD_IB_RNG >= 0.85 * (HI – LO) AND (HI = MPD_IB_HI OR LO = MPD_IB_LO) AND (HI – LO >= 18 * 1pt range)
    • Normal variation – IB high / low breaks
      • IB range < 0.85 * (HI – LO) AND IB range >= 0.50 * (HI – LO) AND (HI = IB_HI OR LO = IB_LO)
    • Neutral day – OTF present, so range extension on both IB
      • Neutral: HI > IB_HI AND LO < IB_LO AND CL < (IB_HI + HI)/2 AND CL > (IB_LO + LO)/2
      • X: HI > IB_HI AND LO < IB_LO AND (CL >= (IB_HI + HI) / 2 OR CL <= (IB_LO + LO) / 2)
    • DD Trend – builds energy from one range and then quickly moves to another and balances
    • Trend – OTF remains active throughout the day
      • MPD_IB_RNG < 0.50 * (HI – LO) AND (HI = MPD_IB_HI OR LO = MPD_IB_LO)
    The Big Picture-
    • Market, Structure, Trading Logic, Time
    • Time – regulates opportunity
      • Good opportunities to buy below value and sell above value will not last long
        • If the inventory doesn’t move quickly, and stays below value for longer than ‘expected’ value has changed and it is now being accepted lower
    • Structure
      • range extension – identifies control and helps gauge buyer / seller strength.
        • the stronger the control the more frequent and elongated the extension, ie:Trend day
      • 30 min auctions
      • open and close
      • profile shape
      • tails – aggressive buyer / seller enters the market on an extreme and moves prices quickly
        • lack of tails mean lack of OTF conviction
      • initiative vs responsive
        • initiative buying – any buying occurring within or above the previous day’s value area
        • responsive buying – any buying occurring prices below value
          • initiative selling on range extension can result in responsive buying
      • Time Frame control
        • Day
          • open, mid, previous close, high and low of previous day, current day, week (only if near the current price)
        • OTF
          • bracket highs / lows
          • weekly/monthly high / low
          • unfilled gaps
          • common MA
          • if these are in control switch from rotation to momentum trading
        • Destination – once a directional trade is underway, look for obvious visual cue
          • Day – phod, plod, 3d high / low, top / bottom of a gap
          • OTF – long term bracket high / low and it make take months to reach there
            • Monitor for continuation!
      • Trending vs Bracketed Market (Trading range)
        • Trending market
          • must determine if trend is continuing
          • is price accepted or rejected by market – are 30m value areas overlapping or separate?
          • market profile is not as useful, since the direction is obvious
        • Bracketed
          • Markets trend, balance, and then turn around
          • Different market participants have different views of value, and these are often conflicting
          • market profile is more useful because the composite gives the views of all these participants over several profiles
    • Trading Logic
      • byproduct of experience, it is an understanding of why the market behaves a certain way
      • ie:if there is a large tail, and a rotation back into the tail, and TPO builds over time, trading logic says that the OTF that moved quickly is no longer present or willing to respond to those same prices
    • Extra
      • Must ask the following questions:
        • Which timeframe responded to price?
        • How strong was the response, represented by volume?
        • Were the responders the innovators, early adopters, early / late majority or laggards
        • Were the innovators responding opportunistically to the actions of the late majority or laggards?
      • Preparation
        • Review Monthly, Weekly, Daily bars for excess / trend
      • Overnight Inventory
        • if inventory is long and market doesn’t adjust on the open, it is a strong market in the short term
    • Markets ultimate purpose is to facilitate trade
      • Which was is the market trying to go?
      • Is it doing a good job in its attempt to go that way?
    Day Trading
    • Day trader begins each day with a set of expectations that serve as guidelines, based on the market’s past performance
      • Study of long term direction, recent value area placement, and opening print
    • Opening Call – overnight session?
      • opening call gives an idea of what will happen the 1st 30 minutes to 1 hour of the session
    • Open
      • 1st 30m of the day establishes 1 of the extremes 50% of the time
      • Directional conviction
        • open  drive (OD)
          • market opens and aggressively auctions in one direction
          • price never trades back through opening range
            • price where open drive fails is important
            • if price moves back through opening range, something significant has changed
          • generally caused by OTF who have made their decisions pre-market.
        • open test drive (OTD)
          • similar to open-drive but market lacks the initial confidence to drive immediately after the bell
          • market usually tests beyond a known reference point (phod, plod, previous swing hi / low) and swiftly moves back through open
          • often establishes one of the day’s extremes
        • open rejection reverse
          • opens, trades in one direction w/o much conviction, reverses back through opening range
          • more common the OD and OTD
          • initial extremes hold less than 50% of the time
          • normal / normal variation day should be expected
          • ON high / low will likely be tested
          • strong moves will likely be retraced
        • open auction
          • market randomly auctions around open w/o much movement
          • conviction depends on where the market opens relative to the previous day
          • inside previous range
            • non-convictional day is likely to develop
            • market sentiment from previous day is likely unchanged
            • market auctions in one direction until activity slows, then the other
            • non-trend, normal, neutral days
            • initial balance unlikely to hold
          • outside range
            • good potential for market  to move in either direction
            • often gives rise to double distribution days

    • Open vs previous day profile
      • open out of previous day value / range indicates imbalance and more opportunity
      • acceptance (auctions within previous range for 1 hour) indicates balance
    • OAIRIV – within previous value and is accepted
      • range will rarely exceed the previous day range
      • one of the previous day’s extremes will generally hold
        • use MM from an early extreme to find the likely range
    • OAIRIV – within previous value and rejected
      • drives out during the 1st 30
      • very hard to determine how far, or in what direction market will go
    • OAIROV – outside previous value and accepted
      • value will generally overlap previous days value, but only on one side
      • range is reduced compared to previous day
    • OAIROV – outside value and rejected
      • range potential is unlimited
    • OAOR – accepted
      • as long as price does not return to previous day’s range the market has accepted the breakout, even if it auctions back and forth
      • if market continues to drive in direction of breakout range potential is unlimited and Trend day usually results
    • OAOR – rejected
      • market is rejected back into range
      • expect price to check accepted value
      • price range is still unlimited, but likely in the opposite direction of the breakout
    • 30m Auctions
      • Auction Rotations
        • successive 30m auctions where low < plow or high > phigh= 1 time framing (1TF) – only buyer or only seller in control
        • if the auctions overlap it is 2 time framing since both buyers / sellers are in control
        • 1TF on 30m indicates Trend day
        • 2TF on 30m indicates normal, normal variation, or neutral days
      • Extremes – Strong high  / strong low
        • tail provide the most evidence of timeframe control
        • no tail on the extreme is significant, it indicates lack of conviction
      • Range Extension
        • less overlap = stronger control
        • must take into account the bigger picture elements
      • Time
        • ability to identify difference between enough time, and too much time is the key to anticipating a change in control
        • this is intuitive to each trader
    • Identifying Time Frame transition
      • No transition – entire day is 1TF or 2TF
      • 1TF to 2TF
      • 2TF to 1TF
      • 1TF to 1TF
    • Auction Failure
      • follow thru – when market auctions through a known reference point
        • new initiative activity will fuel the continuation
        • auction will fail and not follow through – will often fail with speed and conviction
      • failures at longer term reference points are larger than short term reference points
    • Excess
      • market auctions too far and aggressively moves in the other direction
      • only useful in hindsight – should serve as support or resistance in the future
    • Point of Control (POC)
      • fairest price of the day

    Profile Shapes

    • Short Covering Looks like a P
      • it is old business covering their positions, and it is unlikely to break to the upside
      • usually happens after several days of selling.  Once imbalance of covering is over, trend continues down
    • Long Liquidation looks like a b – it is the opposite of short covering
    • Ledges – sharp drop that indicates a breakout lower after a lack of continuation
    • High Volume Area
      • has tendency to attract price and slow it down
      • the longer price is away from the HVN, the less significant it becomes
    • Low Volume Area
      • typical in unbalanced trending markets
      • should hold against future auction rotations
      • if pierced significantly price should move quickly through it
    Directional Performance – is the market doing a good job?
    • Volume – once direction is known volume, is the primary means to determine performance
      • lack of volume indicates rejection
    • Value Area placement
      • higher, lower, inside, outside
    • Trading Brackets
      • All trades should be placed responsively
      • Markets test the bracket extreme 3 to 5 times before moving to new levels
      • Markets fluctuate mostly in the bracket, not at the extremes
      • Must wait for price acceptance before buying breakouts
    • Trend
      • the stronger the trend, the greater the beginning of the trend’s move
      • must just get on in the initial stages of the trend and monitor for continuation
      • later in the trend you enter responsively
      • volume on days against the trend will help you determine if trend is healthy
    • Auction tips
      • markets need to auction too high to know they’re too far
      • pay attention on these days to see if prices are accepted or rejected beyond their composite values areas
    Long Term Profiles
    • Start these profiles when a significant change has occurred

    Special Situations

    • 3 to 1 days – initiative tail, TPO count and range extension
      • following day should open within or above value
    • Neutral Extreme – days are likely to open in the direction of the closing activity
    • Value Area rule
      • gap outside previous value offers support / resistance against price probes
      • if price makes double TPO points within value, it is likely to test all the way through value
        • closer distance to value makes it more likely to trade through
        • value area width is a sign of poor trade facilitation and lower volume, higher probability it will trade through
        • long term market direction
    • Spikes
      • If spike occurs at the end of the day
        • if open in or beyond the spike, most likely price was accepted, look to enter a the long at selling spike high
        • if opens in the other direction price most likely rejected
    • Balance Area Breakout
      • Some of the best trades to take where risk is minimal and reward is great because it is the start of a big move
      • if the move is accepted go w/ the breakout
    • Gaps
      • day gaps usually filled within the 1st hour, if not higher likelihood it will hold
      • gaps too far away usually are met with responsive activity to narrow the gap, wait for the initiative activity to return before entering

    The Daily Trading Coach – Steenbarger

    ch. 1 – change

    • Recognizing Emotions: There is no way to block feelings / emotion.  All you can do is recognize you have them.  This will give you information into how you can shift your perspective.
      • Make an emotional thermometer.  When we’re most frustrated and most overconfident, is when we’re likely to make our worst trading decision.
      • When you identify an elevated frustration temp, turn away from your screen, and fixate your attention on something else, music or imagery.
      • You must sustain the changes you make, do no relapse back to old habits.  Use whatever emotion force that makes you desire to choose trading as a career to fuel this change.
    • Goals: Performing efficacious at work that is important to us generates mirror experiences of competence and self-worth
      • structured pursuit of goals is one of the best means for creating positive mirrors because we generate construct opportunities for power, self-affirming emotional experiences
      • goal is something you can have control over – a trading process, not profit target.  goals:
        • increase size incrementally, exiting trade in stages, limit trades to setups w/ market trend
        • at the end of the day, make a report card based on how you achieved the goal
        • if you fail to achieve a good grade, improvement becomes the goal for the next day.  if not, make new goals
      • Visualize your goal before you start trading
        • Upon reaching your goals you must experience yourself as a success.  If you see yourself as successful you will feel the joys of success.  Goals are not making lots of money, goals of good trading are things like controlling position sizing, entering long positions on a pullback, ect.
      • Process goals answer the question – what would make my trading day a success today, even if i don’t make money?
    • Confidence:
      • You must prepare for the market, this will make you feel as though you deserve to win
      • self-confidence is knowing that you can handle the worst – surviving the many occasions of being wrong
      • Make memos of what you did wrong, send it to a trading buddy to follow up w/ you a couple days later
    • Change
      • You will only change when you’re ready to change
      • Choose 1 goal to work on intensively at a time, if you choose too many they will become watered down
      • Don’t relapse when you first make the change.  Double your efforts to keep the change going
      • Perform specific exercises and actions that are consistent w/ the change, don’t just think about it
      • As you complete one goal, find the next.  You can always become a more consistent trader.  Self improvement never stops
    ch. 2 – stress and distress
    • Our interpretation of situations turn normal stress into distress.  Trading is always stressful, but should not turn into distress
    • How to prevent distress
      • Position sizing guidelines, per trade loss limits, per trade price targets, and daily loss limits
      • risk per trade should be meaningfully smaller than potential reward of profit targets
      • amount of money of daily loss should be a fraction of the money you make on your best days
      • no single daily loss should be so large to prevent you from making money for the week
    • Journal
      • Every time you experience a distinctly negative emotional reaction to a market event, ask yourself, “How am I perceiving the current market as a threat”
      • Identify the perceived threat and turn it into an opportunity.  Write it down in a journal
      • Journal has 3 columns, it must be detailed enough to understand what is going on in your mind at that time:
        • Specific situation in the market,
        • transcribe your exact thoughts / feelings / actions taken in response to the situation,
        • consequences of the particular cognitive, emotional, or action patterns taken in column 2. => goal is to become aware, not change, do for 30 days
        • You can add a 4th column, with what a friend might say to you that was positive about your thinking / trade idea
      • It is an emotional exercise, not logical.  It needs to have the power of emotional force, and vigorously reject the negative thought patterns.  These thought patterns have sabotaged your trading, cost you money, and threatened your success
    • Trading rules – to create repetition
      • rules for risk management; taking breaks after large or multiple losses, entering at defined signal points, preparation for the day.
      • review rules before trading and visualize yourself in different trading situations following the rules
      • review rules during the day
      • grade your rule following at the end of the day, if you get less than a B, it is an explicit goal for next days trading
    • Fear
      • Fear is a cue to examine your trade more deeply, not make changes.
      • Make a checklist of things you look for to make sure your trade is working, and whether it makes sense to be in it.
    • Performance Anxiety
      • Thinking about the outcome of a your performance will interfere with the process of performing.  Focus on the doing, and the outcome takes care of itself
      • Know your niche and only trade that product, time frame, and setup.  Most of the time bad trades come from trading out side your performance zone
      • Label trades as A,B,C.  A are home runs, B are good setups, and C are marginal setups.  When you lose your edge or start a slump, only take the A trades are reassess the market
      • Volatility will cause anxiety if you are not aligned w/ the market.  If you expect high volatility, but market is low, you will expect moves that never occur.  If it is high and you expect low, you will get stopped out too easily.  You will also not size your positions correctly
      • You need many fulfilling activities in your life, so if trading isn’t working out particularly well, you have other things you are being successful at
        • Rate yourself on spiritual interests, artistic activities, athletic pursuits, social life, intellectual life, family, community and hobbies.  Select 1 area for cultivation to improve emotional diversification
    • Maximize Confidence
      • It’s easier to stay in a trade if you have a defined profit target because you get less caught up in the up and down ticks of the market
      • You must know the historical odds of the market acting in your favor.  Without this it is hard to have confidence in the ideas.  Markets experience normal retracements on the way to to a profit target, and those adverse excursions will be difficult to weather
        • these pullbacks can be viewed as threats to paper profits or opportunities to add at favorable prices
      • It takes more confidence to sit through a trade than to enter it
        • Most people will choose a 100% chance of making $1000 vs 75% chance of making $1500, even though on avg you get $1125
      • Processing retracements
        • a lost paper profit is not a threat to your account
        • most criticize themselves for missed opportunities or lapse into a state of frustration
        • it is the self blame and discomfort of second guessing you are avoiding  when  you take a profit before your profit target
      • Confidence is trust
        • you must act on your trade ideas and see through to their planned conclusion to develop trust in your ideas.
        • Leave on a small portion of your position to your intended target to help you build trust in your ideas

    ch 4 – How to Journal

    • How to review your trading journal to self diagnose
      • divide entries into 2 clusters, successful trading and trading at your worst
      • look for things such as trade frequency, trade size, coping with market challenges
      • Compare best trades vs worst trades w/:
        • emotional patterns – distinct differences in how you feel before and during trades
        • behavior – differences in how you prepare trades, manage them
        • cognitive patterns – thought process or concentration level
        • physical patterns – energy level, tension, relaxation, posture
        • trading – sizing, times of the day, mode of entering (scale vs all in), instruments traded
      • Watch for:
        • impulsive of frustrated trades after losing ones
        • risk averse / failing to take good trades after a losing period
        • overconfident during a winning period w/ marginal and unplanned trades
        • anxious about performance and cutting winning trades short
        • oversizing to make up for losses
        • ignoring stop-loss levels to avoid taking losses
        • working on trading when you’re losing money, but not when you’re making it
        • caught up in moment to moment action vs actively managing a trade, preparing for the next trade
        • beating yourself up after losing trades / losing motivation for trading
        • trading for excitement / activity rather than making money
        • trading because you’re afraid of missing market move, rather than favorable risk / reward
    • Best traders continue to compete against themselves long after they have made enough to retire.  They are constantly trying to improve rather than make money
    • Journaling is an emotional exercise, not a cognitive one.  You must learn to hate your worst trading habits so you do not repeat them because they disgust you.
    • Keep yourself solution focused:
      • What did I do well today/this week? What did I do right about this trade?
    • Usually many trading problems come from 1 core problem: ie: negative self talk causes missing good trades, sizing position too conservatively, cutting winning trades too quickly
    • Imagery
      • Mentally summoning stressful market scenarios and imagining in detail how  we want to respond to these, we inoculate ourselves against those stresses by priming our coping mechanisms
        • Visualize specific market / situation, levels, and PA.  the realism enables the exercises to substitute for real experience
        • Visualize like a movie, playing out real time
        • Imagine from beginning to end, until the entire situation no longer evokes emotion
        • Slightly vary the scenario
        • Repeat the visualization daily
      • Imagine how FT or Lak would trade the same market
    Ch 5 – breaking old patterns
    • Past relationships are the basis for your identity.  How you reacted to past relationships will affect how react to current relationships. Relationships can be with anything people or markets.
    • One trader defended against loss by never getting too close.  He lost a sibling when he was young and his parents tried not to dwell on the tragedy.  He never committed to anyone, to keep his from experiencing his pain of loss, but never had a fulfilling emotional life.  He traded with ludicrously small size, and was distracted by chat rooms / reading web sites.  He avoided loss in relationships, dabbled at the edges of markets, and never achieved anything close to his potential.
    • To crystallize your pattern you need to understand the underlying need.  The trader above had an overwhelming need for safety and took the safest path in relationships and trading.  He is guarding against the vulnerability of investing in oneself and losing that emotional investment.
    • Patterns can be broken down:
      • Need – what we are missing, what we crave
      • Feeling State – distress associated with not having that need met
      • Defense – what we do to cope and avoid the painful feeling state
      • repetitions – how we replay defenses in current situations
      • consequences – negative outcomes from our current defensive efforts
    • Schemas are habits of negative thought patterns that hijack your mind and the way your process information.  You need to feel the horror of losing control of your mind / behavior
      • justice – i put in my work, i should make money
      • catastrophe – it would be terrible if my trade didn’t work out
      • safety – i can’t act the market is too dangerous
      • self-worth – i’m a total failure, i can’t make money
      • rejection – i’ll look like a fool if i can’t succeed at this
    • Market is not about you
      • When you start using “I” and “me” your attention is becoming self-directed.
      • Need to break this thought process
    • Worry
      • visualize worst case scenario and how you would handle it constructively.
        • What are you really fearful of?  what unresolved situation is looming?
        • until you face it, it will intrude in your work and affect your mood
      • worry reinforces a sense of hopelessness and helplessness in the face of those scenarios
      • worry masks larger concerns
        • once you anticipate the worst case scenario, you can take catastrophe out of the situation
    • you don’t drive on the opposite side of the road because it is dangerous, you don’t have to think about it, you just do it.  You should have the same rules with trading.  Internalize the rules so you it doesn’t even occur to you to do dangerous things
    • make sure you are emotionally connected to the rule, ie: remember the times you violated the rule and what happened
    • Common rules:
      • Position sizing
      • limiting losses – per trade, day, week
      • adding to position
      • when you stop trading or limit size / risk
      • when you increase size / risk, per trade / per day
      • entering and exiting
      • preparing for the day / week
      • diversification among position
    • during every change process you will relapse to your old ways, this is common and expected, until they become automatic
    • Imagine situations where you feel fear, greed, frustration, and boredom.  Imagine yourself tempted to react in your normal patterns, and the vividly envision keeping those negative patterns in check
    Ch 8 – coaching as a trading business

    • trade management – the market generates information once you are in the trade, use this to your advantage
      • he has 6 units, and only enters trades w/ 1 or 2.  If his ideas are confirmed, he adds units on pullback
    • you must cultivate an aggressive mindset when you know you have the market nailed.
      • add to your position on paper after you’ve entered and track how well these ‘nailed’ positions perform
    • Experienced traders know when they are right and wrong.  Beginners try to avoid being wrong.  Experienced traders know they’ll be wrong on a significant portion of their trades.  Their coaching is designed to help them anticipate and manage losses

    Mark Douglas Trading in the Zone

    Ch. 1 – Mental Analysis

    • The winners have attained a unique set of attitudes
      • No longer susceptible to the common fears and trading errors that plague everyone else
      • They stay disciplined, focused, and confident in spite of adverse conditions
      • Best traders take risk, and accept and embrace that risk – there is a psychological gap between assuming your are a risk-taking trader and accepting that there is inherent risk in each trade
    • The best traders can put on a trade without the slightest bit of hesitation and just as easily admit it is not working and get out of the trade without the slightest bit of emotional discomfort.
      • If you are unable to trade without emotional discomfort, you have not learned to accept the risks inherent in trading.  You’re trying to avoid something that is unavoidable
      • As traders you’re confronted with being wrong and losing money constantly, and both rank very high on what people are afraid of
    • Primary Trading fears that cause trading errors
      • attitudes about being wrong, losing money, missing out, and leaving money on the table
      • Fear causes us to mentally narrow our focus of attention to the object of our fear, this means thoughts about other possibilities, as well as info from the market, get blocked.  You will no longer think about all the rational things you’ve learned about the market until you are no longer afraid and the event is over.
    • Logic Trap
      • Because the market offers too many variables to consider you will never learn enough to fully anticipate every scenario.  There are no limits to the markets behavior because its participants can do anything at any moment to cause virtually anything to happen.
      • If you are afraid of being wrong or losing money, you can never learn enough to compensate for these fears.  You therefore cannot be confident in the face of uncertainty
    • Market Analysis
      • When you operate from the assumption that more or better market analysis will create consistency, you will be driven to gather as many market variables as possible into your arsenal of trading tools.  However you will still be disappointed and betrayed by the markets because of something you did not see or give consideration to.  You will feel like you can’t trust the markets, but the reality is you can’t trust yourself
    • Trading Easily
      • As long as you are susceptible to rationalizing, justifying, hesitating, hoping, and jumping the gun, you will not trust yourself.  If you can’t trust yourself to be objective and act in your best interest, it will be impossible to achieve consistent results.
      • Until you acquire the mindset to stay confident in the face of constant uncertainty, trading will not be easy and simple.
    • Your future self
      • The future projection of the trader you want to be is something you will have to grow into.
      • Many of the ideas will be in direct conflict with the beliefs you presently hold about the nature of trading.
      • Your willingness to accept that other possibilities exist will make this process faster and more efficient
    Ch. 2 – The Lure of Trading
    • The underlying attraction of trading is the unlimited freedom of creative expression.  This is something that has been denied for most of us
    • Emotional Pain is caused by an imbalance between your mental state and the exterior world
      • When these are not balanced we experience it as dissatisfaction, anger, frustration
    • As a child we are constantly denied creative expression
      • Don’t touch, ect…by the time we are adults we have heard several thousand denials, and thus have had several thousand denied impulses
      • As a child, we reconcile these denied impulses by crying.  As an adult the denied impulses accumulate and manifest themselves in addictive / compulsive behavior habits
        • ie: children who didn’t feel they had enough attention, will have unresolved emotional energy that compels them to crave attention.  As adults the draw attention to themselves to satisfy the addiction
      • These unreconciled denied impulses affect our ability to stay focused and disciplined while trading
    • Safeguards – rules / boundaries while trading
      • Trading is in constant motion with no beginning or end.  It is unlike any other activity because you are the only one who decides when it starts, how long it lasts, and when to end
        • Regardless of what you have planned, psychological factors come into play.  if you become distracted, scared, or overconfident you will act in erratic and unintended ways
      • Since there are no boundaries, we must act with some self control
    • Problems
      • Rules – Most people are resistant to rules in trading because it is a completely boundless environment
      • Responsibility – We want the freedom to make choices, but that doesn’t mean we are willing to accept the responsibility of the outcome
        • When we act on our own ideas, we put our creative ability on the line and get instant feedback on how well our ideas worked.  It’s difficult to rationalize away any unsatisfactory results.  If we enter into unplanned, random trades, it’s much easier to shift the responsibility by blaming other things
      • Random rewards – monkeys will keep doing a task if the reward is given randomly, however if it is given on a consistent basis, and then it is stopped, they will stop as soon as the rewards are stopped.
        • Chemicals in our brain our released when we receive an unexpected, pleasant surprise.  If we trade randomly and get a good result, it will always be an unexpected, pleasant surprise
      • External vs Internal Control
        • One reason many professionals fail in the market is that they have the ability to control and manipulate their environment to fulfill their needs and desires.  As traders we have no ability to control the market externally
    Ch 3 –
    • Taking Responsibility – sounds simple but is not easy to grasp or put in practice.  You must understand the ways in which you are and are not responsible for your success as a trader.
      • Complete responsibility – All of your results are self generated, based on your interpretations of market information, the decisions you make and the actions you take
      • Without complete responsibility you
        • establish an adversarial relationship with the market that takes you out of the constant flow of opportunity.
        • mislead yourself into believing that your trading problems can be rectified through market analysis
    • Shaping Your Mental Environment – your ultimate goal is consistency.
      • Your goal has to to learn to think like a consistently successful trader.  They have eliminated the effects of fear and recklessness from their trading
      • Fear based errors come from rationalizing, subconsciously distorting info, hesitating, jumping the gun, or hoping.  Once the fear is gone, there won’t be a reason to make these errors and they will disappear from your trading
      • Euphoria from a string of winners is also as dangerous as fear
    • The Zone
      • It is a carefree state of mind where there is absolutely no fear and you react instinctively.  You don’t weigh alternatives or consider consequences or 2nd guess.
      • You cannot force yourself into the zone, but you can develop a positive winning attitude
        • Positive winning attitude is expecting a positive result from your efforts, with the acceptance that whatever results you get are a perfect reflection of your level of development and what you need to learn to do better
        • Others get bogged down in negative self-criticism, regret, and self-pity
    • Expectations are our mental representations of how some future moment in the environment is going to look, sound, feel, smell or taste.  Depending on how much energy is behind the expectation, it can hurt a lot when it isn’t fulfilled.
    • Blaming the market
      • As children most of the time we were forced out of a state of joy or happiness by someone with more power or authority.  We had no choice (or believed to have no choice) or responsibility for what put us into emotional pain.  Thus the outside force was to blame.
      • We feel betrayed because these situations were unexpected or unanticipated and we were unprepared for how some people in our lives had the potential to behave.
      • If we haven’t accepted and prepared for the inherent risks of trading and don’t know how to guard against these natural connections between our past and present, we will end up blaming the market for our results instead of taking responsibility for them.
    • The market
      • The purpose of the market is to facilitate people taking money from each other.  It is trying to separate you from your money just as much as the opposite.
      • If you blame / feel betrayed by the market you are expecting the collective actions of everyone participating in the market to make the market act in a way that gives you what you want.
    • Consequences of avoiding pain
      • Conscious level – We shield painful information by rationalizing, justifying, or making a case for staying in a losing trade.  Some typical ways we do this are to call our trading buddies, talk to our brokers, look at indicators we never use, all for the purpose of gathering unpainful information in order to deny the validity of painful information
      • Subconscious – will automatically distort, alter, specifically exclude information from our conscious awareness
    • Euphoria
      • if losses are the result of euphoria, it doesn’t matter form the streak takes, it can be any number of wins in a row.  But the overconfidence means you cannot perceive any risk because it makes you believe that nothing can go wrong.  If nothing can go wrong, there are no need for boundaries or rules to govern your behavior
    • Winning Attitude
      • Is leaving money on table more painful than taking a loss?  When we lose there are a number of ways to shift the blame and not accept responsibility, but we are completely responsible for leaving money on the table.
      • The most efficient path to discovering what you need to be successful is a winning attitude.  It produces the kind of mindset that is most conducive to discovering something no one else has experienced
      • Many traders think they have a winning attitude, when they don’t or expect the market to develop the attitude for them by giving them winning trades.  No amount of market analysis will give you a winning attitude
      • Stop expecting the market to give you anything or do anything for you.  If you stop fighting the market, and yourself, the market will not be your opponent.  You will quickly recognize exactly what you need to learn, and how quickly you will learn it

    Ch 4 – Consistency – a state of mind

    • What separates traders is not what they and when they do it, it is how they think about what they do and how they’re thinking when they do it
    • People who are truly happy don’t need to do anything in order to be happy.  Traders who are consistent don’t have to try to be consistent, they are consistent.  There is no struggle, they see exactly what they need to see and act on it in the moment.
      • Nothing is being blocked from your awareness, so it is effortless
      • Having to try indicates that there is some degree of struggle or resistance.  The best traders don’t try to get anything from the market, they take advantage of whatever the market is offering.
    • Understanding Risk
      • accepting the risk means accepting the consequences of your trades without emotional discomfort or fear
      • possibility of being wrong, losing, missing out, leaving money doesn’t cause defense mechanisms to kick in and take you out of the opportunity flow
      • you make yourself available to take advantage of an opportunity, you don’t impose any limitations or expectations on the market’s behavior, and you are satisfied to let the market do whatever it is going to do
      • Pros don’t not perceive anything that the market does as threatening because of the way they view risk
    Ch 5.
    • Dynamics of Perception – market doesn’t generate happy or painful information, just simply information.
      • When you first looked at a chart, the information was undifferentiated and although all the information about opportunities was there, they were invisible to you.  Most of us have no concept to which we are continually surrounded by invisible opportunities inherent in the information around us
      • Unless you’re in a completely new or unique situation, operating out of genuine openness, we won’t perceive something that we haven’t learned yet
      • People learn to see what they want to see, until they learn to counteract the energy that blocks their awareness of whatever is unlearned and waiting to be discovered
    • Perception and risk
      • Boy is curious and bitten by a dog, when he sees a new dog he is afraid.  To other observers, the new dog is friendly and the boy’s fear is irrational.  There is still more to be learned about dogs, but the boy is now afraid to experience it
      • A top trader would say the now moment has nothing to do with your last trade.  Each on is independent, so if you feel fear it is unfounded.
      • Our minds are built to associate similar things and project our feelings towards that dog onto the dog so you perceive the information the dog shows as threatening even tho the information generated by the dog is not threatening.
      • The market generates information from a neutral perspective.  It provides the observer with an unending stream of opportunities to do something on your own behalf.  If what you perceive causes you to feel fear, ask yourself: Is the information inherently threatening, or are you simply experiencing the effect of you own state of min reflected back to you?
        • When you hesitate on a good signal, instead of perceiving the signal from an objective, positive perspective, you experienced it from a negative one
    Ch 6.
    • Most traders experience the market through their last couple trades.  Pro’s are not negatively / positively impacted by their last few trades
    • Secret of the Nature of trading – at the core of one’s ability
      • trade w/o fear or overconfidence
      • perceive what the market is offering from its perspective
      • stay completely focused on the ‘ now moment opportunity flow’
      • spontaneously enter the’zone’ – a strong belief in an uncertain outcome with an edge in your favor.  You believe without a doubt that anything can happen regardless of what has just happened.
    • The fear of being/admitting wrong causes us to place an inordinate amount of significance on the info that tells us we’re right
    • Not pre-defining your risk, not cutting your losses, or not systematically taking profits are the 3 most common trading errors you can make
      • The reason typical traders do this is because they believe it is not necessary.  It is only not necessary if he believes that he knows what is going to happen next, based on what he perceives is happening in any given moment now
      • Believing, assuming, or thinking he knows will be the cause of virtually every trading error.

    Ch 7

    • Thinking in probabilities
      • Like a casino, you only needs odds in your favor and a large sample size.  At the micro level you don’t know which hands you will win or lose (based on variables like how the individual players act, ect), only that over time you will take in the rake (game has an expected outcome)
      • Trading is the same, you may have the same model that has an edge, but you don’t know at the micro level how the other traders will act.
        • So you must act on every edge because you will never know which edge will lead to a positive or negative outcome
      • Most traders crave certainty that analysis appears to give them.  Every trader wants to be right on every single trade.   You can only be certain that certainty does not exist.
      • If each moment in the market is unique, anything is possible, then any expectation that does not reflect these boundary-less characteristics is unrealistic
    • Managing expectations
      • protecting ourselves from mental pain is the same way we protect ourselves from physical pain.  We try to avoid physical pain by moving away or deflecting it.  We avoid mental pain by ignoring, rationalizing, justifying, excusing, getting angry, or gathering information that will neutralize the conflicting information.
      • if we have an expectation, we expect it to be right.  If it comes an unfulfilled expectation we become unhappy.  If something causes us to be unhappy we use our pain avoidance mechanisms to exclude, distort, diminish our awareness to protect us
      • To avoid pain, we narrow or focus and concentrate on information that keeps us out of pain, regardless of how insignificant or minute
        • If we are trading counter trend, we ignore any trend continuation signals until the pressure of losing too much money becomes unbearable
      • Goal is to be rigid in your rules, and flexible in your expectations
        • Rules are there for self trust and protect us in an environment with few boundaries
        • Flexible in expectations so you can perceive, with clarity and objectivity, what the market is communication from its perspective
    • Eliminating emotional risk
      • Thinking in a probabilistic environment
        • Anything Can happen
        • You dont need to know what is going to happen next to make money
        • There is a random distribution between wins and losses for any given set of variables that define an edge
        • An edge is nothing more than an indication of a higher probability of one thing happening over another
        • Every moment is unique in the market
      • The potential to experience emotional pain comes from the way you define and interpret the information you’re exposed to.  With appropriate expectations, you will eliminate the potential to define and interpret market information as either painful or threatening
      • As a trader when you are expecting a random outcome, you will always be a little surprised at whatever the market does, even if it conforms exactly to your definition of an edge and u win.  However expecting a random outcome doesn’t mean that you can’t use your full reasoning and analytically abilities to project and outcome.  You just can’t expect to be right.  If you are right you can’t expect that whatever you did last time will work next time even if the situations appear identical.  If you approach trading from the perspective that you don’t know what will happen next, you will circumvent your mind’s natural inclination to make the ‘now moment’ identical to some earlier experience.
        • When I put on a trade, all I expect is that something will happen.  Regardless of how good the edge is, I expect nothing more than for the market to move or to express itself in some way.  I know from past market behavior the odds of it moving in my direction are acceptable, in relationship to how much I am willing to spend to find out if it does.  I also know how much I am willing to let the market move against my position.  There is always a point where the odds of success are greatly diminished in relation to the profit potential.  At that point it’s not worth spending any more money to find out if the trade is going to work.  If the market reaches that point, I know without any doubt, hesitation, or internal conflict I will exit the trade.
        • The loss does not create any emotional damage because I don’t interpret the experience negatively.  Losses are simply the cost of doing business to make myself available for the winning trades.  If the trade does turn out to be a winner, I know at what point I am going to take my profits.
        • The best traders are in the now moment because there is no stress.  There is nothing at risk other than the amount of money they’re willing to spend on a trade.   They are not trying to be right or trying to avoid being wrong, nor prove anything.  If and when the market tells them their edges aren’t working or it’s time to take profits, their minds do nothing to block this information.  They completely accept what the market is offering them, and they wait for their next edge.
    Ch 8
    • Working with your beliefs
      • Consistency is the goal, it is the result of a carefree, objective state of mind, where we are able to perceive and act upon anything the market is offering us
      • carefree means confident but not euphoric.  You don’t feel fear, hesitation, compulsion because you’ve eliminated the potential to interpret market information as threatening
      • objectivity means you have conscious access to everything you have learned about the nature of the market.  nothing is being blocked by your pain avoidance mechanisms
      • making yourself available = means trading from the perspective you have nothing to prove.  You aren’t trying to win or avoid losing.  You aren’t trying to get your money back or take revenge.  You come to the market with no agenda other than to let it unfold and be in the best state of mind to recognize opportunities it makes available
      • “now moment” – there is no potential to associate an opportunity to get into, get out of, add to, detract from a trade with a paste experience that already exists in your mental environment
      • Fundamental Truths
        • Anything can happen – there are always unknown forces in every market at every moment
        • You dont need to know what is going to happen next in order to make money – There is a random distribution between wins and losses for any given set of variables that defines an edge.  Trading is a simply a probability and numbers game.  All you need to know is:
          • the odds are in your favor before you put on a trade
          • how much it’s going to cost you to find out if its is going to work
        • The only variables you need to know is whether the variables you use to define an edge are present at any given moment.
        • Every moment in the market is unique – it has never existed nor will ever exist again
    Ch 9
    • Nature of beliefs
      • Just because you understand something is different than using it at a functional level.  Understanding is just the first step.
      • Conflicting beliefs will sabotage your best intentions, and you will not be in the ‘now moment’
        • Now that you understand you don’t have to know what’s going to happen next, and that even trying to know will detract from your ability to stay objective in the moment you will have a conflict between your old and this new belief.
        • It takes a considerable amount of mental work to integrate this new understanding into your mental trading environment
    • Origins of Belief
      • Pure memory – is only sensory information that is not organized or attached to words or concepts
      • Belief – is a concept about the way the external environment expresses itself
        • concepts combines sensory information with language
        • They are a very important part of defining our quality of life, yet they are rarely thought about
        • None of us are born with beliefs, they are acquired in many ways, usually instilled by other people.  The ones we struggle with the most are the usually the ones acquired from others without our conscious consent
        • How beliefs shape our lives
          • they manage our perception and interpretation of environmental information in a way that is consistent with what we believe
          • they create our expectations (what we know projected onto some future moment)
          • anything we do, or express, will be consistent with what we believe
          • they shape how we feel about the results of our actions
        • Our truth will determine:
          • the possibilities we perceive in relation to what is available from the environment’s perspective
          • how we interpret what we receive
          • the decisions we make
          • our expectations of the outcome
          • the action we take
          • how we feel about the result of our efforts
        • If we are in a good state, we can say what we perceived was consistent with our objective and what was available from the environment’s perspective.  If we are unhappy we can say relative to the environmental situation, the beliefs we are operating from dont work well and are not useful.
    Ch 10
    • Impact of beliefs on trading
      • Beliefs take a life of their own, and resist any force that would alter their present form
      • All beliefs demand expression
        • You must train your mind believe in the uniqueness of each moment, and deactivate any other belief that argues something different.
      • Beliefs keep on working regardless of whether or not we are consciously aware of their existence in our mental environment
    Ch 11
    • 3 stages of trader development
      • Mechanical
        • Build self trust necessary to operate in an unlimited environment
        • Learn to flawlessly execute a trading system
        • Train your mind to think in probabilities
        • Create a strong, unshakable belief in your consistency as a trader
          • What separates the ‘consistently great’ athletes from everyone else is their distinct lack of fear of making a mistake.  They don’t have a reservoir of negatively charged energy waiting to well up and pounce on their conscious thought process and kill them. Your mistakes help point you in the right direction, accept them as simply your current level of expertise.
      • Subjective – you use anything you have ever learned about the nature of market movement to do whatever it is you want to do
      • Intuitive
    • If you’re going to become a consistent winner, mistakes can’t exist in the kind of negatively charged context in which they are held by most people
      • Work on acquiring a new set of positively charged beliefs about what it means to make a mistake, along with de-activating any negatively charged beliefs that would argue otherwise or cause you to think less of yourself for making a mistake
      • How to develop self discipline
        • Find a clear purpose why you want to monitor yourself
        • Direct your attention to what you think, say, or do
        • If you’re not focused on your objective, choose to redirect your words, thoughts, or actions in a way that is consistent with what you are trying to accomplish.
        • The more willfully you engage in this process, the faster you will create a mental framework that functions in a way consistent with your objectives
    • Self discipline is a mental technique to redirect our focus of attention to the object or goal of our desire, when that goal or desire conflicts with some other component of our mental environment
      • I am a consistent winner because:
        • I objectively identify my edges –
          • objective means there’s no potential to define, interpret and perceive any market information form either a painful or euphoric perspective.
          • stay objective by keeping expectations neutral, always take unknown forces into consideration.  Unknown forces are other traders waiting to act on price movement
        • I Pre-define the risk of every trade
        • I completely accept risk or I am willing to let go of the trade
        • I act on my edges without reservation or hesitation
        • I pay myself as the market makes money available to me
        • I continually monitor my susceptibility for making errors
        • I understand the absolute necessity of these principles of consistent success and there I never violate them
    • Exercise: trading like a casino
      • Find a any set of mechanical market variables that defines an edge
      • Find mechanical profit and stop loss targets based on this edge
      • Stick with one time from to enter and exit, you can only use the others to help define the edge
      • Take 1/3 profits on the scalp (1.5 – 2 pts emini or 4 ticks bonds)
        • Take 1/3 profits on the profit target, Move stop to break even
        • Use the carefree state to experience the ‘now opportunity flow’ and trade last 1/3 when it indicates to get out
      • Look for 3:1 risk to reward edges
      • Trade in samples sizes of 20 to determine if an edge is working or not
        • Accept the risk that you can be wrong in all 20 trades.  For SPY 3 pts at 150 shares = $900
      • This exercise will create a head-on collision between your desire to think objectively in probabilities and all the forces inside you that conflict with this desire.  The amount of difficulty will be in direct proportion to the degree to which these conflicts exist.  When you have a hard time, use self-discipline to refocus on your objective.  Write down the 5 fundamental truths / 7 principles of consistency so you can see while trading.  Acknowledge the conflict, and refocus on what you’re trying to accomplish.