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are right and how much you lose
when you are wrong. When you
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doesn't matter whatsoever in
trading. It's pretty
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00:14:46,968 --> 00:14:49,528
irrelevant. It's all about how
much money you make when you
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00:14:21,288 --> 00:14:24,368
after 10 trades you would
actually make a net profit of
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00:14:53,328 --> 00:14:56,448
can truly grasp this concept,
the psychology of trading will
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00:13:14,248 --> 00:13:17,528
trades play out over time
you're going to have that 50/
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that to try and squeeze out as
much sort of maximum as we can
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that a little bit obviously as
we go on to actually learn the
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you know if you just put this
on anywhere and you just let
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so yeah that's pretty much it
it's it's very very simple you
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00:13:07,088 --> 00:13:09,248
obviously even so we're
going to have that risk reward
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00:14:32,328 --> 00:14:35,848
you know having that high
rewards really is powerful. So
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two R so what this means is
with a 3-1 risk reward ratio
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00:12:30,768 --> 00:12:33,768
more money we will make on our
winners and then that form
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00:11:49,188 --> 00:11:51,628
compact stats mode just because
you know it's just a little bit
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box here is our risk right so
obviously the aim of the game
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00:12:20,168 --> 00:12:22,528
like on the charts we're
obviously like I said trying to
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essentially the the the grey
here is our reward and our blue
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00:14:38,368 --> 00:14:41,728
within trading and the methods
that we can use to increase our
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get this as small as possible
whilst trying to get the trade
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you can be wrong up to 75% of
the time and still break even
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you guys need to know for now
but yeah we'll we'll get into
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you an average reward to risk
ratio of 3 to1, then on average
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00:13:41,108 --> 00:13:43,068
kind of an inverse
relationships between strike
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00:10:38,668 --> 00:10:41,508
your average wins and size of
your average losses right to
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your long position and your
short position and then just
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00:14:13,688 --> 00:14:16,848
of your average loser is only
minus one R then that will give
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you have a pretty low strike
rate of 30%, then on average
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00:13:55,868 --> 00:14:01,468
at the actual technical side of
the strategy so let's say that
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this in a lot more detail when
we actually start to look yeah
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of one and then you know that
would just be your 50-50% edge
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50 edge right so what we
want to try and do is reduce
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your heads is just that
relationship which is typically
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this case I've just changed it
to a blue box you know changes
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and your risk rewards you
achieve right so the size of
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minus one hour loss right we
always keep our Rick's fist
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rate and risk reward and then
how that translates onto on the
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to run enough further as long
as possible and and the more
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00:13:02,748 --> 00:13:07,088
pip target and then a you know
20 per stop loss that's
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00:12:08,008 --> 00:12:11,128
to your rewards so your ratio
is getting smaller and smaller
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and obviously as you decrease
your stop loss size your reward
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Right, so we've essentially
looked at the sort of basic
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because your risk is bigger and
bigger you know in comparison
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00:09:59,748 --> 00:10:02,508
a high reward to risk ratio
strategy where it really no
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is double click to open up the
stats because I have it on
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this save down to your favorite
toolbars up here if you have a
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00:11:56,988 --> 00:12:01,788
make your stop loss bigger
right and your reward stays the
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00:12:56,188 --> 00:12:58,468
know if you can you can open
this up again and play around
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risk management lessons on
position sizing right we know
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that means we can afford to
have a lower strike rate right
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get away with and still break
even you know at a bare minimum
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the higher this number is the
lower the strike rate you can
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00:11:37,868 --> 00:11:41,188
this box as big as possible
here so that we increase our
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00:12:01,788 --> 00:12:04,548
same that means that your risk
reward is going to fall right
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00:09:20,748 --> 00:09:24,268
your reward to risk but
displayed as a number so if you
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means you know as long as our
losses you know that strict
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is going to get bigger right
hopefully that is kind of self
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00:09:13,148 --> 00:09:17,308
you need in order to break even
depending on what your average
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R multiple is so if you are
multiple it's essentially just
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profits too early out of fear
or maybe letting your losses
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00:10:18,328 --> 00:10:20,768
that's when you have a really
powerful combo and you can
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denotes your risk rewards so
what I'm actually going to do
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that when you open this up so
hopefully you guys should have
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save those down so yeah it's
really really simple
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essentially where you know this
is a long position the line in
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the risk reward tool that we
very briefly looked at in the
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whatever you want it's kind of
irrelevant the color but yeah
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the middle is where you enter
gives you the price on your
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00:10:31,288 --> 00:10:35,328
mathematical relationship
between both your strike rate
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higher strike rate. So
hopefully you've watched the
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70% of their traders lost money
despite having a reasonably
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maintaining an extremely high
strike rate which is not easy
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of the masses of traders make
you know such as taking your
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give you your average risk
reward okay great but how does
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00:09:27,508 --> 00:09:30,548
your losers are say double the
size of your winners then your
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then you can find it on the
left hand side where you have
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charts and see what this
actually looks like on there.
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you gain more and more
experience and knowledge and
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you're hoping that it's turn
around in your favor then
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trying to consistently hit the
you know the huge home run wins
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high strike rate of 62 percent.
And it's all because those
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quite a few losses or break
evens or you know maybe very
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go for that higher strike rate
approach but they struggle to
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isn't going to trend that far
and it will often pull back to
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either stop you out and you
know despite you being in a
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00:08:02,488 --> 00:08:05,768
fail? And you may remember the
the trading data that was
87
00:14:35,848 --> 00:14:38,368
you should now have a pretty
good idea of what expectancy is
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longer matters if you take many
losing trades as long as you
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start to make some serious
money. So, let's hop on the
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even however if you can get
your average winners to be
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winning trade then you need a
67% strike rate just to break
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you try and increase your
average reward risk ratio by
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reward to risk ratio is one to
2 if you divide one by two you
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off and a bit of a balancing
act between both your strike
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decent amount of running profit
beforehand. So you can take
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rate and your average reward to
risk ratio because they
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easier. Now, if you're new to
trading, you may have some
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tiny wins before you hit and
bank that big winning trade. So
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00:09:56,508 --> 00:09:59,748
still break even it's really
showed the true power of having
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00:06:35,288 --> 00:06:37,608
Now this presents a
psychological barrier. Because
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they often require traders to
lose more often than they win.
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education companies they'll
market high strike rate
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healthy net profit. Now
although high reward risk
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difficulty trying to accept
that you could spend, you know,
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00:07:07,988 --> 00:07:11,708
through the threshold of
trading a consistency. Now,
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completely numb to losing
trades and you will break
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probability really works. I
know that if you persist
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00:14:41,728 --> 00:14:44,648
edge and that being right or
wrong, you know, it really
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run because you just can't
stomach locking the loss in and
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reward to risk and strike rate
comes into play and the higher
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you're going to have a low
average reward to risk ratio so
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are over the long term now
there are two profitability
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to do now here's a table that
shows a required strike rate
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achieve the reward to risk
ratio required to make money
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short and let your profits run
so that your winning positions
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00:14:05,848 --> 00:14:09,108
you can expect to win three
trades out of every 10 right,
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charts we're actually sizing up
oppositions and yeah that's all
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losses but then once we're in
the trade how we try and manage
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00:14:09,108 --> 00:14:13,688
but if the size of your average
winner is plus VR and the size
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00:13:26,008 --> 00:13:28,488
how we actually can get away
with extremely tight stop
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00:12:58,468 --> 00:13:02,748
with it and just put in the
pips so let's say we have a 20
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that we can do that the bigger
our risk rewards will be the
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much time working on your
psychology and showing you how
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a trade over the long run. It's
impossible to always be right
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trades on average had a
negative reward to risk ratio.
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and it all comes back to the
human psychology of avoiding
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00:13:23,848 --> 00:13:26,008
technical aspect of the
strategy you're going to learn
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much relevant too. So when it
comes to analyzing your
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00:13:35,268 --> 00:13:37,548
but for now all you need to
really kind of get around in
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trading, combining these stats
together to calculate your
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more than cover your losing
trades and leave you with a
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whereby we are consistently
losing. So this is why most
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profit expectancy will give you
a much more accurate
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typically an inverse
relationship. So the more that
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00:08:05,768 --> 00:08:09,168
analyzed from the popular
retail broker FXCM where over
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what this can mean is that your
strike rate will be a bit lower
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00:07:11,708 --> 00:07:14,748
with those two profitability
models, it is generally a trade
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00:11:54,108 --> 00:11:56,988
have it on the default mode
there and as you can see as you
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Ricks are at risk fixed right
with that small stop loss then
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clearer but essentially that
would explain it there if you
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through any of the hard times,
you will soon just become
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explanatory so yeah this is
pretty much what an edge looks
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which is simply those that win
more times than they lose and
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overall profit expectancy is
just zero dollars so he's
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averaging $200 profit per trade
even though he's losing and
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00:11:41,188 --> 00:11:44,428
risk reward so as you can see
this number here in the middle
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00:11:19,248 --> 00:11:22,128
right hand side and then this
represents your risk right in
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00:11:34,928 --> 00:11:37,868
is to get this box as small as
possible and we want to get
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when trading Forex however
calculating your expectancy it
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be right on each individual
trade to instead how right you
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time but when he did he won big
with $3, 000 on average and
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his loss rate which was only
25% and we can see that his
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can really help you to shift
your focus away from trying to
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00:10:50,948 --> 00:10:54,788
know we are managing then those
positions well going back to
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strategies that win big but not
necessarily often as they
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that actually look kind of in
reality you know when we are
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trading on the charts and we're
sizing up positions and you
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ratio but also start to slowly
increase your strike rate as
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and important it is to focus on
the metrics as a whole that
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strategies because the masses
follow that concept much
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your loss rate. So in one's
case he had a high win rate of
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average loss on your losing
trades and you multiply that by
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his average loss which is a
whopping $3, 000 multiplied by
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reward to risk strategies are
essentially to cut your losses
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models in trading the first is
a high strike rate strategy
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your win rate. And then you add
this figure to the size of your
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representation of your true
trading performance. So you can
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usually have a much lower
strike rate so the idea high
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essentially think of your
expectancy in the market as the
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irrelevant metric. Your average
P and L on its own is pretty
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three times the size of your
average losers so you have an R
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he's wrong 70% of the time his
high reward to risk strategy
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get no. 5 so that is your R
multiple so in that case if
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your average losing trade is
double the size of your average
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00:10:05,308 --> 00:10:08,688
keep your loser small then your
winners will for your loses and
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00:09:51,948 --> 00:09:56,508
multiple of three then you can
be wrong 75% of the time and
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more. Now, when you can
maintain a high reward to risk
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which means he had a healthy
positive profit expectancy of
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formula to calculate this now.
So you take the size of your
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needs to win even more often or
improve his average reward to
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that we risk in the market. So
you should already know the
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in that case your only hope of
becoming profitable is by
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00:09:24,268 --> 00:09:27,508
have a negatively skewed reward
to risk ratio like Quan and
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your average reward to risk
ratio then the less often you
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00:08:44,948 --> 00:08:48,148
actually need to win so if you
make all the mistakes that most
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then if we add this to his lost
rate which is quite high at 70%
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but he only lost $1000 on
average on his losing trades
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still make a net profit overall
so hopefully now see how clear
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winners are three times larger
than his losers so this gives
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00:02:23,048 --> 00:02:27,128
expectancy which then gave him
a profitable edge in a 50/ 50
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us a lot more insight into the
traders and we can see that
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average. Now when Steve is
right he makes three thousand
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00:02:54,088 --> 00:02:57,568
wrong he makes an average three
grand loss. So this means that
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then a lot of the time when
you're in those trades price
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00:02:27,128 --> 00:02:31,048
coin flip game so going back to
our two traders batting out we
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00:03:07,688 --> 00:03:10,848
dollars on average per trade
and when he's wrong on average
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00:07:50,088 --> 00:07:53,928
in comparison to a trader who
aims for a much lower lower
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00:08:35,468 --> 00:08:38,748
overall so that's where the
inverse relationship between
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00:08:25,208 --> 00:08:29,308
pain and wanting to be and
that's why most traders try to
200
00:08:19,568 --> 00:08:22,248
Now you can see their losers
were bigger than their winners
201
00:08:00,368 --> 00:08:02,488
first episode in this module
called are you destined to
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00:04:09,308 --> 00:04:13,248
so you multiply those together
and add that to the number to
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00:06:54,628 --> 00:06:57,268
a lot of your time losing and
this is why we have spent so
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00:02:45,368 --> 00:02:50,088
risk ratios over their 100
trades. So when one wins he
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00:06:30,088 --> 00:06:32,688
strategies are more common and
preferred by more professionals
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00:03:43,148 --> 00:03:45,948
much we stand to gain or lose
as a trader for every dollar
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00:04:53,548 --> 00:04:56,348
so for Juan's strategy to
become profitable he either
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00:03:00,968 --> 00:03:04,448
his losers are three times
bigger than his riders on
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00:06:08,528 --> 00:06:11,688
the second is a high reward to
risk ratio strategy which are
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00:06:37,608 --> 00:06:40,688
it's against our nature to
continue doing something right
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00:04:41,488 --> 00:04:46,188
two hundred so what does this
actually mean well despite
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00:04:46,188 --> 00:04:50,388
winning 75% of the time Huan is
a break even trader because the
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00:04:05,348 --> 00:04:09,308
75% and he made $1, 000 on
average on his winning trades
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00:07:53,928 --> 00:07:57,008
reward to risk ratio and they
can typically have a slightly
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00:02:41,888 --> 00:02:45,368
trade so in other words to
calculate the traders reward to
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00:02:38,688 --> 00:02:41,888
wins a trade as well as the
amount lost when they lose a
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00:01:48,548 --> 00:01:51,948
ratio improves, right? Now, in
the previous lesson where we
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00:05:21,388 --> 00:05:24,308
matter because strike rate on
its own is a completely
219
00:03:27,188 --> 00:03:30,308
gain in any one trade where
Steve is looking for a much
220
00:03:37,428 --> 00:03:40,028
traders strategies stack up
against each other we need to
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00:03:30,308 --> 00:03:33,668
bigger payoff but he's not
willing to risk as much as Quan
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00:02:01,588 --> 00:02:04,308
their win rate and that's one
way in which the casino
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average P and L increases and
our average reward to risk
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amount that you theoretically
get paid on average to execute
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breaking even now when looking
at Steve he only won 30% of the
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size of his losses far outweigh
the size of his winning trades
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calculate the profit expectancy
so this essentially tells us
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pence when he lost and for Seb
to pay him a full one pounds
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00:02:31,048 --> 00:02:33,088
only know the first two
ornaments so their win and
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00:03:52,428 --> 00:03:55,628
average profit on winning
trades and you multiply that by
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when he won this is the fourth
method right because he
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means that he can be wrong much
more frequently than Juan but
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of our winners and or decrease
the of our losers so that our
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risk ratio now Steve's profit
expectancy it tells that he's
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00:02:07,308 --> 00:02:10,908
example, where Sam negotiated
with Sarah to only pay her 90
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00:02:04,308 --> 00:02:07,308
improved their expectancy. Now,
if you also remember the
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Quan is willing to risk three
times more than he stands to
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size of your loss on your
losing trades so to improve our
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00:03:33,668 --> 00:03:37,428
per trade now to really
understand how each of our
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00:02:57,568 --> 00:03:00,968
he has a negative reward to
risk ratio of one to three as
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00:02:36,088 --> 00:02:38,688
need to know the amount of
profit made when each trader
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he only loses a thousand
dollars. So means he has a
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00:02:33,088 --> 00:02:36,088
their lost rate but to know who
is the better overall trader we
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00:00:59,888 --> 00:01:02,968
Juan is right a lot more often
than Steve is when trading but
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win or how often you lose and
or we need to increase the size
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00:03:14,028 --> 00:03:17,708
positive reward to risk ratio
of 3to1 as on average his
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by altering these four elements
so we can either improve our
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00:01:13,588 --> 00:01:16,428
profit expectancy and there are
only four elements that
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00:02:17,168 --> 00:02:20,248
decreases losses so that his
winners were then bigger than
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00:02:20,248 --> 00:02:23,048
his losses which finally gave
him a positive profit
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00:01:06,208 --> 00:01:10,388
missing some key pieces of
information having an edge in
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00:01:16,428 --> 00:01:20,748
determine your edge in the
market your win rate your loss
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makes an average profit of $1
000 dollars per trade and when
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00:01:34,708 --> 00:01:37,428
strike rate which is the first
two elements so how often you
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00:01:10,388 --> 00:01:13,588
the market essentially just
means that you hold a positive
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00:00:43,368 --> 00:00:47,448
rate of 75 percent. Steve on
the other hand he managed only
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00:00:51,248 --> 00:00:56,688
strike rate of just 30 percent.
So who is the better trader?
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00:01:02,968 --> 00:01:06,208
to truly determine who is the
better overall trader we are
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00:01:54,908 --> 00:01:57,868
green zero to the roulette
wheel which stacked the odds in
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00:01:57,868 --> 00:02:01,588
their favor ever so slightly to
give them an edge by increasing
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00:00:47,448 --> 00:00:51,248
30 wins and therefore booked
seventy losses giving him a
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00:01:51,948 --> 00:01:54,908
discussed how casinos make
money, we saw that they added a
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Well based on just these stats
alone we can clearly see that
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00:01:28,388 --> 00:01:31,468
edge in the markets we need to
increase our profit expectancy
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00:00:39,208 --> 00:00:43,368
75 wins and just 25 losses
giving him an incredible strike
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00:01:20,748 --> 00:01:25,148
rate the average profit on your
winning trades and the average
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00:00:25,388 --> 00:00:28,588
which may actually surprise
some of you so let's look at
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00:00:35,128 --> 00:00:39,208
started with the same amount of
trading capital. Now Juan took
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00:00:28,588 --> 00:00:31,388
these two traders Juan and
Steve who are battling it out
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00:00:14,708 --> 00:00:18,068
develop a trading strategy that
also has a positive expectancy
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00:00:05,468 --> 00:00:08,908
mathematical edge is and we
have looked at how casinos are
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00:00:11,748 --> 00:00:14,708
positive edge so now we're
going to look at how we can
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00:00:18,068 --> 00:00:22,028
just like a casino does and
we're also going to look at how
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00:00:22,028 --> 00:00:25,388
important it actually is to be
right in trading the answer to
275
00:00:01,088 --> 00:00:05,468
By now you should have a pretty
clear understanding on what a
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00:00:31,388 --> 00:00:35,128
in the markets both of them
have 100 trades each and
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00:00:08,908 --> 00:00:11,748
the masters of the world at
exploiting their slight
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00:14:56,448 --> 00:15:00,688
become vastly easier on your
psyche.
26181
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