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