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in this video we'll go over an
example of how you can fill out
the skeleton key external with a working
strategy so first things first i have
the pm rp and bebe w p
added onto my charts here for settings
on these indicators which yes it will
matter as they will directly
pull the indicators as they are for
the skeleton key external i will for
the pm rp have a thirteen length
e a type and a twenty signal
may by the way within sba and
then for the b-bbee dbp it is
going to be default thirteen to thirty
two
and may type is s m a
and length five from there i will
add a completely new skeleton key external
and we're going to go one by
one and fill things out and i'll
make a strategy with you as of
right now so okay let's wait for
it to load and here we go
alright
so first things first we'll start it
off or i just want to acknowledge
that in the background here for the
skeleton key external strategy tester will have
no data of course i mean there's
nothing there to be testing off of
alright so first things first i'm going
to enter when the crown crosses to
the upside
okay then i will move on to
the next section for threshold for threshold
a i'm going to sect i'm going
to select pm rp plotline which is
right here and i want it to
be less than or equal to eighteen
for our entry
then from an ex threshold we're going
to plot the exit as well which
is going to also be running off
of the p or p plotline and
i wanted to be above seventy seven
for the exit and this will actually
already give us some results down here
although this is not to the extent
of the strategy that we're going to
be running but as you can see
we finally get
some actual results so i mean it's
not terrible but certainly not a strategy
that we'd want to employ as it
is so next i want to work
on the slope section and i want
to look at the bb to bp
moving average and a one we actually
can't see it on my screen but
it is down
here you'd just be to b p
moving in which one select that and
i want to only enter when it
is negative
once we get that we can move
onto the next section but let's see
how that has changed things a little
bit okay already looking a little bit
better on the equity curve things starting
to switch around here now let's go
optimize the risk section so in this
particular strategy
i just want to be using the
basic risk stop and i will also
select first clothes as well but let's
see how it changes it so right
now net profit is eleven thousand four
hundred and first close ticked let's see
if that improves things
and this is what you're gonna be
doing majority of time is just waiting
and it does fourteen thousand two hundred
net profit equity curve is getting a
little bit more smooth there and producing
more net profit which we like but
max drawdown is getting quite high so
let's move on to the next thing
that we can change and
we'll move on to the optimization section
as far as the max stop-loss goes
i am going to select one point
three enable if you do not select
enable it will not enable
as the name would imply let's see
how this changes things okay net profit
going up a lot now and much
smoother equity curve although percent profitable has
gone down but that's okay we're here
for net profit although i mean theoretically
it is a preference decision but i
would imagine most people are going to
optimize for net profit and then as
you can see the max drawdown
it has gone down significantly here big
time and now let's ah let's put
in a a max take profit let's
go two point one as my notes
suggest this is going to be a
good level and that raises things up
just a little bit more and now
we're looking pretty good for the um
for the current period and i think
that's where we'll end off on this
one just a very simple strategy um
i do want also show you um
i want to show you the deep
back tester here so deep back testing
is where things get a little bit
more interesting because you can cover more
data
in fact i'd say pretty much any
strategy that you are considering to employ
should be deep back tested
you know least at least a couple
cycles unless if you just really want
a hyper optimize for like a very
specific segment but in this case i'm
gonna go i'm gonna go very far
back here and it will take some
time to load but i do just
want to shake his this relatively fast
let's go back to just january twenty
sixteen so this is a eight year
back tester over at your bag test
and let's see how long one this
takes to populate and then to what
the results are
because sometimes you'll find that a strategy
performs really well in you know the
most recent period but when you go
back further it's not so great and
we want to avoid that if we
are looking for something that we can
employ for a longer time and as
you can see here things um well
actually not bad um but it does
look like it takes a big step
up starting around trade number five forty
six
so what's actually going to the list
of trades and see what happened at
that time when things really stepped up
so was five forty six got some
scrolling to do what time was that
okay
and almost there
few more and here we go okay
so around five forty six was ah
the beginning of twenty twenty one so
this strategy really took off during the
most recent market cycle starting in beginning
of twenty twenty one and really started
to print a lot of profits from
there before that it was
was it was fine i mean it
was profitable certainly but not as impressive
of course so as you can see
you know the fur that the further
that we go back the more information
that we do get and you can
decide you know whether that is relevant
for you or not anyways
will end things are actually one last
thing you know one last thing um
let's now
look at the plot for performance table
and so what this is going to
do
yes i wait for things to populate
let's get rid of this is going
to plot a performance by month for
this strategy so you can get an
idea of what month and what year
the returns looked like and where the
big months were on the wind side
and the law side max drawdown months
and um and and bigger
return months as well so
from there it is it is up
to your judgement up to your preference
as to how you wanna optimize things
but you have plenty of tools now
to get more granular data on what
strategy you're looking at so i'll leave
things on that note a relatively simple
strategy here but as you can see
simplicity is fine simplicity is good
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