This content introduces a sophisticated decision support system (DSS) designed to enhance investment and trading performance by integrating multiple analytical models and external data feeds. The system aims to remove emotional bias, identify trading signals, and manage risk through customizable parameters and back-testing capabilities.
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hey gang hope you guys can hear me okay
testing one two three let me know if
okay coming through oh that is
that is loud all right
I'm gonna mute my little video so you
don't get any back stuff and now you can
see yourself through this big channel so
anyway I appreciate you all everybody
let's jump in and let's I'm gonna do a
demo but a quick intro as to what this
thing is one more time for those who may
have missed it
so basically
iadss I know the name is a bit of a
mouthful but it's a decision support
system it's supposed to make you guys
better investors better Traders we did
some beta testing with this with a whole
host of different people experts Pros
day Traders scalpers technical people
I.T people and the feedback was very
positive in general and let me explain
one more time what it is it's basically
three components you have obviously the
user interface which is trading view you
have Model Management got three
different models in here we've got a
trend model conference model pair model
and then we have a knowledge base you
have external feeds and python models
kind of supporting a lot of this
decision making behind the scenes so
let's talk about why it was built
um first of all I noticed that uh when I
started this mission of trying to
share everything that I know
um I discovered I was too busy
too busy with the community too busy
creating content I let my own account
fail not fail but I was missing signals
and it just takes so much time to read
so much and be in the community so I
needed more automation
and the test was could it be possible to
take all of my methodologies of how I
trade and stick them into a machine
that removes emotion finds signals uses
mean reversion pair trading Embraces
position sizing market conditions
portfolio management discipline layering
in layering out filtering out noise and
here we are so remember everybody though
you have to also remember this is a
decision Suite
does not predict the future for example
if a company completely blows earnings
up or down the stock or asset will get
hit and remember fa is fundamental
analysis you gotta pick your asset be
deep in it
and understand why you're in it and what
your time frame is very important and
then this system will help you get in
when to get in and when to get out when
to hedge Etc and that's really the
mission of this whole thing so in recap
as well
three different models we have a
conference model that has a whole bunch
of different levers I'm going to show
you how to use those levers and optimize
those levers live you can put in things
like your time frame your Market bias
whether you're bullish bearish neutral
for example if we had an all-time high
in the market or Bitcoin hits an
all-time high you could flick it to
bearish and that'll help Force you get
out faster and if we're at a market
bottom you can flip it to bullish help
it get in Faster we've got fifo lifo and
percentage of allocation I'll show you
how all those work um
um
Etc then on the main reversion model you
also have your time frame your back test
your band modifications your noise modifications
modifications
etc etc and your Trend model again
back test fifo lifo entry exit fees
allocation size and tightness and
looseness that'll all make sense in a
minute as we go through some real assets
so let's jump in I'm going to show you guys
guys
how it works and how to use it with some
simple little assets that cover a big
smattering of of different assets so
first of all I'm going to go to the
questions and pop it out make sure I can
see what you guys are saying so we'll
make this as interactive as possible
and I'll try read and demo as much as possible
possible
um and I have K8 here supporting as well
so K8 if you can accumulate questions
for me after but let me show you a quick
demo obviously the market is a bit sucky today
today
we are here right now in the system now
I want to show you as well there's so
many levers that you can pull and tweak
that it's important to build a
spreadsheet for yourself if you are a
user or you have all of your models all
of your settings by asset so for example
this would be an example of what that
would look like I just threw this
together real fast but you can put in
your noise level your aggressiveness
your Market scope Etc and fill them in
for all the different assets so that's
just a quick example of what you would
do but let's look at Bitcoin first and
we look at the different models so
obviously when you get your indicators
you'll go into your indicators you go to
your invite only mode and you'll see
exactly what's there these will be your
invite-only scripts and then you just
activate them star them save them as a favorite
favorite
now within the model itself you can hide
make them invisible this is just a trend
model showing they get a lot of
questions regarding the trend model is
this the Larson line no it's not Larson
line uh you guys can see it it's in
Discord it's free we have members that
have replicated this is not the Lux line
we actually tested a new trend modifier
and it is a lot a lot more sensitive a
lot more sophisticated but remember the
reason we have all of this together
is to get Confluence across three areas
because we believe
um but let's just go to bitcoin first
and you'll see here the win percentage
is flashing 50 that is not good not good
at all so how can we fix that so we need
to go into the model itself and we click
settings so we see under this
we've got tightness then what I can do
is move this to the left and this is on
the trend model and below here is the
actual back test this is one of the most
important parts of this you can back
test all your strategies as you go so if
you want to hide it hit false it
disappears true it's here and you can
position it anywhere you want on the
screen by toggling these numbers but I
won't bore you with that detail right
now but you can see here based on your
initial capital or your percentage
current balance that's how much you put
in first so if it's 10 of your initial
Capital 10 of your 100 000 or whatever
you're playing with ten thousand you can
modify that same thing with exit how you
get out do you get out with your first
trade in is your first trade out your
last trade-in is your first trade out or
your percentage of Holdings that you
actually have so for example if you want
to layer in and layer out sometimes I
like layering out in fours or fives
based on Fibonacci levels you could put
in twenty percent twenty percent twenty
percent twenty percent on the way out
and you get lots of signals for that too
but let's just uh play with Bitcoin here
for a second we're going to look at very
loose and we're going to watch in real
time how the back Trend actually changes
and the money we make if we go to very
loose for the trend we lose
52 of the time that's not good if it's
loose we win 67 stand at a time if it's tight
tight
we win 83 of the time if it's very tight
we win 98 of the time that's what we're
looking for now remember as well when
you have Confluence across three
different indicators that they do the
same thing at the same time that's
golden so if you have three things that
have like eighty percent win rate 80 win
rate 80 win rate your overall win rate
is way in excess of 90 now let's look at
the Confluence model for Bitcoin
you can see here Bitcoin is on the
Confluence back test win rate is 50
that's not good so we need to uh tweak
this a little bit and find out exactly
what's going on so first of all always
this is optimized for the four hour time
frame I forgot to mention that four hour
is up here change it it does work for
day Traders day Traders approved it's
efficacy but it's optimized for this and
let's look at the Confluence model here
we can go to bullish
uh and you see here when we flip to
bullish for Bitcoin we win 84 of the
time if we go to bearish
we win 100 of the time and if we go to neutral
neutral
we lose so you got to pick a stance on
what you want to do but it's also very
important to look at the time frame of
when we get into it as we know if we go
to for example 2021 and we go to the top
of the bull market which was April 14. yeah
yeah
for excuse my typing you can see this is
really live
okay this is the top of the bull market
and then
we plug in that address we will see a
different set of numbers across the
different stances and here if we're
bullish from the top of the bull market
we're going to lose
but if we're bearish from the top of the
bull market we're going to win 100 of
time so it's very very important to have
all of these biases and settings correct
if we're at the top of the market you
flip to bearish here the bottom Market
you flip the bullish right now I will be
flipping to bullish okay very important
and finally the last thing is the whole
mean reversion at the bottom again we're
still in Bitcoin and with the mean
reversion we want to flip actually let's
go check out the numbers live
um pull it up again mean reversion
and we'll go
um flick it
we have noise of 30. if we go to aggressive
aggressive
you can see the win rate goes up to 95
the win rate goes to 100 now we can
change the noise this is the noise
suppression to find the sigma and the
noise here we want to we'll go back to
aggressive for fun and we'll flip the
noise to 30. so we'll pull out any any
bad signals and we'll Zoom back so here
this is this is the money shot everybody
this is where we want to find Confluence
when you see a red dot up here on the
main reversion this is a sell signal you
want the Red Cell up here too and you
want it to flip
bearish which means Orange going down so
this is confirmed as a cell for Bitcoin
now down here we have a Green Dot but we
do not have a Buy Signal we did not buy
here we sell again we layer out and here
we're selling selling no buy signals
until it comes all the way down to where
we were recently and remember we're just
looking at the past history if you go
back in time you'll see all the buy
signals cell signals Etc and again
it's all about position sizing and
allocation let's look at another asset
let's look at a stock let's look at a
meme stock here for Giggles uh here
we're in let me see GameStop we want to
go to the Confluence model let's look at
the trend model first
because the trans profitable but the
conference models now let's look at the
Confluence model for a second and here
it's bearish if we flip this to bullish
we'll see what happens we'll change the
go one
and we see exactly what things look like
so here it is pretty good at picking up
buy signals on the conference model 100
win ratio 12 buys five cells and we've
made 140 000 sometimes the model works
really well for these very volatile
stocks because you got much more
opportunity to sell overbought assets
and buy over sold assets up down up down
the whole way let's tweak this a little
bit more so let's go to the Confluence
and we'll see we're in bullish which is good
good
that's fine now if we flip this down to
lifo let's check our results in real
time this is important to do
so confidence model
we change from fifo to lifo at 10 we see
the total is 140 42 000 rois 52.6 if we
go to lifo
it goes up to 57.58 we make more money
okay so that's important to look at as
well and tweak if we change this to 20 percent
nothing happened because we're in and
we're out so let me
check that back they should be
just 10 percent
okay so this is the conference model for
GameStop let's look at the trend model
for GameStop as well and then I'll open
up some questions we'll look at some
more assets then in between questions
so the trend model we want
fifo or lifo this should always be very
tight so here with the trend model we
can see the result is 85 86.57 win rate
if we go to loose very loose
we lose half of the time if we go too loose
loose
we lose if we go to type
we lose if we go to very tight
we win 86 percent of time and here we'll
take this to fifo so see if the 358k changes
changes
and that didn't have any impact on the
price but let's check that one more time
let's go this to lifo 358.
it doesn't it doesn't change because
works you seem to be trading in and out
on this one now let's go into the mean
reversion model here and we'll check as
well here we get cell signals but no
cell signals up here that I can see
nope we got buy signals and we got buy
signals but here the confidence model
it's on bullish so it's leaving us to
buy if we go to neutral
again here you see a clearer angle of
cells cells cells and then buys here
sells here buys here remember as well
and these are all supported by these
dots cell dots no buys confirmed up here
and we got the flip and the trend this
is a buy
confirmed here this is a cell confirmed here
here
Etc you get the ideas now let me pull up
um
from Jabba who's going to sign up are
you going to trade live with members
um we could do that I I just feel uh
there was a guy Sheldon the sniper was
talking about how he can turn 400 into a
million dollars I'm old enough and wise
enough to know that that's extremely
hard to do
um but it looks like
he has uh he's probably gonna make that
on by bit commissions nothing else and
also when you have a lot of people
semester simultaneously trading the same
thing that can drive the market up
that's why we're going to kind of cap
this and keep this Limited
it was another question that came in as
well oh she sent me the questions
oh
great got the questions here uh
have you found it more effective with
crypto or equities uh it works for all
it works really well for volatile
equities especially uh meme stocks like
AMC and
uh GameStop but it also works very well
for Solana in fact let's let's pull up a really
really
um an interesting one this is
this is a pair so first of all at the
end of the day everybody everything is a
pair but I'll use this example to
illustrate how things work so for
example Bitcoin to USD that's a pair
uh Salam it's ethereum that's a pair
Tesla to USD that's a pair microstrategy
to bitcoin that's a pair dollar Swiss
franc that's a pair so you get the ideas
and um
the key is to find co-integration and
correlation between pair assets so you
can trade one off the other when one
gets high and one gets low so here is an
example of how the salt eth model would
work so if we look back at time let's
check our time frames for the Confluence
model this is the one with these buy and
sell indicators and we'll go back to
2020 okay the bias is neutral
and great pull this out of the way get
this thing out of the way there
there
and we'll be okay with the time frame
lifo fifo I find lifo works better so
we're going a good bit back in time and
if we look at all the sex signals here
this is basically this is bi that's when
you typically would swap your
eth for Solana and cell is when you do
the opposite that's when you swap your
Solana for eth
so basically one was top heavy this
means that Salon has run faster than eth
then you get out and you go back into
eth and then it goes down here you swap
back you swap more eth for Solana more
here you double in and then you get rid
of it up here and then you go back in
again and this has proven to be uh very
lucrative when you can time it right
let's check the Confluence model
comparison to the mean reversion
confirmed up here no buy confirmed here
and this is why it's so important is to
get the signal confirmed uh let me check
the noise on the mean version here we
have noise suppression of 30 and that's
good so you don't get too many trades
if we turn it to zero or am I going to
see a lot more red dots there you go a
lot more green dots a lot more red dots
but 30 is best for certain pairs because
they are somewhat correlated
now here you get this Buy Signal but you
don't get the buy second Buy Signal
confirmed here you get the sell signal
and you get it confirmed down here this
is what you buy here you sell here you
got a chance to buy a little bit lower
and you could layer in if you want but
it was not confirmed here therefore we
do not do it and same with the trend if
we zoom into the trend here you'll see
it flip now the trend is blue all the
way here it flips orange this is when
you get out and it stays orange tiny bit
of blue here not enough tiny bit of blue
here the rest is orange all the way down
and here you get the confirmation on the
meaner version you got the confirmation
on the confidence model and you get the
confirmation on the trend flipping blue
boom boom boom and then you can see all
your ratios and again you can toy with
your allocations you could even play
with things like taxes
so as an exit fee percentage
so imagine you're in short tank
short-term capital gains and it's 30 you
can add that here as well and that will
show you the impact on your actual model
too so we'll cancel out of that so that
was the first question the what does it
work best for it works really well for
correlated pairs really well for certain
types of stocks let's look at another
stock actually let's look at um
Walmart which is kind of a conservative
stock it trades like a bank but here it
nailed the bottom
uh there was a sell signal here but it
didn't get a sell signal here so we
didn't sell so we held held held held
all the way and we sold up here and we
bought back in down here so you can see
um it is effective for stocks and crypto
especially crypto pairs that are very
volatile and stocks are very volatile uh
next question is can you set alerts to
get notifications when all indicators
get triggered or do you set alerts
individually and then check manually so
every time a flag is thrown
you get a notification like a cell
signal you get a notification and you
can now configure this to send you an
email or a text message whatever is your
preference and we'll do more on showing
that setup as well but if you what I
like to do is I like to look at fewer
stocks but know them intimately so I
know Bitcoin intimately I know ethereum
intimately I know Solana intimately
Tesla Google Amazon in fact Amazon is
here and another good one you will see
a couple of things
um here you see cell signals and wait
wait wait buy bought this dip enabled a
bit on the second dip and hammered the
third dip so you can determine exactly
what your ratio is to jump in if you
have imagine you want to buy thirty
thousand dollars of Amazon you could
spend the first five thousand on the
first dip
second ten thousand on the second dip
and then twenty thousand on the third
dip that's the way I kind of do it the
further things go down with a very high
conviction in the year-end price Target
or something before like 21 stocks bid I
get very excited and go in hard so next question
question um
um
so what we did was we did extensive
testing on the mean reversion for
example using python models and we did a
lot of testing uh for example to find
the optimal Trend model in pairs
Etc that's how we use Python to make
sure the stuff actually works and we did
something like 40 000 tests on one of
them as well
uh will you add hypho we can do that
there's a lot of things we already have
a roadmap let me show you kind of some
of the ideas we have for the future
roadmap Concepts obviously continuous
testing Evolution refining
um we'll come up with probably a
simplified version uh we'll do more
scoring for example uh think of it as a
buy score you know if it's a 10 it
should be a no-brainer if it's a four
maybe don't do it we're thinking about
that seeing if that can be integrated as
stop losses
integrating Fibonacci levels and Matrix
trading model which is
a long way off but that's a vision I
have and individual modules as well kind
of the ideas that we're going for
let me see
um what case would you want it to be
loose so the typically this is a very
good question assets that
range tightly they're not volatile you
need to be loose so you get some signals
things that are very volatile that have
very big deviation from the mean
and then you don't have to worry about
that you're going to get signals but
things that are kind of flatlining let's
see if gold is one of those
gold is kind of conservative and it
doesn't deviate that much
it's waiting for the mean version so
here for example if we set this to uh well
well
if we set this to sending a zero noise
and then here on the trend model
there you can see the the looser the
trend model the more broad you go so you
can only invest in big broad Strokes so
here you can see gold uptrend on the
blue all the way here and then flips Orange
Orange
down a little bit of blue down so that's
an example now we flip this back to
tight uh or very tight you'll see the
ranges are a lot tighter and your
signals are tighter too so if you want
um if you don't get a lot of volatility
and a lot of signal you go to loose if
it's something where you're day trading
you want to consider things like
tightness as well and also tighter time
frames let me see
um how would you know when to layer out
when to get out totally so that depends
this is part of what we mentioned here
is very important again it's a decision
support system you need to understand
what's going on in the outside world for
example Solana had an outage today okay
ta doesn't pick up an adjectives but
it'll pick up on the price action
determine the outage so let's see if uh
like here the pair saw eth tanked let me
add Solana
I know they probably get hit too pretty hard
hard
so there it is down in the gutter and
Solana is
pretty much at a
I think it hit 38 or 36 a while back but
it's getting close down there again
outages do not help Solana so that's an
example of when you think about just
cutting loose you never know investing
is a risky game but you need to know
what's going on in the macro environment
like earnings on a stock
like overall trends of where we're
um
or am I executing trades directly traded
you no I'm not but that is possible to do
do um
um
how did a DSS call the recent bear Market
Market
let's have a look at that actually let's
go back in time let's go back in history
and we'll go back to
see what I would have done here so
so
this is brilliant um
um
let's zoom in to this moment in time you
can see here it picked this first top
and I picked this second top let's zoom
in more we're still on the four hour
chart you can see here the trend was up
and then down tiny bump down tiny bump
this is a signal to buy
so it did buy at like like signal to 56k
after selling at 67k that's an example
of the whole layering in and the second
buy down here let's check the settings
on this it's neutral
typically if you are at the top of a market
market
you flip to bearish and then you don't
buy till 46k so it deletes the 56k buy
from the 68k top
this is how it would have done and then
the trend after buying here at 47k it
sold at 51k
and then it Nails the bottom again which is
is
uh whatever this one was
the 30k dip
and and then it's sold up here at 44.
it didn't buy even though there's a Buy
Signal here there's no buy confirmation
so you did not buy and if you had some
you layered out again then you lay it
out again all the way up and that was
the last Buy Signal till here which was
the 29k dip
and then it's sold actually it sold today
today
at 30 I don't know what the day is that
let me zoom in here
the cell signals at 31 800
uh today or yesterday
I can flip into you'll see how this
changes a little bit if you go to the
two hour
there's a two hour the exact time of the
cell was 32 150 yesterday
okay so that was a great question
uh how it performed but you can see the
uh if
I I do have a Larson line but if you
overlay this trend model to the Larson
line there is no similarity and you can
see it's much more refined for that
short-term swing Trader so for example
if we go to the time frame Confluence
okay
uh here because we're on bearish mode
anyway I'm getting I'm being told I need
to add some more questions so here I'm
in bearish mode Let's flip this back to neutral
neutral
to get more signals okay um
um
let me see apropos day trading what
would you call this time frame level of
trading day trading uh the one minute
and the five minute has been used
effectively by other people let's let's
pull up an example let's pick up
something volatile well GameStop is
volatile as they come
uh even Twitter
I don't know if that's moving much these days
days
um again you got you gotta sniff around
you got to find your deals looks like
GameStop is the most fun one
here now the trend needs to be tweaked
so we don't want a very tight we want it tight
percentage let's check the trend again
tight very loose
now remember this is optimized for the
four hour but people have figured out a
way to make it work for day trading
let's leave it very tight
44 note let's leave it at what I say
very loose the thing was 22 percent
32 percent I think was the medium one so
you got to keep on playing with these
and you gotta test the back test see
what works best so here
you'll see a mix of things again this
cell signal is confirmed this by was not
confirmed this buy was not confirmed
this buy was not confirmed again you're
not getting a lot of solid buy signals
let's go to the five minute
for day trading see how that performs
wait for the mean reversion to pop
see it's doing a lot of calculation
that's why it takes a little bit of time
so here
on the day trade
well it's more of a a longer term
trade because you would have entered on
the 8th of May
and the 10th
Etc and then got out a few days later so this
this
excuse me
not really let's check
let's check the one second time frame
never looked at the one second but there
you are okay if you are a highly active
day trader this is kind of fun here you
have a Buy Signal not confirmed down
here here you have a sell signal
confirmed up here so in this instance we
would have been able to sell or go short
today on the first of June
and but this was not confirmed let's
tweak the mean reversion to aggressive
nothing we still have one dot
let's check conservative if we're
conservative we're only going to get the
big hit so let's go back to the trend model
model
no not the trend model the amino version model
model
make it aggressive
that's more fun but here again as I said
Theory once again
let me play with the noise
all right well that would have been a short
short
uh covered by not confirmed in a short
again that's probably not a good example
let's try AMC
here wait for the mean reversion to calculate
calculate
there it is it's very similar pattern
um one second chart is to it but anyway
you can see here you get your buys you
don't get your mean reversion
correlation because you're on the one
second chart here let's try the one minute
you can see it takes time to calculate
Here We Gotta Buy
but the cell was not confirmed again
uh people found it to work but not
in this time frame it really is much
more geared towards
kind of
more when you get confirmation with mean
inversion but if we look at the one hour
chart for AMC buy buy confirmed sell
sell confirmed
no buys no buys no buys another sell
here so from that perspective it seems
to be
but again
test it out and make it work uh let me see
see
any more questions let me go to the chat
sorry for
yes Nico Peruzzi so regarding Long call
options yes
um you can
use this to identify an entry position
so let's let's zoom out let's go to um
um
imagine I've gotta say Twitter here and
let's go back pull up a six month chart
turn it onto the four hour here
here
you will see some historic buy zones um
um
well Twitter has been very heavily
manipulated with everything else let's
go to Tesla
uh that's probably a good one
actually we have Amazon open too
Amazon we sold the Buy Signal here this
was down a 2051. it was confirmed down
here but the way the system works now I
have to stress this again
be careful you want confirmation for all
three and that really increases your
odds of winning so ignore the stuff I
need to tweak these they're not tweaked
but if you get a Buy Signal here and a
Buy Signal here you wait for it to flip
blue that's your entry point which would
be like 2100 or something for Amazon so
um you can look at the history kind of
sold you all the way up it depends where
it's a four hour if you're doing a long term
term
um leap option yes it'll help you find
let me see if you want to trade Bitcoin
and our bases would you sell is that all
the parameters to aggressive for the
models typically to get more signal
let's go to Bitcoin in the one hour again
so here for example
it dropped you in here
on the one hour and it sold you twice here
here
but there's no confirmation the mean
reversion again aggressive yes take out
the noise
questions are above
so that's an example again if we flip
this to the four hour or even the five minute
yeah this is actually you can see how it
works much better for the four hour
but you could kind of compress your time
frames here you're getting a signal to
buy Here clear signal to sell
here clear signal to buy
and signal to sell here but none up here
and then you sell here at the top by
layer in sell boom and that's it
remember you're looking to just stack as
many odds in your favor as you can going forward
forward
uh let me see
use lots of pairs to achieve this are
simply shorter time frames
uh I again I tend to be more of a swing
Trader this is built
based on my preferences
um but it has a lot of levers you can
tweak but all of the models behind the
scenes are optimized for four hour
because remember the longer your time
frame the higher your odds of winning
it's very difficult to turn what's going
to happen minute to minute but if you
have a four hour chart that gives you
activity to buy dips during days trading
days for stocks or crypto on a Sunday or
whatever and it also gives you a long
span to analyze meaner version it'll
find outliers really well and it'll help
you layer in uh would you lose
limits and anticipation uh yeah so
there's a that's a really good question
let me zoom in here for example
you get these little things these are
kind of early warning signals so I was
looking at cardano it actually had a
nice uh cardano early warning signal today
today
let me pull this up too um
um
like here
so if you look at the card on our chart
it had it on bitcoin as well I know I'm
in Bitcoin but these little red
triangles they're early warning signals
that a cell is coming and here you see
little greens a buy is coming so you can
use those to set a limit it's like oh
this is getting juicy
um let me put in a stop loss here or
sell order at I see the warnings at 32
to 33 put one in at 31.9 and that'll get
you out of the trade and it's waiting
for the meaner version to come back okay
so you gotta wait for this to go Orange
uh sorry
flip back before you get in let me see
hang on a second
Trend model loose very tight see if this
has an impact
uh there there you can see when you have
it to very tight on Bitcoin in a shorter
time frame even though in the four hour
you can see how the trend flipped fast
and we need to change the meaner version
too but let's go to cardano because that
had a good signal to sell today as well
here's the cardano cell signal you get
the early warning here
on the mean reversion
and you get the flipping of the color to
Orange which is time to get out and the
red triangle so all of these three are
confluent within half an hour of each other
other um
I don't know what that was sorry I'm
getting texts um
does it work well with 3x ETF like you
Pro and I've tested um Commodities
currencies pairs crypto meme stocks it
works pretty much for everything but
I've never traded 3x ETFs to be honest
I'm not much of an ETF fan is there a
portfolio size that one should have for
this to be worthwhile uh great question
we have a day trader he's got ten
thousand dollars
um he used this all last week every
single day he traded microstrategy uh
Siva Chewie
um I'll show you some of the things he traded
traded
he did really well with um
together by attack
uh chewy
so this guy was making you know between
700 and 900 a day with ten thousand and
he was scalping he was just doing day trading
trading
so what he was looking at he was on the
five minute or the three minute I can't remember
remember
and he was playing with these uh biotech
sold last week and he was playing with microstrategy
microstrategy so
so um
um
but he was mostly this is the
embarrassing thing he's mostly just
using the buy and sell signals he wasn't
driving for confluence
and let me could we see does it cater
for tax implications yet what we have
here is in the in any of the models if
you want to trade off Confluence you can
do an exit fee and set your percentage
so for example if you are in a 30 short
term Capital Tax Rate you can add that
to your model and it'll calculate
exactly what your Roi will be over time um
um
what are some of the flaws of this
indicator or what is it not work well
with yeah it doesn't work well with um
um
heavily manipulated things or if you
look at Twitter
I'll give an example of Twitter let's go back
back
say three months and we'll stick it to
the four hour actually
actually um
um
so here I can't remember when Elon Musk
said he was going to buy Twitter
unless if anybody knows the sequence of
events I think he said he was going to buy
buy
I don't know
but it's sold up here sold near the top
it bought back in again it sold it
bought back in bought back in bought
back in it sold and this is part the
layering you got to determine how far
you are away from the all-time high and
how much you want to layer in so for
example another way to think about
layering is how deep you are from the
mean when you are down here you're very
deep this is when you layer in hard when
you're up here in this green band you
layer in less Hardware you're down here
harder here very hard so that's another
way as you play with it um
um
you you get you get you get more used to
finding your Rhythm that's why I keep
saying kind of find your Rhythm when you
play with this this is a ton
of analytic data all presented in a
simple UI and that's that's the power of
this and the the real power the most
exciting thing is the back test and the
levers you can play with so this does
require that's why I say it requires
somebody who's analytical sophisticated
knows how to trade you don't want to
you don't want to be new to the markets
and play with this because it can be
overwhelming but the way you make it work
work
is look for the Confluence analyze
things in great detail piece by piece
tweak things all the time and then
that's that's how you make it work is a
way to track token quantity as well swap
in no there's not right now so we're doing
doing
um allocation size
when you trade for example you will go
to uh imagine you want to play why don't
you want to put ten thousand dollars into
into
ethereum for example uh you can't choose
the number of tokens but you can spend X
percent of your current balance so for
example okay I'm at the dip now I want
to spend 30 percent
and to get out I want my first and first out
out
and I want to go out in layers of 25 percent
percent
or sell a quart of my Holdings and there
you can tweak that and then you can see
your back test results as to how it
performs and you go back in and you you
modify it you make this 20 you make this
and now we've turned that negative into
a slight profit
okay so these These are little things
you can tweak and play with over time
let me see does this work with long call
options again it looks at the underlying
asset to determine
if you want to get into a position like
I answered before um
yeah the point is not to change settings
to get the win ratio but find what you like
like
find the time frames you like find the
assets you like
um like pick something you like to trade
pick something you know really well it
could be Google or Amazon or anything
like that and then and and and find your
Rhythm find your allocation method again
it's it requires a lot of testing you
gotta have to build a spreadsheet with
all your settings by asset and you're
gonna also track all your allocations
by asset where you want to layer in
where you want to layer out so for example
example
um one of the things we do want to do is
play with this
in line with kind of FIB levels and see
if there's Confluence across those FIB
levels as well so you can see if they do
land like here you can see some
interesting things happening you got a
lot of buys at the 0.385 and the Cell at
the 0.385 that's not a coincidence
that's the universe that's driven by
mathematics you got to sell to 0.786
so things like this we're going to find
ways to bring in additional conference
across additional methods too the more
confidence you have
the more confidence you have I just made
that up I should be it came out really
funny all right
um let me see um
um
let's wrap up um
uh yeah let me see if there's one more question
okay is there a way to track token I
think as a note in other words your
Bitcoin size increase you swap back no
there's not that's where you need to
actually track everything on a spreadsheet
spreadsheet
as you go forward and play with this [Applause]
[Applause] um
um
yes Jasper is saying yeah we share
everything here so
um but what I want to urge people to do
is not necessarily uh listen to me or
trade my way but really I can't stress
it enough I found a way of making money
initially in the 90s with covered calls
and then callers
spreads naked put selling naked call
selling uh now synthetic lungs but they
can be very punishing when the market
tanks really hard but you know what you
know I can lose 100 on a trade but I know
know
I can make a thousand percent or two
thousand percent so I'm not concerned I
take a lot of risk
but it's because I can afford to I don't
recommend that but you know I've evolved
and I found for me the best way to make
money is play
six week to 12 week Cycles and find that
mean reversion find when things are
oversold short them hedge them whatever
swap them for something else
and vice versa uh microstrategy Bitcoin
is a classic pair it is such a peach to
trade because you can clearly see when
it's overbought and oversold
um I could pull it off for you here but
again it is just
so obvious but you know we went beyond
oversold in the recent market conditions
because so many hedge funds are shorting
the hell out of it but again it's just a
matter of time for Gravity wins and
pulls it back up
so with that everybody um
um
I've got a boogie I hope that was beneficial
beneficial
there's a yeah the real X I can get the
I've got a full report I got daily
reports from this day trader who um you
know again
not a bowler he's a man in his 70s I
think he's 72.
um he's been trading for 45 years he's
bought and subscribed to every single
trading software service in his life and
I'm not selling this but he said this is
gold best thing he's seen in 45 years
and he made it work so he he has been
day trading uh for years and years and
years and he told me embarrassingly that
he always breaks even which is good
but with this he was making money and he
made more money in a week than he did
all year so uh it worked for him he
broke the rules he didn't stick to the
four hour he found his own Rhythm he
only used one indicator
so we'll see and he was also playing a
very aggressive stuff including
microstrategy so what he typically does
just to let you know he's there
pre-market he watches the market he
knows what the first hour of action is
and he gets in and gets out within an
hour and then he goes to exercise that's
that's what he does and uh so anyway
with that
um hope that was helpful let me know
other questions we'll do a lot more of
this as we go forward
um it's early days yet but you can see
there's a lot of cool things for people
to play with really those people that
are very analytical
and want to try different stuff you can
back test your heart's content if you
just want to use it to trade different
Windows get in and out it's also very
helpful okay everybody thank you all and
I'll see you all later bye
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