0:02 First Trade was very lucky I think I
0:05 made 10,000 in one trade really yeah I
0:06 think I with
0:11 $25,000 yeah and and the next few weeks
0:14 instantly 50% down and this is all your
0:16 first year of trading or how long dides
0:18 it take for you to eventually become
0:21 profitable 6 months 6 months yeah 6
0:23 months uh I think the fastest approach
0:25 to trading is to look at other people's
0:28 mistakes because what whatever mistakes
0:30 they made I might run into it later
0:33 um everybody know that I made 6 million
0:35 on the on the first day I made three M
0:37 3.5 million on the following day and I
0:39 made a 9 or 3 million on the following
0:42 day after the 3.5 million so that week
0:44 total I made 17 million I think oh my
0:48 God I don't ever focus on how much money
0:50 that was generated by trading I want to
0:53 perfect the system okay make sure it
0:55 hits the maximum performance of all the
0:58 patterns that I track once I reach 85%
1:00 I'm creating trading hi have you ever
1:02 wondered how much money a retail Trader
1:05 can make in a single trading day in this
1:08 episode we have a very special guest The
1:11 Man of Mystery Stephen ducks ducks is a
1:14 verified Trader and he holds a record
1:16 for the highest p&l in a single trading
1:20 day in 2022 making over $6 million
1:24 trading dwac in one day I personally
1:26 have a lot of respect for ducks he's
1:28 very young but he has matured as a
1:31 Trader and master the Arts of trading
1:33 penny stocks using psychology and
1:36 statistics and extreme discipline in
1:38 this video you're going to learn
1:40 Steven's approach to trading smoke cap
1:43 stocks using Trader psychology Steven's
1:46 various methods of tracking statistics
1:48 how to recognize patterns and capture
1:51 High profitability trades and how to
1:54 avoid over trading make sure to hit the
1:56 like button and join me today for a very
1:58 insightful conversation with Steven ducks
2:07 welcome to the humble Traders podcast
2:11 Stephen hello you are a really famous
2:14 Trader on Twitter and YouTube and you
2:16 are really famously known for that I
2:19 think was the dwac where you make six
2:22 was it $6 million in one day yeah right
2:24 so I think a lot of people know you for
2:26 that and of course a lot of other
2:28 profits you've had over the years if we
2:30 could tell audience how this year
2:31 treating you so far and how are you
2:36 adjusting to the market this year is not
2:39 as good as 2021
2:43 2022 the beginning of the year was okay
2:45 uh since ever
2:49 since uh May and June I mean the later
2:52 this year is not very active yeah and uh
2:54 this year's Market has
3:00 been uh has been okay uh profitable and
3:03 not making as aggressive as money as uh
3:05 compared to
3:09 2021 uh still up in the seven figures
3:14 um and the lower seven figures okay not
3:19 crazy high approaching eight figures um
3:23 but volume has gone down about 90% 80%
3:26 compared to 2021 and 2022 the market is
3:31 become much more competitive compared to
3:33 the last two years especially on the
3:39 short side um as we know that shorting
3:42 has 90% or or has much higher winning
3:44 percentage compared to buying so
3:46 majority of the money are H or held by
3:49 shorts Setters and so if Shorts Setters
3:52 are trying to Pile in into a ticker and
3:55 there's not many Longs in there so there
3:56 uh first short Setter cover and second
3:58 short Setter cover above that so it will
4:01 cause a massive parabolic uh as we saw
4:04 in like top mhm so from my understanding
4:07 is you're predominantly a short seller
4:09 right okay I do want to ask you a little
4:11 bit later on about like specific short
4:13 strategies you're doing and how you're
4:15 using your statistics to track those
4:17 High odds as you call it um but that's
4:19 take a step back how did you get into
4:21 trading in the first place and how many
4:24 years have you been trading now I got
4:27 into trading when I was 19 so the the
4:30 freshman year of college how did I get
4:33 into trading you in school yes uh I
4:36 don't have a very good family history
4:38 but uh okay uh so at that time my mom
4:43 and dad are going through divorce um so
4:44 I was just trying to solve some of the
4:47 financial pressure from my from my mom's
4:52 side and uh I used my uh tuitions as my
4:55 base money to trade which is about which
4:58 is 25,000 yeah
5:01 so um first of all I I think at the very
5:04 beginning I lost half of it and then
5:07 then I borrow some money from my friends
5:09 started again you have rich friends not
5:11 rich friends but I had to pay interest
5:16 on that money so so okay so um but uh
5:18 and they started again uh that's where I
5:22 went from I think 27,000 to 900,000
5:26 first year then uh second year was 2.7
5:29 million third was I mean goes up from
5:31 there so so you were trading with your
5:34 tuition money and then eventually once
5:35 you start making money is that how you
5:37 paid for your school for the rest of the
5:40 college or did you drop out of college I
5:41 mean still in school and pay for the
5:43 tuition of whatever the money I made
5:45 from Trading okay and what was your
5:48 major uh engineering oh I was going to
5:51 guess either like mathematics or
5:54 engineering uh chemical engineering
5:56 chemical okay yeah so what what did you
5:58 aspire to be at the time when you were
6:01 still going through school
6:04 uh I mean I like engineering I like very
6:09 statistic based so a major and I chose
6:11 engineering and the reason why I went to
6:13 engineering I want to more Focus down into
6:14 into
6:17 nanotechnology nanot technology yeah
6:19 okay uh at that time we're focused on
6:23 nanot tubes I think but uh then um I
6:26 shift my focus more into trading
6:28 afterwards so okay so how did you I
6:30 understand you were trying to make some
6:32 money to help out with a family so why
6:35 Trad in stocks and how did you discover
6:38 stock trading in the first place okay so
6:41 yeah so um well first of all 25,000 is
6:45 not a lot of money first of all as an
6:48 international students we don't I mean
6:51 our commun communication skills are not
6:54 very good compared to the the natives
6:56 people in here oh like in terms of
6:58 English in ter yeah in terms of English
7:01 so trying to do the the talk businesses
7:02 or like real estate you have to
7:05 communicate with other people so that's
7:08 you know a big I say shortage for for
7:11 some people like us and we also came in
7:15 as a F1 student so you can't really have a
7:16 a
7:20 job but only in campus you only can have
7:22 a job in campus okay yeah I remember and
7:24 you're making about like $6 an hour or
7:28 $7 an hour so that's not efficient um
7:30 and with 20 5,000 I look through pretty
7:34 much all of the uh industry and the only
7:39 one you can make money is trading to
7:43 um uh using small amount of capital to
7:46 get over 1,000% or 10,000% return that's
7:50 where I looked into it and I see a lot
7:52 of potential into it but I also see a
7:54 lot of risk so just let need to take a
7:58 bit I I I was also international student
7:59 in the state I went to school school in
8:03 Florida uhhuh so at the time I was I
8:06 discovered trading around the last year
8:07 so senior year but I didn't actually
8:09 trade because I didn't have the money
8:11 but I was like trying to save up from
8:12 like my
8:16 $7 an hour like on campus job but that
8:17 helped me save us so that brought back
8:21 some good memories yeah yeah I mean yeah
8:24 similar similar to boat so you found out
8:27 about trading stocks mhm did you start
8:29 with like with day trading right away or
8:32 did you invest or you know people do
8:33 like a dividend investing or swing
8:35 trading or did you just dive into the
8:39 wild wild west of day trading not oh
8:40 pretty much straightforward into day
8:42 trading the first ticket I traded was
8:46 ETF I think it was okay uvxy I mean it's
8:49 ETF but uh that's the first trade made
8:52 $20 but uh good
8:55 job and uh I mean there's bunch of
8:58 trading histories that have I think ad
8:59 that straight pretty pretty much
9:01 straightforward into day trading and uh
9:04 the first trade was very lucky I think I
9:07 made 10,000 in one trade really yeah I
9:09 think I with
9:14 $25,000 yeah oh okay I think I had a uh
9:18 I think a $3,000 position okay so tiger
9:21 went like 300% then I made 10,000 I
9:23 think the trading could be that easy so
9:27 oh okay and and the next few weeks
9:30 instantly 50% down I mean TR on some
9:32 stupid tickers and over trading were you
9:34 following alerts at first or did you
9:37 actually like try to learn strategies
9:42 and trade I don't follow alerts and I I
9:44 uh I I want to learn strategies because
9:47 I look in this industry a little bit
9:50 differently because I see well in
9:52 trading industry if you if you make
9:55 money somebody else is losing money
9:59 right so zero some game yeah very simple
10:03 concept yeah so um that means if you're
10:05 following alerts a lot of people going
10:08 into one directions that means the if
10:10 90% people in the trading industry are
10:13 losing money yeah 10 10% are making
10:14 money that
10:17 means uh majority of the you know you
10:19 have to go opposite of the what the
10:21 majority go so I start going the
10:24 opposite Sid of shorting alerts oh so
10:26 you start out a contrarian from like
10:28 very early on when people are like
10:29 pumping what those alerts you were
10:31 shorting them I'm shorting them yeah oh
10:33 you fig that I was super early yeah I
10:35 mean very beginning of my career I
10:38 started making like 20% 30% again I mean
10:41 then you start not that start not work
10:43 doesn't well you start to not work as
10:47 well because okay um my size is getting
10:48 bigger and there's not many people
10:50 chasing alerts anymore and the stock
10:52 becomes very liquid so it's hard to get
10:56 out uh but uh that's where my first I
11:00 would say 50,000 40,000 oh
11:02 so you started trading pretty big size
11:04 almost right away then right cuz you
11:07 mentioned you were taking $3,000 3,000
11:10 shares $3,000 worth of positions yeah
11:13 okay I guess you were trading with a 25
11:16 $27,000 account to avoid PDT yeah and
11:18 how often were you trading since you
11:21 didn't have the Restriction of PDT were
11:23 you still trading every day not trading
11:26 every day okay um but when there's a
11:28 play I'm in there so it's still overtrading
11:29 overtrading
11:33 but uh I think I was making about four
11:35 to five trades a week and did you dive
11:38 into full-time trading or were you still
11:40 I guess you were you managing the
11:43 classwork and trading on the site yes
11:45 yes pretty much TR how did you find the
11:47 schedule then I mean not I mean look at
11:50 the phone during class I mean other
11:52 other than the exam but you know just
11:54 look at the phone during the class uh
11:58 using TDM trade and not anything oh okay
11:59 and how did that work out trading on the
12:03 phone does not work very very well okay
12:07 slow and uh first of all it's slow
12:09 second it's I mean take a while to put
12:13 in limit orders and limit orders yeah
12:17 yeah so it's not quick at all it was
12:19 sometimes you miss I miss couple
12:21 thousand dollars just just trying to get
12:23 out at one point and 10 second later you
12:26 know we're 10% down and this is all your
12:28 first year of trading or how long did it
12:31 take for you to eventually become
12:34 profitable 6 months 6 months yeah 6
12:36 months mhm that's really really
12:42 fast uh yes because uh I look at so I
12:44 think the fastest approach to trading is
12:46 to look at other people's mistakes
12:48 because what whatever mistakes they made
12:51 I might run into it later defitely so I
12:54 look through Gran's entire trading
12:58 record yeah and I think was uh on the
13:01 Tim side of the student they have their
13:05 record on U on profit I think was a very early
13:05 early
13:09 stage of trading and I was also looking
13:12 at uh investor underground and other
13:13 people you know people on Twitter they
13:15 talk about their trading and poster
13:17 profits I I don't typically look at
13:19 their wins I only look at losses and I
13:22 want to be able to even though they
13:24 don't post the entry and exit chart but
13:27 I want to be able to guess where where
13:29 they short it is I see where where they
13:32 got uh where they exited or uh maybe
13:35 they made a huge M mistake they
13:37 continued to add and eventually got BL
13:40 out the position so all those mistakes
13:42 are very valuable experience for me so
13:45 that's when I become very uh profitable
13:48 because I actively avoiding those
13:50 mistakes yeah you you you're really
13:53 young but you're also really wise a lot
13:54 of people who start out trading they
13:57 want to see like the flashy pnls a big
13:59 profit but you were looking the opposite
14:01 you're looking at people's losses and
14:03 looking at learning from their mistakes
14:08 yeah um and also I know that there's
14:10 three base factors first of all is human
14:12 mistakes that's number one you have to
14:15 fix okay number two is um patterns come
14:17 from psychology because if you're making
14:20 money that means other people are making
14:24 mistakes and you know how stock it
14:27 really is it's really emotional driven
14:29 yeah so psychology is very plays very
14:32 big part of uh in trading so
14:35 understanding the people that's going
14:39 the opposite directions or um I mean
14:41 they're behind the computer clicking the
14:42 Button making mistakes so you have to
14:45 understand their psychology first and
14:47 third you have to use your statistics
14:52 Theory to back up the psychology side um
14:54 then with those three combined then it's
14:58 instantly profitable so but it take it
15:00 take a while take a while to get those
15:03 three thing lined up together how long
15:06 do that take you 6 months really you you
15:08 everything clicked just like that in six
15:11 months yeah oh wow so what kind of
15:13 Statistics I know you mentioned that
15:15 earlier in the beginning how what what
15:17 were you tracking to realize okay I need
15:20 to focus on this one strategy or these
15:22 two strategy what kind of specific
15:25 criterias were you looking at first of
15:27 all I mean when I went went in there
15:29 it's it's a
15:30 there's a lot of stuff to track you
15:33 can't you most people go in with okay
15:35 well there's a lot of stuff I have no
15:38 idea what to track right so you start
15:41 narrow stuff down let's say we have a
15:44 ticker that's 20 million market cap 3 million
15:45 million
15:47 float uh very similar action put them
15:51 together how much they traded uh to see
15:54 there's any similar actions or similar
15:57 Behavior or if it's going parabolic or
15:59 start going M midday or Gap up in the
16:03 pre market uh so pretty much you want to
16:05 categorize very similar Market very
16:07 similar Mark uh uh
16:10 float um and the gap of
16:12 percentages uh categorize them into one
16:16 section try to find the conclusion of if
16:18 volume changed what happened if flow
16:21 changed what happened so you you kind of
16:23 put a fixed criteria on All U pretty
16:26 much everything and uh there's only one
16:29 factor that's different I see so you
16:31 will be able to kind of tell okay next
16:35 time similar flow similar market cap if
16:37 the volume is different I'm supposed to
16:40 do this I see so you need a massive
16:43 amount of Statistics to
16:46 find uh I know I have I think at
16:50 beginning I 25 sections okay with market
16:52 cap between 0 to 10 million FL between 0
16:57 to one uh Gap up over 50% or market cap
17:01 between 0 to to 20 or float between 1 to
17:03 three see this time is different but
17:06 with gap up percentage with 50% so you
17:09 only have the flow difference I see and
17:11 once you only have the flow difference
17:13 uh with very similar volume throughout
17:16 the day so you can kind of see what how
17:19 much did the spiking percentage changed
17:23 oh so that's one method of how to figure
17:25 out what to track okay let me sum up
17:27 that really quick cuz you just mentioned
17:28 a lot of things I want to make sure
17:31 audience understand your method ex the
17:32 first method you mentioned really
17:35 clearly so essentially you're trying to
17:37 find the first method that say you
17:40 narrow down let's say 10 stocks that you
17:42 know are low flows they have similar
17:44 volume and then you look at different
17:46 categories like the volume pre-market
17:48 volume you know percentage Spike after
17:51 open and you look at what they have in
17:53 common yeah and what's the outlier
17:56 criteria whether it be super low float
17:59 or super high volume that cost
18:01 potentially have caused that one stock
18:04 to Stand Out Among the most yes oh okay
18:08 got it okay uh first criteria and second
18:12 is you second way to be able to track uh
18:16 statistics is you want to focus on
18:19 volume specifically because people are
18:21 behind computers trading the tickers
18:24 right so every shares they trade means
18:26 one shares and well of course there's
18:29 alos and H found involved in there but
18:32 you have to think there's one thing that
18:34 the Hedge found that won't do is they
18:37 take the entire the flow so basically
18:40 they buy the entire flow okay and first
18:41 of all they have they have to file to
18:45 the SEC that's very that's you know not
18:46 very convenient that's what they what
18:50 they don't want to do and second you
18:53 want to if you want to pump the stock
18:55 you don't want to own the entire flow
18:57 because eventually once you sell you're
18:59 basically uh playing with yourself yeah
19:01 there's no one else to sell to there's
19:02 nobody else to sell you need the
19:05 liquidity so you do not want to occupy
19:07 the entire floor you want to retail to
19:09 go in there yeah and pump the stock up
19:11 and they sell into the retails and
19:14 retails loses money so once you track
19:17 enough multi- rers there's actually a
19:21 very uh similar number that how much
19:25 money can retail put into a ticker okay
19:27 based on float or market cap based on
19:31 market cap okay yeah so uh that's
19:35 another way to track statistics based on
19:38 how to really short into multi owners so
19:41 in that case that say hypothetically
19:42 speaking your second method just
19:45 mentioned let's say based um I don't
19:49 know 50 mil market cap retail can only
19:51 let's say from that tracking retail can
19:54 only get up to you know 10% of that
19:56 market cap and then that's the ideal
20:01 time to short uh yes yes but more more
20:03 accurately uh do you want to be more
20:06 accurate is you want to use the volume
20:07 uh times the average traded price on
20:11 that day if it meets the threshold of
20:13 how much money that retail can pour into
20:15 stock that means stock will go down next
20:17 day uh because basically the stock has
20:19 reached the maximum threshold that
20:21 retail can push up to the maximum
20:24 maximum percentage yeah yes oh
20:26 interesting I never thought of that way
20:28 or dollar amount there there's a lot of
20:33 uh I can go uh so I I'll do three um
20:35 there's another way to track statistics
20:38 mean uh which I personally use which
20:41 will be volume
20:46 comparison is that you want to um so
20:50 there's three different uh uh categories
20:51 you want to do you want to track first
20:52 of all
20:56 is uh to be able to correctly track in
20:58 resistance okay and lot of people see
21:01 okay well there's a resistance that
21:05 traded 50 million volume on a price of
21:08 three and uh next time I want to short
21:12 against with that $3 resistance right
21:16 okay and so let's see for example let's
21:19 say uh 50 million Vol that means five
21:20 people let's say five people bought
21:22 stock at three two mon later stock
21:25 instantly dumped 90% everybody wants to
21:27 get out because well if I get out I'll
21:30 be down % what's the point of me selling
21:33 right now since I'm already down 90% so
21:35 the first reaction that when stock
21:38 pushes back two three right everybody
21:40 wants to wants to sell okay that's their
21:42 instant reaction that's human psychology
21:45 right there so
21:48 and but here comes a problem because
21:50 we're dealing with low floats so if the
21:52 stock only have 3 million float and has
21:55 50 million volume in there and that
21:57 doesn't mean that there's 5050 million
21:59 resistance in there cuz there's only 3
22:03 milon volume 3 million flow sorry okay
22:06 from previous let's say uh chart the
22:08 resistance from like weeks ago yes
22:10 doesn't have that much volume is what
22:11 you're saying no doesn't it doesn't have
22:14 the flow in there doesn't have 1550
22:16 million flow okay so if you want to
22:19 let's say one one um every share is a
22:22 back holder 15 million shares means 15
22:24 million back holder but if there's a 15
22:26 million shares only 3 million flow
22:29 there's only 3 million back coders okay
22:30 does that make sense that makes sense
22:33 yeah so uh next time when you try to
22:35 short into
22:37 resistance that's the statistics you
22:38 want to track
22:41 because you are shorting a 50 million
22:43 resistance but there's only 3 million
22:46 backers in there okay so there's a very
22:48 possible chance that stock can push
22:49 through that resistance because there's
22:53 only 3 million flow oh I see so a lot of
22:56 people trying to just short based on how
22:58 much volume uh that that's against the
23:01 15 million that's a very interesting
23:04 statistics to track
23:08 and um it you can once you track that
23:11 statistics you can help you avoid a lot
23:14 of traps traps see so I think the first
23:16 two method you mentioned helps you find
23:18 a potential short entry the third one
23:21 helps you avoid getting squeezed yes
23:24 okay yeah oh thank you for sharing that
23:27 there's uh there's many many many uh uh
23:28 stuff that I
23:31 I mean I came up in the last couple
23:33 years what about you are you tracking
23:36 any kinds of stats yourself make sure to
23:38 share with other Traders down
23:40 below is that do you think that's the
23:43 reason why you pretty much stick with
23:46 small caps cuz when it comes to large
23:48 cap stocks there's a lot a lot less of
23:51 these in inefficiencies right and a lot
23:54 of the patterns the stats you track do
23:56 they apply to other kinds of stocks no
24:00 they don't uh the limitation
24:04 is uh well except 2021 but the
24:06 limitation is you cannot go beyond
24:09 market cap that's above 300 million
24:11 initial initial market cap so if the
24:13 stock starts to spike starting with 300
24:16 million market cap then doesn't work
24:18 okay but start less than 300 million
24:20 let's say started around 100 million
24:22 then goes all the way to couple billion
24:25 it works oh so you're talking about
24:27 let's say the first day of the run where
24:30 the stock already started from yes oh so
24:32 anything about 300 mil that doesn't
24:34 count that still categorize a small cap
24:36 right yes still categorize but you just
24:39 won't trade it I just won't trade it oh
24:41 so how you pick your stocks to trade is
24:44 by volume and the market cap has to be
24:47 below 300 mil yes oh okay and what kind
24:49 of volume are you looking for when you
24:50 are scanning for stocks to trade each
24:54 morning uh really depends I mean volume
24:56 highest the higher the higher the better
25:00 okay uh I mean I do avoid first Green
25:03 Day very crowded volume okay avoid that
25:07 type of tickers uh but once they exhaust
25:10 their volume then uh higher the volume
25:12 the better yeah okay what about
25:15 percentage gapper percentage um is there
25:18 a point of like too high or like too low
25:22 if it gaps above 200 I would say oh well
25:25 it's probably more ridiculous when it's
25:28 gaps above like 500% then it looks a
25:32 little bit fishy to me um but the ideal
25:34 range should be
25:37 between 100 to
25:41 150 100 to 170 yeah percent
25:44 percent oh okay like it has to have
25:45 gapped up that much for you to be
25:47 interested in trading them not
25:50 interested but more comfortable trading
25:52 okay I Gap up 500% I'm still interested
25:55 in trading them I'm just want to be a
25:57 little bit cautious on how to size in
26:01 okay yeah so I I get that you know 100%
26:04 gainers are very normal in 2020 and 21
26:08 but how what about in 2022 and 23 how
26:11 are you selecting stocks then do you
26:12 change your criteria there's still
26:17 gappers that's above um 20 100% okay
26:21 very few yeah very very uh we have let's
26:27 see mmv that's one mhm when kep 200% then
26:28 then
26:33 um yeah not many we had VC IG and all
26:35 those biotechs that only gapped up like
26:40 80% so yeah above 100% is my highest
26:42 winning percentage okay less than
26:45 70% if it doesn't have a resistance and
26:47 on first screen day and it's a biotech
26:49 yeah that's that's a noo for oh so you
26:52 also don't want to trade try to avoid
26:54 biotechs yeah yeah okay is there a
26:56 reason why oh every time when I trade
26:59 biotch I lose I mean it's and ATT track
27:01 statistics on I still lose so I've been
27:04 fighting biotch for many years now and
27:06 uh it's sometimes you win sometimes you
27:08 lose but by the end of the day you lose
27:12 money right and and uh doesn't really
27:14 matter we are going short we going along
27:16 yeah biotches are very hard to predict
27:18 they do not follow small cap stati
27:21 statistics at all oh interesting so not
27:23 only do you track those individual
27:25 stocks or sectors or like the individual
27:27 stock criteria you also track your own
27:30 performance trading these stocks yeah I
27:32 track everything yes okay how much the
27:36 stock will drop to at what percentage to
27:38 what scent I can get to that sometimes
27:40 yeah that's how i' be able to bottom
27:42 tick and top tick a ticket oh so what's
27:45 like the a general formula you use to
27:47 find the the top tick and the bottom
27:49 tick and there's no general formula it's
27:51 based on different patterns okay yeah
27:53 every pattern has its own top tick and
27:56 bottom tick tick uh point oh okay let's
27:58 talk about your f favorite pattern do
28:01 you have one right now uh favorite
28:03 pattern probably this year it's first
28:08 red day okay um highest they can drop
28:10 other than IP other than IPO IPO will be
28:13 a little bit different uh but not IPO
28:16 multi owners the percentage that can
28:19 drop market cap that's initially below
28:22 100 million flow below 5 million under
28:26 10 million that work too uh the ne the
28:30 average fading percentage for first red
28:34 day is negative 26% average okay second day
28:35 day
28:37 15% and the
28:42 time typically drops to is 10:30 so once
28:46 you once reaches okay 10:30 a.m. that's
28:48 typically the lowest point oh after the
28:50 first red day so typically you want to
28:52 hold it overnight with a gap down next
28:54 day hold on until 10:30 then you cover
28:58 it yeah okay so these are ways that's
29:00 like for this particular pattern the
29:02 first red day that's how you find your
29:05 exit yeah how do you find your entry now
29:08 entry is the method that I talked about
29:11 uh maximum volume on retail or maximum
29:14 dollar being traded on the retails oh I
29:16 see do is that your favorite pattern
29:18 this year has that how how is that one
29:20 pattern been performing for you this
29:24 year it's still perform great it just
29:26 the statistics keeps changing there's the
29:27 the
29:29 that's flowing in the retail Market
29:32 keeps changing yeah uh in
29:37 2021 was 1 billion Inay mhm in I think
29:39 like htz was something like that Herz
29:42 yeah yeah I mean not Herz is a billion
29:44 dollar cap so it's doesn't count that
29:47 doesn't count but for lower cap the it's
29:51 1 billion okay and for 2023 it's only
29:53 200 million so we can see that how much
29:55 you dropped w a huge drop so we just
29:57 talk about your favorite pattern what's
30:00 your your biggest win ever on that
30:02 specific pattern and your biggest loss
30:04 we can cover
30:08 that the first red day or I guess what
30:11 the most memorable winner and the most
30:13 memorable loser that You' ever
30:19 had winner it's dwac dwac
30:22 m um everybody know that I made 6
30:24 million on the on the first day I made
30:26 three 3.5 million on the following day
30:28 and that 9 3 million on the following
30:31 day after the 3.5 million so that week
30:34 total I made 17 million I think oh my
30:37 God uh or from shorting that stock right
30:39 or from shorting DW and there's another
30:40 ticket I followed with it I forgot
30:43 what's the name it was a sympathy play
30:45 okay I went from I think went
30:50 from uh 40 no it was around 52 I showed
30:53 it around 48 covered at 28 so it's it
30:58 was a sympathy play of dwac okay uh uh
31:00 the most memorable loss yes I do
31:04 remember one it was a biotech uh oh okay
31:06 1 minut Flo 13 million
31:11 flow uh I think it didm the uh maximum
31:15 retail number okay and uh you squeezed
31:17 above it typically I size in pretty big
31:19 once it once uh it meets the retail
31:21 number I see because that's high winning
31:24 percentage Yeah that's when the com
31:25 losses and the liquidity was not very
31:29 great so so so and it took a long time
31:31 to exit that's why okay I think the
31:33 highest was a million dollar loss yeah 1
31:36 million okay now that's why you kind of
31:38 crossed out biotech from your trading
31:41 list forever Blacklist now yeah yeah
31:43 Black List oh okay I mean up to dat has
31:46 still I don't know because biotechs like
31:49 they have they they do Gap very often
31:53 they Gap 100% 200% sometimes and when
31:56 when there is no play going on like you
31:58 know in the last couple months and
32:00 everybody has attempt to trade that and
32:02 everybody tempting yeah everybody's
32:07 getting squeezed so um um to be a very
32:10 consistent profitable Trader yeah to be
32:13 to stay alive in this industry you have
32:16 to be super disciplined so yeah yeah I
32:18 noticed that you don't trade every day
32:21 like most Traders do how how often do
32:23 you actually Place trades in a given
32:28 month uh 3 to five or 3 to a week oh no
32:31 not three to five in in the recent
32:35 months three three trades to four trades
32:38 a month okay yeah typically one trade a
32:41 week oh wow sometimes not even a trade
32:44 yeah do you believe in well do you
32:47 practice what um is also a term that we
32:50 recently learned from uh lens Bret Brin
32:53 sorry keep on uh mispronouncing his name
32:55 he's mentioned this term called
32:57 exponential bet sizing
33:00 basically do you size the same across
33:02 all your different patterns or do you
33:04 have certain ones like your favorite one
33:06 that you would use more risk on oh yeah
33:11 that's compound compound growth is um so
33:14 uh I have all the patterns winning
33:16 percentage down mhm some patterns has
33:21 70% some some some patterns has 80% 90%
33:22 the higher the winning percentage is
33:25 that means bigger size for me okay and
33:27 how do you allocate that let's say
33:31 the basic average is that's just use for
33:33 a simple simple number a thousand so
33:35 then that's say that's the average right
33:38 let's say anything with 60% win rate you
33:41 use an average of $1,000 risk and how
33:44 would you use that for your um 90% win
33:48 rate or your 80% win rate um patterns
33:50 like what what number would it be 10x
33:54 10x oh okay yeah so if so average I'm
33:57 using 100K 200k positions then and yeah
34:01 the best it would be 2 million highest
34:03 that size was 17 million was crazy 17
34:07 million shares traded not a$ 17 million
34:09 position oh okay and how do you scale in
34:11 because I understand once you're
34:13 starting take taking these like massive
34:17 sizes how do you scale into your
34:20 position uh how do you scale in Parts by
34:23 parts and has to be under 1% of the
34:26 volume yeah yeah okay so let's say for
34:28 example for a stock your max size will
34:32 be let's say in this example 100,000
34:34 shares and you just divide it up into
34:36 10,000 share Lots or maybe 20,000 share
34:40 Lots 50 50 yeah the bigger the positions
34:42 maybe you have to break down a little
34:45 bit more but yeah under $1 million it
34:48 should be two okay two entries oh okay
34:51 maybe three yeah do you think new
34:53 Traders should learn about scaling as
34:55 well or they should do one entry one
34:58 exit one entry one exit oh it's the most
35:01 efficient is one one enter and one exit
35:04 one go oh okay so you never started with
35:07 like you know let's say divide it into
35:09 two halves and then just add and add and
35:10 then two
35:14 exits uh sometimes you will turn into
35:17 add and add and add and blow
35:21 up oh okay yeah but it happens a lot to
35:24 a lot to Traders oh yeah well basically
35:25 in that case they're not adding to
35:27 Winners they're adding aaging down to a
35:29 loser yeah a lot of people think
35:32 that uh add into
35:36 winners carut losses into
35:40 losers I disagree with that you have to
35:43 know exactly where you enter exactly
35:46 where you want to exit and before you
35:49 enter the trade you should know that how
35:53 much you will will lose if you fail so
35:55 we mentioned that about your most
35:57 memorable loss so when you take these
36:01 big losses is it usually from slippage
36:04 or or was everything calculated
36:06 beforehand everything calculated really
36:08 okay I already know that million loss
36:11 was coming oh okay because it's a
36:13 biotech and you were sizing in that is
36:16 your A+ setup yeah so you willing to
36:19 risk a bit more yeah okay I see you just
36:21 shared some really good tips for a lot
36:24 of the new be Traders basically you
36:27 recommend one entry in one exit out yeah
36:31 yeah don't over complicate this uh maybe
36:34 two maximum two but I recommend one in
36:38 and one exit oh okay and we also talked
36:40 about statistics and tracking do you
36:42 think beginners should be tracking like
36:45 you are or they should simplify things
36:46 or how how would you recommend them to
36:48 approach tracking well first of all for
36:50 people that come to trading you love
36:53 trading I love trading I love to win
36:56 yeah people some people come in for
36:58 trading that they want to make money so
37:01 either way you want uh you want to win
37:05 so you whatever do whatever that makes
37:07 you want to win I can guarantee you that
37:09 tracking statistics will make you win
37:14 more so okay uh I recommend track as
37:17 much as you can uh do the method that I
37:20 recommend the first method which finding
37:24 out the outliers okay um and to see
37:27 what's the uh Factor that actually
37:29 affect the stock push uh fading
37:31 percentages or pushing
37:34 percentages um then you will start
37:37 finding your entry from there so I think
37:39 a lot of beginners also suffer from
37:42 struggle with overtrading
37:44 and how do you think they should is
37:46 there any way in which they can utilize
37:49 tracking statistics and help them avoid
37:51 you know overtrading these like random
37:54 setups yes there there's one way I found
37:56 out I was very helpful and they should
38:00 be the golden tips uh for
38:02 not making stupid mistakes on over
38:05 trading okay well I to be honest I over
38:09 trade uh I see I even over trade I
38:11 sometimes you know hate myself over
38:13 trades because you know nobody wants to
38:15 make stupid mistakes and wasting money
38:18 on on you know something that you
38:20 shouldn't do everybody does I don't
38:24 think there's as long as you're not an
38:27 algo everybody make overtrading mistakes
38:31 so uh first method which will be the
38:34 most important one is you want to track
38:37 well first of all find your pattern find
38:39 out the statistics find out the average
38:44 winning percentage act find out
38:49 uh the average um profitable percentages
38:51 so let's say this pattern average profit
38:55 you can profit around 15% 20% okay find
38:57 out the frequency how many times happens
39:00 a year generate a sheet that using a
39:03 fixed size so let's say every time when
39:05 this pattern appears I'm going to size in
39:05 in
39:08 $5,000 I'm going to make $1,000 on the
39:12 trade uh this pattern happens 50 50
39:15 times a year 60 times a year you can
39:19 generate a number MH uh how much you can
39:21 make a year that's your expected return
39:23 that's true expected return okay so
39:24 every time when you sit in front of the
39:26 computer in the morning every day look
39:28 at that number first okay look at it
39:30 first right this is how much I'm gonna
39:32 make a year so I'm not gonna make a
39:34 stupid mistakes here today I see and it
39:38 works very well oh okay okay let me
39:40 repeat that one more time so you
39:42 basically find out for each individuals
39:45 they should find their own strategy and
39:47 find the average winning percentage and
39:50 their average return like you know 20%
39:52 return whatever and they put in the
39:55 account size and use that the account
39:57 exposure and you have to calculate how
40:00 much potentially they can make in a year
40:02 after learning about how frequent that
40:05 pattern happens yes and use that number
40:07 be it 100,000 or 50,000 use that number
40:10 as an inspiration to stay disciplined
40:12 and stick with that strategy
40:15 yeah that's amazing I never heard of
40:17 this this method I mean I came up with
40:19 myself because I was over trading yeah
40:21 oh and that did help you focus on like
40:23 your A+ strategy yeah always focus on
40:25 long-term once you look at a number it
40:26 make automatically trans transition your
40:28 mind from shortterm to longterm I think
40:29 what a lot of people do is like they
40:32 scalp around when there's no like
40:33 perfect strategy they scalp around to
40:35 make a $50 here and there and they
40:38 forget about the big picture here I I'll
40:41 share a story um so overtrading
40:44 uh in the first two years I was making
40:46 900,000 a year and I think the second
40:48 year was 2.7
40:51 million and every time every year I'll
40:54 go into my uh account statement and look
40:57 at what I traded what what I'm supposed
41:00 to trade what I'm not supposed to trade
41:02 okay now there's some losses that I'm
41:04 supposed to lose that's okay yeah but
41:06 you you have to recognize what you are
41:08 supposed to lose what you are not
41:12 supposed to lose so once I filtered what
41:14 I'm not supposed to do is I can make 4X
41:16 of the money that I made oh wow that year
41:18 year
41:22 so basically that's where I started to
41:25 do the method that I yeah wow and like
41:28 especially and it's 4X it's not even
41:29 something equivalent like one to one
41:33 it's one to four yeah and also I see it
41:36 as a challenge because um so basically I
41:38 the method I use for all the patterns
41:39 they will generate a number let's say
41:42 are you supposed to make 20 million this
41:45 year yeah every time I can only hit
41:49 30% High highest I hit was 37 okay not
41:53 even close to 80% to 90% to the
41:56 full maximum performance that supposed
42:00 to do as the perfect robot so yeah so is
42:01 that what you're trying to aim for
42:05 you're trying to reach a closer to
42:08 closer to that 100% potential yes and
42:12 every time I see 30% 30 37% I I keep I
42:14 have a really close friend I talk about
42:15 trading but I keep calling myself
42:18 garbage Trader because I can only hit 30
42:21 30 37% yeah in a way you kind of treat
42:23 trading as a game as well oh yeah yeah
42:24 yeah it's a game now that you made so
42:27 much money does the meaning of do you
42:30 think money loses its
42:33 meaning doesn't lose lose its
42:37 meaning it uh I don't ever focus on how
42:41 much money that was generated by trading
42:45 okay now it is I'll say not the priority
42:48 it is the first first will be the the
42:49 thing that I told you is I want
42:54 to perfect the system yeah um I want to
42:57 be able to ttic bot and tick okay make
43:00 sure it hits the maximum performance of
43:03 all the patterns that I track and if I
43:06 reach that goal I had I had myself a
43:09 goal for for myself once I reach 85% I'm
43:13 quitting trading really yeah so so so
43:15 but it was never
43:17 85% but I think you might eventually get
43:19 there I don't think so really I don't
43:21 think so last year you did 30% this year
43:23 you say you're doing 37 no the highest
43:26 highest was 37 in 2021
43:29 oh okay so in a way if if you never get
43:33 to 80% you never quit trading as well no
43:36 no okay I don't think I'll ever ever get
43:39 there I mean last year was
43:42 uh that this year was only 20% even
43:45 worse last year was last year was sick
43:49 it doesn't count yeah 2022 was like 29
43:52 so it's is that kind of what keeps you
43:54 going as well waking up in the morning
43:55 each day cuz you're you're here on the
43:56 West Coast
43:59 right what time do you wake up 5:30 okay
44:02 5 to 5:30 uhhuh and then you like scam
44:05 for stocks and what what's your routine
44:07 like after you wake up 5:30 what's your
44:09 routine uh look at that stocks if
44:12 there's nothing play some video games
44:14 okay it's I don't want to look stay
44:16 there and stare at the stocks and you
44:17 know thinking about some overtrading
44:20 strategy so yeah um yeah if it fits the
44:21 criteria fits the criteria if it doesn't
44:24 you know have some fun play some video
44:26 games do you ever revisit and look at
44:28 the scanner midday and see if there's
44:30 opportunities or like if you don't see
44:32 anything by 6:30 that's it for the day
44:34 uh no trade after 1200 that's okay no
44:38 trade after 11: suppose and that's 11:00
44:42 a.m. uh West Coast time or 11:00 a.m.
44:45 Market time Market time Market time okay
44:49 1130 a.m. oh okay what do you do for fun
44:52 Sten do you look at spreadsheets and
44:54 math and numbers for fun on your
44:56 downtime oh I play a lot of video games
45:00 oh okay yeah um I played Starcraft 2 uh
45:05 for many years okay and before I I was
45:09 mainly focused in trading I got into a
45:11 uh World Series
45:13 Championship oh you tra trading uh not
45:16 trading Pro playing pro not playing pro
45:19 but but uh my skill is approaching to
45:22 Pro oh okay yeah I got to highest I got
45:24 to was round of 64 World Series
45:26 Championship yeah but how come you
45:28 didn't pursue it I didn't cuz trading
45:31 makes more money that that's true well a
45:34 lot of pro players they G Pro Gamers
45:36 they make a lot of money too but you
45:38 know like they get paid at like 50 mil
45:41 like the ones who win yes well I mean
45:45 most of it U it's not the price they uh
45:47 they promote either they they Market
45:50 they're the marketer of their game so oh
45:53 they get paid that way oh okay I mean
45:54 that that game gives me a lot of
45:57 benefits uh first of all is psychology
46:00 second is hand speed oh clicking buttons
46:01 clicking buttons I will be able to
46:05 borrow like shares within point for 30
46:07 seconds you can have hot Keys set for
46:09 that too I know but like you back in the
46:12 days manually yes I can do very quickly
46:15 okay yeah so Starcraft got you to think
46:18 about to to train I guess your mouse
46:21 click speed yeah and and you mentioned
46:23 something about trader psychology with
46:25 is buyers or seller how how does that
46:28 game help you start thinking about it
46:31 that way the game itself is very
46:33 competitive it's one one versus one so I
46:36 have an opponent that's on the opposite
46:39 on the opposite of my side yeah and
46:41 first of all you have to scout have to
46:44 guess his strategy and according to his
46:46 plan you have to make defense defense
46:49 plan if his plan changes and you got it
46:53 around then you lose so it's basically a
46:55 counter psychology game back and forth
47:00 back and forth until you win yeah so and
47:04 and also uh it cor it what you are
47:06 thinking with your hand you don't
47:08 misclick you don't do anything uh you
47:10 know if you make a mistake mistake on
47:12 misclicking you lose the game too yeah
47:18 so um and it's always high focus during
47:20 the high focus moment you have you have
47:22 to also think about the counter strategy
47:25 for from for other people and um I think
47:27 it's very simil to trading very intense
47:29 moments and also be able to think
47:33 clearly be calm figure out you know you
47:34 don't first of all you don't misclick so
47:36 can figure out what they're thinking to
47:37 to be able to build a counter strategy
47:40 against them so so you kind of have to
47:42 think about their potential couple steps
47:44 after and think about if he does that
47:46 then what are you going to do yes the
47:49 the I forgot who told me this but
47:51 trading is basically a bunch of if and
47:54 then statements like if stock ABC does
47:57 this then this should happen yeah is
47:59 that kind of how you kind of start
48:02 thinking about trading uh yes yeah I
48:04 know you used to live in Ohio is there a
48:06 reason you decide to move to California
48:09 to pay more taxes not pay more taxes but
48:12 uh there's better food here that's for
48:16 sure yeah um a love food uh I don't like
48:20 waking up earlier but um better weather
48:21 I I don't like cold weather I think I
48:26 told you I hate cold weathers um and uh
48:27 yeah that's pretty much it that's pretty
48:30 much it and we have a different life
48:32 experience I don't I'm not planning to
48:36 live in California forever okay so oh
48:38 were were some of your family out here
48:41 as well no no just you I have a brother
48:44 uh when when it's currently going to
48:46 school in uh used to go to school in
48:49 Florida now in Connecticut oh okay older
48:51 or younger brother younger 10 years
48:54 younger oh okay yeah so you're the
48:56 eldest of the family do do you think he
48:58 look up to you as an example oh yes he
49:01 does yeah yeah would you want him to get
49:04 into trading no I asked people that a
49:07 lot a lot of people uh I
49:10 mean I believe I to I taught a lot of
49:12 students I believe you also taught a lot
49:16 of students trading is not for any
49:19 everyone I believe that too yeah you
49:23 have to have that very very good
49:26 personalities that's number one number
49:29 two be able
49:33 to uh handle trading in a different
49:35 perspective a lot of people go into
49:39 trading with the gambling mindset yeah
49:41 yeah I mean every time you gamble every
49:45 time you lose it's that's the rule yeah
49:46 speaking of
49:50 gambling you're Chinese were both
49:53 Asian stocks like trading stocks or
49:55 investing in stocks or even research
49:58 searching stocks in Asia there's like a negative
49:59 negative
50:01 stigma was was your family ever
50:03 concerned about what you're doing back
50:06 then and you my dad was my mom wasn't
50:10 okay um because whatever they
50:12 experienced early in their age they
50:13 don't want their child to go through the
50:17 same thing they also suine stocks uh do
50:20 they yeah stocks is something that they
50:21 don't want their child to go through
50:24 because they took a lot massive loss in
50:26 their earlier age
50:30 so um that's how parents teach their
50:34 student oh teach their child to you know
50:36 go through their life I mean not just
50:39 stocks if they uh you know made some
50:41 mistakes in any other industry they
50:42 wouldn't want their child to go through
50:44 that yeah same again do you think
50:51 accomplished uh
50:56 yes yes and no no it's
50:58 I did not beat my own
51:06 game yes is uh um of uh I mean have made
51:08 some histories trading as a retail
51:12 Traders MH uh highest profitable oh
51:17 highest p in one day I guess yeah uh
51:20 probably throughout the year too uh but
51:22 uh yeah do you think
51:25 if I know you're doing this for the game
51:28 now if if I say I I tell you today or
51:30 starting tomorrow you trade you can
51:31 trade you see all those number but those
51:34 numbers are not real money meaning you
51:36 will make zero dollars whether you're up
51:39 a million or down a million from Trading
51:41 would you still be trading I I wouldn't
51:44 payer trade okay to be honest because
51:44 first of
51:48 all uh I hate people calling me paper
51:50 Traders at the very begin beginning of
51:53 my trading career I was posting pinl on
51:54 on twitters and everybody calling oh
51:57 paper trading paper trading oh I hated
52:00 that and uh then I started posting my
52:01 account statement here's my account
52:03 statement you can go ask D or you can
52:06 ask the owner of The Brokerage and uh
52:08 and I mean they can verify if it's real
52:11 or not so then that's I mean I I I don't
52:13 like people calling me like oh you're
52:15 trading fake money so it's yeah but I I
52:18 was asking cuz you treat trading as a
52:19 game and you're just trying to get
52:21 become a better Trader if you cannot
52:24 make actual money from Trading would you
52:26 still wake up every day at 5:30 to scam
52:28 for stocks to go through that routine of
52:31 tracking executing your A+ strategies
52:33 would you still be doing this game I
52:35 mean I will probably do a very similar
52:36 game that makes
52:39 money okay so making money is still
52:40 important I mean it's important double
52:43 win yeah um where do you what do you buy
52:45 with your money what do you place your
52:48 all the profits what do you do to
52:52 diversify diversify uh most recently uh
52:55 you can buy t- bills I mean very very
53:02 save 5% yeah um and I trade stocks and I
53:05 don't I don't I mean I don't like
53:07 long-term stocks I don't know why you
53:12 don't oh because um I mean the most
53:15 recent statistics on overall economy
53:18 doesn't seem very good okay looks like
53:20 there's a massive recession coming yeah
53:24 and uh we have all kinds of bubbles um
53:28 so everything's a bubble now yep and
53:30 there's going to be a large pullback so
53:33 cash is Keen right now and okay wait
53:35 until the market drops and potentially
53:37 buy some diff okay you so you don't
53:41 believe in real estate like watches like
53:44 any alternative
53:49 Investments uh real estate goes as same
53:52 as stocks long term oh okay I'm
53:54 surprised cuz Chinese people usually
53:56 like to buy real I mean yes yes I do
53:59 like real estate but they don't perform
54:02 as aggressive as okay as uh
54:05 trading so whatever you have available
54:08 typically for for a method of trading is
54:10 when I see a good play I wire money in
54:13 and I trade and wire it out okay so this
54:15 way you make sure that if you make a
54:16 stupid mistake you don't blow up your
54:20 account that's very smart actually and
54:21 uh as long as you trust your trading
54:25 skills I would prefer cash oh okay yeah
54:27 your approach is very similar we we just
54:29 talked to Tim Sykes the other day he has
54:32 all his cash according to him in like a
54:34 money market he doesn't do any
54:38 Investments no cars no nothing yeah do
54:41 you invest in cars H yeah I have a few
54:43 cars but okay they're not investing
54:46 thing oh okay they literally just buy
54:48 them because for fun what are your
54:51 current life goals cuz you're so young
54:54 you're like 28 27 28 and you achieve so
54:56 much what's next for you for Steven
54:58 Ducks next
55:04 is probably hedge fund yeah okay um and
55:07 I saw a number that I could potentially
55:09 make and in
55:12 2021 and I think I can get there once
55:15 the market is back of course um it's 200
55:17 million so my goal is 200 million a year
55:20 as a retail Trader or as a hedge fund
55:22 Trader retail okay hedge fund maybe a
55:24 little bit different yeah I think hedge
55:25 fund or the depends on how much money
55:29 you have under assets under management
55:32 but uh yes okay yeah but do you think
55:35 once you start a hedge fund or if you do
55:37 do you have to trade
55:40 differently maybe I don't know never
55:42 never start the hedge funds so we'll see
55:45 okay that'll be very interesting yeah
55:48 yeah uh probably start small I don't
55:50 know hedge fund is a little bit
55:53 different because you don't take you
55:55 don't take away all all the money that
55:57 you make mhm it's Investor's money it's
56:00 Investor's money so you are charging
56:03 little bit of commissions and very small
56:05 percentage of how much money that was
56:08 made maybe it was not very maybe it's
56:10 not worth it but it could be a good life
56:13 experience so you try that out you're
56:15 doing the this just for the game now by
56:17 by by when you do that I can I can tell
56:19 other people I was a hedge fund manager
56:22 you can say that yeah but yeah good life
56:24 experience could try it out thank you so
56:26 much sharing with us all your tips and
56:29 strategies where can people find you uh
56:32 they can find me at Steven duxi du.com
56:35 okay so where does ducks come from
56:37 that's not your real last name right it
56:40 was my first three letters of my name du D
56:43 D
56:45 do do she
56:49 show x i u x oh oh they're missing the
56:52 you yeah oh show
56:55 do show do she do
56:59 x i a n do X yeah it's the first three
57:03 letter of my name oh okay do you like
57:06 ducks interesting name I mean I think it
57:09 kind of stuck I mean it doesn't doesn't
57:12 bother me yeah yeah did somebody
57:14 mispronounce and got stuck is what I
57:17 mean oh no no no oh okay okay yeah and
57:19 then ever since everybody called me dgs
57:22 yeah yeah well thank you Dougs for being
57:23 here today and sharing so much with our
57:25 audience I no problem
57:27 if you enjoyed our conversation today
57:29 and learned a lot from Steven Ducks make
57:32 sure to hit the like button down below
57:33 and you can check out even more
57:45 [Music] here
