Full Transcript

·YouTLDR

This 8-Leg Options Trade Targets Big Returns in Days

52:411,164 summary words · ~6 min readEnglishBy Theta ProfitsTranscribed Jul 13, 2026
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Summary

The 8-leg 'Fly Diagonal' (Fly D) strategy combines an at-the-money Iron Butterfly with double out-of-the-money diagonals to create a concentrated 'theta bomb' designed to capture 5% to 15% gains in under five days.

By overlapping multiple options structures, traders can generate near-triple the theta decay of a standard butterfly while structurally neutralizing volatility exposure, eliminating the need to accurately predict market direction or implied volatility swings.

Section summaries

0:00-5:20

Introduction to the 8-Leg Fly Diagonal

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Host John introduces options veteran Steve Gans to outline the mechanics of his newly developed eight-legged options structure. Gans sharing his 30-year background in options education, having instructed at Online Trading Academy and helped launch the Options Alpha bot platform. He reveals that his quest to find a way to accelerate theta decay led him to use AI to find optimal structural overlaps. This research resulted in a series of 'Flyagonal' trades designed to overlay distinct options setups for maximum decay efficiency.

  • The Fly Diagonal trade is an eight-legged derivative structure that acts like an ultra-wide profit tent.
  • Overlapping distinct options strategies creates a double or triple theta decay effect without proportional risk scaling.
  • The strategy boasts an exceptional win rate and an average trade holding period of just four days.

Provides the essential conceptual origin of the strategy and the math behind overlapping option structures.

5:20-9:20

Performance Metrics & Profit-Taking Targets

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Gans shares verified trade data illustrating a 120% total return over five months, which translates to a 300% annualized rate. He outlines his highly disciplined profit targets: 5% to 7% on day zero or day one, shifting to a 10% to 15% target if the trade stays open longer. By selecting front strikes with 7 to 14 days to expiration, the compounding decay allows him to exit positions quickly. He notes that the fast exit timeframe minimizes exposure to sudden, volatile market shifts.

  • Take immediate profits at 5% to 7% within the first 24 to 48 hours of trade entry.
  • Target 10% to 15% returns if the trade extends past the initial 48-hour window.
  • Shorter durations (7-14 DTE) maximize the localized theta acceleration of the short strikes.

Establishes the exact entry/exit guidelines and empirical performance of the strategy.

9:20-16:00

Analyzing the Fly D's Structural Anatomy

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Gans shares his screen to dissect the individual components of the 8-leg Fly D variant. At its core, the trade features an at-the-money Iron Butterfly with 50-point wings, paired with double diagonals placed 50 points higher and lower. He demonstrates how the positive-Vega diagonals balance the negative-Vega butterfly, rendering the trade highly resilient against volatility shifts. This unique offset allows the trader to enter the position consistently without worrying about timing volatility expansions.

  • The Fly D structure overlays an at-the-money Iron Butterfly with double out-of-the-money diagonals.
  • The counterbalanced Vega profiles remove the necessity of timing implied volatility cycles.
  • The wide structural wings provide a massive profit zone that absorbs substantial index moves on entry.

This is the most critical technical blueprint section, showing the precise strike selection and Greek neutralization.

16:00-24:00

Entry Rules, Weekend Premium, and Stop-Loss Philosophy

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Gans explains how he schedules entries to exploit weekly option cycles, specifically utilizing front-leg Friday expirations and back-leg Monday expirations. This configuration captures the inflated premiums market makers charge to hedge weekend gap risk. When addressing risk, Gans strongly advises against using mechanical stop-losses. He argues that fast-moving markets blow out bid-ask spreads, meaning stop-losses often execute at terrible fills. Instead, he defines his risk on entry by structuring the trade as a cash-secured, defined-risk vehicle.

  • Pair Friday front-leg shorts with Monday back-leg longs to harvest the weekend volatility premium.
  • Ditch mechanical stop-losses to avoid catastrophic slippage when bid-ask spreads widen during panics.
  • Manage risk purely through conservative, pre-defined contract sizing based on initial buying power requirements.

Explains how to structure expirations to exploit weekend decay and why typical stop-losses destroy alpha.

24:00-38:40

Defense Mechanisms: Adjusting Downside and Upside Moves

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Gans dives into specific tactical adjustments to defend the Fly D when the market moves. For downside moves, he details how rolling short calls down collects defensive premium, or how adding a lower put diagonal exploits high volatility and backwardation. Upside moves are more difficult to adjust because low volatility suppresses call premiums, making rolls more capital-intensive. Gans also defines the worst-case scenario: a whipsaw market that drops violently, triggers defensive adjustments, and then gaps upward through the newly established zones.

  • Downside defense is highly efficient; roll short calls down or add lower put diagonals to exploit rising volatility.
  • Upside adjustments are more expensive and yield less premium due to declining implied volatility during market rallies.
  • The ultimate strategy failure is a whipsaw, which forces expensive double adjustments in opposite directions.

Crucial risk management section detailing how to systematically adjust the 8-leg structure during market threats.

38:40-52:00

AI Strategy Validation and Performance Summary

optional

Gans reveals how he fed the risk profiles of his three Flyagonal variants into ChatGPT, Claude, and Gemini. All three AI models identified the Fly D variant as the most robust due to its ultra-wide profit tent and superior theta decay, recommending the retirement of the original 4-leg version. He presents a live screenshot of his personal account, demonstrating a 106% gain over nine months. He closes by summarizing the strategy's 'rinse, wash, repeat' approach and provides his email address for further inquiries.

  • AI risk analysis favors the 8-leg Fly D over previous iterations due to its wider coverage and higher decay rates.
  • A dedicated small-account test yielded a 106% gain over nine months, proving the strategy's consistency.
  • The strategy succeeds by executing short-duration trades repeatedly and taking quick profits without greed.

Contains interesting background on AI modeling and performance verification, but fewer direct trading mechanics.

Key points

  • The Theta Bomb Phenomenon — Overlapping an at-the-money Iron Butterfly with out-of-the-money diagonal spreads concentrates short strikes at the same central market pivot, generating a compounding decay rate near the market center.
  • Structural Volatility Neutralization — The negative-Vega profile of the central butterfly is paired with positive-Vega double diagonals, resulting in a balanced trade structure that remains relatively insensitive to overall changes in implied volatility.
  • Weekend Premium and Backwardation Capture — Structuring the trade with short front-month legs expiring on Friday and long back-month legs expiring on Monday exploits the inflated premiums market makers charge to hold positions over the weekend.
  • The Whipsaw Defense Breakdown — The ultimate failure point for this delta-neutral strategy is a rapid down-gap that forces the trader to adjust the structure lower, followed immediately by an aggressive, high-velocity rally back through the adjusted zone.
Because I've taken the time to learn how to properly and effectively adjust positions, more often than not, I can uh if a trade gets into trouble, if a trade gets into negative territory, particularly to the downside, I can usually heal that wound. Steve Gans
All three AI's agreed fly D was the best as far as the it is the more expensive one to enter as far as buying power, but it's the best because it has the widest tent fastest Theta decay, etc. Steve Gans

AI-generated from the transcript. May contain errors.

0:00

The total return since I started doing

0:02

these about 5 months ago, 120%

0:06

about 300% annualized. My average days

0:09

in a trade is about 4 days.

0:11

>> Today's option strategy has eight legs.

0:16

Eight legs. My guest says he has done 50

0:20

of these trades and all have been

0:22

winners.

0:24

Welcome Steve Gans.

0:26

>> Thank you, John. Greatly appreciate

0:28

being back again sharing a little more

0:30

of the whole fly agonal trade series

0:33

with you. And yes, this is like a big

0:35

old spider, eight legs.

0:36

>> [laughter]

0:37

>> Yes, because we have before presented

0:39

your fly agonal strategy and today we

0:42

are going to present your flight

0:44

diagonal strategies. You know, I get a

0:46

bit messed up with these names, but you

0:48

have 40 seconds to tell us what is this

0:51

trade and how has it worked for you?

0:53

>> Sure. So basically I started with the

0:55

fly agonal which is a combination of a

0:59

call broken wing butterfly and a put

1:02

diagonal. And from that we went to a

1:06

slightly different variant, but then we

1:08

evolved to this new what we call the fly

1:11

diagonal and I think it'll become

1:13

somewhat clear when we look at the P&L

1:15

diagram of it why it's called the fly

1:17

diagonal. It's got kind of a dagger

1:19

shape to it. And and yeah, that's been

1:21

the newest variant and I've done 50 of

1:24

those and right now up until up until

1:28

today

1:29

100% win rate. So I I did close out a

1:33

small loser here today. But the stats

1:35

I'm going to show you that happened just

1:37

at the close of market which just

1:39

happened. So the stats I'm going to show

1:40

do not have that one included in it, but

1:43

in total transparency there was a loser

1:46

that finally came in.

1:48

>> All right, and we will get into the

1:50

details of this eight-legged trade, of

1:53

course.

1:54

You are back for the third time, I

1:56

believe, as an interview guest on on

1:59

this show, but, you know, still, tell us

2:01

just a little bit about yourself.

2:03

>> Certainly, John. So, I've traded stock

2:05

and options for over 30 years. I have

2:08

taught for a number of different

2:10

companies, including uh Online Trading

2:13

Academy, which has a global set of

2:15

campuses around the world, Aeromir. I

2:18

worked for Kirk at Options Alpha, the

2:21

bot trading platform, helping him launch

2:23

his new platform. I also I'm assisting

2:26

uh Charles at Option Traders Assistant,

2:29

which is the main software I use with

2:31

some UI interfaces, things like that.

2:34

And I've had hundreds of students that I

2:37

have taught directly about options

2:39

trading, as well. So, I'm just I'm just

2:41

a passionate person that loves to share

2:44

ideas and concepts uh when it comes to

2:47

options trading. It's just really

2:48

exciting to me.

2:49

>> So, let's get to your latest strategy

2:51

first. I wonder, what are you trying to

2:54

achieve with this variation?

2:57

>> Well, with all variations of the fly

3:00

agonal, the the way that it came about

3:02

to begin with was my main teachings up

3:05

until late 2024 were all about broken

3:09

wing butterflies and trading them for

3:12

income purposes and uh in faster

3:15

methods, not necessarily zero DTE, but

3:18

in shorter time frames. I I I day traded

3:21

years ago and I'm not a fan of uh

3:23

sitting at my screen all day anymore.

3:25

So, I don't do zero DTE, but I was

3:26

looking at uh trading broken wing

3:29

butterflies for income purposes and then

3:32

also calendars and diagonals. And I have

3:34

detailed classes on both of those, but

3:36

as I'm teaching those, you know, most

3:38

people know that, hey, when volatility

3:40

gets higher, you it's better to put on a

3:42

butterfly trade. When volatility is

3:44

lower, people lean toward calendars and

3:46

diagonals. And in my mind, I keep

3:49

thinking, these two need to be married.

3:51

We need to somehow find a way of putting

3:52

these together. So, in late 2024, I

3:55

started playing a lot with AI, asking

3:58

key questions of uh the the main

4:01

question basically being how can I get

4:04

faster theta decay out of an existing

4:08

options trade? And one of the key things

4:11

that kept coming back was you need to

4:13

overlap them. They they need to somehow

4:16

lay over the top of each other because

4:18

then you're getting double the theta

4:20

decay, but you're not really adding much

4:22

addi- additional risk into the trade.

4:25

So, that's what this is designed to do.

4:27

The flyagonal series of trades, there's

4:30

there's three separate trades there,

4:32

do that. Each one of them does it in a

4:34

slightly different way. The latest

4:36

version, the eight-leg version being the

4:38

fly diagonal, has a iron butterfly at

4:42

the market, and then it's got calendars

4:45

and diagonals on either side. So, that's

4:47

the latest version. And if you want to

4:49

know more about the prior version, go

4:51

check out some prior videos here on

4:52

Shawn's channel.

4:54

>> Yes, we do have a a lengthy interview

4:57

about your flyagonal, and which which is

5:00

uh essentially a put diagonal below, and

5:03

it's a call broken wing butterfly above,

5:06

and this is um 8 to 10 days to

5:09

expiration type of strategy. And I do

5:12

recommend people to just check out that

5:14

interview. It will be linked in the

5:16

description, so you can have that as as

5:18

the background. But, let's get a bit

5:20

more into the details of your fly

5:24

diagonal. I need to keep my tongue the

5:26

right way here to say all these uh all

5:28

these names. So, give us a bit more

5:31

details about the fly diagonal trade.

5:35

>> Yeah, so this is where if you look at my

5:38

screen right now, I can share my screen,

5:40

and you will see the

5:42

uh the general concept behind it. So, it

5:45

plays through this this little uh

5:47

GIF file. So, we start off with the

5:49

butterfly in the center and then a put

5:52

diagonal and a call diagonal spaced out

5:55

and it gives us a massive wide tent. So,

5:59

and those three structures all have an

6:02

overlaying center where there's theta

6:04

decay happening at essentially a wide

6:09

range in the center of that structure.

6:12

So, again, the key here is ideally the

6:15

market's going to stay in somewhat of a

6:18

general range and if it stays between

6:20

these two outer peaks and or right under

6:24

that center peak, that's kind of an

6:26

ideal situation for us. In that

6:28

scenario, this thing decays really fast.

6:31

Now, the reason we want that thing to

6:33

decay so fast is because then we have to

6:36

or we can be in that trade a lot less.

6:39

We don't have to be in it nearly as long

6:41

when it's decaying at three times the

6:45

rate of a normal butterfly, for example.

6:48

So, that's why I think this whole series

6:50

of trades is so effective is because

6:52

we're getting that theta bomb that

6:55

occurs right at the center of that.

6:57

We're getting three times the decay in

7:00

or somewhere close to that. Depends on

7:02

volatility conditions.

7:04

And if the market does wander up or

7:07

down, we've got these really wide tents

7:10

out there to kind of catch down moves

7:12

and up moves. So, this particular trade

7:15

at this point has not needed to be

7:18

adjusted very much at all.

7:20

In fact, I have a

7:23

a stats page which I just put up there

7:25

right now. This is the stats on the

7:28

flight diagonal trade itself. Again,

7:31

I've done 50 of these personally.

7:33

Up until today, it was at a 100% win

7:37

rate, 50 out of 50. The total return

7:41

since I started doing these about 5

7:43

months ago, 120%

7:45

about 300% annualized. My average days

7:49

in a trade is about 4 days. Now, I'm

7:51

putting these on out in a

7:55

anywhere from a 7 to maybe a 14-day

7:57

window, meaning the front strikes that

8:00

are used in this structure, which you're

8:02

going to see shortly, are going to be in

8:04

around that 7 to 10-day window of time.

8:07

But, even at that, it's decaying fast

8:10

enough with that triple decay, that

8:12

theta bomb in the middle, that I'm

8:14

hitting profit targets fairly quickly.

8:17

So, the next question is, well, what's a

8:19

profit target? So, for me, the profit

8:22

target on the first day, if I'm in the

8:25

trade

8:27

if I put the trade on last Friday, for

8:29

example, today is Monday,

8:31

I'm looking for 5 6 7% today, my first

8:35

day in the trade.

8:37

In the on occasions, I've hit that 5 6%

8:42

on day zero. Like I opened the trade in

8:44

the morning, by the time I get to the

8:46

afternoon, it's hitting those numbers. I

8:48

go ahead and pull it off. But, within

8:50

that 24-to-48-hour

8:53

window,

8:54

I'm shooting for 5 to 6 7%. Once we get

8:57

outside that window, I'm shooting for a

8:59

10 to 15%. So, when it hits those

9:02

targets, I pull it off.

9:04

>> So, let's I think it would be very

9:06

useful now if I look at the specific

9:08

example of a trade where you show

9:10

exactly what strikes you do and etc.

9:14

>> Okay, so this is basically what the fly

9:16

diagonal trade looks like. And it is

9:20

an eight-legged monster. Um, but let me

9:23

break it down for you. Let me try to

9:25

make it a little bit simpler. So, what I

9:27

want to do These are, of course, the um

9:30

upper uh the calls, and down below here

9:34

is the puts. So, let me first show you

9:37

just the structure here. Let me turn my

9:39

my drawing tools back on so we can see

9:42

here that our center strikes 6890

9:45

6890. So what is that? Well, we all know

9:49

that that is a butterfly. Okay, we're

9:51

selling the center strikes here. We're

9:54

selling them in this case at the market

9:57

and then it's got 50 point wings either

9:59

side. So I can turn the two sides of

10:02

this off and on over here in this

10:04

software Option Traders Assistant. And

10:06

this software, while it's not my

10:09

company, not my software, the developer

10:11

of the software has been very very good

10:14

about modifying the software for our

10:16

particular uses in trading this

10:18

particular type of trade. The first

10:20

thing we can see is that this portion of

10:22

the trade, like I said, this is the

10:24

butterfly. Pretty standard butterfly.

10:27

>> An iron butterfly where you sold both

10:29

the call and the put

10:30

>> this is an iron butterfly. Correct. Good

10:32

point because the prior fly diagonals

10:35

are using call butterflies. So the

10:37

reason for the iron butterfly here is

10:39

generally speaking,

10:41

uh well, I should say the prior ones,

10:43

the call butterfly also isn't centered

10:46

at the current market. So this one is

10:48

centered at the current market and it

10:51

the reason for that is that's where you

10:54

get your absolute most premium out of a

10:59

trade is you're going to sell those

11:01

center short strikes. So

11:04

that's the butterfly portion of it.

11:06

Separate from that is the diagonal

11:09

portion. So it's essentially a double

11:12

diagonal. And I've traded both of these

11:14

structures for years,

11:16

you know, many years. And I always again

11:19

tended to lean toward, oh well, when

11:21

it's lower volatility, you put on the

11:23

diagonal because it's positive Vega. So

11:27

if the volatility expands, it's it's to

11:30

be good for this trade. And the

11:32

butterfly, you want to put on in lower

11:34

volatility. Or excuse me, you want to

11:36

put on the butterfly in higher

11:37

volatility because when volatility

11:39

shrinks, that's good for it. Well, what

11:42

if I don't want to sit there and try to

11:43

figure out is volatility higher or lower

11:45

right now? Is it going higher? Is it

11:47

going lower? I don't know. Uh so, let me

11:49

put on something that covers both sides

11:52

of the volatility equation.

11:54

And basically, one side kind of

11:56

neutralizes the other from a volatility

11:59

standpoint. That means two key things.

12:02

One, I can put this trade on anytime I

12:04

want. I don't need to sit and wait for

12:07

volatility to be higher or volatility to

12:09

be lower. It It works well in all those

12:13

environments. So, I'm pretty much

12:15

agnostic. I'm not waiting around

12:17

anymore.

12:18

>> So, how many days out have you put this

12:21

How many days

12:22

>> This one right Oh, this one right here

12:24

is a little further out than normal. I

12:26

just modeled one up here. This one is

12:28

modeled out at 32 days expiration. So,

12:31

and again, I often do these in the the

12:34

10- to 12- 14-day window, even a short

12:37

as 7-day window. Um I I just chose to

12:41

model this one a little further out. One

12:43

of the reasons that I get into in my

12:45

classes on going further out is if I

12:48

want something that's maybe going to

12:49

move a little slower,

12:50

uh like one of my students just left for

12:52

a trip to New Zealand for 3 weeks. He

12:54

still wanted to trade, but he didn't

12:57

know that he'd be able to look at his

12:58

screens every day. Well, if you just go

13:00

further out in time,

13:03

you get even a wider tent, and the T0

13:06

line stays flatter for longer. So, if

13:09

you go two or three days and you don't

13:11

have a chance to look at it, uh unless

13:13

the market makes a massive move, it's

13:16

not a big deal.

13:16

>> How does this trade develop as time

13:19

passes? Because now now you're showing

13:21

us you've set it up, right?

13:23

>> Yeah, so so this is the basic setup of

13:26

the trade here. Again, as you know,

13:28

we've got the butterfly in the center

13:30

and then we've got the two diagonals out

13:32

on either side. And then really what

13:35

we're looking to have happen over time

13:37

is we've got a pretty sizable amount of

13:40

theta working here. Of course, if we go

13:42

shorter days to expiration, this theta

13:45

is going to be higher. It's going to

13:47

decay faster, but we're going to be a

13:50

little bit narrower and therefore our T0

13:54

line is going to mound up a little bit

13:57

faster giving us a little more gamma.

13:59

So, what I teach my students is if

14:02

you're wanting to be a short short-term

14:05

trader and you're willing to sit at a

14:06

screen, we'll put these on two, three,

14:09

four days out.

14:11

If you are working full-time and you

14:14

might not be able to look at these for a

14:16

day or two, then go further out in time.

14:19

It's an equally effective trade. The

14:21

further you go out in time, the wider

14:23

your tent will end up being, the flatter

14:26

the T0 line will end up being, but

14:28

basically we're just looking for this

14:30

stated decay to kick in and this thing

14:33

will, you know, over time pretty quickly

14:37

in most cases, get to that 10% mark and

14:41

just take the trade off.

14:42

>> You said that that the iron butterfly

14:45

and the diagonals are kind of

14:46

neutralizing each other when it comes to

14:49

volatility. Is that actually something

14:51

you aim for to get like the Vega around

14:54

zero on the total trade?

14:56

>> I I don't necessarily shoot for that. I

14:58

mean, it's not like I'm coming in here.

15:00

We can see that the we've got positive

15:02

Vega of 11 on the double diagonal side

15:06

and then we're going to have negative

15:08

Vega of 19. Am I trying to structure

15:10

this in a way that totally neutralizes

15:12

Vega? No, I'm not. And the reason that I

15:15

don't worry too much about that and I

15:19

can't Uh,

15:20

as you probably know, I it it's just

15:23

impossible to go too far down this

15:25

rabbit hole, but just because a trade

15:28

models as positive Vega

15:31

does not mean it always acts that way,

15:33

particularly with calendars and

15:35

diagonals. It all depends on where

15:38

volatility comes in. Does it come in on

15:41

our our front period strike, or does it

15:43

come in on the later period strike? And

15:46

there's no way of really knowing that.

15:47

So, that's a long way of saying that

15:51

while this shows positive Vega, I don't

15:54

necessarily count on it acting as

15:58

positive as it shows, and therefore

16:00

there's no sense in me trying to balance

16:02

those things out. I mean, they do

16:04

balance things out

16:06

certainly to an extent, but am I trying

16:09

to go in there to get a precise number

16:11

here that takes this to some specific

16:13

number? No, I'm not. I'm just relying on

16:15

the two structures to generally act the

16:18

way they're supposed to.

16:19

>> Let's get a little bit more into the

16:21

details of your entry mechanics. What

16:25

are the underlying so use here? You said

16:28

a little bit about DTEs, but can you be

16:30

a bit more specific on that part as

16:32

well?

16:34

>> Yeah, so on all of the fly diagonal

16:37

series, they are built around

16:40

predominantly doing a Friday to a Monday

16:43

expiration. So, in other words, all of

16:46

the front period strikes

16:49

will end up being on a Friday date. And

16:52

then all of the

16:54

later dated strikes

16:57

will often be on the following Monday.

17:00

They don't have to be. They could be. If

17:02

you're trading something, for example,

17:03

let's say you're trading this in Tesla.

17:05

I've traded this in a lot of underlines.

17:07

I've done it in SPX is my main vehicle,

17:10

for sure. I've done it in spy. I've done

17:12

it in the queues. I've done it in IWM.

17:14

I've done it in Tesla, Microsoft. Um,

17:16

anything that's highly liquid. So,

17:20

but not all of them have Monday

17:22

expirations. So,

17:25

I always have the front side is always

17:28

going to be a Friday.

17:30

The back side or the further dated might

17:33

be the following Monday, might be the

17:35

following Friday.

17:37

That can vary depending on the

17:39

underlying. But the reason for that is

17:42

that

17:43

as most people probably know if you've

17:45

traded for any period of time, the

17:47

market makers tend to kind of spike up

17:50

the Friday volatilities a little bit to

17:52

carry them through the weekend. It's

17:54

kind of a little bit of a buffer. I want

17:56

to take advantage of that buffer. So, if

17:58

I'm going to sell short strikes here,

18:02

I want to sell them not only at the

18:05

money, but I want to sell them on a

18:06

Friday expiration because those tend to

18:09

usually be elevated a little bit anyway.

18:11

It helps me get a little bit of what

18:14

people sometimes call backwardation.

18:16

>> I want to go back to your example. You

18:19

said that you put your iron iron

18:22

butterfly was put at the money with a 50

18:25

wide

18:26

wings. But but then the diagonals, how

18:30

much further out do you put that?

18:33

Let's take this trade here for instance.

18:35

How how much further out have you put

18:36

those and why?

18:38

>> Right. So, basically I usually go an

18:41

additional 50 points or excuse me, yeah,

18:44

an additional 50 points on those. So, in

18:47

other words, I have looking at the call

18:49

side, I've got my short strike at at the

18:52

money. My long strike is 50 points

18:56

higher.

18:57

Then I go out and I sell my short strike

19:01

of the diagonal

19:04

roughly 50 points higher than that. This

19:07

is not exactly 50 points in this case.

19:10

The reason for that is over here on my

19:13

long side, once you get out a certain

19:16

distance, you don't necessarily have

19:18

strikes every five points. In this case,

19:20

we only have them at 25-point

19:22

increments. So, I I basically adjusted

19:25

this a little bit. Um I I could go out

19:28

in fact actually this is probably just

19:30

fine. So, I'm 50 points higher here.

19:33

And then I'm usually 20 points

19:36

from here

19:38

to here, but I don't have a 20-point

19:40

increment because again that doesn't

19:41

exist out there right now. But my goal

19:44

is to essentially be delta neutral. By

19:47

delta neutral, I you know, I don't care

19:50

if I'm positive

19:52

you know, one or two, negative one or

19:54

two, it's not that precise. I just want

19:58

to be somewhere around delta neutral. I

20:00

don't want to be 10 positive delta or

20:03

anything along those lines. And so yeah,

20:06

that's that's essentially what I'm

20:07

looking for. And then the same is true

20:08

on the downside. On the downside, I tend

20:10

to go 50 points and then the distance

20:13

from here to here will usually be 20

20:15

points. If I want a less expensive

20:18

trade, in other words, this is going to

20:20

carry roughly $3,000 in buying power,

20:23

$3,000 in risk on entry. If maybe I was

20:27

a little concerned about

20:29

having that much risk in the trade, I

20:32

could

20:34

basically just do a calendar

20:37

on either side. Now that would, I'm not

20:39

sure why it showed going up there. I'd

20:41

have to bring it in on the other side

20:43

too, but I can narrow the difference

20:45

here in these points because these to

20:47

some extent are acting like a a

20:49

vertical. So, I could basically change

20:53

them around a little bit. I take that

20:54

back. Obviously moving that down is

20:57

going to bring Yeah, I don't even have

20:58

strikes higher. But I can adjust these

21:00

around to

21:02

change the buying power I'm going to be

21:03

using here is basically what I was

21:05

trying to say. But since I only have

21:07

50-point increments here

21:10

or 25 points and then 50 points, there's

21:12

just not much I can do with this.

21:13

>> Let Let's repeat your rules for when you

21:16

take profit.

21:18

>> My goal is that within the first day

21:21

that I put the trade on. So, in other

21:23

words, and the next question is going to

21:25

be, "Well, do you put these on in the

21:26

morning? Do you put these on in the

21:27

afternoon?" Doesn't make a difference. I

21:30

I

21:31

of the fly eagle trade series, I've done

21:34

a couple hundred over a couple hundred

21:36

of them now, and I analyze all of those

21:39

with AI as far as days of the week, time

21:42

of day I put them on, all sorts of

21:44

information like that. Uh

21:46

Again, 250 or so trades isn't a massive

21:50

number. So,

21:52

uh anything that it did show, I don't

21:53

know that I would consider statistically

21:55

valid. But, I'm not finding any

21:57

indication that says, "Hey, morning's

21:59

better, evening's better, Monday's

22:01

better, Wednesday's better." But, back

22:03

to your original question of uh the

22:06

profit taking, so if I put one of these

22:09

on in the morning, um and it hits a 4-5%

22:12

by the close of the day, I'm going to go

22:14

ahead and shut the trade down. I'll take

22:16

5% in a day, all day, every day, because

22:19

that ends up being over 3,000%

22:22

annualized.

22:23

And that's after commissions, by the

22:25

way. So, that's okay. Yeah, exactly.

22:28

Exactly. I'll I'll do that all day,

22:29

every day.

22:30

Um but, if we roll into a subsequent

22:33

day, still on day one, what I call it,

22:36

day zero is the day I open it. On day

22:38

one, if I can attain those same

22:40

objectives on day one, yeah, I'll go

22:42

ahead and pull the plug. I'll take my 5,

22:44

6, 7% on day one.

22:47

After day one, then I'm waiting, looking

22:51

at getting to uh somewhere in the

22:53

neighborhood of around a 10 to 12-15%

22:57

profit target is what I'm shooting for

22:59

after for original opening.

23:02

>> Okay, but I guess that these trades

23:04

don't always develop as you want. And

23:07

sometimes they get into negative

23:09

territory.

23:11

You said you only have winners so far,

23:13

but I still have to ask you, when are

23:14

you planning to take a loss?

23:17

>> Uh in almost all of my options trading,

23:21

I'm a guy that

23:23

doesn't close out at a loss. Doesn't

23:25

mean I don't take a loss, but I don't

23:27

run stops on my trades, okay? And rather

23:30

than a stop, I use defined risk trades

23:33

to begin with. So, I know that this

23:36

trade, if I were to enter it right now,

23:38

has $3,000 in risk associated with it.

23:42

And that is worst-case scenario if the

23:44

market absolutely tanked and I never

23:47

adjusted the trade. One of the things

23:49

that every option trader needs to know

23:52

is how to effectively adjust your

23:54

positions. Because I've taken the time

23:56

to learn how to properly and effectively

23:58

adjust positions, more often than not, I

24:02

can

24:03

uh if a trade gets into trouble, if a

24:05

trade gets into negative territory,

24:07

particularly to the downside, I can

24:10

usually heal that wound. So, I will go

24:13

ahead. There's adjustments you can put

24:15

on, and I spend hours on adjustments in

24:17

the courses and things, but adjustments

24:19

you can put on that basically will allow

24:22

the trade to recover in most cases. Now,

24:25

specifically when I'm trading SPX,

24:27

regardless of what structure I'm

24:29

trading, whether it's a condor or

24:31

butterfly, which quite frankly, I don't

24:33

trade anymore unless they're in a flag

24:34

and a

24:35

configuration. But, um I don't take

24:38

stops because uh stops, specifically

24:42

mechanical stops, when you get a hard

24:44

fast move in the market, up or down, uh

24:48

a lot of the market makers start

24:49

standing back, and and the market just

24:51

kind of dries up. Bid-ask spreads will

24:53

get really, really wide, and if I have a

24:56

stop order out there that just gets

24:58

activated in the market,

25:00

I am going to get crushed on that

25:02

bid-ask spread. My loss is going to be

25:05

significantly larger than what it showed

25:08

on paper by the time I get filled. So,

25:11

for that reason, uh I do not use stops,

25:14

at least not mechanical stops. I don't

25:16

use stops of any type. I look at the

25:18

position after the market's moved, it

25:21

will be down, I'll decide what is an

25:23

adjustment technique that I might make

25:25

on that trade, and I'll go ahead apply

25:28

an adjustment, and that in many cases

25:32

can bring the trade back to a lower

25:34

level of profitability, or at least

25:37

reduce losses in the trade. So, that's

25:40

usually what I do as opposed to taking a

25:42

stop.

25:43

>> So, let's be specific about this. Let's

25:45

say the market makes a big fall down,

25:48

and this trade gets into trouble. What

25:51

are the ways you can use specifically

25:53

then to adjust this trade?

25:56

>> There are a lot of different ways when

25:59

you're dealing with eight legs. So, um

26:02

for in the course, I kind of categorize

26:05

I've got at least five different

26:08

downside adjustments that I recommend

26:10

students go through to try to determine

26:13

which one's going to work best. Now, it

26:15

depends on how early you are in the

26:18

trade. If if you're brand new and early

26:20

in this trade, there's certain things

26:22

are going to work better than others. If

26:23

you get later in the trade, your you're

26:27

more limited as to what will work. But,

26:30

some of the standard things that you're

26:31

going to do, if the market, let's just

26:33

say right now, if the market were to

26:35

move down significantly, some of the

26:37

first lines of defense that I look at is

26:40

I'll move my calls, my short calls,

26:42

down.

26:43

If I take some of the short calls that

26:45

are in this structure and I move them

26:47

lower, I'm picking up premium. I'm able

26:50

to sell the the um or buy back my short

26:54

calls for less profiting on that and

26:56

then I go down and I sell them closer to

26:58

the current market. That brings premium

27:01

into that trade and that's going to you

27:02

know, tilt my tent open it up a little

27:05

bit to the downside.

27:06

>> Is it a short call both in the these are

27:08

the short calls both in the butterfly

27:10

and the diagonal that you would move?

27:12

>> I I will model I will model both of them

27:15

and I'll see which one gives me the most

27:17

favorable

27:19

um

27:19

picture if you will. And what I'm

27:21

looking for in a favorable picture by

27:23

the way is I want something that's going

27:26

to keep my theta levels high. I want

27:29

something that's not going to force me

27:32

to add too much additional buying power

27:34

or risk into the trade. So those are the

27:38

kind of my main caveats when I look at

27:41

making that adjustment is you know, what

27:44

adjustments can I make that aren't going

27:48

to introduce a whole bunch more buying

27:50

power. You're going to have to introduce

27:51

some, but not introduce a massive amount

27:53

of additional buying power and something

27:55

that's going to keep my theta high. And

27:57

the standard moves again are going to be

27:59

move some of the short calls down and

28:02

I'll model the different ones, you know,

28:03

which ones do I move down and that's

28:06

also going to vary a little bit based on

28:10

my perception of the market, where I

28:12

read the range of the market. Now this

28:16

this strategy does not require

28:18

technical analysis for the most part.

28:21

It's not like you're day trading and

28:22

you're looking at 5-minute bars etc.

28:25

I am looking at a market range that's a

28:28

couple hundred points, 300 points wide

28:30

and I'm picking out where there might be

28:32

support and resistance and it it doesn't

28:37

have to be very precise at all, but if

28:39

for example, I'm taking heat to the

28:42

downside, the the market's moving down,

28:45

my trade might be down a little bit of

28:47

money at that point. Um before I make an

28:50

adjustment, I'm going to go out and I'm

28:52

going to take a look at the chart and

28:55

I'm going to see, well, are we coming

28:57

down to an area that might represent

28:59

some support? If we are, I might hold

29:01

off a day before I go and make any

29:03

adjustment.

29:04

>> Moving down the calls is one way. What

29:06

could be other ways?

29:08

>> Another way, if you get a massive gap

29:10

down, let's just say again, this one

29:12

that I modeled up, I'm just taking a

29:14

look at it here. So, it's centered at

29:16

6880.

29:18

Uh if our market moved down, let's just

29:20

say we got a 200-point drop here. So,

29:23

we're down here to 66

29:25

you know, 80, somewhere down in here. A

29:27

couple things are going to happen. First

29:29

of all, our market drops down to here,

29:31

volatility is going to increase on that.

29:34

And if volatility increases, our tent

29:37

will usually widen out. Okay? So, that

29:41

6680 or whatever, well, gee, we're only

29:44

down 128 bucks if the market goes down

29:47

there. Based on Black-Scholes options

29:50

modeling, which again, it may not play

29:52

out exactly like that. But that's why

29:54

the downside move, in my perspective, is

29:57

not the one that I fear. This trade

29:59

handles downside moves really well. It

30:02

handles increases in volatility really

30:04

well. But all that said, so let's just

30:07

say we get that big downside move and

30:10

volatility picked up. Well, a couple

30:12

things that I could consider, I may

30:15

choose to come down because if

30:17

volatility picked up, um we're probably

30:20

going to have some backwardation down

30:22

here. So, what do I mean by

30:23

backwardation? If I come and look at

30:25

volatility, now we're not going to see

30:27

that here right now, just to be clear.

30:29

Yeah, there actually is a slight amount,

30:30

but if we came down below the market

30:33

here

30:34

and we had a little bit of

30:35

backwardation, I would just add in

30:39

a whole new diagonal down there.

30:42

And that you can see just widens this

30:44

whole structure out immensely. And it

30:46

would widen it out even further

30:49

if we had more backwardation here.

30:52

>> What what do you mean by backwardation?

30:54

>> Backwardation is where the front

30:57

volatility, in this case is 1799,

31:00

is the IV on the front period here

31:04

versus the back period is 1760. So, that

31:08

is actually a little bit of

31:09

backwardation. When the front volatility

31:12

is higher than the back volatility. The

31:14

more that happens, if I'm selling

31:17

something as an option seller, I want to

31:20

sell something that's highly valued. I I

31:22

want to sell the higher-valued stuff.

31:25

And buy the lower-valued stuff. So,

31:27

that's kind of what you're doing here.

31:28

That's what you're

31:29

That's an ideal situation for making an

31:32

adjustment. It It actually is um

31:36

when the market moves to the downside,

31:38

your toolbox opens up.

31:40

And you can see how that changed this

31:42

whole structure of this tent. It

31:44

increased my theta decay. It made it a

31:46

whole bunch wider. So,

31:49

downside adjustments are easy to model,

31:52

easy to plan, um easy to implement.

31:56

>> But, we had recently a big jump up in

31:58

the market. And I get from what you are

32:00

saying that that's actually the type of

32:02

situation you don't like.

32:04

>> That that is the type of situation I

32:06

don't like. So, now

32:08

I should say that there are ways of

32:11

modifying this trade a little bit. If I

32:14

had a or if I had an inclination that

32:17

hey, we are in a really super bullish

32:19

mode. Now, I'm not talking just a a

32:21

drift up of a couple hundred points over

32:23

a week. That that doesn't make any

32:25

difference. This handles that just fine.

32:28

But, when you look at our markets here

32:30

in the past

32:32

9 days, and we are up over 10% in 9

32:36

days, one of those being a 3% gap up,

32:40

that is somewhat unheard of territory. I

32:43

mean, you've only had a move like that

32:45

maybe once every 3 4 years, and it's

32:48

usually after a big drop like in COVID

32:52

era, you had massive massive drop, and

32:54

then the Fed comes out and announces a

32:56

bunch of stimulus, and then the market,

32:58

you know, rips back up. On those days,

33:00

we did have uh I believe one of those

33:02

days was a 10% gap in a day. So, that is

33:07

not a favorable situation for this

33:09

trade, but they don't happen very often.

33:12

>> Okay, but what can you do what would you

33:14

do if it let's say maybe not 10%, but if

33:17

you had like a big jump here, it goes

33:19

beyond your the short on your diagonal

33:22

call diagonal. What what would you do

33:23

then?

33:24

>> So, similar similar uh moves, or I

33:28

should say the opposite move. So, if the

33:31

market starts moving up, one of the

33:33

standard moves is that I would take my

33:36

short puts, and I would move those a

33:39

little bit higher. And we can see if I

33:40

move those higher, that opens up this

33:43

upside here a little bit. So, I've got

33:46

my risk is a little further out, and my

33:48

risk is a little less if this thing

33:50

gaps, you know, all the way up to here.

33:53

Now, the difference though is

33:57

anytime you're adjusting an options

33:59

trade that's going against you to the

34:01

upside, this is true of butterflies,

34:03

this is true of calendars and diagonals,

34:05

it's true of condors, you're not getting

34:07

as much premium when you go to make that

34:10

adjustment. So, it's a little bit harder

34:13

to do, and not harder. Um I mean, it

34:17

it'll still execute, it will still fill

34:19

just fine. You're just not getting a

34:21

premium

34:23

um to make that adjustment. So, the

34:26

adjustments become a little more

34:27

expensive. You're getting a little more

34:29

tied up into that trade at that point

34:31

than what you would have to do in a down

34:33

move. So, down moves are are easy peasy.

34:37

These big up moves, again, a grind up,

34:40

not a problem. These big up moves

34:42

represent more of a challenge just

34:44

because any move I would make to try to

34:47

bring extra premium into this trade, I'm

34:49

just not going to get the extra premium

34:50

because volatility is low at that time.

34:53

>> And uh that big jump upward also

34:56

typically lead to a big drop in

34:58

volatility. And diagonals are not doing

35:01

are not doing very well in big drops in

35:03

volatility, are they?

35:05

>> Uh no, the diagonal doesn't do as well

35:07

in a big drop in volatility. And again,

35:10

the bigger part is the

35:13

if we stay generally within a couple

35:17

hundred points of where this trade is

35:19

put on. Again, here we're 6880.

35:22

I mean, if we go up to, you know, 7,000,

35:26

7100, 7500, whatever. So, you've got a a

35:30

couple hundred point range there that

35:32

you can float back and forth in, and

35:34

this thing is going to decay very nicely

35:37

in there without too much difficulty.

35:39

It's that big gap up that you then start

35:44

to take heat on the upside. And while

35:46

you can adjust that out as well, you can

35:49

do different adjustments like you just

35:51

saw me do, you don't get nearly as

35:53

favorable terms

35:55

to make that adjustment. You don't get

35:57

as much premium coming in, so it's more

36:00

difficult to write the ship, so to

36:02

speak.

36:02

>> And I guess this is the worst that can

36:04

happen with this strategy. Is that so?

36:06

>> I wouldn't call it the worst. This is

36:08

would be what I would call the second

36:10

worst. And and again, fortunately, this

36:12

does not happen very often. Right now,

36:14

this move that we're having is, you

36:16

know, there hasn't been a move like this

36:18

in years that has been this sustained,

36:22

this fast. But the worst,

36:26

it's it's important. I'm just doing a

36:28

video right now that's going to be added

36:30

to the course that specifically talks

36:32

about what breaks the fly agonal series

36:35

trade. It's important that every trader

36:37

know, no matter what you're trading, you

36:39

need to first look at the worst case

36:41

scenario so you understand that.

36:44

>> So what is the

36:45

>> Well, the worst case scenario on this

36:47

one is what I call the whipsaw and it

36:49

happened in COVID and why that's worse,

36:52

it happened in COVID and it happened

36:54

more recently in the tariffs on tariffs

36:57

off situation last year.

37:00

And both of those, I mean our market

37:02

dropped

37:04

15, 20% in a period of a couple days

37:08

and and that's fine. That big down move,

37:12

I can adjust for that. I can add in

37:14

calendars. I'm getting a premium. We've

37:16

got backwardation.

37:18

Everything's good. I I got no problem

37:20

with that at all. So and most traders

37:22

fear the heck out of that. I'm perfectly

37:24

fine with that because I know these

37:26

adjustment techniques. The worst case

37:28

scenario there is we get that big move

37:31

down and the market starts to stabilize

37:33

a little bit and I've put on all my

37:35

adjustments, my my new tent structure

37:38

is, you know, right down around where

37:39

the market is now and lots of theta

37:42

decay, everything's rosy and then we

37:45

decide, oh well, tariffs are off. I

37:48

solved the problem. And then the market

37:50

rips back up right through the newly

37:54

established tents you've created. So in

37:56

that scenario you're basically getting a

38:00

double whammy if you will because you

38:02

you paid money to make your adjustments

38:04

when the market went down. You had to

38:06

give up something in order to reset your

38:09

tent. So you've reset your tent, you've

38:12

you've paid to pick up camp and move to

38:14

a new location and that new location is

38:17

great and then all of a sudden it's on

38:20

fire as the market's ripping back up and

38:23

then you need to chase your tail and go

38:26

back to the other side. So, that's the

38:28

worst case scenario and that's not

38:30

unique to this trade. Any sort of Delta

38:33

neutral

38:34

Theta positive condor butterfly whatever

38:38

is going to suffer that that same fate

38:41

in that type of market. I'd say this one

38:44

suffers it less than those others do,

38:47

but that is the worst case scenario, but

38:49

fortunately I went back last 20 years

38:52

we've had seven events like that.

38:54

>> We we have presented a fly diagonal

38:56

strategy earlier and this is the fly

38:58

diagonal

39:00

I'm just curious about how what do you

39:01

think are the pros and cons of those two

39:03

if you are to compare those strategies?

39:06

>> Yeah, so great question and I would say

39:09

that the fly diagonal interesting again,

39:12

there's three variations of this just

39:14

recently I took all the results from

39:16

well first of all, I fed the P&L

39:18

diagrams like what you've already seen

39:20

for all three of them. I fed them to

39:22

three separate AI's.

39:24

I tend to use um

39:26

uh let's see I use uh chat GPT, I use

39:30

Gemini and I use Claude at this point.

39:32

At one point I also use perplexity, but

39:34

those are the three I fed all three of

39:36

them these P&L diagrams on the sample

39:39

trade like hey, if I'm going to enter

39:40

this trade right now, this is what it's

39:42

going to look like. Tell me where

39:44

they're going to break. Tell me where

39:45

I'm going to run into problems. Tell me

39:47

which one you like and why. All three

39:49

AI's agreed fly D was the best as far as

39:54

the it is the more expensive one to

39:56

enter as far as buying power, but it's

39:59

the best because it has the widest tent

40:01

fastest Theta decay, etc. All three were

40:03

in agreement on that. All three also

40:06

said the original fly diagonal which if

40:08

you go back and watch our prior video

40:10

here John,

40:11

while it did phenomenal and it's at a

40:13

95% win rate,

40:16

all three said "Retire that one."

40:19

That that one is has been replaced by

40:22

the fly B variant and the fly D.

40:25

So, and and the reason is the only

40:28

reason it gave for using that original

40:30

one. The original one is the least

40:31

expensive to enter. It requires the

40:33

least amount of buying power because it

40:36

it only has

40:37

one side that has a diagonal in it and

40:40

diagonals are more expensive.

40:43

>> So, that's just to make it clear for the

40:45

audience. That is a put diagonal on the

40:47

downside is a call and broken wing

40:49

butterfly on the

40:51

upside.

40:51

>> Correct.

40:52

>> And your plan in your fly angle B, what

40:55

what what was that again?

40:56

>> So, what what's different with the B is

40:59

the very first adjustment we would

41:01

always make when the market moved up

41:03

with the original variant is I would

41:05

take the very upper long call in the

41:08

butterfly and I would move it out to the

41:11

next expiration.

41:13

So, that would be an adjustment we would

41:15

normally make if the market started

41:18

moving up on us. Well, as we were having

41:20

this non-stop kind of slow grind up

41:22

market over the past year, it's like,

41:25

"Why don't we just start there?"

41:27

So, we started analyzing just starting

41:30

there. That would be our starting

41:31

position for the trade and it it has

41:34

higher theta so it decays faster. It

41:36

does cost a little more to enter.

41:39

So, these three variants to get back to

41:42

the analysis part, I then took all of

41:45

the trades that I've done and I've got

41:48

roughly 100 of the original variant.

41:51

I've got about 60 or 70 of the B's and

41:54

I've got 50 of the D's. I fed all of the

41:57

files into AI and had it analyze those

42:01

and the results actually came back

42:03

exactly as they had predicted. So, it

42:05

was kind of interesting because I asked

42:07

all the AIs just based on this P&L

42:09

diagram, what would you expect? After I

42:11

got those results, I fed in all of my

42:13

data and it

42:16

AI was right in its assessment and

42:18

basically said the only reason to use

42:20

the A variant, the original, I I say A,

42:23

it's actually O for original. Confusing.

42:26

The only reason to use the original

42:28

variant is if you want a lowest cost to

42:31

entry. It's going to have the narrowest

42:33

overall range to it. It's still 150

42:36

points wide, but it's going to have the

42:38

lowest overall range.

42:40

The B, which is that widened out uh

42:45

calendarized

42:47

butterfly

42:48

uh has a

42:50

mid-range width of a tent,

42:53

faster theta decay than the original,

42:56

and then the D variant has the

42:58

ultra-wide tent,

43:01

and

43:02

it is a little more effective in higher

43:06

volatility environments

43:08

because we're selling the two strikes

43:10

right at the money.

43:12

Now, I've been using it even in this low

43:14

volatility environment and it works

43:16

fine. Obviously, with 50 winners out of

43:18

50 trades, uh it has performed fine, but

43:21

I will hit my profit targets faster

43:24

if I enter

43:26

that trade when volatility is higher.

43:29

>> Okay, there are a lot of different

43:31

variations here and a lot of facts to

43:33

keep uh track of, but I do recommend uh

43:36

the audience to watch the interview you

43:39

did with you about the original fly

43:41

diagonal trade. But, you know, I always

43:45

ask,

43:47

place your Please place your strategy on

43:49

a risk profile scale from one being very

43:52

low risk to 10 being very high risk.

43:55

Where would you put this latest

43:57

variation, the fly diagonal, uh on such

44:00

a risk profile scale?

44:02

>> Yeah,

44:03

good question and I

44:05

I guess I would say it depends on your

44:08

level of um

44:11

uh

44:12

no, it doesn't depend on your level of

44:13

experience. That's probably not a way a

44:16

good way of putting it. It is a defined

44:17

risk trade. And at the end of the day,

44:21

if you wanted to trade this in spy, you

44:23

can enter this trade for a max risk of

44:25

$150 to $250.

44:28

So

44:29

I feel like that question, particularly

44:32

when you're dealing with defined risk

44:34

trades, puts a defined risk trade

44:36

automatically in the lower half of that

44:38

scale. You know, if I were trading a

44:40

naked strangle or something, I would

44:42

call that

44:43

probably one of the higher risk trades

44:45

you can do. So, just the sheer fact that

44:47

this is defined risk, I think certainly

44:49

puts it to the lower end of that scale.

44:50

And if I remember your scale, John, it

44:52

was 1 to 10 and and with one being the

44:55

lowest risk, right?

44:56

>> Yes. Yes.

44:58

>> Maybe three, four, somewhere in that

45:01

general range. And I think you also have

45:03

to factor in the massively high win

45:05

rate. I mean, with a 95% win rate over

45:08

the entire fly angle series,

45:11

you're also pretty low risk just because

45:14

of the high win rate.

45:15

>> Steve, you you had touched on this in

45:17

the beginning, but let's get back to

45:19

your results of trading this strategy so

45:22

far with 51 trades, if I understand it

45:25

correctly.

45:26

>> Well, that that's not totally correct.

45:29

So, this that specific strategy, yes, 51

45:32

trades and 50 out of 50 winners up until

45:36

just yesterday. Uh that said, I

45:40

those were my personal trades. I think

45:43

it's probably more meaningful to show

45:45

you the trades that I actually share

45:46

with students in the alert service.

45:48

Let's take a look. I've got actually

45:50

some results that I've pulled together

45:52

here. And to be clear, these aren't the

45:54

results on just the fly diagonal. These

45:56

are the results, which I consider to be

45:58

a little more important because these

45:59

are all in my alert service. They were

46:02

all shared with the students, but a

46:03

couple things to note here. First of

46:05

all, this is August of last year is when

46:07

I started doing this.

46:09

These are the results during that period

46:11

of time, and this red line here is the

46:14

SPX. So, we can see while the SPX is up

46:17

a little bit over this period of time,

46:20

um the results of the service is up

46:22

significantly more with all of the

46:25

various fly agonal trades. And again,

46:27

I'm I've traded all three variations in

46:30

here. I share all three variations. 100%

46:33

winning months. This is the profit by

46:36

month. Uh 95% win rate. A 6.98

46:42

of the um profit factor. Average days in

46:45

trade 5.2. Now, remember the prior

46:48

diagram we looked at was 4.1. That was

46:51

specifically the fly diagonal version of

46:53

the trade. So, this is all of them

46:56

combined.

46:57

Um 72%

46:59

required no adjusting. And the win loss

47:03

streak I like to look at. Well, there

47:04

were 31 wins in a row. That's I'm on

47:07

that streak right now.

47:09

Uh winning or losing trades in a row,

47:12

the streak has been one. And it happened

47:14

a couple times. We can see down at the

47:17

bottom here. This is the uh number of

47:20

weeks winning. There have been two

47:22

[clears throat] losing weeks in there.

47:23

So, one other thing I'd like to share.

47:25

This is my Trade Year account. Now, this

47:27

is a smaller account that I set up

47:29

specifically just to trade the fly

47:31

agonal series in. I started back in July

47:35

here, and this trades or this account

47:37

started with about $28,000.

47:40

And now, as of April 6th actually is

47:43

when I took the screenshot, uh I had

47:46

grown that to $59,000. So, that's about

47:48

a 106% gain in roughly 9 months or about

47:52

$30,000.

47:54

So, and I it's It's that amount now. I

47:56

haven't traded it as consistently over

47:58

the last week or two, but I wanted to

48:01

provide this because these screenshots

48:03

of that P&L diagram, if any of you have

48:05

Trade Year, you know that it shows right

48:07

on your

48:08

web login on the upper right. So, these

48:10

are taken directly from there. So,

48:13

again, the the performance has been

48:16

in my 30 years of trading, I've never

48:18

seen anything perform like this trade.

48:21

As we always say with options trading,

48:24

uh past results do not reflect future

48:27

results, or whatever that phrase is.

48:29

John, I'm sure you'll get to it. You'll

48:31

probably be saying it a little bit later

48:33

as well.

48:34

But, one of the things I like to do with

48:36

students is I want to make sure, as I

48:38

mentioned earlier, that when you look at

48:39

a trade, the first thing you look at is

48:41

what's the worst-case scenario. What do

48:44

Where is this thing going to break, and

48:46

how bad's it going to hurt when it

48:47

breaks? And that's my job is to make

48:50

sure people understand that,

48:53

and then they can decide what to do with

48:54

it from there.

48:55

>> Let's uh sum up. What are the two or

48:58

three

48:59

takeaways that you really would like the

49:01

audience to remember from this

49:02

interview?

49:04

>> Wide range, no matter which one of these

49:06

you use, wide range,

49:09

theta bomb. So, I have people that trade

49:13

other different strategies, not to take

49:15

anything away from other strategies, but

49:18

we all know some of the names out there,

49:20

Rhino, A14,

49:23

um M1, um there there's a bunch of

49:26

different other trades out there that

49:27

have unique names. The vast majority of

49:30

them just have a single structure that's

49:32

decaying, providing that income. The

49:36

fact that the fly diagonal series,

49:39

based on, quite frankly, AI helping me

49:42

assemble this, has multiple, either two,

49:45

or in the case of the fly diagonal,

49:46

three different structures, all

49:49

overlapping, providing decay at the same

49:51

time. So, I'd say there's really two.

49:54

It's

49:55

really wide and um

49:58

theta bomb. And I guess if I were to

50:01

toss a third one in there,

50:03

I would say rinse, wash, repeat. In

50:05

other words, our goal is to not have to

50:08

adjust many of these, get out of them

50:10

quickly, capture your 5 10%, which

50:13

again, if you capture that in 3 4 5

50:16

days, that's over 1,000% annually, and

50:19

do it again.

50:20

>> And what would be good sources to learn

50:23

more about these kind of trades

50:26

and kind of structures?

50:29

>> Uh if you're talking about these kinds

50:31

of trades and structures meaning

50:33

butterflies, calendars, and diagonals

50:36

separately, there's lots of different

50:38

sources out there. If you're talking

50:39

about the flyagonal series specifically,

50:43

uh I'm your guy. I'm I'm the one that

50:44

kind of developed it, if you will, and

50:47

have uh promoted. I'm sure there's other

50:49

people that have put these structures

50:51

together over time. I think what's a

50:53

different here is first of all, AI did

50:57

help me figure out how to best assemble

51:00

them from a strike standpoint, etc. by

51:03

doing lots of back testing and analyzing

51:05

of my trades. And I think the second

51:08

piece of the puzzle here is that we have

51:10

a piece of software. It's not my

51:12

software. I got no stake in the company,

51:14

etc. But the software has been developed

51:16

in a way and that it allows you to

51:19

manage these. So, I think that's why

51:22

while people may have done trades like

51:24

this before, I don't think anyone has

51:26

really gone to the energy of promoting

51:28

them or uh put them out there as an

51:31

actual profit engine, if you will,

51:34

because they've just been too hard to

51:35

manage in the past. But uh Charles

51:37

Option Traders Assistant helped me solve

51:39

that problem, and we have that tool in

51:42

our hip pocket now.

51:43

>> Steve, thank you very much for once once

51:46

more coming back to Theta Profits and

51:49

discuss one of your strategies and this

51:51

this was a follow-up of the first

51:54

interview I did with you about your Fly

51:56

Diagonal and this is

51:59

next development of that strategy that

52:02

you just launched and brought out there

52:04

and it was really inspiring

52:07

to learn about this and of course

52:09

a lot of the secret I guess is is in the

52:12

adjustments, but

52:14

I do recommend people to watch the first

52:16

interview we did with you. The link is

52:19

popping up on the screen right now.

52:21

Thank you very much Steve for for

52:24

sharing your knowledge with us.

52:26

>> Thank you so much. I really appreciate

52:28

it and if anybody has any questions,

52:31

feel free to email me

52:32

steve@optionsincomeacademy.com.

52:35

I love hearing from people. Thank you

52:37

John, I appreciate it.

52:38

>> Thank you.

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