Full Transcript

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Low-Stress Equity & Options Strategy | Ft. Kirubakaran Rajendran | MastersInOne | EP - 72

1:04:02854 summary words · ~4 min readEnglishTranscribed Jul 6, 2026
Summary

A rotational strategy combining Nifty Bees and Gold Bees using Donchian channels reduces drawdowns while generating 18% CAGR, paired with zero DTE options selling for additional returns, emphasizing discipline and AI-driven backtesting.

This strategy offers a systematic, low-stress approach to trading that balances risk and returns, potentially outperforming traditional buy-and-hold methods while minimizing emotional decision-making through process-driven execution.

Section summaries

0:01-3:20

Intro / Sponsor

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The video opens with music and a brief introduction to the podcast's theme of mastering one trading method. Kirubakaran Rajendran introduces his background, starting with 5,000 rupees in 2008 and growing to 2.5 crores, emphasizing his transition to systematic trading in 2014.

  • Kirubakaran started with 5,000 rupees and now trades with 2.5 crores.
  • He shifted to systematic trading in 2014 after reading Nicholas Darvas' book.

Introductory content with no actionable insights.

3:20-16:39

Neuroplasticity and Trading Discipline

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Kirubakaran explains how neuroplasticity—formed through repeated habitual actions—applies to trading. He argues that traders often switch strategies too quickly, preventing the formation of disciplined habits. Using a watch-wearing analogy, he demonstrates how breaking rules triggers discomfort, forcing traders back to their original process.

  • Neuroplasticity forms after 100 days of consistent strategy execution.
  • Breaking rules triggers discomfort, reinforcing adherence to the process.

Critical insight into why discipline matters more than strategy selection.

16:39-24:59

Rotational Strategy Explanation

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The core strategy combines Turtle Trading (Donchian channels) and Dual Momentum. By dividing Nifty Bees by Gold Bees, a ratio chart is created. When the ratio trends up, buy Nifty; when down, buy Gold. This reduces drawdowns (25% vs. 60% in 2008) while maintaining 18% CAGR.

  • Use 20-day Donchian channels on the Nifty/Gold ratio to determine trades.
  • Strategy achieved 18% CAGR with 25% drawdown vs. 60% for Nifty alone.

Detailed breakdown of the strategy's mechanics and performance metrics.

24:59-33:21

Options Selling Strategy

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Kirubakaran describes selling short straddles at 9:16 AM on expiry days, using a 30% combined premium stop loss. This generates 12% annual returns with minimal effort, complementing the passive equity strategy. He emphasizes avoiding emotional decisions by focusing on process over outcomes.

  • Sell short straddles at 9:16 AM on expiry days with a 30% stop loss.
  • Options selling contributes 12% annual returns with controlled risk.

Actionable method for generating additional income with defined risk parameters.

33:21-41:40

AI Backtesting Process

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Kirubakaran demonstrates using TradingView to download historical data for Nifty Bees, Gold Bees, and their ratio, then inputting it into Claude AI to generate backtested results. This eliminates the need for coding knowledge, enabling traders to validate strategies quickly.

  • Download data from TradingView and input into Claude AI for backtesting.
  • Claude generates HTML reports showing profitability and drawdown metrics.

Practical guide to leveraging AI for strategy validation without technical expertise.

41:40-50:00

Index Funds vs. Stock SIPs

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Kirubakaran advocates for index fund SIPs over individual stock investments, citing historical disruptions (e.g., whale oil to kerosene) as risks. He emphasizes long-term wealth transfer and the reliability of index funds over volatile individual stocks.

  • Index funds are safer for long-term wealth transfer due to industry disruption risks.
  • SIPs in Nifty Bees or Gold Bees ensure capital preservation and continuity.

Strategic advice on asset allocation and risk management for long-term goals.

50:00-58:20

Career Transition and Risk Management

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Kirubakaran advises against quitting jobs prematurely, recommending a 2-year buffer of non-trading income. He shares his own experience of losing money after leaving Infosys, stressing the importance of financial stability to avoid emotional trading decisions.

  • Maintain a 2-year buffer of non-trading income before quitting a job.
  • Financial pressure leads to deviation from trading rules and poor performance.

Critical advice for traders balancing career transitions with risk management.

58:20-1:04:00

Closing Remarks and AI Tool Recommendations

optional

The podcast concludes with gratitude and a recommendation to use Perplexity for research, ChatGPT for general queries, and Claude for trading-related tasks. Kirubakaran emphasizes the importance of genuine knowledge-sharing and the value of process-driven strategies.

  • Use Perplexity for research, ChatGPT for general queries, and Claude for trading analysis.
  • Focus on genuine knowledge-sharing and process-driven trading for long-term success.

Valuable insights but less critical than earlier sections.

Key points

  • Rotational Strategy with Donchian Channels — Divide Nifty Bees by Gold Bees to create a ratio chart, then apply 20-day Donchian channels to determine buy/sell signals. Buy Nifty when the ratio trends up, Gold when it trends down.
  • Neuroplasticity in Trading Discipline — Repeated adherence to a strategy for 100 days forms neuroplasticity, making it harder to deviate from rules. Breaking habits triggers discomfort, forcing traders back to process-focused execution.
  • AI-Driven Backtesting Simplification — Use TradingView to download historical data for Nifty Bees, Gold Bees, and their ratio, then input into Claude AI to generate backtested results without coding knowledge.
  • Zero DTE Options Selling — Sell short straddles at 9:16 AM on expiry days with a combined premium stop loss (e.g., 30% move), closing at 3:20 PM. Focus on 12% annual returns via 8 monthly expiries.
  • Index Fund SIP Over Stock SIP — Invest in index funds (e.g., Nifty Bees) instead of individual stocks for long-term wealth transfer, citing historical disruptions like whale oil to kerosene as cautionary tales.
There is no risk-free trading in trading, but there is stress-free trading. Kirubakaran Rajendran
The pain of losing money is two times higher than the pleasure of making money. Kirubakaran Rajendran

AI-generated from the transcript. May contain errors.

0:01

[music]

0:07

[music]

0:13

[music]

0:16

>> Trading strategy is the only thing that

0:18

you need to know. Everybody will become

0:20

a profitable trader. No risk-free

0:23

trading in trading, but there is

0:24

stress-free trading. Our no trading

0:26

mentality.

0:28

We always aim for higher risk, but that

0:31

is not the right approach. The

0:33

professional traders will always aim for

0:35

lower drawdowns. So, that is become

0:37

sensation among the world like, "Okay,

0:39

so anybody can become a profitable

0:41

trader if they have a positive edge."

0:43

>> How much capital you started your

0:45

trading journey?

0:47

>> I started with 5,000 rupees of my

0:48

scholarship money. Now, I'm currently

0:50

trading with a capital of around

0:55

>> Namaste dostho.

0:56

My Vijay Thakkar.

0:59

I'm already Masters in one game podcast

1:02

man.

1:02

I mean I can do podcast guest and Kiro

1:05

G. Kiro G. Chennai

1:08

or yeah, it's option seller. Yeah. But I

1:10

can podcast

1:12

and I can

1:13

I will have some 30% return generate cut

1:17

the head. Or basically you don't know

1:18

it's going to do part me divide cut the

1:20

head. I will go both the head passive

1:22

income or that I had. Or do so I will do

1:25

both the head will have active income.

1:27

So, do active income can do returns. Or

1:30

generally will option selling

1:32

cut the head. Or passive income can do

1:35

returns. Yeah. Or I can do investment go

1:38

investment cut the head. I will do

1:39

investment I will do investment cut the

1:41

head. I will do concept and I will do

1:44

concept and I will do head. I will do

1:46

some option seller will have head. I

1:48

will do cut the head government bond cut

1:50

the head. I will do nifty bees cut the

1:52

head. I will do bees cut the head or I

1:55

will do pledge cut the head. I will I

1:57

will do be I will do cut the head

1:59

investment go

2:03

additional

2:05

target

2:08

podcast

2:10

mindset

2:15

return generate

2:17

but yeah

2:21

focus

2:28

logical

2:33

May

2:36

strategy

2:39

income

2:41

income

2:48

strategy

2:50

every 30% generate

2:52

target

2:57

without

2:58

time

3:03

capital

3:04

investment

3:06

return

3:07

capital

3:09

remaining target

3:12

without

3:14

wasting

3:16

podcast

3:19

request

3:20

podcast

3:21

data

3:22

95%

3:24

podcast

3:26

because

3:32

English

3:34

language matter

3:36

matter

3:38

trader

3:39

investor

3:40

strategy matter

3:43

request

3:44

English

3:49

English

3:53

strategy

3:54

investor

4:11

>> Thank you so much, Vijay. Thank you so

4:13

your podcast. Now, we know virtually for

4:15

a long time, but this is the first time

4:17

now we are meeting in person. And I

4:19

always hear good about you. And now,

4:22

because in our industry, we know, right?

4:24

I told you when we were coming in cab,

4:26

there are very few genuine people who

4:28

share knowledge with respect to our

4:30

industry. And you are one among them who

4:32

has been continuously sharing whatever

4:34

things that you have learned. And also,

4:36

you are really genuine in what you are

4:37

doing. So, you should keep doing what

4:39

you are doing.

4:49

Uh, I saw your tweet one day when you

4:53

bought your house and you take your

4:54

parents to that house.

4:56

>> Yes.

4:56

>> So, that time I feel, I don't know why,

4:58

I feel proud it. You know, then and that

5:01

time I commented also for you.

5:02

>> Right. Right.

5:03

>> Because I can understand that feeling

5:05

that what it it gives to your parents,

5:08

okay?

5:08

>> Right.

5:13

>> on the Twitter and then I understood

5:14

that you are not normal trader.

5:17

>> [laughter]

5:17

>> You are very systematic trader and you

5:20

work with rules.

5:21

>> Right.

5:22

>> And then I saw your podcast with Saket.

5:25

>> Okay.

5:25

>> Okay. So, that time I decided that I

5:28

will do podcast with Kiro Bhai because,

5:30

see,

5:31

our podcast name is Masters in One.

5:34

>> Okay.

5:34

>> Okay. So, what I feel that in stock

5:37

market, there are 100 types of ways to

5:39

make money.

5:40

>> Okay.

5:41

>> But you have to master in one and you

5:43

have to deep dive in that method and

5:45

then you can make money in that method.

5:47

It's It's totally okay. You do option

5:50

selling, you do

5:52

intraday, you do you do scalping, or you

5:54

do swing trading, or you do investment,

5:56

anything. But you have to master in one.

5:59

>> Correct.

5:59

>> So that is why we started this podcast

6:02

>> Okay.

6:02

>> My My method is only one method which I

6:05

follow multi-year time frame breakout.

6:07

But there are many other trader and

6:09

investor, they have their own method. So

6:11

I tried to, you know, bring them here.

6:14

And I tried to show their method and

6:16

their mindset to other people also who

6:19

are trading in stock market. So this was

6:21

the logic of starting this master's in

6:23

one podcast. So that is the one thing.

6:26

Now,

6:33

but

6:36

not

6:41

>> Exactly. I do not know Hindi. So but

6:43

I'll try to keep it very simple

6:44

>> Right.

6:45

>> so that anyone who listens to this

6:46

podcast, they can replicate what we are

6:48

trying to showcase.

6:49

>> Correct.

6:52

It's based on rule and logic.

7:00

So I will tell you everyone okay up is

7:03

called language today build some some

7:04

dough. Okay. So yes,

7:07

first I want to understand your journey.

7:09

>> Okay.

7:09

>> Right. Because before that tweet

7:14

Correct. Or

7:21

>> Okay.

7:25

Sure. Sure. See that the it is good that

7:27

you have brought that topic of whatever

7:30

the no tweet that you have seen me

7:32

>> Yes.

7:32

>> where me buying the house. Because I

7:35

started trading in the year 2008.

7:37

>> Okay.

7:38

>> And I always wanted to buy a own flat of

7:42

me

7:43

completely through the income from

7:45

trading. So, it took me a long years of

7:47

journey where just like every single

7:49

trader will goes through ups and downs.

7:51

Okay, I bought that flat just last year.

7:53

So, it took me almost 16 years to get to

7:57

that phase. So, that was the first time

7:59

when you know, in one year I was almost

8:01

making 1.5 crores of income completely

8:03

from trading. So, I thought, "Okay,

8:06

should I need to know pull out some

8:08

portion of that capital and buy

8:10

something or should I keep compounding

8:12

it?" When you keep compounding it, it is

8:15

just a number in your account. The

8:16

moment you take your profits out and do

8:18

something that gives you the emotional

8:20

value, which no one can replicate.

8:22

Correct. So, as you rightly said, the

8:24

moment when my parents saw the house

8:26

which I bought

8:28

that is like

8:29

you cannot equivalent equate it to any

8:31

kind of income that you make, right?

8:33

That is a pure emotional moment. So, I

8:34

am very glad that I've taken the

8:36

decision of buying the home from my

8:37

trading income. So, the overall journey,

8:40

even though I started in the year 2008,

8:42

I became a systematic trader only from

8:45

the year 2014

8:47

after I read a book called How I Made $2

8:50

million by Nicholas Darvas.

8:52

>> Oh. So, since 2014 you are doing

8:55

automated system

8:56

>> Correct. So, 2014 is when I started

8:58

getting into algo trading. So, you know,

9:00

back then there was no broker providing

9:02

API. None of them were giving these kind

9:05

of automated tools. It was totally you

9:07

know, new and very very minimal people

9:09

were doing algo trading back then. So,

9:11

there is one company called Symphony

9:13

FinTech. So, they were the one who were

9:15

providing algo trading solutions back

9:17

then.

9:18

And when you have to do algo trading

9:20

during those period, the kind of money

9:23

that you have to spend just to set up an

9:25

automated system itself was so high.

9:27

Like I ended up spending 1.5 lakhs just

9:30

to set it up.

9:32

>> Like that time.

9:32

>> That time because you need to buy

9:34

AmiBroker. They charge you around 30,000

9:36

per year and again, every month you need

9:38

to buy data. Now you are getting data

9:41

free from broker. Earlier, they will be

9:43

charging 2,500 for that. And then, I do

9:46

not know coding. So, I have to rely on a

9:48

freelancer where I have to give them the

9:50

rules. He will write an AmiBroker code.

9:53

So, I don't know, back then AmiBroker

9:54

was very famous. So, AmiBroker has its

9:57

own programming language called

9:59

AmiBroker Formula Language, AFL. So,

10:02

he'll be writing the AFL codes. And

10:04

then, by the time we automated it, yeah,

10:06

I ended up spending almost 2 lakhs. And

10:08

I remember saving that AFL name as

10:11

life-changing indicator {dot} no

10:13

Kirubakaran, whatever my name. Because I

10:16

have added all the indicators into it, I

10:18

thought that is the holy grail. But, no,

10:20

it eventually did not work. But, that

10:22

was a learning phase.

10:23

>> Mhm.

10:24

>> So, that is how it started. And then,

10:25

eventually, I know, I started learning

10:28

more about systematic trading, being

10:30

more about process-oriented. What you

10:33

rightly said, like masters in one, which

10:35

means that you take one specific path

10:39

and become master in it and keep

10:40

following

10:41

diligently. Eventually, that is going to

10:43

work for you. So, over the years, you

10:46

would have gone through multiple guest.

10:48

Everyone would have discussed you

10:49

multiple setups. But, just because

10:53

someone said interesting, you did not

10:55

stop what you were doing and jumped into

10:57

the other one.

10:58

>> Correct.

10:58

>> What you were doing, you were continuing

10:59

to do till date. Even now, when I came,

11:01

you were showing your setup, right?

11:03

Because that is your hardcore logic

11:04

setup. Which you believe in it. So, that

11:07

is what exactly every single trader has

11:09

to follow. You pick the one which is

11:11

suitable for you and stick to it longer

11:13

period of time. So, that is exactly what

11:15

I also did.

11:16

>> So,

11:17

like since 2008, you are in market, and

11:20

since 2014, you started,

11:22

you know, trying automated trading,

11:24

systematic way, process way. So, at the

11:28

time of start, what the difficult things

11:30

you are getting it? Like,

11:32

you told this thing only that you

11:34

started

11:35

depending on the that the coder

11:38

then and till when when you started your

11:41

proper systematic trading what year?

11:44

>> So what it will happen almost again some

11:46

additional four years because in 2014

11:48

you're getting into algo trading you're

11:50

new over the period you will make a lot

11:52

of mistakes with respect to systematic

11:54

trading. So again it took me additional

11:56

four years in order to know correct all

11:59

my mistakes and then only I start

12:01

totally jumped into a proper systematic

12:03

way because I'll tell you one example.

12:06

That was the last slide I kept but I

12:09

think that is the first thing I should

12:11

not talk to you about because it is all

12:13

about

12:14

when I started trading or when anyone

12:16

starts trading

12:17

if

12:18

trading strategy is the only thing that

12:20

you need to know everybody will become a

12:23

profitable trader. Correct. You have so

12:25

many YouTube videos you have so many

12:27

books but still why out of 100 people 90

12:31

people are still losing money why 10

12:33

people are still making money.

12:35

In order to figure that out it took me

12:37

so many years.

12:40

Fortunately I read one article which is

12:42

not related to trading it is related to

12:45

neuro science.

12:46

The moment I read that article

12:48

everything came into picture I'll tell

12:51

you what it is.

12:51

>> Yes.

12:53

>> You are very wearing the watch right?

12:55

>> Right.

12:55

>> You remove the watch.

12:56

>> Okay.

12:57

>> Okay. And you remove it from your left

13:00

to wear it in your right.

13:02

>> Okay.

13:02

>> Okay if someone else is watching this

13:03

video who's wearing it in their right

13:05

just you know change it and watch it in

13:07

the other side okay.

13:10

Until that point I always thought

13:13

what in order to make money in markets

13:15

is all about strategy strategy strategy

13:19

but the moment I start you know

13:20

completely finish that article it is

13:22

beyond strategy something else is there

13:25

what do call it that is neuroplasticity?

13:27

So, what neuroplasticity is

13:30

until now when I asked you which side

13:33

watch you're wearing, you're wearing on

13:34

left side. Now you started wearing it on

13:36

right side and it is just 20 seconds.

13:39

Now you started feeling uncomfortable

13:41

like you are not really comfortable with

13:43

the right side. You will not even know

13:45

know the weight of the watch. You don't

13:46

even remember that you're wearing the

13:48

watch. Now you could feel this because

13:51

for long many years you are so used to

13:54

one habit.

13:55

>> Right.

13:55

>> When you are so used to one habit, brain

13:57

forms a neuroplasticity. There is a

13:59

certain habit.

14:01

>> So, this was my body part like

14:02

>> Exactly. So, when someone is doing

14:05

repeatedly the same thing for a long

14:07

period of time there will be a

14:09

neuroplasticity that will be formed in

14:10

your you know brain. When you try to

14:12

break that it will give you

14:14

uncomfortable signal just like how it is

14:16

giving you now.

14:18

It that is why it is very hard to break

14:20

a good habit, very hard to break a bad

14:22

habit because the neuroplasticity is

14:24

formed.

14:26

In trading

14:27

when you see any person who is coming

14:29

into trading, he will learn one

14:31

strategy.

14:32

Now he'll apply it for some day. After

14:34

three or four back-to-back losses, he

14:37

will think this is stopped working.

14:38

He'll move to some other strategy.

14:40

So, he's not giving enough room for the

14:43

strategy to work. So, when he jumps from

14:46

one strategy to the other strategy, the

14:48

neuroplasticity is not formed in your

14:50

brain. So, that is why in trading many

14:54

people keep jumping from one strategy to

14:56

the other strategy because they tend to

14:58

think that strategy is the core logic.

15:00

No, that is a secret that everyone has

15:02

it.

15:03

But the moment in you know anyways we

15:05

are going to explain one strategy in

15:07

this particular video, right?

15:09

End of this video whether this strategy

15:12

or whatever the strategy people follow

15:14

if they pick one strategy like they have

15:16

to decide this is the strategy I'm

15:18

picking for next 100 days I'm going to

15:21

follow the rules of the strategy.

15:23

It does not matter whether the it is

15:25

giving you profit or loss on a trade to

15:27

trade you know trade to trade basis.

15:29

Just if it gives buy, I buy. If it gives

15:31

sell, I have to sell. I have to just

15:33

focus on the process.

15:35

So 100 days when you do it,

15:37

automatically the brain will form the

15:38

neuroplasticity.

15:40

101st day

15:42

you take the trade as per the rule.

15:44

But now you try to break your own rule.

15:47

Try to cut the stop loss. Try to put the

15:49

target. Get modify your stop loss and

15:52

take a break. Go for a tea.

15:54

Before even you complete your tea, your

15:56

brain will start giving you the same

15:58

uncomfortable signal.

15:59

It will tell you you have you know

16:00

formed a neuroplasticity. Now you have

16:02

breaking your habit. Go back and get

16:05

back to your old habit. So what it will

16:07

say is you will be completely

16:09

uncomfortable because you have changed

16:10

the rules, modified the stop loss,

16:12

modified the target. So now your mind is

16:15

totally shifted from outcome to process.

16:18

You're not bothered about whether it is

16:20

going to give you a profit or not. But

16:22

you are more bothered because the brain

16:23

has started giving you uncomfortable

16:25

signal since you have broken the habit.

16:27

So now you will go and you know follow

16:28

the rules. You will change the stop loss

16:30

back to its original point. That is what

16:33

is segregating the profitable trader

16:35

from the you know losing traders. Once

16:37

you give enough time for the strategy to

16:39

form the neuroplasticity, no matter

16:41

what, you can't break it. Like you have

16:43

seen right so many examples. The moment

16:46

the stock stocks give you 2x or 3x, even

16:49

though you're tempted to you know close

16:50

it, the moment you have been doing it

16:52

for a longer period of time, you will

16:54

not bothered about that one trade

16:55

outcome. Over the period you know this

16:57

is going to work in your favor. So you

16:59

will start following it.

17:00

>> Correct.

17:01

>> So that is what is the most important

17:03

part like in the most important you know

17:05

lesson that every single trader has to

17:07

you know take it up.

17:09

>> So the lesson is that you have to follow

17:11

the process and at least you have to

17:13

follow the process for the longer period

17:15

of time. Right. So then you will

17:17

understand that how these things works

17:19

or not. Right. So, this

17:21

this thing also I have understood Kiru

17:24

because I am trading since 2000 you can

17:27

say 2013 2014. Right. I started my

17:30

career in 2009, but I started trading in

17:33

2013 2014. So, previously also I used to

17:36

do this thing only. Sometime I do

17:38

intraday, sometime I do BTST STBT,

17:41

sometime I do swing trading, sometime I

17:44

become investor.

17:45

>> Right.

17:45

>> So, actually you know what? I was doing

17:47

many things. I was very busy with all

17:49

this thing, but I was not making any

17:51

profit.

17:52

>> Correct.

17:52

>> Because I don't know actually what I

17:54

want to do.

17:55

>> Correct.

17:55

>> And I don't know what I have to follow.

17:58

So, then after certain year I understood

18:00

about multi-year breakout, then I

18:02

started practicing about that thing, and

18:04

then I realized that this one simple

18:06

thing is giving beautiful return, then

18:09

why should I follow other things?

18:11

>> Exactly.

18:11

>> And then after that day I started

18:13

practicing only this method only, but I

18:16

was not knowing that what I am doing

18:18

actually that neuroplasticity wala

18:21

thing. So,

18:22

So, Kiru bhai, I know you because you I

18:25

know that thing that you do mostly

18:27

option trading, option selling. And I

18:30

don't know that you do investment also

18:32

or not, but I know this thing

18:39

>> Right.

18:39

>> And you are very process driven.

18:45

Okay, I have tasted the tested this

18:47

strategy. This is giving this much

18:49

result. Recently you posted one tweet

18:51

about mutual fund something you are

18:53

talking about the schemes. Right. So,

18:57

Aap aaj hame ek aisa aapka method batao

19:00

which you are following also.

19:05

Uska rule kya hai? Logic kya hai?

19:07

>> Sure.

19:07

>> And why you are following this strategy?

19:10

And if you have the back test result

19:12

then also you can show that to us.

19:14

>> Done. Done. See, I'll I'll start with

19:16

explaining the core of any strategy that

19:19

you follow. There should be certain core

19:20

principles behind it. So, when you trade

19:23

with equity

19:24

>> Mhm.

19:24

>> as long as you know you were saying

19:26

right as long as the market is in bull

19:27

run you will make.

19:29

>> Correct.

19:29

>> But if the market is in bear run we

19:31

can't make returns because all the

19:32

stocks will obviously go down.

19:34

>> Mhm.

19:35

>> So, what I have combined in this

19:36

strategy is two methods. One is a turtle

19:39

trading method and the other one is dual

19:41

momentum. I have clubbed it together to

19:43

create this strategy.

19:45

Turtle method is created by Richard

19:47

Dennis in 1974.

19:49

>> Okay.

19:49

>> So, during that period Richard Dennis

19:52

was the first person who popularized

19:54

systematic trading among the crowd.

19:56

>> Okay.

19:56

>> So, there was this beautiful incident.

19:58

What happened was

19:59

Richard Dennis was so confident that

20:02

anyone anyone can become a successful

20:05

trader if they follow a simple

20:07

rule-based approach.

20:09

So, he tried this experiment by hiring

20:12

some 14 different traders

20:14

who do not have any background

20:16

experience in Wall Street, any

20:18

experience in trading. He taught them

20:20

the basics of trading and gave them a

20:22

rules to all the 14 people. So, when all

20:25

the 14 people were given the same rules

20:27

they just have to follow it strictly,

20:29

right? So, that is what they did.

20:30

And by following a systematic rules all

20:33

these 14 traders eventually made close

20:35

to 175 million dollars back in 1974

20:38

itself.

20:39

So, that has become sensation among the

20:41

world like okay, so anybody can become a

20:44

profitable trader if they have a

20:46

positive edge.

20:47

So, that was there in my mind. And next

20:50

there was a book I read by Gary

20:53

Antonacci. The book name is the dual

20:54

momentum.

20:56

Where he combined gold and equity

20:58

together. Okay. So, when you trade it

21:00

together based on the market moments

21:02

like when the market is in bullish phase

21:04

it will invest in Nifty. If the market

21:06

is in bearish phase it will invest in

21:08

gold. That was his concept. So I combine

21:11

this turtle method along with the this

21:14

momentum dual momentum method to create

21:16

a strategy where you can implement this

21:19

in Nifty bees or gold bees.

21:22

Two things, either you can implement

21:23

this as a standalone strategy

21:25

or many option sellers what they do is

21:28

they buy a liquid case debt funds or you

21:31

know Nifty bees or gold bees pledge that

21:33

and trade.

21:34

When you directly buy Nifty bees it can

21:37

give you 12% on an average but the

21:39

drawdown is very high right right it can

21:42

go down 6 59 60% like in 2008 60% it

21:45

went.

21:46

>> Even in COVID also?

21:46

>> COVID it went 33%. So when your you know

21:50

asset which you have pledged if it goes

21:52

down then your position sizing will also

21:53

get affected.

21:54

>> Correct.

21:55

>> So I want to have same kind of Nifty

21:57

returns but I do not want that kind of

21:59

high drawdown. So they can also apply

22:01

this strategy.

22:02

>> [clears throat]

22:02

>> So the underlying is two things. One is

22:05

Nifty bees and the other one is gold

22:07

bees. So what I'll do is first I'll just

22:10

you know show you the chart.

22:12

>> [clears throat]

22:13

>> See this is the Nifty bees chart.

22:15

>> Correct.

22:16

>> Okay and this is the gold bees chart.

22:19

>> Correct.

22:20

>> What I have done is I have created a

22:22

ratio like this

22:24

where you divide Nifty bees by gold

22:27

bees.

22:28

>> Okay.

22:28

>> That will plot a chart like this. You

22:31

are seeing the chart right?

22:32

5 it oscillates up and down.

22:35

>> So if you see this 2008 period

22:38

>> Mhm.

22:38

>> this ratio is down.

22:40

>> Correct.

22:41

>> During 2007 the ratio is up.

22:44

So whenever this ratio is in uptrend I

22:47

will buy Nifty bees.

22:48

Whenever this ratio is in downtrend I

22:51

will buy gold bees.

22:52

>> Okay. Because you are dividing by Nifty

22:54

bees that's why.

22:55

>> bees. So whenever the ratio is higher

22:58

I'm going to buy gold I mean Nifty.

23:00

Whenever the ratio is in downtrend I'm

23:02

going to buy gold. Like in 2025, if you

23:04

see

23:05

from 2024 till 2026, I would have bought

23:08

gold, not Nifty. Okay. So, I would be

23:11

sitting in a very good profit. So, by

23:13

doing this, you will actually trying to

23:16

uh buy that market which you will move.

23:19

Exactly. So, whichever is in trending,

23:21

I'm not predicting whether it is going

23:22

to be bullish or bearish. I'm just going

23:25

to find whichever the instrument is

23:27

trending.

23:27

>> So, but how do I find this trending?

23:29

>> That is the next question.

23:30

>> Right. I was coming to that question.

23:32

>> Because it is simple chart. Anybody will

23:34

know what you say uptrend, I can say

23:35

downtrend.

23:36

>> Uh because if I follow normal Dow Dow

23:38

theory, then also

23:39

>> Correct. So, my rules is simple. So,

23:42

what I've done is you create this ratio,

23:45

and then you apply the turtle trading

23:48

system into the ratio. The turtle

23:50

trading system says

23:52

check what is the last 20 days highest

23:55

high price, like highest price.

23:56

>> Okay.

23:57

>> And check what is the last 20 days

23:59

lowest price.

24:00

>> Okay.

24:00

>> If the last 20 days highest price is

24:02

crossed,

24:03

>> Mhm.

24:03

>> we go long.

24:04

>> Mhm.

24:04

>> If the last 20 days 20 days lowest price

24:07

is crossed on the downside, we go short.

24:10

This is the turtle trading system rule.

24:12

>> Okay.

24:12

>> Instead of applying that rule on either

24:14

Nifty Bees or Gold Bees, we are directly

24:16

applying it on the strategy itself.

24:18

>> Correct. In the ratio chart. In the

24:21

ratio chart.

24:21

>> So, this is the ratio. So, in this

24:23

ratio, when I apply the rules,

24:25

>> Okay.

24:25

>> so automatically, it is going to giving

24:27

me the signal. Like the green one is the

24:30

highest high price.

24:31

>> average.

24:32

>> Correct. And the red one is the lowest

24:34

price.

24:35

>> This is basically a 20-day simple moving

24:37

average.

24:38

>> days, not moving average. Donchian

24:40

channel.

24:40

>> Donchian channel.

24:41

>> Exactly. So, when I apply this Donchian

24:43

channel here, I can clearly see when it

24:47

is breaking out, when it is you know

24:48

breaking down.

24:51

>> So, what is the setting which we have

24:53

to, you know, do in the Donchian

24:55

channel? anything.

24:55

>> simple. 20 days 20 days. That's all. 20

24:58

days.

24:58

>> Nothing else.

24:59

>> So, when the 20 days we we are

25:01

since the ratio is on close to close

25:03

basis.

25:04

>> Yeah, like [clears throat] on the

25:04

>> We use only the last 20 days, the close

25:07

price. It's not the high or low. It is

25:09

just the close price.

25:10

>> Okay.

25:10

>> So, now it is very clear. Whenever the

25:13

signal gives me a buy, I will go and buy

25:16

the gold bees. I mean, sorry, Nifty

25:18

bees.

25:18

>> Nifty bees.

25:19

>> And whenever the signal gives me a sell,

25:21

I will exit the Nifty bees and buy gold

25:24

bees.

25:24

>> Okay.

25:25

>> So, simple. I have to keep oscillating

25:27

between Nifty and gold.

25:29

>> And this you will follow on a week time

25:32

frame on a daily

25:32

>> Daily time frame. Daily time

25:33

>> The ratio chart is on a daily time

25:35

frame.

25:35

>> frame. So, you just divide the ratio

25:37

like as I said, Nifty bees by gold bees.

25:40

Track what is the last 20 days you know,

25:42

highest high price or 20 days lowest low

25:44

price.

25:44

>> Okay.

25:45

>> Whenever the signal comes, buy Nifty

25:47

bees.

25:48

>> Mhm.

25:48

>> Whenever sell signal comes, exit the

25:50

Nifty bees, buy gold bees.

25:51

>> Okay.

25:52

>> That is the core logic behind it.

25:54

So, once I do this,

25:56

automatically this is helping me in two

25:58

things. One is Nifty and gold is having

26:00

a negative correlation.

26:02

>> Right.

26:02

>> Because the both asset classes are

26:04

different.

26:04

>> Uh.

26:05

>> So, earlier if I'm trading this only in

26:07

stocks, obviously if the market is going

26:09

down, I'll be in sitting in a negative

26:11

returns or no returns zone for a longer

26:13

period of time. But having this

26:15

uncorrelated thing, when one is giving

26:17

me a bullish signal, the other will give

26:18

me a negative signal. So, obviously

26:20

during the down period, the gold is

26:22

going to help me.

26:22

>> Okay.

26:23

>> And second most important part currently

26:27

is the charges.

26:28

See, with the with respect to this kind

26:30

of setup, the number of trades is very

26:32

very minimal. Like you know, you've been

26:34

trading for a longer period of time.

26:36

Like the you know, if we have seen in

26:38

December 2025, it is asking me to buy a

26:41

gold. Sell signal.

26:42

>> Okay.

26:43

>> And now it is asking me to buy Nifty

26:45

bees.

26:45

>> Nifty bees.

26:46

>> So, almost for seven or eight months,

26:47

only one trade. So, charges is very

26:50

minimal.

26:50

>> Right.

26:51

>> And also,

26:52

when you calculate the STT

26:55

for stocks versus ETF,

26:58

>> Mhm.

26:58

>> your charges on STT is significantly

27:01

lower. I've given this example, you

27:03

consider this.

27:04

>> Okay.

27:05

>> We have no buying some stocks. I don't

27:08

even remember what is the stocks cross.

27:10

>> lesser than half.

27:11

>> It is much much much lesser. If you see

27:13

the charges, it is 60 rupees. Here it is

27:15

just 20 rupees.

27:16

>> Mhm.

27:16

>> So, 1/3 of the charges because with STT

27:21

for Gold Bees, there is no STT.

27:23

>> That is also advantage.

27:25

>> Yeah, and for Nifty Bees, the STT is

27:27

0.001%.

27:29

>> Mhm.

27:29

>> Whereas with the stocks, it is 0.1%.

27:32

>> Mhm.

27:33

>> So, huge difference where the

27:34

significantly when you're trading with

27:36

the higher capital, your STT goes down

27:38

drastically because you're trading with

27:40

the Nifty Bees and Gold Bees.

27:42

>> Okay.

27:42

>> So, charges itself has gone down

27:44

drastically. Now, coming to the drawdown

27:46

part.

27:47

So, Nifty Bees, you know, in 2008, if

27:50

I'm doing buy and hold Nifty Bees during

27:53

the global financial crisis, it has gone

27:55

down 60%.

27:55

>> Correct.

27:56

>> But this rotational strategy has given

27:58

me only 24.95, almost 25% only drawdown.

28:02

>> Right. That is also positive.

28:03

>> Yeah, and all the you know, the one our

28:05

as per our you know, trading mentality,

28:08

>> Mhm.

28:09

>> we always aim for higher risk. But that

28:13

is not the right approach. The

28:14

professional traders will always aim for

28:16

lower drawdowns.

28:18

Because there is a statistical study

28:20

done by University of France where

28:24

consider you have made 1 lakh today.

28:26

>> Mhm.

28:26

>> Okay. Tomorrow, you have lost 1 lakh.

28:29

>> Mhm.

28:29

>> You are in a no profit, no loss.

28:31

Correct? You are in zero. Like you never

28:33

lost your capital. Today, you made 1

28:35

lakh. Tomorrow, you lost 1 lakh.

28:36

>> Correct.

28:37

>> But when they studied the brain pattern

28:40

of the same trader when he is making

28:42

profit versus when he is losing money,

28:46

the pleasure of making money versus the

28:49

pain of losing money. The pain of losing

28:52

money is two times higher than the

28:54

pleasure of making money. So, even

28:57

though I made one lakh today and lost

28:59

one lakh tomorrow, I would be extremely

29:01

sad even though I did not lose from my

29:04

capital because that is the emotional

29:05

drain that you will have. So, one day

29:08

studied it among a lot of traders, they

29:09

understood that

29:11

the guy who is performing really well on

29:13

the markets for the longer time are the

29:15

best risk management people. So, they

29:17

will control the risk to a greater

29:19

extent. They will always prioritize

29:22

reducing the risk. So, that the pain of

29:24

losing money will be very, very less.

29:26

So, that over the period you will not

29:28

feel you know, very stressful or very,

29:32

very emotional about the market.

29:33

>> And that gives you confidence also

29:35

because there is one [snorts] loss which

29:37

I always talk in my video, that is

29:39

emotional loss. Right. So, if you will

29:42

loss continuously that emotion part, so,

29:44

your confidence will come down. Exactly.

29:47

And if you are getting a very good

29:48

opportunity also now, then also you will

29:50

think that no, I don't want to trade.

29:52

Maybe this will also hit my stop loss.

29:54

Exactly.

29:55

Because now, they always say, right?

29:57

There is no risk-free trading in

29:59

trading. But, there is stress-free

30:01

trading. You have to pick how do you

30:03

define your rules accordingly so that it

30:05

doesn't give you any stress.

30:06

>> No, that is actually a very good thing.

30:08

Almost half drawdown we are avoiding.

30:10

>> Exactly. Like, the pain point is gone

30:12

down and if you see in the major crisis

30:14

like 2008 and 2009, this rotational

30:17

strategy has significantly outperformed

30:19

both Nifty bees and gold bees.

30:20

>> So, this is also outperformance. Now,

30:22

you are not you are not going down uh

30:25

>> on the drawdown part, but on the returns

30:27

part also you are you know, really doing

30:28

well. Even on the COVID time also, the

30:30

rotational system has given you good

30:32

returns.

30:32

>> Oh.

30:33

>> So, even during this period, the gold

30:35

you know, rally period,

30:36

>> Right.

30:36

>> Nifty did not give you good returns.

30:38

But, combining both

30:39

>> Yeah.

30:40

>> with this rotational part, you would be

30:41

betting on the trend.

30:43

>> Yeah, so recently I was talking to one

30:45

investor

30:46

I think one week back only. He is from

30:48

also Chennai. So I was like that sir, I

30:50

have not made that much money last

30:52

financial year. I am feeling not good

30:55

not feeling good this last financial

30:57

year for. So he was like that Vijay, why

30:59

you have not invested in gold and

31:01

silver? So then also I understood are

31:03

you I was

31:05

I was having that option also. I did not

31:07

invest that is my mistake.

31:10

People are made money there also. So

31:13

ultimate aim is to make money.

31:15

It's not like that you buy gold or

31:17

silver or you make money via stock.

31:19

Right. So that time I understood that

31:21

this one simple thing I did not

31:23

understand.

31:24

>> Because you know as you rightly said,

31:26

you see people are buying gold. Why

31:28

people are buying gold? Is it because

31:30

they understood the economic concept

31:31

behind it? No, because it is trending.

31:34

It is moving up. They could literally

31:36

see Nifty is going down but gold is

31:37

moving up. Let me now reshuffle the

31:39

investment

31:40

and also people who are having a larger

31:42

capital, pension funds and all these

31:44

funds, whenever there is an uncertainty

31:46

in the market, specifically when Trump

31:48

like people you know when there were

31:49

there is negative news that comes out,

31:51

obviously people wanted to move a safer

31:53

you know asset class. So gold acts like

31:55

that safer asset.

31:56

>> And and there is one one interesting

31:58

thing is this in this data. Normally we

32:01

have not seen the crash like 2008 and

32:05

2009 till now in the Indian market.

32:09

If you see the chart on a monthly time

32:11

frame of the Nifty, so you will

32:13

understand the most painful year was

32:15

2008 and 2011.

32:18

There were no return in that

32:20

for five years.

32:21

After that we have not seen that type of

32:25

bear market in our history only.

32:27

So always we had came down by 30, 40,

32:30

15% and in two years again we break the

32:34

high and we Uh, a rally. So this is that

32:37

important thing is that in that bad year

32:40

also you are you're going down only 16%.

32:43

>> Correct. Correct. Correct. And also know

32:45

like in 2008 and 9, you consider the

32:47

both the years together, it is almost

32:49

made 75% return.

32:50

>> Yes.

32:51

>> So, even if you take the overall CAGR.

32:53

>> Okay.

32:54

>> If I started 1 lakh at the you know year

32:57

of 2008, I would be currently sitting

32:59

with a portfolio value of 20 lakhs.

33:01

>> Oh.

33:01

>> And with the CAGR of 18%.

33:03

>> Uh, where we can make it 12% or 11% in

33:06

Nifty.

33:06

>> Correct. And with you know 11% or 12% in

33:09

Nifty comes with 60% drawdown. Here you

33:12

are making 18% CAGR with just 25%

33:14

drawdown. And you have a very good

33:16

profit factor and more know you are

33:18

easily able to beat both Nifty bees as

33:21

well as gold bees buy and sell buy and

33:23

hold.

33:23

>> this is very good return. I think 18%

33:26

you are making via this strategy only.

33:29

And then you can do option selling also

33:31

and then

33:31

>> Exactly. That is the best part because

33:33

as an option seller, see my returns

33:35

expectation is this know this there is

33:37

this rule of 72.

33:38

>> Okay.

33:39

>> So, rule of 72 states that 72 divide by

33:42

the expected rate of returns will tell

33:44

you how many years it is going to take

33:46

for you to double your capital.

33:47

>> Okay, right.

33:48

>> If I'm making only 10%.

33:50

>> Uh.

33:50

>> Then as per rule of 72, it is going to

33:52

take me 7.2 years just to double my

33:55

capital.

33:56

>> Correct.

33:56

>> My returns expectation is to make 30%.

33:59

>> And already almost 20%

34:01

>> Yeah, 18% comes from 4 year you will

34:04

make your double. Exactly. So, every

34:06

every 2.4 years, I can double my capital

34:09

if I make just 30%.

34:11

>> Okay.

34:11

>> 18% comes passively through the

34:13

strategy. Rest 12% I have to make from

34:16

option selling. You have eight expiry

34:18

per month.

34:18

>> Only 12% you have done.

34:20

>> Yeah. So, monthly only 12%.

34:22

>> are making 7 8% monthly.

34:24

>> You because here my expectation is set.

34:27

30% I make, I double my capital 2.5

34:29

years. As I said earlier, I'm not

34:31

chasing the returns. I am want lower

34:33

volatility, lower drawdown. So passively

34:36

the pledged equities, the gold bees and

34:38

nifty bees, if you buy and pledge it,

34:40

90% margin you're going to get, only 10%

34:43

haircut. And it is going to give you

34:44

18%. And rest 12% if I make per year and

34:49

my returns expectation is met, right?

34:51

>> Okay.

34:51

>> So it comes with when you know when you

34:53

manage it with nifty bees or gold bees,

34:55

if you compare

34:57

the overall CAGR is very minimal if you

34:59

start the peak of 2018. And gold bees

35:02

also the drawdown is significantly

35:03

higher.

35:04

>> Mhm.

35:05

>> But instead of putting it 50% 50% by you

35:08

know making it like this rotational

35:09

strategy, that is hitting your expected

35:12

rate of returns with a lower volatility

35:14

and it suits your

35:16

like most people

35:18

end of the day everybody wants to make

35:19

returns.

35:20

>> Right.

35:20

>> It doesn't matter if I sit every day

35:22

from 9:00 to 3:00 and end of the year I

35:24

make 30% versus I still do the same you

35:28

know once six months or once or three

35:30

months of kind of a trade returns. And

35:32

if I'm still making you know hitting

35:33

that returns part, then it doesn't

35:35

matter, right?

35:36

>> Correct.

35:37

>> I'll compare that with this you know

35:40

I'll show you this chart. So this is the

35:42

year wise chart.

35:43

>> Mhm.

35:44

>> So this is a rotational strategy year

35:45

wise returns.

35:46

>> This is which platform?

35:48

>> This is I back tested it using AI.

35:50

>> Okay.

35:51

>> So that has given me this report where

35:53

all I have to do is I just have to

35:55

download this data like I download this

35:57

data here.

35:58

>> So you you use AI also in your trading.

36:01

>> Yeah, I use you know the

36:02

>> So nowadays people are saying that AI

36:04

will take your job. You had you had you

36:06

are doing job with AI.

36:07

>> Because AI it is for a guy like me who

36:10

doesn't know coding. I always say there

36:12

are good traders, there are good coders,

36:15

but there are very few good traders who

36:17

know also coding. But for person like me

36:20

who have the market knowledge, but do

36:21

not have any coding knowledge, if I have

36:23

a idea, how do I test it? I do not know

36:26

any coding. So that was a barrier 2

36:28

years ago, 3 years ago. Now, that

36:30

barrier is totally removed.

36:31

>> So, how have you used AI in your

36:33

trading?

36:34

>> So, many things. Say, for an example,

36:36

even with the respect to this Nifty Bees

36:38

thing. So, what I did is I just

36:39

downloaded the data. Okay, overall the

36:42

you know, daily data I've downloaded it.

36:43

>> And and from where we have to download

36:45

the data?

36:46

>> download from the TradingView. If you go

36:48

here,

36:48

>> Okay.

36:49

>> I just download the chart data

36:51

and download it. That's all. The data

36:53

gets downloaded.

36:54

>> So, this will give us what?

36:56

>> So, this will give me the historical

36:57

price data from see here, if you see

37:00

like you can select the period.

37:01

>> 2018.

37:03

>> You can select 2008 also. Whatever the

37:05

period that you mention.

37:06

>> is the EOD closing price of the Nifty

37:09

Bees.

37:09

>> Nifty Bees.

37:10

>> Right.

37:10

>> Similarly, you can download the same

37:11

price for Gold

37:12

>> Gold Bees.

37:13

>> So, I download both the data.

37:15

>> Okay.

37:15

>> And also, I'll download the ratio data.

37:17

Like you have the ratio here, right?

37:19

>> Oh, yes.

37:20

>> So, ratio I'll download it here.

37:25

>> And this feature is in It is in

37:27

TradingView. I don't I didn't I did not

37:29

know also.

37:30

>> Huh.

37:31

>> [laughter]

37:31

>> So, I downloaded three sets of data.

37:34

Nifty Bees, Gold Bees, the ratio. Okay?

37:36

>> Right.

37:37

>> Now, I can go to Claude and I can

37:39

specify like see, I've attached the

37:41

files.

37:42

You go through it and I I'll show you

37:44

what I've now chatted with it. Let me go

37:46

up.

37:47

>> So, your Claude is your assistant.

37:49

>> Completely, completely. I don't know

37:51

multiple things based on that.

37:54

>> [snorts]

37:54

>> Because you know, when you just give the

37:57

clear prompts, it would automatically

37:59

you know, calculate what is the rules

38:01

that you have specified and accordingly

38:03

it is going to give you a structured

38:04

returns.

38:05

>> Okay.

38:06

>> So, this is what I said. So, I have

38:07

uploaded the data and I told see, with

38:10

respect to Nifty Bees and Gold Bees,

38:12

>> So, we uploaded only how many files?

38:15

>> So, I have uploaded the files here. Like

38:17

you know, if you scroll up, you will

38:18

see.

38:20

Yeah, here. Gold Bees and Nifty Bees

38:21

here.

38:22

>> Okay. attached to the gold bees and

38:23

nifty bees. I did not even give the

38:25

ratio. I just asked it to know, create

38:28

the ratio by yourself. So, it will

38:31

divide the values of nifty bees by gold

38:33

bees based on the whatever the actual

38:35

data we have given and accordingly it

38:37

would calculate. So, that is how this is

38:39

calculated the overall returns. We have

38:41

seen that 20 lakhs the final portfolio

38:43

and overall what is the overall rotation

38:46

strategy CAGR? What is the signal? When

38:49

did it come? Overall equity benchmark,

38:51

the drawdown.

38:53

Everything it will create and then it

38:55

has given you this HTML file.

38:57

So, this is where you know that

38:59

AS developed. So, it would automatically

39:02

analyze like this. So, it will check the

39:04

files and it would check necessary you

39:06

know, it would write the Python code on

39:09

its own and then it would automatically

39:11

you know, back test it for yourself. It

39:13

will not even give you code. It will run

39:16

the code itself and then it will

39:17

generate the output file automatically.

39:20

So, that is what it did. It

39:21

automatically you know, did all the

39:22

calculations and everything and

39:24

accordingly it would generate this HTML

39:26

file which shows that okay, out of 19

39:29

years 15 years it is profitable.

39:31

Year on year this is the overall

39:33

strategy returns of the rotation

39:34

strategy.

39:36

So, every single time you start with 1

39:38

lakh and you ended up with 20 lakhs just

39:40

by compounding your returns every year.

39:43

If you track the last 4 years like if

39:45

you compare it with you know, nifty and

39:48

if you compare it with you know, overall

39:50

out performance. So, even if you put 50%

39:53

in nifty bees and 50% in gold bees and

39:55

continuously hold it also you will not

39:57

be able to beat it.

39:58

So, it has given you you know, a

40:00

significant returns like these black

40:02

bars are nothing but the strategies

40:04

returns.

40:05

And these blue bars are the 50-50 buy

40:07

and hold. So, consistently it is able to

40:09

beat the overall returns you know, year

40:12

on year basis and as long as you run it

40:14

you know, the compounding will work in

40:16

your favor.

40:17

So, that is the best part. So, with

40:19

respect to this strategy, you don't need

40:21

any fan fancy things or anything like

40:23

all you have to do is find the ratio,

40:26

apply the ratio, and check out whenever

40:28

it gives you buy or sell signal.

40:30

>> Okay.

40:30

>> It is much easier to track the trend

40:33

based on the ratio rather than applying

40:34

it on the individual basis.

40:36

>> Right. And this is logical also.

40:38

>> Exactly. Mathematical, quantifiable. I'm

40:40

not asking you to know look for any

40:42

visual chart pattern.

40:43

>> Right.

40:43

>> It is pure mathematical.

40:45

>> I'm not tracking any news actually.

40:47

>> No news, no economic factors. Works on a

40:50

no pure core fundamental principles. And

40:52

you are able to see whichever is

40:54

trending. And obviously whichever is

40:56

trending that is going to give you the

40:57

signal here.

40:58

>> After after looking this, I think many

41:00

will stop their SIP.

41:02

>> [laughter]

41:02

>> Because normally mutual fund SIP gives

41:04

you 15 to 18% return, 20% return per

41:08

annum on a CAGR base. But if you manage

41:11

your own capital with this way,

41:13

>> Right.

41:13

>> you know, you are beating almost mutual

41:15

fund.

41:15

>> Yeah, this is for lump sum it is good.

41:17

Like SIP is totally different. SIP

41:19

>> SIP is all different thing, but for the

41:21

mutual

41:23

suppose one person is investing in

41:24

mutual fund for the long-term thing,

41:28

the lump sum amount. So, this is this is

41:30

actually you are beating mutual fund.

41:32

Yeah, right.

41:33

>> And with the lesser drawdown also.

41:34

>> Right.

41:35

>> And that that is what. So, it works the

41:37

moment you give for a longer you know

41:39

duration. The compound works in your

41:40

favor. So, if you for an example, if you

41:41

see from 2008 to 2018, the returns was

41:46

almost flat. From 2018, 19, 20 onwards,

41:49

it has grown significantly up because we

41:51

started compounding, reinvesting all the

41:53

profits. So, it started growing

41:54

significantly.

41:55

So, every year like 2020, it has given

41:58

almost 46%. 21 again 26%. 23, 24%. So,

42:03

everything like consider an option

42:05

seller guy who has just bought this

42:08

based on the you know strategies. And he

42:10

pledges it and then trades. Like now

42:12

last year I could make 28% from the

42:14

strategy itself.

42:15

>> Uh

42:16

>> My expected returns is 30% yeah.

42:18

>> So it is much easier right?

42:20

>> Correct.

42:21

>> So on the long run it works beautifully

42:24

because of the core logic which we have

42:25

told. One is turtle system rules and the

42:28

other one is Gary Antonacci's you know

42:30

dual momentum rule.

42:31

>> Okay.

42:32

>> try to combine it in a different

42:33

mathematical way so that you know that

42:35

gives you a clear idea on what asset

42:37

class you should invest in.

42:39

>> Okay Kiruji, so this is very interesting

42:41

that you invest in Nifty and gold base

42:45

as per the method which you have built

42:47

the ratio chart. But then

42:51

what you trade in option for other 12%?

42:53

Obviously you have 12% to make

42:57

maybe you are making more than 12%. But

42:59

what other thing you do in options? Like

43:02

you have told me off the camera that you

43:04

do multiple thing using AI with the

43:07

option selling. But if you can share one

43:10

simple logic or one simple strategy that

43:12

also will be very helpful for everyone.

43:14

>> Yeah sure. See whatever things we have

43:16

done is for the passive income which you

43:19

do not need to spend so much of time in

43:21

order to follow the strategy which I

43:22

have shared.

43:23

>> Right.

43:23

>> For the options what we can do is first

43:26

instead of directly

43:28

>> [clears throat]

43:28

>> directly going to a stock market or algo

43:30

test and try to create a strategy out of

43:32

it.

43:33

>> Mhm.

43:33

>> First let's study the market behavior,

43:36

understand how a zero DTE movement will

43:38

work, how on expiry days market moves.

43:41

>> Okay.

43:42

>> So this screen is something which I have

43:44

built it for my internal research

43:45

purpose.

43:46

Where I can select any zero DTE days

43:49

like if I select go back this is a zero

43:52

DTE tracker.

43:52

>> Okay zero DTE means the the expiry days.

43:55

>> Yeah expiry days it shows what is the

43:58

straddle. Say for an example

44:00

>> And what is the meaning of straddles?

44:02

Because I don't know about options.

44:03

>> I'll explain. So straddle is nothing but

44:06

at the time of market opens.

44:08

>> Oh.

44:09

>> Say market opened at around 22,500.

44:12

>> Right.

44:13

>> So 22,500 call and 22,500 put both the

44:18

strikes premium you add it together that

44:20

is the straddle premium.

44:21

>> And I will sell both the both the call

44:23

and put.

44:23

>> Correct. So at 9:16 when I check at what

44:27

price it opened

44:28

>> Huh.

44:28

>> it is around 251 rupees.

44:31

>> Correct.

44:31

>> We have to ignore 9:15 because we can't

44:33

get the correct precise price.

44:35

>> Right.

44:35

>> So this is a 9:16 price. So by 9:16

44:38

you see add call option and put option

44:40

together and you are seeing the price is

44:42

approximately around 250.

44:44

>> Mhm.

44:44

>> And this red dot is where the price has

44:47

gone to the highest level.

44:48

>> This data we are checking that is

44:49

basically of 30th March 2026.

44:53

>> Correct.

44:53

>> Right.

44:53

>> Okay. And

44:55

the straddle opened at 250 and

44:57

eventually it went to high price of 314.

45:00

>> Okay.

45:00

>> And then started declining. It reached a

45:03

low price of 98 rupees.

45:05

And again it spiked up somehow but the

45:07

end point is where it opened and where

45:10

it closed.

45:10

>> Right.

45:11

>> Opened at 215 I mean 250 and closed at

45:14

around 200 some so 50 points of overall

45:17

profits you get 196. So approximately

45:20

around 50 points of profits you make.

45:22

>> Right.

45:22

>> So likewise if you keep observing every

45:25

single straddle chart on

45:28

when I click on previous it moved to

45:29

24th March 2026 the previous weekly

45:33

expiry.

45:34

So there again it opened at 230.

45:36

>> Mhm.

45:37

>> And then it closed around 69.

45:39

>> Right.

45:39

>> And the high was around just 17% only it

45:42

moved up.

45:43

>> Okay.

45:43

>> But eventually decayed.

45:44

>> Right.

45:44

>> So once you keep studying these market

45:47

behavior

45:48

>> Huh.

45:48

>> it is clearly evident that most of the

45:51

time

45:52

the straddle decays.

45:54

>> Okay.

45:54

>> So So this is the observation.

45:56

>> Yeah.

45:56

>> So the straddle decays but if I just

45:59

leave it open without any stop loss

46:01

obviously when the market trends, I

46:03

might lose money. Right. So, I have to

46:05

study

46:06

out of multiple these kind of scenarios,

46:09

how many times the straddle from the

46:12

time it is open moved up What is the

46:14

highest point it moved If it opens at

46:16

100, if it moves to 125 rupees, then 25%

46:20

is the maximum movement it has moved.

46:22

>> Uh.

46:23

>> So, likewise, if you keep observing

46:24

every single time, you will have an

46:26

answer like what is the maximum

46:27

percentage

46:28

>> percentage it went up.

46:29

>> Yeah.

46:30

>> So, for here, it if you see, it is 9%.

46:32

>> 9%.

46:33

>> So, if you keep scrolling, it it has

46:34

seen 98% also.

46:35

>> is 98%?

46:37

>> So, I cannot you know use a small

46:39

stoploss. So, there will be instances

46:41

where it moves 55%. There will be

46:43

instances where it moves only 7%. So,

46:45

there will be calm days, there will be

46:47

wild days. So, what you can create Now,

46:50

you can go to AlgoTest, or you can go to

46:52

StockMock, and try creating a strategy

46:55

based on this observation.

46:56

>> Mhm.

46:57

>> Create a short straddle at the market

46:59

opens at 9:16. Use a combined premium

47:02

stoploss. So, that when if you're

47:05

shorting at 100 rupees, both call option

47:07

and put option together, if it moves to

47:09

130, no, together, both C and P

47:13

together, if the premium moved to 130,

47:15

then I will exit both call and put.

47:18

>> So, that I don't want to take one no

47:20

risk. I'll just trade only once a day,

47:22

only on expiry day. So, this way, what

47:25

happens, most of the time when the

47:26

market did not move beyond 30%, the

47:28

straddle will be you will make Other

47:31

days, when it hits, you're losing very

47:33

little.

47:34

So, on 100 days, 70 days, it will work

47:37

in your favor. The rest of the 30 days,

47:39

it might hit the stoploss. When you're

47:40

losing the when the stoploss is hit,

47:42

you're losing a little, but other days,

47:45

that is going to make up for the overall

47:46

profits. So, this is one kind of a

47:48

simple example where you observe the

47:51

market behavior first. Like, for an

47:53

example, in this case, it did not even

47:55

spike. Like, it opened at 472,

47:57

and it closed at 444. So, almost 400

48:00

points of profit in just one day.

48:03

So, likewise, you once you observe it,

48:05

you will have a different idea.

48:06

>> And what what is the closing time of

48:08

this straddle?

48:09

>> You close at 3:20 in the evening. So,

48:11

open at 9:16, close at 3:20 one day.

48:14

>> again here you are you are protecting

48:16

the risk.

48:17

And you are allowing the profit.

48:19

>> Right. I am not trying to create option

48:20

buying strategy. I'm not trying to make

48:22

50 100% returns because my expectation

48:24

as I said is clear. Make 30%. 18% comes

48:28

passively. Remaining 12% is my

48:30

expectations. And in that case, just one

48:33

trade. So, we have eight expiries in a

48:35

month. So, even if even if this works

48:37

and gives you a 0.25% returns, that

48:40

itself is going to give you, you know,

48:41

2% returns in the end of the month. So,

48:43

your target will be hit. So, now when

48:45

you go and, you know, build model on

48:47

based of on top of this, then the

48:50

expected rate of returns can be

48:51

achieved.

48:52

>> Okay. And other than this this is just

48:55

one logic you had shared here.

48:58

Uh other than this, you invest in stocks

49:00

also?

49:01

>> Stocks I do only SIPs, but not in

49:04

stocks. I do only with respect to mutual

49:07

funds, and that too only on the index

49:09

funds. See, I after I read one article,

49:12

I stopped doing SIPs on the stocks.

49:15

>> Okay. What is that?

49:16

>> So, it is all about say it happened in

49:19

19 150 years before. Okay? Before even

49:23

the oil was found.

49:25

150 years before, people

49:28

what they used to do is

49:29

they will go for a whale hunting. So,

49:32

that is the major business. Why do

49:34

people go for a whale hunting is not for

49:36

the you know, meat of the fish.

49:39

They do this because from the whale,

49:41

they are able to extract a wax.

49:44

And using that wax, they can use it in

49:46

the industries to burn lamps, to you

49:48

know, light oils. So,

49:51

back then when kerosene oil was not

49:52

discovered, they were using the wax from

49:54

the whale to run the industries.

49:57

And everyone will go for this, you know,

50:00

whale hunting. So, people who were

50:02

having the ships who would go for the

50:04

whale hunting, the moment they capture

50:05

the whale, that's it, their complete

50:07

yearly profit is done. So, they were the

50:09

millionaires.

50:10

>> Oh, okay.

50:11

>> Back then. People who would go and hunt

50:12

the whales, they became millionaires.

50:14

People who were funding the, you know,

50:15

for the whale hunting, who were giving

50:16

the ships, they were also making

50:18

millionaires. So, one whole industry was

50:20

a millionaire industry.

50:21

>> Right.

50:22

>> After some 20 or 30 years, they

50:25

discovered oil.

50:26

The moment they discovered oil, people

50:28

stopped going for whale hunting. It is,

50:30

you know, no more uh it's no more

50:31

profitable

50:32

>> no profitable business, huh.

50:34

>> And everybody started really digging

50:35

oil, and then it's it became an industry

50:38

standard. And people who were

50:40

millionaires went bankrupt overnight

50:43

because nobody started, you know, using

50:45

the wax from the whale. Because it

50:47

doesn't make sense.

50:48

The disruption will happen like that.

50:50

So, an industry which is top most

50:52

industry, take Kodak. Kodak camera was

50:54

one of the best cameras in the world,

50:55

right? But they did not know were able

50:58

to move to the advanced one. Even there

51:00

is one guy from Kodak employee who

51:03

created the first digital camera. But

51:06

they did not accept that because Kodak

51:08

was relying on film rolls.

51:10

>> Mhm.

51:10

>> They said, "No, if we move to this

51:12

digital camera, our film roll business

51:14

will eventually lose money, so we can't

51:16

do this." But eventually what happened?

51:18

Some other company, you know, started

51:20

giving this digital camera, and

51:21

eventually eventually they went

51:23

bankrupt.

51:24

Same with Micromax. Same with Nokia. So,

51:26

the industry leader who was today might

51:28

not be the industry leader tomorrow, no

51:30

matter what.

51:31

>> Mhm.

51:31

>> So, when I do an SIP, I'm not doing for

51:33

5 years or 6 years. I'm doing it for my

51:36

next generation. I just wanted to know

51:37

because in our parents' generation, they

51:39

would have invested in land.

51:40

>> Correct.

51:41

>> In our generation, we have invested in

51:42

these kind of liquid assets. So, I want

51:44

to pass on the wealth to my kid. So, for

51:46

that I need to be really certain that

51:49

the investment value will not go down.

51:51

So, studying the industry histories has

51:54

told me that okay, whoever is a market

51:55

leader today might go bankrupt. So, I

51:58

might invest, but what if in case if the

52:00

company is not there anymore? What if

52:01

the industry is not there anymore? But

52:03

one thing that I'm really certain is

52:05

index funds will always be there.

52:07

Economy, the overall index is nothing

52:09

but it's a trend following system

52:11

because they keep the good companies,

52:12

kick out the bad companies.

52:13

>> Correct.

52:14

>> So, that is the core idea behind index

52:16

funds.

52:16

>> Okay.

52:17

>> So, when I keep doing the SIPs on the

52:18

index funds, be it Nifty Bees, be it

52:20

Gold Bees, that is I'm very

52:22

No, I'm very confident this will be

52:25

there for the next 30 years or 40 years.

52:27

Even though it is giving me a minimal

52:28

returns, but the returns will be there.

52:30

>> Right. Actually, you are not getting

52:32

minimal returns. You are you are making

52:34

good return than other fund managers

52:35

also.

52:36

>> when you make good thing for a prolonged

52:38

period of time, that compounds.

52:39

>> Mhm.

52:40

>> So, that is why I stopped doing No,

52:42

stocks SIP and started doing only index

52:44

SIP.

52:44

>> Now, one more question. This is very

52:46

personal. If you want to answer, you can

52:47

answer or you can say no also.

52:50

>> Mhm.

52:50

>> So,

52:51

uh with how much capital you started

52:53

your trading journey, trading or

52:55

investment journey?

52:57

>> See, when I started trading, it was in

52:59

2008. I started with 5,000 rupees of my

53:02

scholarship money, right? And that has

53:04

happened like before even I went to

53:05

work. And when I started working in

53:07

Infosys, my salary was 15,000.

53:09

>> Mhm.

53:10

>> And eventually, you know, once I started

53:12

learning about the markets, whatever

53:13

things that I learned or whatever the

53:16

work that I did, every single money I

53:18

have, you know, started putting into the

53:19

markets. Every single thing I have

53:21

started putting into my strategies.

53:22

>> Mhm.

53:23

>> And over the period, it started

53:24

compounding both the investing part and

53:26

the trading part also. Now, I'm

53:27

currently trading with the capital of

53:29

around the 2.5 CR.

53:31

>> Mhm.

53:31

>> Where I pledge, like I don't trade with

53:33

the cash as you said. I will pledge that

53:35

for all of our these kind of rotational

53:37

strategies.

53:38

And then using the margin, I trade. So,

53:40

I currently I trade only on zero DD. I

53:42

don't trade on other days.

53:43

>> Okay, so you don't need cash for M2M

53:45

also.

53:46

>> M2M I'll keep 10%. Okay, M2M definitely

53:49

you need it. So, whatever the overall

53:51

capital you have, 10% of that will be in

53:53

always in cash. So, that no, you don't

53:55

need to liquidate your assets. The rest

53:57

of the things will be in the mutual

53:59

funds or it will be in the gold bees or

54:01

nifty bees.

54:01

>> So, from 5,000 rupees to 2,000 2 crore 5

54:06

2.5 crore, so you have never withdraw

54:09

anything from this amount?

54:10

>> No, see I've only added more funds into

54:12

it because see over the period your

54:14

income will also grow. So, when you are

54:17

when you're making higher income from

54:18

your job, you add in more funds. So, it

54:21

is not that I turned 5,000 rupees into

54:23

2.5

54:24

>> Obviously, you have invested also.

54:26

>> I've invested more and more money which

54:28

I've now generated from my other incomes

54:29

and put into the trading. That is how it

54:31

grown. So, when you keep taking out the

54:34

cash for this and no, when you don't

54:36

allow for the capital to grow,

54:38

compounding becomes much Like for an

54:40

example, last year I took out my profits

54:42

to buy the flat. Correct? If I have run

54:45

with the same capital, definitely my

54:46

returns would have been significantly

54:48

higher. But there are certain moments

54:50

where you can't equate it, right? So,

54:51

those kind of emotional moments has to

54:53

be there.

54:53

>> What was your last year profit which you

54:56

invest in your flat?

54:57

>> So, that I took almost 1.5 CR. So, 1.5

55:00

CR is a flat. I took almost some 80 to

55:03

90 lakhs from it. Rest I kept it in

55:04

trading account. And I know rest I just

55:07

put it up on EMI and then went on.

55:09

>> That's that's very good. And now since

55:11

how long you are trading full time

55:13

trading and investing?

55:14

>> 2017 is when I quit my job. So, 2017 to

55:18

till date now I'm totally into full

55:19

time.

55:19

>> Okay, but since like 2008,

55:23

for example, you are trading. So, 2008

55:25

till 2017, almost 10 years,

55:28

you traded with your job only.

55:31

So, why I'm asking you this question

55:33

because normally people what they think,

55:36

if you do trading for 1 year and then

55:39

they going they then they stop doing job

55:42

because they think that I have learned

55:43

many things. And up to job come a full

55:46

time trader

55:48

but this is not the actually thing. I I

55:50

told many people that don't do don't you

55:53

know

55:54

don't quit your job because you are

55:56

started trading before 1 year because

55:59

you have not seen the proper cycle also.

56:01

Okay, if your job is okay obviously

56:04

nobody loves their job but if your job

56:07

is giving you bread and butter and if it

56:09

is giving you a comfortable stress-free

56:11

life

56:12

for your family then you should work

56:14

with your job and you make your strategy

56:17

like that that you can do with your job

56:19

also. And nowadays it is very easily

56:22

possible. It is not that that you cannot

56:26

make money with working also. Right. So

56:29

and in 2014 there was not so many

56:33

platform but now there are so many

56:35

platform. You just bring your logic you

56:37

try to apply here and you just do it.

56:40

And to make more money you need money

56:43

also. So you have to work for that to

56:46

become a to make good capital also.

56:49

So that is the thing and you know when

56:51

you do things like when you quit your

56:53

job and try to become a full time trader

56:55

when I did in my case what happened is

56:57

before I quit the job I was making at

56:59

that point of time I was making good

57:01

money from trading itself. Three times

57:02

of my salary was coming from my trading

57:05

income for 3 months. Then it gave you

57:06

huge confidence. The moment I quit the

57:08

job the next month I was getting 7,000

57:10

rupees and the next month I was you know

57:13

making a loss of minus 50,000 rupees.

57:15

So one then only you know the reality

57:17

has hit you hard because you will have

57:20

lot many calculations in your mind. But

57:22

the moment you were you know so used to

57:25

a fixed income every month suddenly when

57:27

you are you know exposed to a

57:29

fluctuating income trading income

57:31

you will that that will put you in

57:32

enormous pressure. So, if someone is

57:35

trying to quit their job, the first and

57:36

foremost thing that they have to do is

57:39

do not depend on trading income at least

57:40

for next 2 years.

57:41

>> Mhm.

57:42

>> Keep a buffer income. Keep some you know

57:44

side income or keep a buffer capital

57:46

that can take care of all your expenses

57:47

for 2 years.

57:48

>> Mhm.

57:49

>> Because you should not get any pressure

57:51

to pay the EMI, pay buy the groceries,

57:54

you know, pay the rent, EMIs. All those

57:56

things will put so much of pressure.

57:58

When so much of pressure is there, you

57:59

will deviate from your rules. You will

58:01

start taking the trades which you're not

58:02

supposed to take. Eventually that will,

58:04

you know, put a lot of dent. So, the

58:06

utmost criteria is have an income which

58:09

you are not depend on trading for 2

58:11

years. That will give you a smooth

58:13

sailing you know route. And then

58:14

eventually you can jump in.

58:16

>> And then only you can, you know, you can

58:18

wait to, you know,

58:20

this decay for [laughter] your trader

58:22

trader. Otherwise you will square off at

58:24

100 point or 50 point because of the

58:26

pressure.

58:28

Okay. So, Kiranvai, I like this very

58:30

much and actually I was expecting some

58:34

uh

58:35

uh what we complicated strategy from

58:37

your side, but I found that you are very

58:40

simple and very, you know, process

58:42

driven person.

58:43

>> Right.

58:43

>> So, I hope I look at the year podcast at

58:46

the whole day. Go. Now

58:48

Mira Hamisha key intention hota hai ki

58:51

main Joe trader hai ya Joe be investor

58:54

hai unko aapke samne leke aao or unka

58:57

tarika aapke sath share karo. Now

58:59

Kiranvai, in this podcast Joe apne

59:02

bataya hai that Nifty gold and

59:06

Nifty gold

59:07

ratio chart that is a takeaway for me.

59:11

Okay. If that that process is making 18

59:14

to 16% return, that is actually a very

59:16

big thing.

59:17

>> Exactly.

59:18

>> Because this is only for two different

59:20

asset class. What if in case you find

59:23

such a ratio in some other stocks, two

59:24

different stocks? If both are

59:26

uncorrelated to each other. apply the

59:28

same ratio in that and try to back test

59:30

it. What if in case that gives you 20%

59:31

or 24%? So, it is just I just opened a

59:34

path to the users. From here, people can

59:36

try multiple other things and they can

59:39

create their own different set of

59:40

systems.

59:41

>> this ratio chart, we can also understand

59:43

that now we have to be in the market or

59:45

not.

59:46

>> Mhm. Exactly.

59:46

>> And that is also the thing. So, thank

59:49

you, Kirubai. Thank you very much.

1:00:12

And once again, thank you, sir. Thank

1:00:14

you.

1:00:14

>> Thank you. Thank you so much, Vijay. As

1:00:16

I said earlier, whatever things that

1:00:18

you're really doing, I know I'm I'm I

1:00:20

can really feel that energy that you are

1:00:22

really a humble person and you wanted to

1:00:25

explain or convey many things to your

1:00:28

subscriber base. So, you always feel the

1:00:30

gratitude and I could literally see

1:00:32

that.

1:00:32

>> And and I feel that responsibility also.

1:00:35

That I should not take anyone's else on

1:00:38

that seat. Because that seat is very,

1:00:41

you know, responsible one.

1:00:43

>> Very true. Very true.

1:00:43

>> So, that's why my number of podcasts are

1:00:46

very less because I try to connect with

1:00:49

the real person, with the real genuine

1:00:51

trader or investor. So, that's it.

1:01:18

But, this is very good thing.

1:01:20

>> Right. Yeah, that is what. So, because

1:01:22

we are always so used to one

1:01:24

perspective. But, when you try to mix

1:01:26

you know these two things like Turtle

1:01:27

Traders system is one system, Dual

1:01:30

Momentum is one system. But, combining

1:01:31

it together, creating a ratio of it, and

1:01:33

apply the rules on the ratio is

1:01:35

something I find it very fascinating.

1:01:37

Because this uh you know this idea comes

1:01:40

like you know for traders most of the

1:01:42

idea will come when you're taking a

1:01:43

shower. That is your you know thinking

1:01:45

room. When I was taking a shower

1:01:46

suddenly you know I used to think,

1:01:47

"Okay, this is a nice idea."

1:01:49

>> Right.

1:01:49

>> But, if I have to try this maybe 5 or 10

1:01:52

years before, I have to rely on a coder.

1:01:54

Now, with the help of AI, you can

1:01:56

directly download the data from

1:01:58

TradingView, give it to AI, instantly

1:01:59

you get the result, right? That is what

1:02:01

this

1:02:02

>> So, one more question. I am using

1:02:04

generally ChatGPT.

1:02:05

>> Okay.

1:02:05

>> What do you think I should shift to

1:02:07

Claude or ChatGPT? Because there is one

1:02:09

guy who is also using good AI.

1:02:11

>> Okay.

1:02:12

>> He told me that Vijay, please shift to

1:02:14

Claude AI because that is much better.

1:02:16

So, what is your view?

1:02:17

>> See, there are four different AI

1:02:19

platforms which is for four different

1:02:21

purposes.

1:02:21

>> Mhm.

1:02:22

>> Perplexity

1:02:24

No, the Perplexity AI is specifically

1:02:26

for

1:02:27

search purposes. It replaces the Google.

1:02:29

Now, I I never go to Google now and

1:02:32

search for something. Instead, I use my

1:02:34

Perplexity app for research.

1:02:36

>> Okay.

1:02:37

>> Specifically for searching something.

1:02:38

>> Okay.

1:02:39

>> Next thing is ChatGPT is your buddy.

1:02:42

Like whatever things that you have say

1:02:44

suppose I'm repeatedly getting a

1:02:46

headache, what should I do? So, it it's

1:02:47

your chat buddy where whatever things

1:02:50

you know suddenly have certain things in

1:02:52

your mind, go and chat it.

1:02:53

>> Mhm.

1:02:54

>> For all trading related purposes, for

1:02:56

all research purposes, for all analysis

1:02:58

purposes, start using Claude.

1:03:01

Claude is the best. Whether if you

1:03:03

wanted to write a Pine Script, it will

1:03:04

write. You want to write a Python, it

1:03:06

will write. The number of errors that

1:03:08

you're going to face will be

1:03:09

significantly lower in Claude than any

1:03:12

other platform. Gemini AI, you can just

1:03:15

say for example you want you wanted to

1:03:16

watch a one-hour podcast, but I want the

1:03:19

summary of it in short. So, now I will

1:03:21

use Gemini AI or I use Perplexity

1:03:23

Assistant to summarize the video so that

1:03:26

I'll take important learnings from that.

1:03:27

Okay, so you segregate each and every AI

1:03:30

tools for specific work that will do

1:03:32

wonders for you.

1:03:33

>> Okay.

1:03:55

>> Thank you. Thank you. Thank you.

1:04:00

>> [music]

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