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$Learner Ankit Jaglan \U0001f1ee\U0001f1f3$

Learner Ankit Jaglan 🇮🇳
@Ankiit001 3 years ago 338 views

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Going To Post One Example For Breakout Trade Which I Said to Share Few Days Back

I Am Not Saying You Will Find Setup Like This daily But Whenever You Will Find It Will Definitely Give You Best Reward

So If You Find This Useful Kindly Share And Retweet For Learning 🙏🙏🙏

Setup Used :

🔶Exponential Moving Average( 21 )
🔶Standard Pivot Points
🔶Volume Chart
🔶Manual S&R and OR

One Can Easily Find Trade Based On This Setup And Can Easily Earn Good Money In Cash Trading

Lets Learn How To Use It IN Live Market

1.) IBUL Opened Gap up ( Above PDH )
2.) Marked OR H&L And Saw That OR High
& R2 is Nearby Hence We Will buy Above OR High
3.) Once OR High Broken Entry HAs Been Triggered With SL As Given In Chart
4.) Once OR High Crossed Movement Was Too Fast And Stock Crossed R3.

continue...

5.) So IF You Want To Add More Quantity You Can Add And Scale Up Position So That We Can Maximize Our Profits
6.) Now Keep Trailing Your SL Once you Get 1:2 RR Book Your Position Or Keep Your SL At Cost
7.) If You Want To Ride Complete Trend Then Keep Trailing Your SL As 21 EMA

8.) Once 21 EMA is Broken Completely Exit From Position

As You Can See In Below Picture That Once 21 EMA is Broken Trend Completely Changed Hence Follow Rules Strictly Because We will Follow Trend

This is Simple Setup For Breakout Will Try To Post For Breakdown Also.

If You Will Follow It Consistently Then No Can Stop You And You Do Not Need Any Paid Tips

If You Liked It Follow @Ankiit001 Foe More Threads

Share And Retweets And Spread Learning 🙏🙏🙏

Thanks !!!

More from Learner Ankit Jaglan 🇮🇳

$Learner Ankit Jaglan \U0001f1ee\U0001f1f3$

Learner Ankit Jaglan 🇮...
@Ankiit001

Stocks Looking Good For Short Term

1. TATAMOTORS ( Pullback )
2. TATASTEEL ( Breakout )
3. TATASTLBSL ( Breakout )
4. ASTRON ( Breakout )

Views Invited ✌️

@kuttrapali26 @Mr_Chartist @caniravkaria

$Learner Ankit Jaglan \U0001f1ee\U0001f1f3$

Learner Ankit Jaglan 🇮...
@Ankiit001

Stocks Trading Near Support Zone :

🔶 Baja Finance
🔶 TCS

Both Stocks Trading Near Strong Support Zone With Harmonics Pattern formation.

#stocks2watch #Share #market

@kuttrapali26 @rohanshah619 @caniravkaria @Puretechnicals9 @Mr_Chartist

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$Learner Ankit Jaglan \U0001f1ee\U0001f1f3$

Learner Ankit Jaglan 🇮...
@Ankiit001

Range Squeezing Stocks

1.) L&TFH ( Weekly Chart )
2.) COALINDIA ( Hourly Chart )
3.) CHAMBLFERT ( Daily Chart )
4.) HINDCOPPER ( Daily Chart )

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Share & Retweet ❤️🙏

@kuttrapali26 @caniravkaria @Mr_Chartist @charts_breakout

$Learner Ankit Jaglan \U0001f1ee\U0001f1f3$

Learner Ankit Jaglan 🇮...
@Ankiit001

Range Squeezing Stocks

Watch out for Breakout For Good Risk Reward Entry

1 - ERIS
2 - CGCL
3 - BAJAJFINSV
4 - LALPATHLAB

#StocksToWatch

@kuttrapali26 @caniravkaria @saditya10p @RTSTOCKVIEW

$Learner Ankit Jaglan \U0001f1ee\U0001f1f3$

Learner Ankit Jaglan 🇮...
@Ankiit001

Range Squeezing Stocks

Triangle Pattern Formation

1. LAURUSLABS
2. LUPIN
3. SHILPAMED
4. NAVINFLUOR

Via @tradingview

Keep Tracking for Good Risk Reward Entry

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Tushar Bohra
@tusharbohra

This is in response to the question by @unseenvalue

If I had to buy 1 stock today, anywhere in the world, no avg. up or down, 5 year holding period (I will make that as 10 year for thesis to play out)

Since I track mainly Indian equities, restricting the choice to this space

Few points to look for
1. Strong macro tailwind rather than headwind, huge growth runway for company/segment. It can't be in a niche space & demand must not be easily substitutable
2. Strong Biz Model, high growth curve (15%+ over the period), strong ROE profile (hurdle rate 20%)

3. Low or no leverage, efficient capital allocation, (read minimal or zero fresh dilution requirements), strong cash flows and correspondingly high dividend payout ratios (consistent dividend history) and finally strong moat and with limited regulatory involvement / no reg issues

4. Promoter quality and intention must be beyond reproach, proven management with skin in the game
5. Capability to manage disruption, and if possible to even profit from it. If you can't be disrupted easily, you will eventually adapt your game to gain scale

6. There must be a possibility of non-linear growth if the scale-up hypothesis gets proven right. It's like an FD with low fixed return plus significant upside optionality. Multiple revenue streams / margin levers / IP that can provide non linearity in growth

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My Basic Trend Following system :

EMA-9> EMA>21>EMA> 63> EMA> 200.

RSI > 55

Weekly bases - Minimum 4 weeks.

Volume up by 200% .

Some others point to note :

Institutional sponsorship must.
Leading group
Annual Growth > 15 %
Quarterly growth > 15%
PEG <2.5

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Sahil Sharma
@sahil_vi

Such opportunities only come once in a few years.

Step-by-step: how to use (the free) @screener_in to generate investment ideas.

Do retweet if you find it useful to benefit max investors. 🙏🙏

Ready or not, 🧵🧵⤵️

I will use the free screener version so that everyone can follow along.

Outline
1. Stepwise Guide
2. Practical Example: CoffeeCan Companies
3. Practical Example: Smallcap Consistent compounders
4. Practical Example: Smallcap turnaround
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Step1

Go to https://t.co/jtOL2Bpoys

Step2

Go to "SCREENS" tab

Step3

Go to "CREATE NEW SCREEN"

At this point you need to register. No charges. I did that with my brother's email id. This is what you see after that.

$The_Chartist \U0001f4c8$

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@charts_zone

How was the trap set in Nestle?

Click on attached tweet and then its attached tweet to learn what traps are. https://t.co/SjXYJGNVrO

Indian example - Nestle India

Now, you can spot these traps https://t.co/caBHOO4Owa pic.twitter.com/q6vnj6ThrC
— The_Chartist \U0001f4c8 (@charts_zone) January 30, 2022

Arrush Adityadev
@ArrushAdityadev

Triggers and Sequence of Events that will propel #Nifty to new
"All Time High" 👉🏻 18,604.50

Small 🧵👇🏻

- Russia - Ukraine War comes an end shortly.

- Will result in immediate fall of Crude oil,
major Reason for Inflation.

- Fed Turns Dovish as inflation Cools off.

- Lower Inflation = Better earnings declared by companies.

- Better Earnings mean Higher EPS and PE Contraction.

- Lower Inflation = Dovish Fed

- Dovish Fed Will result in Major Correction Dollar.

- Bearish Dollar will lead to Bullish trend Emerging Market.

Do like and Retweet if you liked this thread.👍🏻

Follow me if you would like read more such content in near future👍🏻

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foone
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So there's a class of puzzles called "river crossing puzzles" which involve having to cross a river on a boat/bridge containing some set of individuals/items with restrictions on which ones can be on the boat/left on each shore, right?

and the most common subclass of these problems is the one where you have 3 items/animals to cross with.
This is alternatively called the "fox, goose, and bag of beans" or "wolf, goat, and cabbage" puzzle.

the idea is that your boat can only carry one item at a time, but if you leave the wolf/fox unattended with the goat/goose, the wolf/fox will eat the goat/goose.
and similarly, the goose/goat will eat the beans/cabbage if left alone

so you have to set up a set of actions that never leaves either side of the river in one of the lose-states.

the solution to this variant being:
1. take the goat/goose over
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5. take the cabbage/beans over
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The Straddle is my favorite trade these days. But more often than not, one needs to adjust to make a good return from it. There are many ways to do this depending on your view, psychology and imagination. Will discuss a few that I use

The Straddle is a delta neutral strategy and it is important to keep deltas in check during the course of the Trade and not let them run away from you. Of course Volatility is the elephant in the room- but not going there as that will require a separate discussion

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$GunduHuduga| \u0c97\u0cc1\u0c82\u0ca1\u0cc1 \u0cb9\u0cc1\u0ca1\u0cc1\u0c97|\U0001f549$

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When I picked up this month's magazine, I was intrigued by a story which I want to share as below

1/

This is a real-life incident as narrated by Prof. Krishna Bihari Pandey titled "Sati Savitri"

Sati Savitri is a well known puranic figure from Srimad DeviBhagwatham and Mahabharatha as one of those who fought with Yama to save her husband.

2/

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3/

Once Prof gets to know that his mother is not keeping well. He goes to his native and brings his mother. With dedicated care of his wife, his mother recovers quite remarkably and regains full stamina and strength

Mother-in-law & Daughter-in-law go out for shopping frequently

4/

Life's going smooth until one day when they receive a telegram that Prof's father is not keeping well.

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$ArmaniTalks \U0001f399\U0001f525$

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@ArmaniTalks

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'What is that?'

The law of charisma...👇

Let's address the over thinkers first.

Do you have any idea why you overthink?

'Yea. Because others are judging how shy I am.'

Incorrect.

Others are thinking about themselves, not you.

But the fact that you think they are thinking about you, you fuck up the interaction.

Now you stay in your head too much & avoid the present moment.

A major no no in the social world.

Your tendency to think that others are judging you for being shy, coincidentally makes you more shy.

And that's when you start giving off a strange vibration to the social setting.

This is when you begin attracting comments like 'why are you so quiet?'

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Important paper from Google on large batch optimization. They do impressively careful experiments measuring # iterations needed to achieve target validation error at various batch sizes. The main "surprise" is the lack of surprises. [thread]

https://t.co/7QIx5CFdfJ

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They have separate experiments where the hold fixed # iterations and # epochs, which (as they explain) measure very different things. They avoid confounds, such as batch norm's artificial dependence between batch size and regularization strength.

When the experiments are done carefully enough, the results are remarkably consistent between different datasets and architectures. Qualitatively, MNIST behaves just like ImageNet.

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