BC TRADING
Saved by @Alex1Powell

Indian Investing Conclave Day 1 @IIC_2020

:Route Mobile
:Philip Carbon Black
:Borosil Ltd
:Arvind Ltd
:Hawkins Cooker
:Repco Homes
:Shaily Engineering Plastics

 Route Mobile @ravidharamshi77

Investment Hypothesis in CPaaS companies

:Crossed the technology adoption chasm
:Huge addressable opportunity - Industry growth estimates 30-50%
:Profitable Unit Economics, Cash Generating, Incremental Cost Low

CPaaS growing at 40%
Route Mobile

:Applications served by route mobile - Facebook, Instagram, Whatsapp, Google Pay to name a few
:Route mobile platform used for : 2 factor authentication, Notification for customer engagement across portfolio of apps
Route Mobile Key points

:Scaled upto 1200cr of revenue from internal accruals
:Huge runway for growth
:Multi geography and Omni-Channel presence
:Cash available for M&A
:Scope of margin improvement
:Demonstrated ability to move up the value scale
Philips Carbon Black @sarkaraniruddha

:Indias largest carbon black manufacturer
:Where is carbon black used, Tyre Rubber(73%), Non Tyre Rubber (20%), Non Rubber Speciality Carbon (7%)

Industry Size & Capacity Addition
1.3 Million Tonnes capacity and PCB has 43% market share
Speciality Carbon : Joker in the Pack

:Launched 40 grades of speciality carbon
:FY 16 Sales : 4825 MT, FY 20 Sales : 19,378 MT
:Diversified Application : Consumer appliances, Packaging Industry, Food Packaging, Agriculture Pipes, Construction Pipes, Construction pipes
Innovation & Customer needs

:Company has spent 40cr over the last 3 years on R&D
:Company having almost all tyre companies in India as their customers
:Almost all major tyre companies to increase capacities over next 2-3 years
Borosil Ltd - Hitesh K (Aksa Capital)

Segments
:Glass & Microwave (Market Size 5.5 Bn, Growth 10%)
:Storageware (Market Size 7Bn, Growth 15%)
:Opalware (Market Sie 6Bn, Growth 15-20%)
:Kitchen Appliance (Market Size 90 Bn, Growth 10%)
:Cookware (Market Size 40 Bn, Growth 20%)
Scientific Segment : Huge Growth Scope

:Acquired Klasspack to leverage its reach with pharma companies & expand its glass expertise into everyday consumables
:Total Addressable Market Size : 10,000 cr

Borosil Vs Glassco (Laboratoryware)
Borosil Vs Competitors
Borosil Ltd Investment Thesis

:Leveraging on strong brand equity
:Protected its leadership in glassware segment
:Consistently expanding its products outside glassware
:Pharma Packaging is set for substantial growth
Hawkins @GreenEdgeWealth

Size of Opportunity
:Kitchenware market size : 15000 cr
:Hawkins addressable market size : 2500 cr, growing at 6%

Entry Barriers
:Duopoly market in cooker
:High supply chain costs
:New entrant to fight on pricing with higher costs and working capital
Long term demand drivers
:Introduction of LPG (Ujjwala Yojana)
:Nuclearization of families
:New product launches

Hawkins Vs TTK Prestige
Arvind Ltd

Business Segment

:Textiles - Denim, woven, voiles
:Technical Textile - Advanced Material Division
:Waste water treatment (Through Arvind Envisol)
:Suitings, Shirting etc.
Advanced materials Division (AMD)

:Demand for advance material growing at 10% CAGR
:Exports constitutes of 50% of total AM revenue
:Targeting to reach sales of 2500 cr in AMD by FY24/25
:Huge potential to generate valuable IP and has great domestic and export growth potential
Growth Drivers
:Domestically textile is expected to grow at 8-10% over next 5 years
:Rapid shift to branded apparels in India
:Possible textile orders from clients moving out of china

Revenue Segment
Repco Homes @MaximalCapital

Lending nature
:Affordable HFC (12 l ticket size)
:50% are non salaried
:Lending rates in double digit
:Location : Small towns and outskirts
Investment Rationale
:Best in class RoE player with PSU valuations
:Available at extremely cheap valuations
:New CEO is focused on minting balance between risks and growth

Valuation Study
Shaily Engineering Plastics Ltd.

Investment Rationale
:China +1 opportunity for growth on new verticals
:Introduction of new products - Complex polymers, Steel Furniture, Mixed Material
:Company seeking new growth areas with higher margin
:Pharma Packaging, Pharma Device
Revenue can grow substantially over next 3-4 years
:Pharma devices division can grow 2-3 x FY20
:Toys could be as big as their home furnishing segment over the next few years
:Signed 2of3 largest toy companies globally who are sourcing usd 4bn from china

More from Trading

Trader knight
Trader knight
@Traderknight007
A thread on SCALING IN - OUT METHOD -


What is scaling in - out?

1. Scaling in is adding on to the positions when they move in our favor (Pyramiding).

2. Scaling - out is exiting the portion of the position when the trade moves in our favor.

I have explained about pyramiding in previous tweets.

// Why use scaling out instead of exiting all position at once ?

When you are using ALL - out method where you exit positions at once, mostly you use wider Trail SL as you want to capture big moves and exit all when trail sl hits.

The problem with this method is that either you make too big or many times your medium size winners turns out to become Scratch trades.

So, when we use the scaling out method, we are trying to capture most of our medium size trades , so that they do not turn into scratch trades.

// How to use scaling out method -

Say we have to got a signal to enter in a trade, and we have to buy 1200 qty according to our Position sizing.

So, we have to divide this 1200 qty into parts, how much? It depends on you.

We can divide into 3 parts, each part 400 qty.
TRADING
Hermann Peterscheck
Hermann Peterscheck
@petershk
For fun I made a Robinhood account. It took me 5 minutes to sign up, get approved and transfer funds for trading...

Here's some details... Read on.

...it took me another 5 minutes to get qualified for options.

If I share a sign up I get "free shares" and I can share as much as I want up to 500$ worth.

The main UI has a prepopulated "list" of stocks/crypto to watch and links to news.


Clicking a stock opens a "trade" button that looks like this.

Notice options is first, buy second.

Options took me to an approval process (which took about a minute) and now away I go trading Baba options.


Buying stock looks like this. It emphasizes fractional shares.
TRADING
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Aditya Todmal
Aditya Todmal
@AdityaTodmal
12 TRADING SETUPS used by professional traders:🧵

Collaborated with @niki_poojary

Here's what you'll learn in this thread:

1. Capture Overnight Theta Decay
2. Trading Opening Range Breakouts
3. Reversal Trading Setups
4. Selling strangles and straddles in Bank Nifty
6. NR4 + IB
7. NR 21-Vwap Strategy

Let's dive in ↓

1/ STBT option Selling (Positional Setup):

The setup uses price action to sell options for overnight theta decay.

Check Bank Nifty at 3:15 everyday.

Sell directional credit spreads with capped


@jigspatel1988 2/ Selling Strangles in Bank Nifty based on Open Interest Data

Don't trade till 9:45 Am.

Identify the highest OI on puts and calls.

Check combined premium and put a stop on individual


@jigspatel1988 3/ Open Drive (Intraday)

This is an opening range breakout setup with a few conditions.

To be used when the market opens above yesterday's day high

or Below yesterday's day's
OPTIONSLEARNINGS , TRADING , ALL
Investment Books
Investment Books
@InvestmentBook1
As part of our Knowledge sharing initiative by @FinnacleAcademy and @Investmentbook1, here we are on our post 2 with some of the most important key takeaways of the book “Masterclass with super investors” by @vishalmittal22 & @basrars

Here we go! (1/n)


Masterclass with super investors is one of the best books covering the investment strategies & journey of renowned domestic investors. Our summary has been segregated in 2 parts, A) Common traits in investment ideologies of these stalwarts B) Investor specific key takeaways (2/n)

A)Let's look at a few common points in these Stalwarts' investment ideologies 1)Invest (higher % of portfolio) when you have conviction backed by sound logic 2)You need to be bullish on India to make investments in Indian cos. bcoz majority of Indian cos. are domestically focused

3. New Bull markets have new leaders when a bull markets ends the stocks which have gained the most falls the most 4. The entry price that you pay for a company should be very cheap so that even if your assumptions go wrong in future you don't end up losing money (4/n)

5. We get attached to stocks which have given us a lot of returns in past even though in current & future expected scenarios they seem overvalued 6. Focus on art of disciplined selling-it's imp. to have a sound selling mechanism just buying at right price wont create wealth.(5/n)
TRADING
Anshika Sharma\u26a1
Anshika Sharma⚡
@Anshi_________
Full Technical Analysis in Single Thread🧵

This whole course is worth 40-50K-

1- Candle sticks and how to use

2- Advanced price action

3- The dow theory

4- Moving
ALL , TRADING , TECHNICALANALYSISCOURSE

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Vibhor Varshney
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@nakulvibhor
On the occasion of youtube 20k and Twitter 70k members

A small tribute/gift to members

Screeners

technical screeners - intraday and positional both

before proceeding - i have helped you , can i ask you so that it can help someone else too

thank you

positional one

run - find #stock - draw chart - find levels

1- Stocks closing daily 2% up from 5 days
https://t.co/gTZrYY3Nht

2- Weekly breakout
https://t.co/1f4ahEolYB

3- Breakouts in short term
https://t.co/BI4h0CdgO2

4- Bullish from last 5

intraday screeners

5- 15 minute Stock Breakouts
https://t.co/9eAo82iuNv

6- Intraday Buying seen in the past 15 minutes
https://t.co/XqAJKhLB5G

7- Stocks trading near day's high on 5 min chart with volume BO intraday
https://t.co/flHmm6QXmo

Thank you
SCREENERS , ALL , NAKULSMIX
Raman Shalupau
Raman Shalupau
@ksaitor
Maker movement is doing to startups what startups did to corporations.

Here is why 👇

Startups fixed the problem of innovation, that corporations lack.

In big, slow corporations, innovation is a RISK and distraction from the core $$$ profitable business.

Agile startups could launch, iterate fast and eventually stumble upon new growing market opportunities.

However,

When a startup reaches product-market-fit, it has to 🚀 "grow at all costs" and reach market dominance before some giant corporation can replicate their new product and distribute it to their existing giant customer base.

Startup's "growth at all costs" often means growth at the expense of charging customers $$$ money.

Hence, to be sustainable, startups have to constantly chase investor money.

Startup teams spend more time finding and pleasing investors, than finding and pleasing customers.

95% of startups die because they run out of (investor) money + no business model + crazy investor expectations.

Same way corporations die, when unable to adjust to new technology and market shifts.
MAKERS
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Kirsti Miller
Kirsti Miller
@KirstiMiller30
@FionaPearman @ScottMorrisonMP Morrison is our statue of unempathic neoliberalism - erected by evangelical and corporate Australia to celebrate their victory over compassion, equality and secular humanism. 

Hopefully it gets pulled down like the statues of dubious heroes of oppression from an earlier age.


@ScottMorrisonMP The two-party-preferred system in 
Australia politics isn’t working for people, and it sure isn’t working for the planet.

@ScottMorrisonMP My collapse of faith in our democracies isn’t an accident. It’s one of the central victories of the neoliberal project, delivered through two generations of privatisation, outsourcing and deregulation, underfunding of government services (locked in by tax cuts),...

@ScottMorrisonMP restricting freedom of information, targeting whistleblowers and raiding the media who report on them, delegitimising and gagging public interest advocacy, and criminalising protest.

@ScottMorrisonMP Politics in Australia today relies hugely on the fact that most people don’t know most of what’s going on so as to get away with stuff that couldn’t be done under real scrutiny we have seen a clear example of this with the National Coronvirus Cabinet.
FOR LATER READ
Jim O'Shaughnessy
Jim O'Shaughnessy
@jposhaughnessy
I’m torn on how to approach the idea of luck. I’m the first to admit that I am one of the luckiest people on the planet. To be born into a prosperous American family in 1960 with smart parents is to start life on third base. The odds against my very existence are astronomical.


I’ve always felt that the luckiest people I know had a talent for recognizing circumstances, not of their own making, that were conducive to a favorable outcome and their ability to quickly take advantage of them.

In other words, dumb luck was just that, it required no awareness on the person’s part, whereas “smart” luck involved awareness followed by action before the circumstances changed.

So, was I “lucky” to be born when I was—nothing I had any control over—and that I came of age just as huge databases and computers were advancing to the point where I could use those tools to write “What Works on Wall Street?” Absolutely.

Was I lucky to start my stock market investments near the peak of interest rates which allowed me to spend the majority of my adult life in a falling rate environment? Yup.
ALL
John Myles White
John Myles White
@johnmyleswhite
This post is pretty bizarre, but it manages to hit on so many false beliefs that I've seen hurt junior data scientists that it deserves some explicit

(1) The notion that R is well-suited to "building web applications" seems totally out of left field. I don't feel like most R loyalists think this is a good idea, but it's worth calling out that no normal company will be glad you wrote your entire web app in R.

(2) It is true that Python had some issues historically with the 2-to-3 transition, but it's not such a big deal these days. On the flip side, I have found interesting R code that doesn't run in modern R interpreters because of changes in core operations (e.g. assignment syntax).

(3) "Most of the time we only need a latest, working interpreter with the latest packages to run the code" -- this is where things get real and reveal some things that hurt data scientists. If this sentence is true, it's likely because you don't share code with coworkers.

(3) Really is a broader issue in data science: people only think of what they need to do their work if no one else existed and code was never maintained. Junior data scientists almost always operate on projects they start from scratch and don't have to maintain for long.
DATA SCIENCE


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