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Saved by @Mollyycolllinss

1/ Just realized this morning that it was 5 years ago today that I invested in @densityio ... it has truly been such a great career experience for me. Some notes ...

 2/ Density is a privacy-first way to monitor how people or objects move around spaces. Today mostly office spaces. Plus warehouses, schools, retail outlets, government buildings
3/ Density is a software company that gives insights to property owners or occupants. To deliver value it required team to also build hardware. That has been a journey. VCs are scared of HW. It’s challenging but gives SW companies such great defensive moats.
4/ many of the great tech companies have used HW to great advantage. Apple, obvi. But Amazon (Fire, Kindle, Alexa/Echo, Ring). Google (Nest, cameras that built Streetview, Home, FitBit). Peloton. Roku. Just a few obvious ones. HW + SW is so powerful.
5/ Team pitched me on infrared devices. We weren’t convinced on accuracy but bet on team: Andrew, Garrett, Rob, Brian & others who I figured would iterate on solution. Plus, I had huge trust in seed investors @jtriest @Jason who voiced for them & @AvidanRoss who didn’t but liked
6/ Quickly they settled on laser and “depth sensing” which gave much more accurate ingress & egress (in / out) which was critical for physical security. Was purchased by who’s who of Silicon Valley: DropBox, Stripe, Amazon, Salesforce, LinkedIn, Facebook & so many others. But ...
7/ HW was expensive and slow to build and inventory costs and Infosec requirements. Watching @GarrettBastable work the supply chain & leverage his experience from working at Apple was awesome. Drove high quality but stripped out costs. Let SW team focus on just SW innovation
8/ Team made important early decision to “Build in America” and put assembly in Syracuse, NY where company was founded & founders came from (HQ now SF but distributed team). We get great talent in Syracuse & don’t churn employees. Plus, none of the move to Miami. Although ... :)
9/ We took off with security and space planning (US gov’t, Marriott, Verizon, Delta, CBRE) but VCs still didn’t “get it.” What were we? Luckily @foundersfund believed in the team. With that raise we hired experienced GTM leadership @asewall @aleksstrub Leanna and 💥 💥 💥
10/ @adambain & @dickc saw traction and made bet before growth investors. I love their model (and them). They don’t take board seat - they act as coach. This was more valuable to us. Helped at critical time. And also helped validate for growth investors
11/ Then what happened next was insane. We launched a radar-based solution. Infrared was great for ingress / egress but radar is perfect for proximity. I think you know where this is heading ...
12/ With laser (counting people in/out) and radar (distance from each other) we thought we had a huge market opportunity. Then Covid happened. Over night all those people who didn’t get it suddenly realized this needs to exist in every office, every warehouse, every university...
13/ Density’s bookings grew > 450% in one quarter. We had more demand than we could serve and had to be selective who our most committed and promising customers were
14/ A ton of VCs kept saying “somebody is going to do this with low cost cameras” Of course companies will try. But we have not only a technically superior solution & lower processing costs but here’s a very important thing that has been @andrewfarah’s true north since day 1 ...
15/ Andrew lives the privacy mission. In a world that is increasingly intrusive we believe there’s a critical role for non-cameras. We don’t think employees & customers want Uighur-like tracking where your your every move if filmed without your consent or knowledge
16/ The company recently raised a huge growth round led by @ilyaf @kleinerperkins who bring a tremendous growth mentality. Plus DTA who brought @AROD ... who truly has amazing corporate relationships and works to help Andrew.
17/ With huge demand, enterprise-grade product, complete exec team, $50+ million in fresh financing - the next five years will be even more exciting. Here’s the thing ...
18/ This story sounds linear. Up-and-to-the-right. It wasn’t. It was years of struggle, execution challenges, VCs doubting - I had to bridge the company once. Exec team took pay cuts without being asked. Their unwavering belief & commitment got them over that hurdle
19/ VC isn’t all fun & amazing as you might imagine on Twitter. It’s hard work. Successes & failures & hard calls. But for those of us who enjoy watching products & markets get created out of nothing - it’s journeys like working with Density that make this job so rewarding

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10-K Diver
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1/

Get a cup of coffee.

In this thread, I'll help you understand Geometric Expectations.


2/

Imagine we have an investment opportunity.

If the investment goes well, we get to double our money.

But if it goes badly, we'll end up losing three fourths of it.

There's a 50/50 chance of either outcome.

The question: is this a good bet or not?

3/

A simple way to approach this question is to calculate the bet's "expectation".

For every $1 we bet, there are 2 possibilities:

1. The lucky case, where we double our money and end up with $2, and

2. The unlucky case, where we lose (3/4)'th to end up with just $0.25.

4/

Each of these outcomes is equally likely.

So, on *average*, every $1 we put in turns into ($2 + $0.25)/2 = $1.125.

This is a *positive* 12.5% return.

Such bets are called *positive expectation* bets. On average, we expect to *make* (rather than *lose*) money on them.

5/

Suppose we could take many turns betting at these odds.

In any one turn, we could of course lose money.

But because our bet has positive expectation, *over time* we expect to make money.
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Kirtan A Shah
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Learn about the STEEL SECTOR in this thread

The demand for steel is generally only 1.2 times the GDP & there is no significant growth in our GDP but still the sector has rallied relentlessly, lets try & understand

Do ‘re-tweet’ & help us educate more investors (1/22)
#Investing

The metal sector is broadly divided into 2,
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-Non-Ferrous is a metal, which does not have Iron content, Aluminum, copper, lead, nickel, Zinc etc.
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To start, lets understand with how steel is made (its important).
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Aditya Todmal
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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.

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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
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Val Katayev
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@ValKatayev
A former CIA math genius built a quantitative trading fund that earned more than $100 BILLION for investors.

At 66% return/yr, his track record destroys that of Warren Buffet, George Soros, Carl Icahn, and every investor who ever lived.

The Smartest Billionaire in Finance:


1/28
If you'd have put $100 into Jim Simons' Medallion Fund in 1988, it would be $400M+ today.

By contrast,

$100 in the S&P 500 in 1988, would be $2,000 in 2022. (roughly)

Let that sink in.

2/28
Jim Simons's Medallion fund has had unreasonably high annual returns of 66% across 30 years.

For comparison, Buffet clocked in at about 20%/yr.

Many funds don't make that in a lifetime.

3/28
Even during the financial crisis of 2008, it made a net return of 82.38%.

They make so much money for their investors that they charge 44% in management fees.

The industry standard is 20%.


4/28
It uses math calculations to decide the bulk of its trades, & none of the market trends apply to how it performs.

It wins by finding order in chaos.

The fund is managed by Renaissance Technologies, the parent company founded by the mathematical genius Jim Simons.
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JayneshKasliwal
JayneshKasliwal
@JayneshKasliwal
How to Avoid Big Losses In trading ?

1. Avoid Stocks Below 200 ema
2. Sell Stocks in Stage 4 Down Trend
3. Dont Trade Stocks that are moving in Circuits
4. Avoid News based Trading

A thread With examples🔖

Retweet to Educate Your Trading Friends !
1/n

A Study Shows that 90% of the winning Stocks stay above 200 ema before a big Advancing Phase

1. Simply Not Holding or Buying Stocks below 200 ema Saves a lot of time and Money.
2. You can looses opportunity Cost if you buy stocks below 200 ema.
3. TimeFrame: Daily 200 ema

2/n


B. Sell Stocks in Stage 4 Down Trend

1. Stocks Exhibiting this are in complete Bear Grip
2. The 30 week ema acts as reference for stage analysis
3. These Stocks can be short sold on pullback to 30wema
4. Happens after Topping Phase
5. TimeFrame : Weekly , 30 Week Ema

3/n


C. Dont Trade Stocks that are moving in Circuits

1. Mostly these stocks are Speculatve and Operator Driven.
2. You never know what is the top of the trend and may get Stuck with Huge Losses

Example : TTML , Alok , Ruchi etc
This is Pyramid Structure and news driven also
4/n


D. Avoid News based Trading
1. Whenever a postive News comes in Market People Jump in Buying the Stocks without thinking .
2. Most of the the times the news is factored in or gets factored after heavy buying
3. Your Money may get Stuck

Example : PnbBousing , AdaniPower
5/n
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People that have higher EQ & SQ tend to go further in life than those with high IQ but low EQ &SQ.

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The article is, at heart, deeply weird, even essentialist. Here, for example, is the claim that proposing climate engineering is a "man" thing. Also a "man" thing: attempting to get distance from a topic, approaching it in a disinterested fashion.


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