More from Sahil Sharma

what better way to start sunday than a #kilpest thread: a classic peter lynch pick & shovel investment for the diagnostics sector. If you like the thread, please retweet this tweet to help educate max investors. 🙏🙏


Before I dive into Kilpest, some words on microcap investing. Everyone **needs** to be aware of what they are signing up for.

Two interviews from @varinder_bansal sir’s Omkara capital with very successful microcap investors (one with @iancassel sir: https://t.co/WDSOOIcUn8 ...

@iancassel & one with @hiddengemsindia sir: https://t.co/iC8iKOsKWz) do a wonderful job explaining all the landmines & things to keep in mind. Do watch these, please before you buy any #microcap

@iancassel @hiddengemsindia My own take is that one has to create a diversified PF of uncorrelated microcaps (if you'd typically invest in 5, make it 10 and so forth). Understand that liquidity risks will always remain.
A lot of people ask: how do you find companies to invest in? very good question.

How did you find RACL, Pix?

Creating this ad-hoc thread to share my process.

if you like it, please RT to benefit maximum investors. 🙏

1.
https://t.co/2bvvRSBScr
Imagine what you want in a company, codify it in the form of filters, create a screen. Example below:

"Market Capitalization > 50
AND

Market Capitalization < 3000
AND

((Average return on capital employed 5Years > 25 AND
Price to Earning < 20) OR
(Average return on capital employed 5Years > 15 AND
Price to Earning < 10))
AND
Sales growth 5Years > 10
AND
...

...
Operating cash flow 5years /5 < Operating cash flow 3years /3
AND
Operating cash flow 7years /7 < Operating cash flow 3years /3"

In this screener, i am looking for
smallcaps with a min mcap,
which have a bare minimum average ROCE & valuation accordance to the unit economics
which are also growing topline
and where operating cash flows are also increasing, on an average basis

More from Ds

1/

Get a cup of coffee.

In this thread, I'll walk you through 2 probability concepts: Standard Deviation (SD) and Mean Absolute Deviation (MAD).

This will give you insight into Fat Tails -- which are super useful in investing and in many other fields.


2/

Recently, I watched 2 probability "mini-lectures" on YouTube by Nassim Taleb.

One ~10 min lecture covered SD and MAD. The other ~6 min lecture covered Fat Tails.

In these ~16 mins, @nntaleb shared so many useful nuggets that I had to write this thread to unpack them.

3/

For those curious, here are the YouTube links to the lectures:

SD and MAD (~10 min):
https://t.co/0TwubymdE6

Fat Tails (~6 min):

4/

The first thing to understand is the concept of a Random Variable.

In essence, a Random Variable is a number that depends on a random event.

For example, when we roll a die, we get a Random Variable -- a number from the set {1, 2, 3, 4, 5, 6}.

5/

Every Random Variable has a Probability Distribution.

This tells us all the possible values the Random Variable can take, and their respective probabilities.

For example, when we roll a fair die, we get a Random Variable with this Probability Distribution:

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