@jay_21_ (1) Shorts must always be very small. Max 1.5-2.0% for large cap structural decliners. 20-40bps for frauds and promotes.
@jay_21_ (2) No hero shorts.
@jay_21_ (3) Wait for things to crack before putting a position on in any type of size (which for a short, is still very small). $700 to $0 and $200 to $0 are both 100% returns.
@jay_21_ (4) Must be willing to cover aggressively if going against you. After cracking, need to be willing to add on the way down (particularly for promotes or frauds).
@jay_21_ (5) Don’t short great companies and don’t short hyper growth companies. Maybe there can be some exceptions if your long book is heavily exposed to these factors (quality / growth).
@jay_21_ (6) Having to keep a fixed % of the portfolio short (potentially in order to justify fees in L/S fund) is dangerous. Leads to getting into crowded shorts or having to short indexes. Shorting seems to be best when done opportunistically.
@jay_21_ (7) Avoid high short interest names / keep them very very small / buy way OTM calls as a hedge.
@jay_21_ (8) Be very careful with equity stubs. Treat them as you would high short interest / hyper growth companies.
@jay_21_ (9) If you find yourself thinking about a short first thing in the morning / watching the ticks during the day - you are likely too big.
@jay_21_ (10) MOST IMPORTANT. At the end of the day, the only point of selling short is to enable you to safely get a little more long. Key word is safely. Short book is float. You should think of it as insurance underwriting. Portfolio management and avoiding large losses is priority #1.

More from For later read

1. The death of Silicon Valley, a thread

How did Silicon Valley die? It was killed by the internet. I will explain.

Yesterday, my friend IRL asked me "Where are good old days when techies were


2. In the "good old days" Silicon Valley was about understanding technology. Silicon, to be precise. These were people who had to understand quantum mechanics, who had to build the near-miraculous devices that we now take for granted, and they had to work

3. Now, I love libertarians, and I share much of their political philosophy. But you have to be socially naive to believe that it has a chance in a real society. In those days, Silicon Valley was not a real society. It was populated by people who understood quantum mechanics

4. Then came the microcomputer revolution. It was created by people who understood how to build computers. One borderline case was Steve Jobs. People claimed that Jobs was surrounded by a "reality distortion field" - that's how good he was at understanding people, not things

5. Still, the heroes of Silicon Valley were the engineers. The people who knew how to build things. Steve Jobs, for all his understanding of people, also had quite a good understanding of technology. He had a libertarian vibe, and so did Silicon Valley

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Nano Course On Python For Trading
==========================
Module 1

Python makes it very easy to analyze and visualize time series data when you’re a beginner. It's easier when you don't have to install python on your PC (that's why it's a nano course, you'll learn python...

... on the go). You will not be required to install python in your PC but you will be using an amazing python editor, Google Colab Visit
https://t.co/EZt0agsdlV

This course is for anyone out there who is confused, frustrated, and just wants this python/finance thing to work!

In Module 1 of this Nano course, we will learn about :

# Using Google Colab
# Importing libraries
# Making a Random Time Series of Black Field Research Stock (fictional)

# Using Google Colab

Intro link is here on YT: https://t.co/MqMSDBaQri

Create a new Notebook at https://t.co/EZt0agsdlV and name it AnythingOfYourChoice.ipynb

You got your notebook ready and now the game is on!
You can add code in these cells and add as many cells as you want

# Importing Libraries

Imports are pretty standard, with a few exceptions.
For the most part, you can import your libraries by running the import.
Type this in the first cell you see. You need not worry about what each of these does, we will understand it later.