I’d like to share a story about the benefits of investing in the private and public markets and how the private market mindset can help public equity investors.

2/A few years ago we invested in a private company called Meituan (3690 HK). Meituan is like doordash or Uber eats and we thought in China, with over 100 cities >1m pop, this would be a huge market. The other competitor was owned by Alibaba.
3/The company went public less than two years later at 70. We were ecstatic! Then the stock rapidly plunged to 40 based on renewed fears of competition with https://t.co/oVbw4yOOYV (Alibaba)
4/At the time we were locked up so there was nothing we could do. Today the stock is at almost 300 and $250B market cap. I fear what we might have done if not subjected to the lock up!
5/What’s the learning? In the private markets, the focus -FIRST- is TAM (size of market), then second everything else. And the stock price is static unless there is a new round. So you have time to develop your thesis.
6/In the public markets, lots of things can affect the stock price over the short run, and one can make mistakes by overestimating data about temporary problems.
7/Patience, and confidence in the 7-10 year story (how many orders per day can Meituan generate if every urban household orders 2 meals per week...) will drive the stock so much higher than one can process during painful stock fluctuations!
8/Private investing is about imagining the future as there is less data to analyze than as a public company, and that foresight usually compounds the variant perception with time.
9/ Conc: Imagination is the skill. Uncertainty is the opportunity. Data is important but so is the story. Patience is way underrated.
10/Question: How many daily orders will Meituan generate in 7-10 years? ( today it’s already >30m/day)

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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.