
In this post, we discussed the top most important #banking #ratios for #investors. If you're looking for some more additional ratios/terms, comment below and we will get back to you. Stay tuned for more updates like these!
#TejiMandi #TMLearn #TejiMandiLearn #DidYouKnow [1/8]

More from Investing
🔟of my principles at the end.
⬇️⬇️
1⃣ Buffett : Gotta start with the🐐
https://t.co/RKO4BAMbpT

2⃣ Ensemble Capital : @IntrinsicInv @ToddWenning
https://t.co/6Cozku3Vmn

3⃣ Fundsmith : Terry Smith
https://t.co/WqBHvN4RiU

4⃣ Silver Ring Value Partners : Gary Mishuris
https://t.co/hjDC2VBIum

Rather, I learned 10x more about investing from Twitter University.
🧵 Here are 5 threads from world-class Fintwitters.
What you learn: Build an investing checklist.
From: @BrianFeroldi, writer at Motley
1/ How to create an investment checklist (thread)
— Brian Feroldi (@BrianFeroldi) December 8, 2020
Checklists are an amazing, FREE, underutilized investing tool
Here's the step-by-step process for how to create your own
\u2b07\ufe0f\u2b07\ufe0f\u2b07\ufe0f\u2b07\ufe0f\u2b07\ufe0f\u2b07\ufe0f\u2b07\ufe0f\u2b07\ufe0f\u2b07\ufe0f
What you learn: Read 10Ks like a Hedge Fund
From: @FabiusMercurius
\U0001f9d0How to Read 10Ks Like a Hedge Fund\U0001f9d0
— Ming Zhao (@FabiusMercurius) May 7, 2021
\u201cFundamentals don\u2019t matter anymore!\u201d I\u2019ve heard this a lot lately on Fintwit.\U0001f644
But, for those who\u2019ve diversify beyond $GME and $DOGE, here\u2019s a primer on what metrics fundamental buy-side PMs look at and why:
(real examples outlined)
\U0001f447 pic.twitter.com/tLlNRvpnDK
What you learn: Perform a DCF analysis.
From: @10kdiver
1/
— 10-K Diver (@10kdiver) August 8, 2020
Get a cup of coffee.
In this thread, I'll show you how to do a DCF analysis.
For those unfamiliar, DCF = Discounted Cash Flow.
What you learn: When to sell your stocks
From: @borrowed_ideas, founder at
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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.
