#Silver
Long term monthly chart.
Is silver setting up for something huge?
Last time 5-wave move resulted in 10x (2002-2011), followed by 9 years correction.

More from Mayank Narula
#Bitcoin
Monthly divergence may come into play.
I said best case scenario is market dump over next few months, and it's happening now.
I won't be surprised if it takes off to new all time high after flushing out new entrants.
Monthly divergence may come into play.
I said best case scenario is market dump over next few months, and it's happening now.
I won't be surprised if it takes off to new all time high after flushing out new entrants.
#BITCOIN
— Mayank Narula (@Mayank_Narula1) March 5, 2022
Pending RSI divergence on monthly chart which requires a dip under 13805 to get resolved.
But monthly RSI divergences can go on for years before the resolution.
Best case scenario will be panic dump over next few months. pic.twitter.com/hi67hMg9sZ
Cyclical stocks (metals, commodities, even auto) have the lowest PE multiples right around the top when cycle is about to turn.
That's when they suck in the retail.
That's when they suck in the retail.
50 % drawdown in sail done from high of 150 to 75 now.
— Sandeep M (@Sandeep_Majjigi) May 23, 2022
Without knowing how to play the cyclicals one would lose a lot of money there looking at pe ratio in single digit.
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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.
==========================
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.
