4/x keepers are calling in the Fed(s) (Fed/sec) for some help getting the animals back under control, so they can feed Gary & get the zoo back under control. As they are likely giving guidance to the brokers to get this under control, as every major retail broker seems to be
![](https://pbs.twimg.com/tweet_video_thumb/Esz7grwXMAM-iyn.jpg)
More from Cem Karsan 🥐
![](https://pbs.twimg.com/tweet_video_thumb/ErCRBk3W8AANhPs.jpg)
1/x Well you can\u2019t say I didn\u2019t warn you... We\u2019ve been eying that 3770.5 level and the 1/5-1/13 window for many weeks. To get it a day early, @ the lowest edge of the upper range, tells me that there\u2019s understandable concern over the impending outcome of the runoff. As I\u2019ve said https://t.co/BxG2DzdXqt pic.twitter.com/ki4sYprwIH
— Cem Karsan \U0001f950 (@jam_croissant) January 5, 2021
2/x for this year, but for the economic trajectory of America & likely the macroeconomic regime of the developed world for the coming decade. That said, contrary to popular belief, the market does not move based on news in the short term if the positioning doesn’t allow it to.
3/x & our old friend Gary the 🦍 & his sidekick Vanna are positioned to have this market pinned through 1/11. So, as explained ad nauseam, the election news, though fundamentally important, won’t matter to the index itself in the ST. As predicted, the largest moves from the GA
4/x runoff INITIALLY have come from factor rotation. This should continue to be the case, as the street is oversupplied IVol & the index is pinned. This not only allows for idiosyncratic risk moves in constituents, but it actually FORCES extreme noncorrelation & rotation, as we
5/x have witnessed now for the past 2 days. This Vol compression will be increasingly difficult to break free from until 1/11-1/15, but the window of weakness is coming...soon the final hedges from the ‘election hump’ in Nov will expire with the Jan monthly options. Once the
More from Society
these have been sold as a way to stop infection as though this were science.
this was never true and that fact was known and knowable.
let's look.
![](https://pbs.twimg.com/media/Eqar6obUYAAE3Ze.png)
above is the plot of social restriction and NPI vs total death per million. there is 0 R2. this means that the variables play no role in explaining one another.
we can see this same relationship between NPI and all cause deaths.
this is devastating to the case for NPI.
![](https://pbs.twimg.com/media/EqasXEzUwAASCm3.png)
clearly, correlation is not proof of causality, but a total lack of correlation IS proof that there was no material causality.
barring massive and implausible coincidence, it's essentially impossible to cause something and not correlate to it, especially 51 times.
this would seem to pose some very serious questions for those claiming that lockdowns work, those basing policy upon them, and those claiming this is the side of science.
there is no science here nor any data. this is the febrile imaginings of discredited modelers.
this has been clear and obvious from all over the world since the beginning and had been proven so clearly by may that it's hard to imagine anyone who is actually conversant with the data still believing in these responses.
everyone got the same R
this methodology is a little complex, so let me explain what i did.
— el gato malo (@boriquagato) May 30, 2020
a few EU countries provide real day of death data. this lets us plot meaningful curves to show rate of disease change.
what struck me is how similar all the curves were.
everyone got the same shape. pic.twitter.com/bN0hILzoSl
\u0926\u0947\u0936 \u092e\u0947\u0902 \u092a\u0939\u0932\u0940 \u092c\u093e\u0930 \U0001f1ee\U0001f1f3
— AAP (@AamAadmiParty) March 12, 2021
\u0926\u0947\u0936\u092d\u0915\u094d\u0924\u093f \u0915\u0940 \u0938\u094d\u092a\u0947\u0936\u0932 \u0915\u094d\u0932\u093e\u0938 \u0932\u0917\u093e\u090f\u0917\u0940 @ArvindKejriwal \u0938\u0930\u0915\u093e\u0930\u0964
\u090f\u0915 \u092a\u093e\u0920\u094d\u092f\u0915\u094d\u0930\u092e \u092c\u0928\u093e\u092f\u093e \u091c\u093e\u090f\u0917\u093e, \u091c\u093f\u0938\u0938\u0947 \u092c\u091a\u094d\u091a\u094b\u0902 \u092e\u0947\u0902 \u0915\u0942\u091f \u0915\u0942\u091f \u0915\u0930 \u0926\u0947\u0936\u092d\u0915\u094d\u0924\u093f \u092d\u0930\u0940 \u091c\u093e\u090f\u0917\u0940\u0964 pic.twitter.com/iO6WMBh4YG
Tolstoy, found it both stupid and immoral. It is stupid because every patriot holds his own country to be the best, which obviously negates all other countries.+
It is immoral because it enjoins us to promote our country’s interests at the expense of all other countries, employing any means, including war. It is thus at odds with the most basic rule of morality, which tells us not to do to others what we would not want them to do to us+
My sincere belief is that patriotism of a personal nature, which does not impede on personal and physical liberties of any other, is not only welcome but perhaps somewhat needed.
But isn’t adherence to a more humane code of life much better than nationalistic patriotism?+
Göring said, “people can always be brought to the bidding of the leaders. That is easy. All you have to do is tell them they are being attacked, and denounce the peacemakers for lack of patriotism and exposing the country to danger. It works the same in any country.”+
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Beautifully read: why bookselfies are all over Instagram https://t.co/pBQA3JY0xm
— Guardian Books (@GuardianBooks) October 30, 2018
THEY DO READ THEM, YOU JUDGY, RACOON-PICKED TRASH BIN
![](https://pbs.twimg.com/media/Dq1F-HTWwAA7xyj.jpg)
If you come for Bookstagram, i will fight you.
In appreciation, here are some of my favourite bookstagrams of my books: (photos by lit_nerd37, mybookacademy, bookswrotemystory, and scorpio_books)
![](https://pbs.twimg.com/media/Dq1JZQtXQAA8cLc.jpg)
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These are going to be very simple yet effective pure price action based scanners, no fancy indicators nothing - hope you liked it.
https://t.co/JU0MJIbpRV
52 Week High
One of the classic scanners very you will get strong stocks to Bet on.
https://t.co/V69th0jwBr
Hourly Breakout
This scanner will give you short term bet breakouts like hourly or 2Hr breakout
Volume shocker
Volume spurt in a stock with massive X times
==========================
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.
![](https://pbs.twimg.com/media/FGgTAXfUYAApQN4.png)