I was watching a video on Fundamental Analysis where the speaker presented a Company's price chart and his theory of how price moves in cycles.

Something clicked and I could correlate the same concepts is being used in the Financial Space

A Thread 🧵
RT if you ♥️

This was a F2F video from @elearnmarkets by @vivbajaj

Mr. Shailendra Kumar explained how he aims to catch a company during the improvement phase and ride it through the rest of improvement, re-rating & story phases.

This curve appears more than you would imagine in any chart!
This is the same curve as interpreted by Stan Weinstein in his Stage Analysis Method.

He looks to Enter stocks in at the break of Stage 1 or at early Stage II, riding the entire momentum and exit at Stage 3.

Sounds Familiar? Lets do more.
Richard Wyckoff interprets the same curve as Accumulation - Distribution stage

The Wyckoff Method seeks specific conditions for positioning usually before Phase A of distribution begins, to be precise, during Phase C / Spring in the accumulation phase.

Same to Same
Then, A relatively unknown guy called
Ralph Nelson Elliott, who developed the Elliott Wave Theory which is based on another unknown guy's theory called Dow Theory, which as it turns out also has a certain shape to his theory on how price moves in Long run!!!

Coincidence?
I guess, at the end of the day, Companies do business by selling products. As it turns out revenues from these products drive prices in the long run or shall I say Expectations of future estimated revenues drives people's behavior in the markets.

Guess what?
Products have a life cycle too & It looks eerily similar to all the charts above! I guess we know why.

Products have the same stages before they fade out. An introduction, Growth Stage, Maturity, Decline :

Different People,
Different Interpretations,
Same Charts!
Feels like this when the entire crew contributes :
RT if you ♥️
Will do a sequel / Continuation Thread to this!

Tagging twitter fam
@jitendrajain @vivbajaj @yogeshnanda1 @theBuoyantMan @AkshayChinchal4 @indiacharts @nishkumar1977 @sanjufunda @ProdigalTrader @TheSagarPareek @mnopro

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Following @BAUDEGS I have experienced hateful and propagandist tweets time after time. I have been shocked that an academic community would be so reckless with their publications. So I did some research.
The question is:
Is this an official account for Bahcesehir Uni (Bau)?


Bahcesehir Uni, BAU has an official website
https://t.co/ztzX6uj34V which links to their social media, leading to their Twitter account @Bahcesehir

BAU’s official Twitter account


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A brief analysis and comparison of the CSS for Twitter's PWA vs Twitter's legacy desktop website. The difference is dramatic and I'll touch on some reasons why.

Legacy site *downloads* ~630 KB CSS per theme and writing direction.

6,769 rules
9,252 selectors
16.7k declarations
3,370 unique declarations
44 media queries
36 unique colors
50 unique background colors
46 unique font sizes
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https://t.co/qyl4Bt1i5x


PWA *incrementally generates* ~30 KB CSS that handles all themes and writing directions.

735 rules
740 selectors
757 declarations
730 unique declarations
0 media queries
11 unique colors
32 unique background colors
15 unique font sizes
7 unique z-indices

https://t.co/w7oNG5KUkJ


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The PWA's CSS is generated on-demand by a JS framework that manages styles and outputs "atomic CSS". The framework can enforce strict constraints and perform optimisations, which is why the CSS is so much smaller and safer. Style conflicts and unbounded CSS growth are avoided.