Jubilant Ingrevia - Key learning?

It is important to analyse the strength of the breakout. If the price does not continues the move in 1 or 2 sessions and candles show long upper wicks, it is better to bring the SL closer. Distribution sign.

Will be helpful in next breakouts. https://t.co/AtZOj4bKeT

More from The_Chartist 📈

More from Screeners

TradingView isn't just charts

It's much more powerful than you think

9 things TradingView can do, you'll wish you knew yesterday: 🧵

Collaborated with @niki_poojary

1/ Free Multi Timeframe Analysis

Step 1. Download Vivaldi Browser

Step 2. Login to trading view

Step 3. Open bank nifty chart in 4 separate windows

Step 4. Click on the first tab and shift + click by mouse on the last tab.

Step 5. Select "Tile all 4 tabs"


What happens is you get 4 charts joint on one screen.

Refer to the attached picture.

The best part about this is this is absolutely free to do.

Also, do note:

I do not have the paid version of trading view.


2/ Free Multiple Watchlists

Go through this informative thread where @sarosijghosh teaches you how to create multiple free watchlists in the free


3/ Free Segregation into different headers/sectors

You can create multiple sections sector-wise for free.

1. Long tap on any index/stock and click on "Add section above."
2. Secgregate the stocks/indices based on where they belong.

Kinda like how I did in the picture below.

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Recently, the @CNIL issued a decision regarding the GDPR compliance of an unknown French adtech company named "Vectaury". It may seem like small fry, but the decision has potential wide-ranging impacts for Google, the IAB framework, and today's adtech. It's thread time! 👇

It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details):
https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha

I've read it so you needn't!

Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.

The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.

Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.