#FreeTip
A simple illustration to analyse stocks in a very simple way:
1) Prepare a list of stocks with more than say, 400% returns last 1 year and currently above 3 digits. U will have around 30-40 NSE listed stocks.
2) Look at each stock chart just before breakout
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3) Take a note book and right down against each stock, the behaviour of MAs Vis a vis the stock, for eg., 30 week MA / daily 200 ma / 150 ma, 50 ma, etc.); the behaviour of Relative Strength (RS); behaviour in terms of volume; any pattern like rectangular breakout etc.
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4) Might take 3 plus hours for the above exercise. Once you are done, see the common elements against all stocks. That is the edge you have knowing the behaviour of super performance stocks. U need not hold for 400%. U can atleast get 20% out of it.
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5) A eg. is -- few of the stocks had 3 year rectangular breakouts with RS at new high / 52w high. This is just an example. Dont immediately look for only this criteria. I can help you out with a list of triple digit stocks in excess of 400% over last 1 year.
GoodLuck.

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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.