Hindcopper -- Can face selling pressure from 122-125 zone. Bull are weak and Previous bottoms 135-136 major hurdle. Not Crossing 125/135 can take stock to lower levels

#Hindcopper https://t.co/KMpDhWTc53

More from Shivaji Vitthalrao🇮🇳

#Nifty -- Going good so far forming triangle as expected.

Till it breakouts expect pendulum swings within this structure.

I am positive for 19300-20000 above 18350.

Bottoms 16800-17000 in place and 200dema at 16600. Dont see any big cut. @moneyworks4u_fa https://t.co/lceGFlDyRM

More from Hindcopper

#Metals Expecting metals to do well from here. I am marking two levels, first one is bullish above, second one is a weekly closing stop for long trade. Posted about metals earlier as well, so just an update

#TataSteel 1483/1367 #JSWSteel 733/664 #SAIL 128/112 #Nalco 86/71 https://t.co/ENmCqITEmA


#Hindcopper 150/109 #Hindalco 450/399 #Vedl 307/260 #Hindustanzinc 345/293


#GPIL 1420/1084 #Sardaenergy 747 / 614 #JindalPowerSteel 428/357

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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.