#Nifty near its weekly 108ema {15300) last time that was tested was back in Sept 2020 which then led to a very strong rally. For now, lets see if it holds and gives a bounce (reversal can be reviewed later)

Monthly 34ema is at 14600, if the weekly support fails to hold then this becomes the next major and super one to start aggressive buying near it
The immediate resistance is at daily 13ema currently at 16000 (will dip down). Only if Nifty breaks and sustains above it will I consider a bottom done, else will treat it just like a bounce in case it turns before testing the Monthly 34ema
The last leg of every correction is always severe, all you read/hear is utter chaos. From today start looking at stocks you would like to add to your portfolio for the MEDIUM/LONG term - we are almost there. Happy Investing!

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#NIFTY
15 Months to this post. No change in the larger projections.

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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.