History tells us when #USDINR moves it moves a lot. In that context it has been remarkably resilient with just 8% depreciation. It looks like we are very close to the point from where Rupee will start to appreciating again.

BTW Nifty Metal has inverse correlation with USDINR. https://t.co/X6cqVcYF3V

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More from Screeners

Time for a new thread on the possibilities I am looking for.
Do read it completely to understand the stance and the plan.


1. The moving average structure - Many traders just look at the 200 ma test or closing above/below it regardless of its slope. Let's look at all the interactions with 200 ma where price met it for the first time after the trend change but with 200 ma slope against it


One can clearly sense that currently it is one of those scenarios only. I understand that I might get trolled for this, but an unbiased mind suggests that odds are highly against the bulls for making fresh investments.

But markets are good at giving surprises. What should be our stance if price kept on rising? Let's understand that through charts. The concept is still the same. Divergent 200 ma and price move results in 200 ma test atleast once which gives good investment opportunities.


2. Zig-Zag bear market- There are two types of fall in a bear market, the first one is vertical fall which usually ends with ending diagonals (falling wedges) and the second one is zig zag one which usually ends with parabolic down moves.

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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.