Owing to the Twitter Bulk DM limit and the crazy response that we got.
We were not able to send everyone the screener on DM.
So,
We have instead uploaded the link and the process on our Telegram Channel.
Join Here | https://t.co/FSyDMbgo3n
More from The Chartians
More from Screeners
Chartink Screeners Complete Compilation
Sharing 9 Screeners🧵
1. Swing Trading Techno Funda https://t.co/sV6e8XSFRK
2.Range Breakout
https://t.co/SNKEpGHNtv
3. Stocks in Tight Range :
https://t.co/MqDFMEfj82
Telegram Link : https://t.co/b4N4oPjqm9
Retweet and Share !
4.Stock Closing up 3% Since 3 days
https://t.co/vLGG9k3YKz
5. Close above 21 ema
https://t.co/fMZkgLczxR
6. Days Fall and Reversal
7. 52 WEEK high Stocks.
https://t.co/H6Z6IGMRwS
8. Intraday Stocks :https://t.co/JoXYRcogj7
9. Darvas Box
Sharing 9 Screeners🧵
1. Swing Trading Techno Funda https://t.co/sV6e8XSFRK
2.Range Breakout
https://t.co/SNKEpGHNtv
3. Stocks in Tight Range :
https://t.co/MqDFMEfj82
Telegram Link : https://t.co/b4N4oPjqm9
Retweet and Share !
4.Stock Closing up 3% Since 3 days
https://t.co/vLGG9k3YKz
5. Close above 21 ema
https://t.co/fMZkgLczxR
6. Days Fall and Reversal
7. 52 WEEK high Stocks.
https://t.co/H6Z6IGMRwS
8. Intraday Stocks :https://t.co/JoXYRcogj7
9. Darvas Box
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
BTW Nifty Metal has inverse correlation with USDINR. https://t.co/X6cqVcYF3V
We know how our stock market has weathered the FII selling.
— Sandeep Kulkarni (@moneyworks4u_fa) June 10, 2022
But the equally big story is how Rupee has weathered $50bn+ outflows since Oct 2021. Hats off to RBI Governor Das & his team for having the vision of building huge reserves in his tenure. pic.twitter.com/CVuF9dM361
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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.
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.