DIVISLAB
Double Top Buy, T20 Pattern - Bullish, Super Pattern - Bullish above 4394.59 daily close on 1% Box Size chart. https://t.co/3F3aLZk5td
DIVISLAB
— Saket Reddy (@saketreddy) June 28, 2020
Low debt, High ROCE & Earnings growth, High cash flows and buzzing business in which the company is a leader makes it a classical compounder!
Chart Attached! pic.twitter.com/euIpcfGwQq
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Double Top Buy triggered above 3938.97 daily close on 1% Box Size chart. https://t.co/ZTxOtTreco
ALKEM
— Saket Reddy (@saketreddy) January 8, 2021
The company is engaged in the development, manufacture and sale of pharmaceutical and nutraceutical products.
Double Top Buy above 3013 daily close on 3% box size chart, DTB active on 1% chart. pic.twitter.com/ToYx5T3Reb
Haters are still hating it, time to pyramid once again!
Double Top Buy, T20 Pattern - Bullish & Super Pattern - Bullish above 625.07 daily close on 1% Box Size chart. https://t.co/EDqa7dAAKn
LAURUSLABS
— Saket Reddy (@saketreddy) May 3, 2021
Haters are gonna hate, but IMO, this is the best opportunity to start pyramiding and make it a well sized holding.
A trio of patterns coming together, has one of the highest success rate!
Double Top Buy, T20 Pattern - Bullish & Super pattern - Bullish above 477.81! https://t.co/SqzkTyb9wx pic.twitter.com/hTj7mfAOqy
The Home Building Theme has just broadened itself and is moving in top gear!
The best ways to play the real estate revival theme instead of buying the home builders :-
— Saket Reddy (@saketreddy) November 21, 2020
1. Ceramics (CERA, KAJARIA)
2. Pipes (ASTRAL, SUPREME, APLAPOLLO)
3. Paints (ASIAN, BERGER)
4. Cement (JKCEM, SHREEC)
5. Construction Chemicals (PIDILITE)
6. Electricals (POLYCAB, HAVELLS)
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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.