Not easy to track all 4K generic chemical molecules. My template is rather simple so even a layman can follow! Invest in innovator synthesis (#CDMOs) as ::
a) molecules are on-patent. No pricing pressure
b) typically 1 or 2 suppliers compete per molecule
c) runway is extra long

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Tail-events generate the biggest panic and upside. If you survive the panic w/o jumping off the train, you deserve the 100x in few stocks.
Temperament + Business Analysis = ⤴️
@unseenvalue Hats off Sir. I compared an equal weighted portfolio of your stocks above to the 2 Coffee Can stocks Abbott & Divis and your portfolio has delivered significant upside since then
— ML4TradingDoctor (@DrKRIndia) May 16, 2021
Key has to be conviction and equal weighting pic.twitter.com/6dJ1LDMSYr
Those who exited at 1500 needed money. They can always come back near 969. Those who exited at 230 also needed money. They can come back near 95.
Those who sold L @ 660 can always come back at 360. Those who sold S last week can be back @ 301
Sir, Log yahan.. 13 days patience nhi rakh sakte aur aap 2013 ki baat kar rahe ho. Even Aap Ready made portfolio banakar bhi de do to bhi wo 1 month me hi EXIT kar denge \U0001f602
— BhavinKhengarSuratGujarat (@IntradayWithBRK) September 19, 2021
Neuland 2700 se 1500 & Sequent 330 to 230 kya huwa.. 99% retailers/investors twitter par charcha n EXIT\U0001f602
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[Free CDMO Masterclass #18] https://t.co/208eQbYKEF
— Conviction | Patience (@unseenvalue) July 25, 2021
[Free Art of Investing] https://t.co/bHvUqnpiTE
[Paid IIC Dec 2020 on SeQuent] https://t.co/3iDO438Et9
[Charity fund raise on Unseen Trends in Biotechnology] https://t.co/eNi1x1qwhH
[Q&A on APIs] https://t.co/EQGz007a9S
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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.