#LTTS
Regression channel usually saves the trend to stay intact. LTTS looks so oversold yet strongly uptrending
Quite a setup it is !!

More from ProdigalTrader
I have explained the importance of meeasuring momentum of the trend.
U can guage the strength in the trend once u know how to measure the direction.
This trend strength is infact signals the trend continuity or the potetnial for sustanining the trend.
Thats great assurace to hav https://t.co/HanLvlXkjQ
U can guage the strength in the trend once u know how to measure the direction.
This trend strength is infact signals the trend continuity or the potetnial for sustanining the trend.
Thats great assurace to hav https://t.co/HanLvlXkjQ

Before making ur trade entry or even before making a bias of trend as either bullish or bearish, do u use any objective measures to define the trend based on price, volume and momentum?
— Aneesh Philomina Antony (@ProdigalTrader) May 15, 2021
Price will always go back and forth move no matter how strong the trend is.
1/4 pic.twitter.com/qqizh2JO3J
Never trust a slow mover
if demand is enough, it should go up fast
if not, a small increase in supply can trigger substantial fall
#coforge https://t.co/2yJRCUFMIO
if demand is enough, it should go up fast
if not, a small increase in supply can trigger substantial fall
#coforge https://t.co/2yJRCUFMIO

failing to find momentum
— Aneesh Philomina Antony (ProdigalTrader) (@ProdigalTrader) April 6, 2022
too slow for my liking
4408 - 4508 (0.7R)
cutting it off#coforge https://t.co/NtN2ECRSA4 pic.twitter.com/sz1kH8LPI7
More from Ltts
#LTTS
#LLTS Weekly chart shows the stock is recovering from 61.8% fibonacci pullback of last major rise
— Techno Prince (@Trader_souradep) July 24, 2022
Daily chart shows a a rounding bottom , daily RSI bullish
If it sustains above 3500 it can move towards 3900+ levels and later towards 200 DMA 4480#Nifty pic.twitter.com/6ebtfLMJZd
You May Also Like
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.