I don't know about crypto but I invested because it's was rising
- Retail Investor
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24 Videos selected from 24000+ Video repositories (BQ Prime @_nirajshah)
1) Vijay Kedia (@VijayKedia1)
2) Kenneth Andrade
1.0 https://t.co/0JjC7bw5TW (2018)
2.0 https://t.co/2YNkFMyuJL (2017)
3.0 https://t.co/aY8ZnYSoIO (2020)
3) Basant Maheshwari (@BMTheEquityDesk)
4) Samit Vartak (Sage Investment Manager @SamitVartak )
1.0 https://t.co/CgIYR8dLuk (2017)
2.0 https://t.co/LU9KUcV5dI (2021)
3.0 https://t.co/zHrOMEE646 (2022)
He grab many multibagger stocks and His style also unique(1st Seen interview in @TraderHarneet's YT Channel)
He follow Simple process
Young Intelligent Investor who also appeared in ET
1. One Up On Wall Street
2. Rich Dad Poor Dad
Access here : https://t.co/UWOCF732z6
3. The Unusual Billionaires
4. Trading in the Zone
https://t.co/G7mqVPtEM0
5. Market Wizards
6. The Intelligent Investor
https://t.co/yPKBzYyPAl
7. The Five Rules for Successful Stock Investing
8. Reminiscences of a Stock Operator
https://t.co/PiioB3hdHP
More from Wise investing
Spoke to a group of students from London School of Economics this morning. So many great questions. As usual, multiple Qs gravitate around \u201chow do you know?\u201d Or how did you know or how could you know? It\u2019s the reason I wrote this. https://t.co/aECMjIFxw0
— Ho Nam (@honam) June 27, 2021
Peter Lynch, Charlie Munger, Sanjoy Bhattacharyya and Philip Fisher.
Some notes on investing, savings and power of compounding!
Will keep adding stuff.
Like and retweet for wider reach.
A thread of threads!
Lessons from Peter Lynch. Best selling author of the book "One Up on Wall Street" and fund manager of one of the best performing mutual fund in the
Investing lessons from Peter Lynch.
— SKJ (@skj_102) June 3, 2021
- Legend of Stock Markets
- Author of book - "One Up on Wall Street"
- Managed one of the best performing mutual funds in the world.@dmuthuk
Thread\u2b07\ufe0f
Lessons from Charlie Munger. Warren Buffet's long-time friend and one of the greatest
Pearls of Wisdom from Charlie Munger and the lessons we can learn in our investing lives.
— SKJ (@skj_102) June 1, 2021
Let's not make the same mistakes again!@dmuthuk @contrarianEPS
Thread\u2b07\ufe0f
Lessons from Sanjoy Bhattacharyya. One of the legends of Indian Stock Market and a mentor to many great
Investing Lessons from Sanjoy Bhattacharyya - One of the legends of Indian Stock Markets and a mentor to many great investors.
— SKJ (@skj_102) June 2, 2021
These lessons are from the Morningstar Investment Conference when @safiranand had a conversation with Sanjoy Sir.@dmuthuk
Thread\u2b07\ufe0f
Lessons from Philip Fisher. One of the best selling authors of the book "Common Stocks and Uncommon
Wisdom.@dmuthuk pic.twitter.com/UOZJ18xLju
— SKJ (@skj_102) May 26, 2021
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#ArudraDarisanam
Unique Natarajar made of emerlad is abt 6 feet tall.
It is always covered with sandal paste.Only on Thriuvadhirai Star in month Margazhi-Nataraja can be worshipped without sandal paste.
After removing the sandal paste,day long rituals & various abhishekam will be https://t.co/e1Ye8DrNWb day Maragatha Nataraja sannandhi will be closed after anointing the murthi with fresh sandal paste.Maragatha Natarajar is covered with sandal paste throughout the year
as Emerald has scientific property of its molecules getting disturbed when exposed to light/water/sound.This is an ancient Shiva temple considered to be 3000 years old -believed to be where Bhagwan Shiva gave Veda gyaana to Parvati Devi.This temple has some stunning sculptures.
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.