30 books I wish I read before Investing my hard-earned money:

1. You can be a Stock Market Genius by Joel Greenblatt
2. Common Stocks, Uncommon Profits by Phil Fisher
3. Margin of Safety by Seth Klarman
4. The Crowd by Gustave Le Bon
5. Winning the Loser's Game by Charles Ellis

6. The Zurich Axioms by Max Gunther
7. The Most Important Thing by Howard Marks
8. Thinking, Fast and Slow by Daniel Kahneman
9. The Intelligent Investor by B. Graham
10. A Zebra in Lion country by Ralph Wanger and Everett Mattlin
11. Learn to Earn by Peter Lynch
12.Poor Charlie's Almanack - The wit and wisdom of Charles T Munger
13.Speculative Contagion by Frank Martin
14. The Long and the Short of it by John Kay
15. More than you know by Michael Maubossin
16. Influence - The Psychology of Persuasion by Robert Cialdini
17. The Psychology of Judgment and Decision making by Scott Plous
18. The Real Warren Buffett by James O'Loughlin
19. Devil take the Hindmost by Edward Chancellor
20. Risk Intelligence by Dylan Evans
21. The Emotionally Intelligent Investor by Ravee Mehta
22.Accounting for Value by Stephen Penman
23. Common Stocks and Common Sense by Edgar Wachenheim III
24. Big Money Thinks Small by Joel Tillinghast
25. Memos from the Chairman by Alan C Greenberg
26. Groupthink by Irving Janis
27. The Investment Checklist by Michael Shearn
28. The Manual of Ideas by John Mihaljevic
29. Adaptive Markets by Andrew W Lo
30. Simple but not Easy by Richard Oldfield

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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.