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DJ SIR THREAD

Great video with points helpful for beginners.

Made 4 threads on DJ Sir with the help of @niki_poojary

1. Selecting strikes to trade in with risk management.
2. How he took some aggressive trades.
3. Multiple charts analysis for intraday trading.
4. Trade Setup


Attaching all threads made on DJ Sir. After watching the video you can refer to this tweet for notes about his strategy and learn a few other ideas.

Compiling these together for easy access to his knowledge.

1. Selecting strikes and risk


2. Going aggressive with help of data and


3. Intraday
Here are my TOP 10 BEST TWEETS of the week: 10th September.🧵

• Psychological mistakes to avoid
• Iron fly strategy
• Calenders strategy
• 3 great books on trading stocks.
• Various risks and how to manage.
• How breakout stocks behave.
• Solutions for peak margin.

Psychological mistakes to


Iron fly strategy


Calenders strategy to give you consistent


Compounding is

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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.