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TradingView isn't just charts
It's much more powerful than you think
9 things TradingView can do, you'll wish you knew yesterday: 🧵
Collaborated with @niki_poojary
1/ Free Multi Timeframe Analysis
Step 1. Download Vivaldi Browser
Step 2. Login to trading view
Step 3. Open bank nifty chart in 4 separate windows
Step 4. Click on the first tab and shift + click by mouse on the last tab.
Step 5. Select "Tile all 4 tabs"
What happens is you get 4 charts joint on one screen.
Refer to the attached picture.
The best part about this is this is absolutely free to do.
Also, do note:
I do not have the paid version of trading view.
2/ Free Multiple Watchlists
Go through this informative thread where @sarosijghosh teaches you how to create multiple free watchlists in the free
3/ Free Segregation into different headers/sectors
You can create multiple sections sector-wise for free.
1. Long tap on any index/stock and click on "Add section above."
2. Secgregate the stocks/indices based on where they belong.
Kinda like how I did in the picture below.
It's much more powerful than you think
9 things TradingView can do, you'll wish you knew yesterday: 🧵
Collaborated with @niki_poojary
1/ Free Multi Timeframe Analysis
Step 1. Download Vivaldi Browser
Step 2. Login to trading view
Step 3. Open bank nifty chart in 4 separate windows
Step 4. Click on the first tab and shift + click by mouse on the last tab.
Step 5. Select "Tile all 4 tabs"
What happens is you get 4 charts joint on one screen.
Refer to the attached picture.
The best part about this is this is absolutely free to do.
Also, do note:
I do not have the paid version of trading view.
2/ Free Multiple Watchlists
Go through this informative thread where @sarosijghosh teaches you how to create multiple free watchlists in the free
\U0001d5e0\U0001d602\U0001d5f9\U0001d601\U0001d5f6\U0001d5fd\U0001d5f9\U0001d5f2 \U0001d600\U0001d5f2\U0001d5f0\U0001d601\U0001d5fc\U0001d5ff \U0001d604\U0001d5ee\U0001d601\U0001d5f0\U0001d5f5\U0001d5f9\U0001d5f6\U0001d600\U0001d601 \U0001d5fc\U0001d5fb \U0001d5e7\U0001d5ff\U0001d5ee\U0001d5f1\U0001d5f6\U0001d5fb\U0001d5f4\U0001d603\U0001d5f6\U0001d5f2\U0001d604 \U0001d602\U0001d600\U0001d5f6\U0001d5fb\U0001d5f4 \U0001d601\U0001d5f5\U0001d5f2 \U0001d5d9\U0001d5e5\U0001d5d8\U0001d5d8 \U0001d603\U0001d5f2\U0001d5ff\U0001d600\U0001d5f6\U0001d5fc\U0001d5fb!
— Sarosij Ghosh (@sarosijghosh) September 18, 2021
A THREAD \U0001f9f5
Please Like and Re-Tweet. It took a lot of effort to put this together. #StockMarket #TradingView #trading #watchlist #Nifty500 #stockstowatch
3/ Free Segregation into different headers/sectors
You can create multiple sections sector-wise for free.
1. Long tap on any index/stock and click on "Add section above."
2. Secgregate the stocks/indices based on where they belong.
Kinda like how I did in the picture below.
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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.
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.