More from The_Chartist ๐
Borosil Renewables - Patterns like these must be looked at carefully and must be kept on the radar. Herein price is contracting which generally signifies shifting of hands (from weak to strong). If you go wrong, the risk is limited in these. pic.twitter.com/iqyoeslZjy
— Steve Nison (@nison_steve) July 12, 2021
This exercise will tell you about your inherent strengths & weaknesses. ๐๐
How to record a trading journal (TJ) & what to analyze?
— The_Chartist \U0001f4c8 (@charts_zone) December 14, 2021
What is in a TJ?
Buy Date
Stock Name
The time frame you analyzed (D/W/M)
Long/Short?
Buy Price
SL
Sell Price
Risk took (% of capital)
Sell date
No. of days held
P/L
P/L as % of capital
Buy Reason?
Invested capital/trade pic.twitter.com/WnrvmYuOV0
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Here's how I'd measure the health of any tech company:
— Jeff Atwood (@codinghorror) October 25, 2018
How long, as measured from the inception of idea to the modified software arriving in the user's hands, does it take to roll out a *1 word copy change* in your primary product?
Hiring efficiency:
How long does it take, measured from initial expression of interest through offer of employment signed, for a typical candidate cold inbounding to the company?
What is the *theoretical minimum* for *any* candidate?
How long does it take, as a developer newly hired at the company:
* To get a fully credentialed machine issued to you
* To get a fully functional development environment on that machine which could push code to production immediately
* To solo ship one material quanta of work
How long does it take, from first idea floated to "It's on the Internet", to create a piece of marketing collateral.
(For bonus points: break down by ambitiousness / form factor.)
How many people have to say yes to do something which is clearly worth doing which costs $5,000 / $15,000 / $250,000 and has never been done before.
It's all in French, but if you're up for it you can read:
โข Their blog post (lacks the most interesting details): https://t.co/PHkDcOT1hy
โข Their high-level legal decision: https://t.co/hwpiEvjodt
โข 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 โ 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 โ though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.