🧙‍♂️A magic ranking algorithm for news boards/upvote based communities
📈 Score = (u-1) / (t+2)^g
u = Upvotes (-1 to cancel out the point of the original submitter)
t = time
g = gravity (a gravitational constant, to make the post decay)
🏆Posts are ordered by Score

This was used in the first versions of Hacker News.
📉 Here are some sample plots https://t.co/LOnMKdHc2B
And a @paulg comment that shows a lisp implementation of this https://t.co/SrZpSkEDQR

More from Ferruccio Balestreri

Here’s a look at how we think the open House races this November will go (1/5)

In the 62 House races with no incumbent running, 29 races are leaning toward, likely or solidly under GOP control, according to our race ratings (2/5)
https://t.co/6TGYPRvTIk

That’s compared to 26 open races that we’re predicting are leaning toward, likely or solidly going to Democrats (3/5) https://t.co/6TGYPRvTIk

There’s 7 open House races that we think are toss-ups. These races could help push one party over the finish line for control of the House. (4/5) https://t.co/6TGYPRvTIk

Use our DIY Congress tool to make your own predictions about the midterm elections (5/5)

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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.
MASTER THREAD on Short Strangles.

Curated the best tweets from the best traders who are exceptional at managing strangles.

• Positional Strangles
• Intraday Strangles
• Position Sizing
• How to do Adjustments
• Plenty of Examples
• When to avoid
• Exit Criteria

How to sell Strangles in weekly expiry as explained by boss himself. @Mitesh_Engr

• When to sell
• How to do Adjustments
• Exit


Beautiful explanation on positional option selling by @Mitesh_Engr
Sir on how to sell low premium strangles yourself without paying anyone. This is a free mini course in


1st Live example of managing a strangle by Mitesh Sir. @Mitesh_Engr

• Sold Strangles 20% cap used
• Added 20% cap more when in profit
• Booked profitable leg and rolled up
• Kept rolling up profitable leg
• Booked loss in calls
• Sold only


2nd example by @Mitesh_Engr Sir on converting a directional trade into strangles. Option Sellers can use this for consistent profit.

• Identified a reversal and sold puts

• Puts decayed a lot

• When achieved 2% profit through puts then sold