In this Thread, We will cover some important Reversal Patterns.

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@kuttrapali26 @caniravkaria @Jagadeesh0203 @KommawarSwapnil

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1. Double Top

a. Two successive peaks separated by an opposite reversal point.

b. Either rounded or pointed peaks that are usually at roughly the same price.

c. Price must break out of middle reversal point.
2. Double Bottom

a. Two successive troughs separated by a peak.

b. Either rounded or pointed troughs that are usually at roughly the same price.

c. Price must break out of middle peak.
3. Head and Shoulders

a. Three peaks with center peak higher than the other two.

b. Shoulders should be at approximately the same level and the head higher.

c. Target is the distance from the head to the neckline projected from the neckline.
4. Inverse Head and Shoulders

a. Inverted but otherwise identical to above pattern.
5. Rising Wedge

a. Bounded by two trend lines, each headed in the same direction. Price must touch a trend line at least five times before a breakout.
6. Falling Wedge

a. The falling wedge has a series of lower highs and lower lows, but the lower lows are less pronounced than the lower highs, creating more of a wedge than a triangle shape.

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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.