https://www.google.com/amp/s/financ...tiger-cub-archegos-liquidation-015109185.html The selling was ferocious, like a Reverse GME!
Seeking has more details, “Is Archegos big in China tech?
Algo trader comment from Twitter-Linked is interesting. For weeks I was searching why Disca and VIAC would not stop. Algo guy: “I am trying to explain to my algos not to buy more of Discovery Inc. (ticker: DISCA). The price trajectory of this stock plus the combination of features makes it like a jail bait for any greedy algorithm[1]... and I am absolutely sure my algos even with their NLP modules being developed have no knowledge of the G.Gekko speach... [1] A greedy algorithm is any algorithm that follows the problem-solving heuristic of making the locally optimal choice at each stage”.Can't make this up... Hookers and crypto chicas nowadays reporting on hedge fund blowups. Laughing my ass off.
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Algo trader comment from Twitter-Linked is interesting. For weeks I was searching why Disca and VIAC would not stop. Algo guy: “I am trying to explain to my algos not to buy more of Discovery Inc. (ticker: DISCA). The price trajectory of this stock plus the combination of features makes it like a jail bait for any greedy algorithm[1]... and I am absolutely sure my algos even with their NLP modules being developed have no knowledge of the G.Gekko speach... [1] A greedy algorithm is any algorithm that follows the problem-solving heuristic of making the locally optimal choice at each stage”.
Algo trader comment from Twitter-Linked is interesting. For weeks I was searching why Disca and VIAC would not stop. Algo guy: “I am trying to explain to my algos not to buy more of Discovery Inc. (ticker: DISCA). The price trajectory of this stock plus the combination of features makes it like a jail bait for any greedy algorithm[1]... and I am absolutely sure my algos even with their NLP modules being developed have no knowledge of the G.Gekko speach... [1] A greedy algorithm is any algorithm that follows the problem-solving heuristic of making the locally optimal choice at each stage”.