【BlockBeats】Did you hear? Two core members of the former FTX Europe team, Patrick Gruhn and Robin Matzke, have launched a new project—an AI-driven derivatives trading platform Perpetuals com (PDC), which officially listed on NASDAQ on January 20.
These two guys are not unknown. They were co-founders of Swiss digital asset company Digital Assets, which was later acquired by Sam Bankman-Fried and rebranded as FTX EU. You can imagine how long they endured legal entanglements after the FTX incident. But the impressive part is that they managed to incubate this Perpetuals platform by repurchasing the remaining assets of FTX EU.
What are the features of the platform itself? Based on the integration of the business acquired from Earlyworks Co. and Perpetual Markets Ltd., this exchange primarily offers regulated 24/7 self-clearing trading, backed by blockchain settlement technology. The most interesting aspect is their AI engine—trained on over 10 million historical trading data points from mainstream crypto exchanges. What can this system do? Analyze market sentiment, calculate profit and loss probabilities for individual traders, and help market makers and options issuers optimize hedging strategies.
The team’s goal is clear: to replace traditional CFDs and perpetual contracts with AI-enhanced derivatives, mainly aiming to reduce potential losses for retail investors in an environment long considered unfair or even somewhat predatory. To some extent, they are trying to redefine the rules of derivatives trading through the power of machine learning and big data.
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SelfSovereignSteve
· 9h ago
From breaking the deadlock to going public, this guy really has something.
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TestnetNomad
· 9h ago
Rising from the ruins of FTX? I've seen this script too many times... But these two guys are indeed quite something.
Daring to list on NASDAQ, their courage is truly remarkable.
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MoonRocketman
· 9h ago
Based on the January 20th launch window, this orbital design is quite clever... Two guys dug out a platform from the FTX ruins, and the fuel supply logic is working smoothly.
Wait, regarding AI derivative trading, how's the RSI momentum data? Have the Bollinger Bands broken out of the gravity resistance level?
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LiquidationWatcher
· 9h ago
Climbing out of the FTX disaster and still launching new platforms—this kind of courage is truly commendable.
View OriginalReply0
AlwaysQuestioning
· 9h ago
Oh no, FTX's ghost is back? These two guys really know how to stir things up.
AI derivative exchange born from the FTX ruins: Perpetuals com launches on NASDAQ
【BlockBeats】Did you hear? Two core members of the former FTX Europe team, Patrick Gruhn and Robin Matzke, have launched a new project—an AI-driven derivatives trading platform Perpetuals com (PDC), which officially listed on NASDAQ on January 20.
These two guys are not unknown. They were co-founders of Swiss digital asset company Digital Assets, which was later acquired by Sam Bankman-Fried and rebranded as FTX EU. You can imagine how long they endured legal entanglements after the FTX incident. But the impressive part is that they managed to incubate this Perpetuals platform by repurchasing the remaining assets of FTX EU.
What are the features of the platform itself? Based on the integration of the business acquired from Earlyworks Co. and Perpetual Markets Ltd., this exchange primarily offers regulated 24/7 self-clearing trading, backed by blockchain settlement technology. The most interesting aspect is their AI engine—trained on over 10 million historical trading data points from mainstream crypto exchanges. What can this system do? Analyze market sentiment, calculate profit and loss probabilities for individual traders, and help market makers and options issuers optimize hedging strategies.
The team’s goal is clear: to replace traditional CFDs and perpetual contracts with AI-enhanced derivatives, mainly aiming to reduce potential losses for retail investors in an environment long considered unfair or even somewhat predatory. To some extent, they are trying to redefine the rules of derivatives trading through the power of machine learning and big data.