Several former members of FTX EU’s trading team have launched Perpetuals.com, a new derivatives venue that integrates artificial intelligence into its core tooling. The platform is designed to apply automated insights to areas such as trading,risk management and market analysis.
The move comes as the wider digital asset market continues to rebuild in the wake of high-profile exchange failures and heightened regulatory scrutiny. By combining derivatives infrastructure with AI-driven features, the project aims to position itself within a segment of the industry focused on more systematic and technology-led trading solutions.
Inside the launch of Perpetuals.com as ex FTX EU quants bet on AI driven derivatives
The launch of Perpetuals.com brings a group of former FTX EU quantitative specialists back into the spotlight as they attempt to apply their experience in derivatives to an AI-enhanced trading environment. Rather than positioning the platform simply as another venue for perpetual futures,the team is framing its effort around algorithmic tools that can assist with pricing,risk management,and trade execution. In practice, this means using machine-learning models to process large amounts of market data, identify patterns, and adjust parameters in ways that are difficult to achieve manually. While the core product still revolves around familiar instruments such as perpetual swaps, the emphasis on automation highlights how derivatives infrastructure is evolving in parallel with advances in data science.
for market participants, the project underscores both the promise and the constraints of bringing AI-driven derivatives into the crypto space. On one hand, quantitative strategies informed by machine learning can help traders react more quickly to liquidity shifts, volatility spikes, and exchange-specific microstructure. On the other,these approaches remain highly sensitive to model design,data quality,and changing market regimes,all of which can limit how reliably they perform over time. By drawing on a background in regulated European operations and crypto derivatives, the ex FTX EU team is attempting to bridge conventional quant practices with on-chain market structure, but how effectively AI tools will translate into consistent, real-world trading advantages remains an open question that the market itself will test.
How Perpetuals.com plans to use machine learning to reshape perpetual futures liquidity and risk
Perpetuals.com is positioning its machine learning stack as an additional layer on top of existing market structure, aiming to improve how liquidity is routed and how risk is monitored across perpetual futures markets. Rather than replacing human decision-making or established trading models,the platform’s algorithms are described as tools that can continuously process order flow,funding dynamics and position data to help exchanges,liquidity providers and traders react more quickly to changing conditions. In practice, this could mean using pattern-recognition models to flag when liquidity becomes fragmented across multiple venues, or when concentration in a particular contract or side of the book might potentially be increasing the likelihood of abrupt price dislocations.
The project also frames machine learning as a way to create more adaptive risk parameters for perpetual futures, such as margin requirements or position limits that respond to real-time volatility and liquidity rather than static settings. According to this approach,models would not be making directional bets on price,but instead would focus on indicators of stress,crowding or inefficiency that can precede disorderly trading. Simultaneously occurring,the team acknowledges that these systems are constrained by the quality and breadth of the underlying data,and that algorithmic signals must be interpreted within a broader risk framework. This emphasis on using machine learning as a complementary, data-driven input – rather than an opaque black box – reflects ongoing efforts in the derivatives segment of the crypto market to balance innovation with safeguards for market integrity.
Regulatory and counterparty safeguards Perpetuals.com touts to distance itself from the FTX legacy
Perpetuals.com is positioning its framework of safeguards as a direct response to the trust crisis that followed the collapse of FTX, emphasizing structural measures intended to separate client assets from exchange risk. Rather than relying on opaque internal controls, the platform highlights the use of independent custodial arrangements and clearer segregation between customer collateral and operational funds, concepts that became central to regulatory debates after FTX’s misuse of client deposits. The exchange also points to closer alignment with existing regulatory expectations, including more transparent reporting practices and a governance setup designed to reduce the concentration of decision-making power that characterized some earlier centralized trading venues.
At the same time, Perpetuals.com’s messaging reflects a broader shift in the derivatives segment of the crypto market, where counterparties and regulators are increasingly focused on how perpetual futures platforms manage risk, enforce margin rules, and handle potential insolvencies. The platform’s effort to distinguish itself from the FTX legacy underscores how counterparty risk-the danger that a trading venue or its affiliates cannot meet obligations-has become a critical factor for both institutional and retail participants. While the effectiveness of these safeguards will ultimately depend on real-world implementation and ongoing oversight, their prominence in Perpetuals.com’s strategy illustrates how regulatory scrutiny and market expectations are reshaping what counts as a baseline standard for operating a crypto derivatives exchange.
Key questions traders should ask before migrating to an AI powered derivatives venue like Perpetuals.com
Before shifting activity to an AI-powered derivatives venue such as Perpetuals.com, traders need to examine how the platform’s automation, execution logic, and risk controls align with their existing strategies and operational requirements.That includes clarifying what role AI actually plays in the trading stack-whether it is limited to signal generation and analytics, or whether it also influences order routing, position sizing, or liquidation logic. traders should also evaluate how the venue sources prices and manages funding rates for perpetual futures, how positions are margined and liquidated under stress, and whether transparency is provided into models, parameters, and decision-making processes that might affect trade outcomes. Understanding these mechanics is critical in a market where small differences in execution speed, slippage, and margin policy can materially change the risk profile of a derivatives strategy.
Equally vital are questions around governance, operational resilience, and data protections. Traders should seek clarity on how the venue handles outages or abnormal market conditions, what safeguards exist against model errors or misconfigurations, and how quickly systems can be adjusted if AI-driven behavior produces unintended effects. they may also wish to scrutinize how user data and trading histories are stored and processed, what level of monitoring and compliance oversight is in place, and how disputes or anomalies are resolved. By systematically addressing these issues in advance, traders can better assess whether an AI-enabled derivatives platform fits within their risk management framework and regulatory obligations, rather than treating its use of advanced technology as a guarantee of superior performance.
As Perpetuals.com comes online, the platform’s architects are betting that a blend of institutional-grade derivatives infrastructure and AI-driven tooling can restore confidence in a sector still reckoning with the fallout of FTX. Whether it succeeds will depend not only on its technology and regulatory posture, but also on the willingness of traders to entrust a new venue in an industry defined by rapid innovation and equally rapid reversals. For now, the launch underscores a broader inflection point in crypto markets, where former insiders are attempting to remake the landscape they onc helped to shape-this time under closer scrutiny, and with far less margin for error.
