Arthur Hayes published a new essay on October 27 describing futures and perpetual trading linked to Flop Network’s proposed computing market, where AI agents would pay for computing power using FLOP.
The plan aims to establish a benchmark price for computation that traders could use to craft financial contracts around the resources consumed by AI systems.
Hayes explains how FRCR futures work
In an article on X, Hayes titled his essay “The Trifecta” and describe it is a model for entrepreneurs looking to create derivative products for the AI agent economy. Its central idea is that a liquid spot market for computing power could provide the necessary pricing benchmark for futures and perpetual swaps.
The proposed Flop Reference Compute Rate (FRCR) would be calculated hourly using a volume-weighted FLOP price per GigaFLOP of compute capacity. Quarterly futures contracts would settle on the last Friday of March, June, September and December, with the contracts using the US dollar for margin and profit.
Hayes explained that the dollar-based structure would require a quanto derivative, a contract whose payment uses a different currency than its underlying asset. Since the IT market would be priced in FLOP while traders might prefer dollar-denominated returns, contract pricing would require an adjustment to the relationship between FRCR and the FLOP/dollar exchange rate.
The proposed perpetual swap would use an eight-hour time-weighted average of the difference between its trading price and the FRCR to calculate funding payments. As with perpetual cryptocurrencies, traders on the more expensive side of the contract would pay those on the cheaper side, based on the premium.
Market makers could recreate exposure to futures contracts by purchasing or supplying Flop Compute Units (FCUs), which represent reserved inference capacity for a specified AI model and delivery time. Hayes’ design also requires vendors to post FLOP bonds, which they risk losing if they fail to deliver promised IT work.
Flop’s spot market is the basis
The derivatives offering is contingent on Flop Network establishing a functional spot market. Hayes argues that existing indices that track chip rental prices and individual AI token prices provide incomplete information because both are derivatives of the underlying computational cost.
Under its design, network blocks would record inference tasks, computational work performed, and fees paid to miners. These receipts would allow the exchange rate to be calculated between the FLOP and the calculation capacity, thus giving buyers and suppliers a common reference.
Hayes introduced Flop Labs in August 2026, describing its proposed native token, FLOP, as “food for your AI agent.” In an Aug. 27 explanation, the project argued that autonomous agents need money directly exchangeable for computing resources rather than payment systems designed primarily for people and businesses.
The post Arthur Hayes Considers Creating Derivatives Around AI Computing appeared first on CryptoPotato.
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