Simulation Theory in the Crypto Scene: Structural Transformation of RWA Perpetual Futures

The RWA movement, which began with integrating real-world assets into the blockchain, is now transforming into one of the most interesting applications of simulation theory. RWA Perps aim not only to bring asset ownership onto the chain but also to openly, transparently, and decentralization simulate the complex derivatives markets of traditional finance. This simulation process represents the final move of DeFi to take over Wall Street’s leveraged trading market.

In crypto markets, RWA research typically focuses on representing assets like government bonds, stocks, and real estate on-chain. However, these static approaches and reconciliation solutions fail to capture the true dynamics of financial markets. The real engine of global finance is not passive asset holders but traders seeking to play with leveraged and directional risks. In the global financial ecosystem, the $50 trillion 0DTE options market in the US and the $30 trillion CFD markets outside the US demonstrate retail investors’ high-leverage, short-term position demands. To address this gap, DeFi protocols are beginning to apply simulation theory as a solution.

Simulating Real-World Markets: The Theoretical Foundation of RWA Perps

RWA Perpetual Futures are based on the idea of reconstructing traditional financial mechanisms in a decentralized environment. From a simulation theory perspective, these protocols replicate real market maker functions, oracle prices, and funding fee mechanisms on-chain. Without physical delivery of assets, they apply the over a decade-long tested perpetual futures mechanism—originally proven in crypto—to stock, commodity, and currency markets.

The main advantage of this simulation is that it eliminates the costly and complex structures of traditional finance while providing users with 24/7 access, instant settlements, and transparent mechanisms. However, the simulated system is not perfect—calendar constraints, holidays, and bank transfer protocols of the physical world still limit on-chain transactions.

The Simulated Alternative to 0DTE Options: Advantages of Perpetual Futures

Over the past decade, the US options market has undergone a deep structural transformation. According to Cboe Global Markets data, the share of same-day expiry options in S&P 500 index options was below 5% in 2016, now exceeding 60%. The monthly nominal trading volume has reached $48 trillion.

This statistic shows how widespread the pursuit of short-term, high-leverage positions is. However, the main issue with 0DTE options trading is that traders are sold a product different from what they want. Options contracts are designed for asymmetric risk management; buyers purchase protection against price drops, paying for time value (theta decay). For daily directional speculation traders, this time cost is a waste.

Perpetual futures (perps), on the other hand, offer a more accurate application of simulation theory. As a delta-one product, they directly and proportionally convert price movements into profit and loss—without extra volatility or time cost. If investors’ price predictions are correct, they profit with perps; in options, theta decay can wipe this out. This mathematical advantage is a core reason why DeFi threatens traditional options markets.

From CFDs to On-Chain: Decentralizing the Simulation Economy

In retail markets outside the US, leverage demand is primarily met through CFDs (Contracts For Difference). By 2025, the monthly trading volume of CFD markets exceeded $30 trillion.

CFDs offer linear returns similar to perps. However, the CFD market operates via broker models; most brokers use B-Book models, acting as the direct counterparty to clients. This structure inevitably creates conflicts of interest and market manipulation. Brokers profit from client losses; price manipulation and execution speed tricks are common.

RWA Perps can be viewed as a simulated decentralized version of CFDs. The smart contract-based structure removes the need for the protocol itself to be the counterparty. Funding rate calculations, liquidity mechanisms, oracle pricing—all are transparent on the blockchain. This eliminates traditional CFD broker intervention, offering users true control over their funds and instant settlement.

Challenges of Simulation: Limits of the Physical World

A “impossible triangle” emerges in the product design of RWA Perps. Providing high leverage, 24/7 trading, and risk management simultaneously is feasible for crypto assets but not for traditional assets.

Price Gaps at Market Closures

When Nasdaq or CME close on weekends, oracle data sources are interrupted. During stock market closures, price gaps occur; this creates two main risks in the simulation system.

First risk: Builders cannot hedge. Professional market makers hold neutral positions and profit only from spreads. But when markets are closed, risk transfer channels also shut down. Builders must add enormous risk premiums to their spreads to maintain positions during off-hours; liquidity dries up over the weekend.

Second risk: Price jumps at Monday open. In physical markets, accumulated demand and supply pressures are released suddenly on Monday morning. In crypto, this problem does not exist—prices flow continuously 24/7. But in RWA, the simulation system falls into this gap; liquidity providers suffer significant losses.

Cost of Moving Trading Depth On-Chain

Traditional DEXs with CLOB (central limit order book) models have succeeded for crypto assets. Hyperliquid proved this; market makers use stablecoins to hedge within milliseconds on CEXs, with very narrow spreads.

In RWA, the situation differs. The mismatch between on-chain USDC (T+0) and traditional bank transfers (T+2 or longer) forces market makers to hold large dollar reserves. Over weekends, they cannot hedge, leading to fund flow management between Wednesday and Friday. These simulation errors make it impossible to replicate traditional finance spreads and efficiency on-chain.

System Collapse Under One-Way Market Movements

GMX’s pool model can sustain long-term in crypto because volatility pools offer statistical advantages to LPs. But in traditional assets, the situation is different. Indices like the S&P 500 show years of unidirectional upward trends. If the system is only financed from pool revenues, continuous profits for traders turn into net losses for LPs—eventually leading to system insolvency. The simulation model thus needs external risk transfer mechanisms.

Two Paths in Simulation Design: Pools vs. Order Book

The market has developed two different simulation strategies to address these challenges.

Ostium: Dual-Layer Pool and External Hedge Mechanism

Ostium launched officially on Arbitrum in August 2025. It adopted a pool-based model but recognized the limitations of traditional pools. Its innovative two-layer structure—Liquidity Buffer and OLP Vault—aims to fill the missing piece of the simulation.

The first layer, Liquidity Buffer, is a “fortress wall” accumulated from protocol revenues—trading profits paid out to traders. When exhausted, the second layer, OLP Vault, activates; LPs become direct counterparties.

Ostium’s key innovation is combining A-Book and B-Book models. Like traditional CFD brokers, it hedges high-volume trades externally. This transfers unidirectional risk to real markets; the system is no longer limited by pool size but constrained by external market maker capacity.

For risk control, leverage over 10x is automatically closed on weekends, protecting against Monday gap risks.

Trade.xyz: Oracle Pricing and Continuous Trading

Trade.xyz within the Hyperliquid ecosystem takes a different approach. It uses an order book model based on oracle prices. A chain-based system gradually “drags” prices according to buy-sell pressure (EMA algorithm), maintaining price flow even when markets are closed.

This design preserves the DeFi ideal of 24/7 trading but creates a “shadow market” that can be manipulated when the market is closed—prices can be theoretically influenced. Over weekends, funding rates tend to spike; market makers charge high premiums for the risk of closed markets.

Leading Protocols: Synthetix and Gains Network

Initial experiments with RWA Perps simulation began with Synthetix in 2020-2021. They offered synthetic stocks like sAAPL, sTSLA, promising infinite liquidity based on oracle prices. All SNX stakers became the counterparty pool.

Initially, this model quickly solved liquidity issues; but when oracle data was interrupted during market closures, risk management failed. Synthetix removed most RWA assets after 2021; this was the first clear sign of the simulation’s limitations.

Gains Network (gTrade) adopted a more advanced model. It used a pool-based liquidity system backed by USDC/DAI collateral. To counter extreme market moves, GNS tokens serve as a “last line of defense”; profits generate GNS burns (deflation), losses mint new GNS (reserves).

Pricing relies on Chainlink oracles with fixed spreads. These spreads are distributed to LPs as revenue. Risk controls include price shock fees on large orders and profit-loss limits on positions—detailed risk management.

Gains demonstrated a significant step forward as a decentralized synthetic trading platform; however, its pool-based risk exposure poses long-term challenges. Monday gaps and unidirectional markets threaten models like Gains’ pools.

Why GMX Could Not Use Ostium-Style External Hedging

GMX remains the leader in crypto perpetuals, maintaining its pool model. This design offers mathematical advantages in crypto markets—volatility naturally protects pools.

But for traditional assets, the calculus changes. The long-term upward trend of indices like the S&P 500 makes external hedging less attractive. Concerns about reducing returns and increasing complexity have led GMX, as of 2025, to explore a “Global Hedge Vault”—an external hedging mechanism—indicating a trend toward Ostium-like models among other pool-based projects.

The Future of Simulation: The Industry Paradox of RWA Perps

While RWA Perps have generated over $20 billion in trading volume within 30 days, weekend volume drops by 70-90%. This highlights that DeFi still cannot fully detach from the physical world’s calendar—its simulation remains tied to real-world schedules.

Ostium’s A-Book hedge model and Trade.xyz’s oracle-based simulation offer different ways to overcome this paradox. Ostium absorbs hedging costs but gains system stability; Trade.xyz maintains 24/7 operation but risks disconnecting prices from reality.

From a simulation theory perspective, the success of RWA Perps will depend not on how closely they mimic real financial mechanisms but on how well they solve traditional finance’s flaws via zero-knowledge proofs. Blockchain’s transparency can eliminate the gray areas of centralized CFD brokers, minimizing efficiency losses—that is the core challenge for RWA Perps.