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History of TradFi Perpetuals on Crypto Exchanges: Precedents, Problems, and Solutions
TradFi perpetuals on crypto exchanges promised 24/7 access to stock and commodity prices with leverage. Instead, they delivered a chronicle of depegs, regulatory crackdowns, oracle failures, and cascading liquidations. This analysis breaks down the precedents—from Mirror Protocol and Synthetix to Binance and FTX tokenized stocks—and explains the mechanics, vulnerabilities, and regulatory contours of RWA derivatives.
RWA derivatives are financial contracts whose price is tied to tokenized real-world assets: stocks, bonds, ETFs, or commodities. Unlike spot tokens, they do not involve physical delivery of the underlying asset but instead provide only synthetic exposure to its price.
The most massive segment is financial RWA derivatives in the form of perpetual futures (perpetuals). They allow opening long and short positions with leverage 24/7, using stablecoins or crypto collateral, and essentially replicate the logic of crypto perpetuals on BTC/ETH, but on underlying assets of the traditional market.
However, behind the external simplicity lies a number of sensitive nuances. The holder of a perpetual does not become the owner of a stock or commodity, does not receive dividends or corporate rights, and their claim is directed not to the issuer but to the smart contract or exchange. Pricing, funding rates, and the liquidation mechanism depend on oracles, market depth, and platform rules, which can behave unpredictably in stress scenarios.
At the same time, it is important to distinguish between two classes of products. A collateralized tokenized instrument is linked to real stocks or other assets that must be held with a custodian or financial intermediary. A synthetic asset does not provide such a claim: it merely tracks the price of the underlying asset through collateral, oracles, and smart contracts.
That is precisely why the history of TradFi perpetuals on crypto exchanges is not only a chart of volumes but also a chronicle of regulatory conflicts, technical failures, and structural vulnerabilities. An analysis of these precedents helps to understand which risks have already materialized and what needs to be changed so that the next growth cycle does not repeat the mistakes of the past.
Precedents of the Previous Generation
The main vulnerability of the early DeFi segment was the attempt to recreate the prices of real assets through overcollateralization with volatile cryptocurrency, without physically purchasing the underlying instrument.
Mirror Protocol (Terra) | 2020–2022. The protocol issued mAssets tokens (tracking Apple, Tesla, and other stocks), collateralized by the algorithmic stablecoin UST. Cause of collapse: Technical interconnection with unstable collateral. In May 2022, the depeg (loss of parity) of UST instantly made the system insolvent, devaluing all synthetic stocks.
Synthetix (Ethereum/Optimism) | Until mid-2026. The protocol offered sTokens collateralized by the native SNX token. The model suffered from chronic problems with maintaining price pegs and harsh regulatory pressure. Outcome: In 2026, the SEC finally classified such instruments as third-party-sponsored synthetic tokenized securities (unregistered securities). In June 2026, the project's DAO officially voted to liquidate the sUSD stablecoin and completely abandon the synthetic structure.
Another good example was the attempt by major crypto exchanges to sell traditional stocks within their ecosystems, bypassing classic exchange infrastructure.
Binance and FTX Tokenized Stock Programs | 2020–2022. The exchanges offered clients the purchase of digital tokens tied to the value of US stocks, but without granting investors shareholder rights (voting, dividends).
Outcome and regulatory crackdown:
Binance closed the direction in July 2021 after direct warnings from European (BaFin, FCA) and American (SEC) regulators about violations of securities laws.
FTX wound down this product under supervisory pressure at the end of 2021, shortly before its bankruptcy.
Binance and FTX offered tokens collateralized by real stocks held with partners (CM-Equity AG), but the holder received neither shareholder rights, including voting, nor the right to demand delivery of the security—only a cash or crypto payment in the amount of the equivalent, including dividends. In economic essence, this is a derivative instrument with collateral (Scharnowski, 2026). Regulatory claims concerned placement without a prospectus and license, not the synthetic nature (FXStreet; Euronews).
The next notable example is the Goldfinch precedent (DeFi lending) | 2023–2024. The protocol allowed crypto investors to issue loans to pools of borrowers from developing countries. Cause of the crisis: Transfer of classic credit risks onto the blockchain without proper verification. A series of major defaults on the part of borrowers (for example, Tugende and Stratos for amounts exceeding $5 million) showed that smart contracts are unable to recover money from the real world if the off-chain business goes bankrupt.
Mechanics and Its Vulnerabilities
The technical implementation of TradFi perpetuals on crypto exchanges reproduces the logic of classic crypto futures but superimposes it on assets with a different liquidity structure, trading schedule, and price sources. Below—for each element: how it is structured and where it breaks.
Price Source: Where the Quote Comes From and What Happens on Failure
The price of the underlying asset (stock, ETF, commodity) for calculating the mark price of a perpetual is taken from one or several price feeds:
Spot exchanges/aggregators (for example, stock prices from NASDAQ/NYSE via partner feeds, commodity data from LME/COMEX or spot venues);
Oracles (Chainlink, Pyth, API3, and analogues) in the case of DEX protocols;
Internal exchange indices averaging several external sources.
The mark price is used to calculate PnL, margin call triggers, and liquidations.
Where it breaks.
Divergence of sources: if different feeds give substantially different prices (for example, during non-trading hours of the underlying market or during volatility), the mark price may deviate from the "real" price of the asset. This creates the risk of false liquidations or manipulation through one of the sources.
Source failure: upon loss of a feed (technical failure, license revocation, API block), the protocol is forced either to freeze trading or switch to a backup source, which can cause a price spike and a chain reaction of liquidations.
Oracle manipulation: in the DEX model, an attack on the oracle (for example, through price manipulation on a low-liquidity spot venue) allows artificially lowering/raising the mark price and initiating liquidations advantageous to the attacker.
Funding Rate: Peg to the Base and Behavior in the Absence of Quotes
The funding rate is a periodic payment between long and short positions, designed to keep the perpetual price close to the underlying asset price:
If the perpetual trades above the base (premium), longs pay shorts;
If below the base (discount), shorts pay longs.
The calculation is usually tied to the price index of the underlying asset and occurs every 4–8 hours (depending on the platform).
Where it breaks.
Absence of base quotes: during non-trading hours or when trading of the underlying asset is suspended, the price index may freeze or become unrepresentative. In this case, the funding rate may cease to perform the peg function, and the perpetual price drifts away from the base.
Extreme values: during sharp market movements, the funding rate can reach anomalously high values (for example, +0.5% per 8 hours and higher), which makes holding a position extremely expensive and provokes mass closing of positions.
Manipulation through funding: in conditions of low liquidity, large players can artificially drive up the premium/discount to force the opposite side to pay extreme funding and close positions.
Forced Position Closure: Thresholds, Cascades, Insurance Fund
When the price moves against a position, its collateral (margin) decreases. Upon reaching the liquidation threshold (maintenance margin), the position is forcibly closed:
Liquidation: the position is sold at market (or via auction) to cover the loss.
Insurance fund: if the position is closed with a deficit (execution price worse than the bankruptcy price), the loss is covered from the platform's insurance fund.
Auto-deleveraging (ADL): when the insurance fund is exhausted, losses are distributed among profitable counterparties through forced partial closing of their positions (ADL).
Where it breaks.
Cascade effect: during a sharp price movement (for example, on news or a gap at the opening of the underlying market), many positions reach the liquidation threshold simultaneously. This causes a chain reaction: mass selling amplifies the price movement, leading to new liquidations.
Slippage and "tails": in conditions of low liquidity, a position may be closed at a price significantly worse than the calculated one, which increases the deficit and the burden on the insurance fund.
Exhaustion of the insurance fund: if losses exceed the fund's reserves, the platform is forced to launch ADL, distributing losses to profitable traders. In extreme scenarios, this can lead to partial or complete zeroing of profitable positions.
Market Depth: Liquidity Providers and the Risk of Its Contraction
Liquidity in TradFi perpetuals is provided by:
Market makers (professional participants obligated to maintain spread and depth);
Arbitrageurs (link the perpetual price to the underlying asset by trading on spot and derivatives);
Retail and institutional traders (provide limit orders in the order book).
Where it breaks.
Liquidity contraction: during periods of stress (news, volatility, outside trading sessions), market makers and arbitrageurs may leave the market, sharply reducing depth. This increases spreads, slippage, and the risk of manipulation.
Dependence on key players: on some platforms, a significant portion of liquidity is controlled by several large MMs. Their departure or technical problems can lead to a collapse in depth and halt normal order execution.
Execution under low liquidity: when depth contracts, limit orders are executed partially or not at all, and stop orders trigger with large slippage, which increases traders' losses.
Regulatory Contour: A Double-Edged Sword
The regulatory qualification of a TradFi perpetual depends on its specific structure. The presence of a tokenized underlying asset does not mean automatic application of a single regime, and the absence of physical delivery does not always turn the product into an unregulated crypto asset. The instrument may fall under the regime of a security, derivative, CFD, swap, or futures. Let us consider several examples:
European Union
In the EU, it cannot be stated that ESMA automatically classified all perpetuals on stocks and ETFs as CFDs. The regulator requires firms to conduct a thorough legal analysis of each product to determine whether it falls within the scope of the relevant measures.
For instruments possessing the characteristics of CFDs or other financial derivatives, MiFID II requirements and national product intervention measures may apply. Existing restrictions on retail CFDs are based primarily on measures of national competent authorities adopted taking into account the temporary ESMA measures of 2018.
If a product falls under the retail CFD regime, the maximum leverage level depends on the category of the underlying asset:
30:1 for major currency pairs;
20:1 for non-major currency pairs, gold, and major stock indices;
10:1 for commodities other than gold, and non-major stock indices;
5:1 for individual stocks and other underlying assets for which a separate category is not established;
2:1 for crypto assets.
Therefore, for RWA perpetuals, a universal 2:1 limit cannot be used. For tokenized stocks and commodity assets, the applicable restrictions may be different if the specific product is indeed qualified as a CFD.
Other protective measures include:
mandatory closing of positions when margin falls to a set level;
negative balance protection;
standardized risk warning;
restrictions on incentive bonuses.
These requirements make the product safer for the retail client but simultaneously reduce the attractiveness of high leverage and complicate the launch of such instruments on regulated venues.
USA
In the US, there is no universal rule establishing a leverage limit of up to 10x for all TradFi perpetuals. The specific regime depends on the underlying asset, contract structure, venue, and method of client access.
An illustrative example relates to CFTC staff letter No. 26-17 dated May 29, 2026. In it, certain Deribit perpetuals were qualified as "foreign futures" within the meaning of Regulation 30.1. The document also provided no-action relief for a structure in which Coinbase Financial Markets, a registered FCM, mediates client access through a foreign broker to a foreign trading venue.
This example shows not the existence of a general American regime for all perpetuals and not a fixed leverage limit, but the possibility of applying existing legislation on foreign futures to a specific product structure.
Perpetuals on tokenized stocks and ETFs may additionally touch upon the securities regime or security-based swaps. Therefore, for them, legal qualification, the status of the trading venue, registration of intermediaries, and client protection rules are especially important.
Singapore
In Singapore, the Monetary Authority of Singapore, or MAS, restricts the possibility of providing retail clients with margin access to cryptocurrency derivatives.
For traditional financial intermediaries, licensing, risk management, and client protection requirements apply. The correct name of the relevant license is CMS, not CMSL.
In practice, requirements for margin, eligible collateral, and risk disclosure may make high leverage unavailable to the majority of non-qualified investors. However, this does not mean a complete ban on all TradFi perpetuals or a universal prohibition of trading them for retail: the conclusion must be tied to the specific product, the intermediary's license, and the client's status.
Infrastructure Requirements
Requirements for central clearing, pre- and post-trade transparency, registration of venues as DCM or SEF, and control of intermediaries make the market safer but increase the cost of launching it.
For decentralized protocols without a central counterparty, this creates a particularly difficult problem. DEX perpetuals may not fit into the traditional infrastructure of clearing, reporting, and client protection, but this does not automatically mean that they are outside legal regulation. Their status depends on the specific jurisdiction, interface, developers, operators, and economic structure of the product.
Finally, banking standards, including Basel III and national risk management rules, may establish increased capital requirements for counterparty risk on crypto derivatives. This makes such positions economically less attractive for banks and large financial institutions.
As a result, regulatory protection of retail can simultaneously increase the resilience of the market and reduce its commercial attractiveness. The product becomes safer for the client but loses part of the high leverage and flexibility that ensured demand on offshore crypto venues.
How to Reduce Risks
Several practical solutions follow from the cases considered.
First, platforms must clearly separate collateralized tokenized securities and synthetic derivatives. For the first category, it is necessary to disclose the custodian, the legal link to the asset, the reserve verification procedure, and the redemption mechanism. For the second—describe the price calculation formula, the design of oracles, the collateral model, and the liquidation rules.
Second, it is impossible to use a single price source without a backup scenario. The platform must have several independent feeds, rules for determining outliers, a delay before applying sharp changes, and a procedure for halting trading upon loss of a reliable quote.
Third, the 24/7 regime must take into account the schedule of traditional markets. If the underlying asset does not trade at night or on weekends, the platform is obligated to disclose in advance how the index, funding rate, margin, and liquidations are calculated during this period.
Fourth, it is necessary to limit the influence of large participants on price and liquidity. For this, concentration limits, circuit breakers, auctions during stress events, independent price calculation mechanisms, and requirements for market makers are used.
Fifth, the insurance fund should not be the only protection mechanism. The platform needs stress tests, dynamic margin requirements, independent reserve control, and transparent ADL rules.
Sixth, collateralized tokens require regular reserve confirmation. A single issuer statement is not enough: the investor needs an independent audit, custodian reporting, and the ability to compare the number of issued tokens with the volume of underlying assets.
Frequently Asked Questions (FAQ)
How do perpetuals on tokenized stocks relate to prediction markets?
Perpetuals provide continuous price exposure to an asset with margin collateral, whereas prediction markets are usually settled by a binary or event outcome (for example, "will the stock reach $X by date Y"). Perpetuals are closer to CFDs, prediction markets—to bets on an outcome.
Can RWA perpetuals be used to hedge a portfolio of real stocks?
Technically yes: a short position in a perpetual can offset losses on a long stock portfolio during a market decline. However, the absence of corporate rights, the risk of liquidations, and the divergence of the mark price from the base make such a hedge less reliable than classic futures with a CCP.
How do perpetuals on tokenized commodities (gold, oil) differ from ETFs on the same assets?
ETFs give a share in a fund owning the physical commodity or futures contracts, with daily net asset value and regulatory protection. Perpetuals are derivatives without a right to the commodity, with a funding rate, 24/7 trading, and platform counterparty risk, but without expiration and ETF management fees.
