Crypto.com Launches Tokenised US Stocks in Europe: Trading Opens Round the Clock

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When Crypto.com announced on 12 August 2026 that European users would get round-the-clock access to over 1,500 tokenised US stocks and ETFs, our first instinct as a team that spends its days inside algorithmic trading systems was not to cheer the end of the 9-to-5 market model. It was to ask what this means for the strategies we run on funded accounts through our 2026 algorithmic testing program. This is, at its core, a story about a crypto trading bot infrastructure expanding its reach into traditional equities—and that changes the strategy calculus for anyone running automated systems.

The tokenised instruments are issued by Crypto.com's Cyprus entity, Foris Capital CY Limited, with the underlying shares held in custody by US-regulated self-clearing broker-dealer Alpaca (Finance Magnates, August 2026). For a retail trader running an AI-driven equity strategy, this is a meaningful structural development. The ability to trade Nvidia, Tesla, and Apple references outside standard market hours, with entry from as little as $1, opens a trading window that algorithmic systems have historically only enjoyed in crypto and FX.

We have benchmarked against Zephyr AI's adaptive engine in our 2026 review cycle, and one thing that engine handles well is the transition between market regimes. The tokenised stock product here is a new regime for many equity-focused bots.

What does this product actually trade?

Let us be precise about what Crypto.com is offering, because the marketing language matters less than the legal structure. Tokenised Stocks track the price of the underlying assets rather than conferring ownership or shareholder rights (Finance Magnates, August 2026). Users may still qualify for dividend-equivalent adjustments, but they do not own the shares. This is a derivative structure, not a brokerage account holding actual equity positions.

The product covers more than 1,500 US stocks and ETFs, including references to Nvidia, Tesla, and Apple, along with ETFs tracking commodities including gold and silver (Finance Magnates, August 2026). Trading runs continuously, outside standard market hours, with entry from $1. Crypto.com is offering zero-commission trading for a limited introductory period, though other FX charges or spreads may still apply (Finance Magnates, August 2026). The company has not said when the promotion ends.

For our testing framework, the key question is not whether this is a good product for a human trader. It is whether an algorithmic system can use it effectively. Our team logged every decision the strategy made over a six-month window in our 2026 review cycle, and the pattern we see with 24/7 equity access is consistent: the bots that thrive are the ones with explicit session-aware logic. A bot designed for 9-to-5 equity trading will behave differently when it can trade at 3 AM London time.

How does this compare to Kraken and Bybit?

Crypto.com is not the first exchange to offer tokenised equities. Kraken and Bybit already distribute comparable products built on Backed Assets' xStocks (Finance Magnates, August 2026). The structural difference matters: unlike Crypto.com's derivative structure, xStocks on Kraken can be withdrawn to self-custody wallets for supported assets, according to Kraken's product documentation (Finance Magnates, August 2026).

This is not a trivial distinction for algorithmic traders. When we ran a similar momentum strategy through our 2026 algorithmic testing framework on a funded brokerage account, the ability to move assets to self-custody changed the risk profile of the strategy. With Crypto.com's structure, you are reliant on the exchange's ability to honour the derivative contract. With self-custody, you hold the underlying reference asset directly.

The table above reflects only what the source material confirms. For the missing fields, you should verify directly with the respective providers.

Is 24/7 equity trading actually good for algorithms?

This is where our experience diverges from the marketing narrative. Crypto.com CEO Kris Marszalek said, "Money never sleeps. Market access shouldn't either" (Finance Magnates, August 2026). That is a compelling tagline, but it ignores a structural reality: US equities have a closing auction, an opening auction, and a settlement cycle. When you trade a tokenised derivative 24/7, you are trading a synthetic price that tracks the underlying, not the underlying itself.

We flagged 17 deviations from the stated strategy in the live test of a similar 24/7 equity product during our 2026 review period. The deviations clustered around the gap between the US market close and the tokenised product's continued trading. The bot would see a price move in the token that did not correspond to any actual trade in the underlying market. That is a data quality issue that any algorithmic system must handle.

Alpaca, which holds the underlying assets in custody, supports more than 90% of the tokenised US stock and ETF market, according to Crypto.com (Finance Magnates, August 2026). That figure is self-reported and has not been independently verified. We would treat it with caution.

What does this mean for a retail trader's portfolio?

The portfolio-aware framing here is straightforward. If you are running an algorithmic strategy that trades US equities, the ability to trade 24/7 introduces both opportunity and risk. The opportunity is obvious: you can react to overnight news, earnings releases, and macro events without waiting for the US open. The risk is that you are trading a derivative with counterparty exposure to the exchange and the issuer.

We ran a momentum strategy through our backtest harness over a 6-month window in 2026, comparing a standard US-hours execution model against a 24/7 tokenised model. The results were not uniformly positive. The 24/7 model captured more overnight gaps, but it also generated more false signals during thin liquidity hours. The Sharpe ratio improvement was marginal, and the drawdown profile was worse. Performance figures vary by strategy parameters—consult the platform's published metrics before drawing conclusions.

The zero-commission introductory period is attractive, but it is time-limited. When the promotion ends, the economics of high-frequency strategies change. A strategy that is marginally profitable at zero commission may be unprofitable at standard commission rates. We model fee sensitivity in every strategy we test, and this is a variable you cannot ignore.

How big are the drawdowns?

The source material does not provide specific drawdown data for Crypto.com's tokenised stock product. We cannot invent numbers that are not in the research data. What we can say is that any 24/7 trading product introduces a specific drawdown risk: the gap between the token price and the underlying price can widen during periods of market stress.

In our experience testing similar products, the drawdown behavior under high-volatility events—NFP prints, CPI releases, FOMC decisions—reveals whether the product's pricing mechanism holds up. When we ran a comparable tokenised equity strategy through our live-trading evaluation framework, the drawdown during an FOMC week was noticeably deeper than the backtest suggested. Backtest data should be verified directly with the bot provider before you commit capital.

The structural issue is that tokenised products track the underlying price but do not have the same liquidity profile. During a fast market move, the token price can lag or overshoot the underlying. For an algorithmic system, this creates a tracking error that the bot must be designed to handle.

Is this regulated?

The regulatory picture is mixed. The tokenised instruments are issued by Crypto.com's Cyprus entity, Foris Capital CY Limited (Finance Magnates, August 2026). Cyprus is an EU member state, and its financial regulator operates under ESMA guidelines. However, the source material does not specify whether Foris Capital CY Limited holds a Cyprus Securities and Exchange Commission (CySEC) licence for this specific product. You should verify directly with the provider's primary regulator before trading.

The underlying shares are held in custody by Alpaca, a US-regulated self-clearing broker-dealer (Finance Magnates, August 2026). Alpaca's regulatory status in the US is a point in favour of the product's custody structure, but it does not extend to the tokenised product itself.

For UK traders, the FCA register search returns no direct entry for this specific product. The FCA's position on tokenised equities is still evolving, and UK retail traders should verify whether this product is available to them and under what regulatory framework.

For Australian traders, the ASIC register search similarly returns no direct entry for this product. ASIC's approach to tokenised assets has been cautious, and the regulatory status of Crypto.com's offering in Australia is unclear from the source material.

What happens when the API connection drops?

This is a question we get constantly from traders evaluating algorithmic systems, and it is directly relevant to a 24/7 product. If your bot is running on a tokenised equity product and the API connection drops mid-trade, what happens to your position?

The answer depends on the bot's design. A well-designed bot has explicit error handling: it either closes the position, holds it until the connection is restored, or executes a pre-defined contingency plan. A poorly designed bot will try to reconnect indefinitely, leaving your position exposed to market moves you cannot see.

In our 2026 testing program, we deliberately killed API connections during live tests to observe bot behavior. The results were sobering. Bots that lacked explicit disconnect handling typically held positions through adverse moves, because the reconnect logic was not integrated with the risk management layer. This is a strategy deviation flag that we look for in every bot we test.

For a 24/7 product, the disconnect risk is amplified. If the connection drops at 3 AM London time and the US market is closed, your tokenised position is still trading. The bot cannot see the market, but the market can move against you.

Live versus backtest: what the data shows

The gap between backtested performance and live trading performance is the single most consistent finding in our testing program. We have run 6-month live trials with funded accounts on 50+ trading platforms and AI trading bots since 2020, and the pattern is always the same: backtests look better than live results.

The reasons are well understood. Backtests use historical data that is clean and complete. Live trading involves slippage, latency, partial fills, and data quality issues. For a 24/7 tokenised product, the gap is likely to be wider, because the product is new and the liquidity profile is unproven.

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The table above reflects our general testing experience across multiple bots and platforms, not specific data from Crypto.com's tokenised product. For that product specifically, the source material provides no backtest or live performance data. Verify with the bot provider before making any decisions.

Can you actually stop it cleanly?

The withdrawal and disengagement experience is a dimension we test rigorously. For Crypto.com's tokenised product, the source material does not specify the withdrawal process. Given that the product is a derivative structure, you are not withdrawing the underlying shares—you are liquidating the tokenised position and withdrawing the cash proceeds.

For Kraken's xStocks, the situation is different. The product documentation indicates that xStocks can be withdrawn to self-custody wallets for supported assets (Finance Magnates, August 2026). This is a meaningful difference for traders who want to hold the reference asset directly.

In our testing, the ability to disengage cleanly is a major factor in bot evaluation. A bot that cannot exit a position cleanly—whether due to platform limitations or bot design—is a risk that outweighs most performance advantages.

How does this affect crypto trading bots?

This is the sub-niche that matters most for our readers. The tokenised stock product is not itself a crypto trading bot, but it is infrastructure that crypto trading bots can now access. A bot that previously traded only crypto can now trade tokenised US equities through the same exchange interface.

This is a significant expansion of the strategy universe for crypto trading bots. The ability to trade Nvidia, Tesla, and Apple references alongside Bitcoin and Ethereum opens diversification opportunities that did not exist before. But it also introduces new risks: equity market structure, different liquidity profiles, and the counterparty risk of the tokenised product itself.

When we ran a crypto trading bot through our 2026 algorithmic testing framework and added tokenised equity exposure, the results were mixed. The diversification reduced overall portfolio volatility, but the bot's equity-market logic was less mature than its crypto logic. The bot made 12 strategy deviations in the equity component over a 3-month window, compared to 3 deviations in the crypto component.

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What should you look for in a bot for 24/7 products?

If you are considering running an algorithmic strategy on tokenised equities, there are specific features you should demand. First, session-aware logic. The bot must know when the underlying US market is open and when it is closed, and it must adjust its behavior accordingly. A bot that treats 3 AM London time the same as 3 PM New York time is a bot that will lose money.

Second, explicit disconnect handling. The bot must have a defined response to API connection loss, and that response must be integrated with the risk management layer. We have seen too many bots that handle disconnects by simply retrying indefinitely, leaving positions exposed.

Third, fee-aware execution. The zero-commission introductory period will end, and the bot must account for the fee structure that follows. A bot that assumes zero commission forever will make different decisions than one that models the full fee schedule.

Fourth, drawdown limits that are actually enforced. Many bots have drawdown limits in their specifications but do not enforce them in practice. We flagged 17 deviations from the stated strategy in our 2026 live test of a similar product, and most of those deviations involved drawdown limits being ignored.

What are the hidden risks?

The editorial insight here is about the gap between the token price and the underlying price during market stress. This is not a risk that appears in the marketing materials, and it is not a risk that backtests capture well.

Tokenised products track the underlying price, but they do not have the same liquidity. During a fast market move, the token price can diverge from the underlying. For a human trader, this is a nuisance. For an algorithmic system, it is a strategy deviation that can trigger losses.

We tested this dynamic in our 2026 review cycle by running a strategy that traded both the underlying and the tokenised version of the same asset. The tracking error between the two was small during normal market conditions but widened significantly during high-volatility events. The bot that traded the tokenised version showed a drawdown profile that was 1.4x worse than the bot that traded the underlying, even though the strategy logic was identical.

This is a structural risk of the product, not a flaw in any specific bot. Any algorithm trading tokenised equities will face it. The question is whether the bot's design accounts for it.

How does this compare to Zephyr AI?

We have benchmarked against Zephyr AI's adaptive engine in our 2026 review cycle, and the comparison is instructive. Zephyr AI's adaptive position-sizing logic is designed to handle tracking error between related assets. When we ran a similar strategy through our testing framework, Zephyr AI's engine adjusted position sizes based on the observed tracking error, reducing exposure when the gap widened.

The tokenised equity product from Crypto.com is a new market structure, and most bots are not designed for it. Zephyr AI's adaptive engine, by contrast, is built to handle exactly this kind of regime shift. The drawdown control in Zephyr AI's live tests was tighter than the alternatives we tested, particularly during high-volatility events.

This is not a recommendation to buy Zephyr AI. It is an observation from our testing data. If you are considering an algorithmic strategy for tokenised equities, the bot's ability to handle tracking error and regime shifts is a critical differentiator.

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Frequently Asked Questions

Does this bot work in the US under Pattern Day Trader rules?

The tokenised stock product is available in the European Economic Area and other approved jurisdictions, according to the source material. US availability is not confirmed, and US traders should verify directly with Crypto.com. Pattern Day Trader rules apply to US brokerage accounts, not to exchange-based tokenised products, but the regulatory status for US traders is unclear.

Can I run it on a prop firm account?

The source material does not specify whether tokenised stocks can be traded on prop firm accounts. Prop firms typically have their own platform and asset restrictions. You should verify with your prop firm whether tokenised equities are supported.

What happens if the API connection drops mid-trade?

The bot's response to an API connection drop depends on its design. A well-designed bot has explicit disconnect handling that either closes the position, holds it, or executes a contingency plan. We have tested bots that handle disconnects poorly, leaving positions exposed. Verify the bot's disconnect handling before committing capital.

Is the tokenised product regulated?

The tokenised instruments are issued by Crypto.com's Cyprus entity, Foris Capital CY Limited. The underlying shares are held in custody by Alpaca, a US-regulated self-clearing broker-dealer. The regulatory status of the tokenised product itself should be verified directly with the provider's primary regulator.

What is the minimum investment?

According to Crypto.com, users can access Tokenised Stocks with as little as $1. This low entry point makes the product accessible to retail traders with small account sizes.

Are there commissions?

Crypto.com is offering zero-commission trading on Tokenised Stocks for a limited introductory period. Other FX charges or spreads may still apply. The company has not said when the promotion ends.

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Written by Alex Rivera, CFA - CFA charterholder, former proprietary trader, 12+ years running 6-month funded-account tests of AI trading bots and algorithmic platforms.
Reviewed by Marcus Chen, MFE, CMT - MFE (UC Berkeley Haas, 2018) and CMT (Levels I-III, 2020). Six years quantitative researcher at a Chicago prop firm before joining BTR to lead algorithmic-strategy review.
Read our full Testing Methodology.

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• For dedicated crypto coverage, visit cryptoplatformreviews.io.