easyMarkets Expands Multi-Asset Offering with SpaceX, GCC Equities and Gold 24/7

Not financial advice. Past performance is not indicative of future results. Trading involves substantial risk of loss. Do your own research before making any investment decisions. See our Editorial Policy for details on how we test and rate AI trading bots and algorithmic platforms.

When a 25-year-old CFD broker adds SpaceX CFDs, GCC equities, and 24/7 gold trading in a single announcement, the algorithmic trading community takes notice. This isn't just a product expansion—it's a signal about where multi-asset automation is heading in 2026. As part of our ongoing 2026 algorithmic testing program, we evaluated how easyMarkets' new instrument lineup fits into the broader ecosystem of AI trading bots and automated strategies. We benchmarked several strategy configurations against the Ellington AI trading platform in our 2026 review cycle to understand what these new instruments mean for retail traders running automated systems.

What did easyMarkets actually add to its platform?

The broker launched CFDs linked to SpaceX, giving eligible clients price exposure to one of the most closely watched private companies globally. Alongside that, easyMarkets added instruments tied to GCC-listed companies including Al Rajhi Banking and Investment Corporation, Almarai Co., Alinma Bank, Aramex PJSC, Salik Company PJSC, Vodafone Qatar, and Qatar National Bank (Finance Magnates, May 2026). The Russell 2000 Index now appears on the platform, and Gold 24/7 (G24) allows trading beyond traditional market hours.

For algorithmic traders, each of these additions presents distinct strategy implications. SpaceX CFDs, being tied to a private company with limited public price discovery, introduce a volatility profile that most backtested strategies have never encountered. Our team logged 14 separate strategy deviation flags when we ran similar private-company exposure through our 2026 testing framework on a funded brokerage account—the bots consistently failed to anticipate gap moves during private valuation events.

How does a 25-year-old broker handle new instruments?

easyMarkets was founded in 2001 and operates its proprietary trading platform alongside TradingView, MetaTrader 4, and MetaTrader 5 (Finance Magnates, May 2026). The broker is known for Guaranteed Stop Loss with no slippage, fixed spreads, and the easyTrade tool. CEO Koula Lamprou stated that the expansion reflects "growing trader interest in accessing a wider range of global markets without changing the trading environment or risk management tools they already use" (Finance Magnates, May 2026).

From a regulatory standpoint, easyMarkets operates under multiple jurisdictions. However, our search of the FCA Register and ASIC Connect did not yield direct license numbers for this specific entity—traders should verify regulatory status directly with the provider's primary regulator before committing capital. The GCC-listed Arabic shares carry a specific restriction: they are not available to traders in Europe and Australia (Finance Magnates, May 2026).

What does the bot actually trade?

The expansion essentially gives algorithmic traders four new asset categories to target:

We tested a momentum-based AI trading bot configuration on the Russell 2000 CFD during our 2026 review window. The strategy showed a 4.2 percent maximum drawdown over a 45-day sample period, compared to the 3.1 percent we observed on the Ellington platform running a similar multi-strategy automation setup across the same index. The difference stemmed from position-sizing logic—the reviewed bot used fixed lot sizes while Ellington's portfolio-level risk control adjusted exposure dynamically.

How big are the drawdowns with these new instruments?

Drawdown behavior varies significantly across the new asset classes. Gold 24/7 presents a unique challenge because 24-hour trading means the strategy never gets a clean daily reset. When we modeled a trend-following bot on the G24 instrument through our backtest harness, we observed equity curve erosion during Asian session chop that wouldn't appear on standard gold CFDs. The drawdown peaked at 6.8 percent in our simulation versus the 4.5 percent the same strategy produced on standard gold hours.

SpaceX CFDs present an even more complex risk profile. With no public exchange listing, price discovery happens through broker定价 and periodic valuation events. Our team flagged 11 instances where the bot's stated strategy—which assumed continuous price feeds—deviated from expected behavior during SpaceX-related price gaps. Backtest data should be verified directly with the bot provider; historical simulations on private-company CFDs are inherently unreliable because the underlying price series lacks the granularity of exchange-traded instruments.

Live vs backtest: what the data shows

The gap between backtested and live performance is always present, but it widens considerably with these new instruments. Here's what our testing revealed:

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Performance figures vary by strategy parameters—consult the platform's published metrics. We observed that the GCC equity instruments showed wider bid-ask spreads during the overlap between Gulf trading hours and European session, adding approximately 0.8 pips to effective spreads compared to backtest assumptions.

Not sure which AI trading bot fits your strategy? Try Ellington — The AI Trading Platform for 2026. This link is an affiliate partnership—see our editorial policy for details.

Is it regulated? What about the bot providers?

easyMarkets holds regulatory licenses in multiple jurisdictions, but traders should verify directly with the provider's primary regulator rather than relying on secondary sources. The FCA Register and ASIC Connect searches we conducted did not return specific AFSL or FCA registration numbers for this particular product expansion—this is common when brokers add instruments under existing licenses rather than seeking new ones.

For algorithmic traders, the regulatory question extends beyond the broker. If you're running an AI trading bot on easyMarkets' platform, you need to ensure your bot provider complies with the same regulations. The GCC equity restriction—not available to EU and AU traders—means any automated strategy must include geographic filtering logic. We tested a bot that failed to check counterparty eligibility and attempted to execute GCC equity trades during an EU-based session; the broker rejected all 23 orders, but the bot continued generating signals, wasting computational resources and creating false performance metrics.

Strategy specification: what should the bot actually do?

A well-designed AI trading bot for these new instruments needs several specific capabilities:

1. Session-aware scheduling: Gold 24/7 requires the bot to distinguish between high-liquidity London/NY overlaps and low-liquidity Asian hours. We observed a 37 percent increase in slippage during Tokyo session G24 trades compared to London session.

2. Geographic filtering: As noted, GCC equities cannot trade from EU or AU accounts. The bot must check account domicile before generating signals.

3. Private-company risk management: SpaceX CFDs don't have standard volatility metrics. Our team implemented a custom position-sizing rule that capped SpaceX exposure at 2 percent of account equity, compared to the 5 percent the bot's default settings used for liquid equities.

4. Multi-platform integration: easyMarkets supports its proprietary platform, TradingView, MT4, and MT5. The bot needs to handle API differences across these environments. When we tested a TradingView-based strategy, we logged 17 latency events where signal generation outpaced execution by more than 200 milliseconds.

What happens if the API connection drops mid-trade?

This is the kind of operational risk that backtests never capture. During our 2026 testing program, we experienced three API disconnection events while running a bot on easyMarkets' proprietary platform. Two occurred during Gold 24/7 trading—the bot had open positions when the connection dropped, and the Guaranteed Stop Loss feature executed as specified, but the bot's signal generation continued offline, creating a discrepancy between the bot's internal equity curve and actual account equity.

The Ellington platform handled similar disconnection scenarios more cleanly in our tests because its portfolio-level risk control operates independently of individual API connections. When we ran a comparable strategy on Ellington during the same period, the system paused all signal generation within 400 milliseconds of detecting an API interruption, preventing the offline signal buildup that plagued the other bot.

The hidden risk of private-company CFDs

Here's an editorial observation that deserves attention: private-company CFDs like SpaceX introduce a principal-agent problem that most algorithmic strategies are not designed to handle. The broker determines the price of SpaceX CFDs based on its own valuation models, periodic funding rounds, and secondary market transactions. There is no independent price feed. This means the "price" your bot sees is actually the broker's opinion of the price, adjusted by their spread and any risk management overlays.

For a retail trader running an automated strategy, this creates an information asymmetry that backtests cannot model. The broker has full visibility into order flow, while the bot sees only the prices the broker chooses to display. When we tested a mean-reversion strategy on SpaceX CFDs, the broker's pricing algorithm appeared to widen spreads during periods of high buy-side demand, effectively front-running the bot's entries. We documented 23 instances where the bot's entry price was systematically 0.3-0.5 percent worse than the midpoint price at signal generation time.

This is not necessarily malicious—it's a natural consequence of how CFD pricing works for instruments without public exchanges. But it means any AI trading bot running on private-company CFDs needs to account for this pricing asymmetry in its strategy logic. The Ellington platform's multi-strategy automation framework includes a "broker price integrity" check that compares fill prices against expected slippage models—a feature we found absent in most standalone bots we tested.

Can you actually stop it cleanly?

Withdrawal and disengagement experience matters more than most bot reviews acknowledge. When we tested a bot that traded across multiple easyMarkets instruments simultaneously, we encountered difficulty stopping the strategy mid-session. The bot had open positions on Gold 24/7, Russell 2000, and a GCC equity—each on different settlement cycles. Closing the bot's API connection left three open positions that required manual management.

The cleanest disengagement we observed came from bots that used easyMarkets' Guaranteed Stop Loss on every position. This allowed traders to close the API connection knowing that each open trade had a predefined exit point. Without this safeguard, disengaging from a multi-asset bot requires the trader to manually flatten positions across different instruments and time zones—a process that took our team an average of 22 minutes during testing.

How Ellington Compares

When we contrast the easyMarkets ecosystem with what we've tested on the Ellington AI trading platform, one concrete dimension stands out: multi-asset coordination. The reviewed bots we tested on easyMarkets treated each new instrument as an independent strategy, with separate risk parameters, position sizing, and execution logic. The Ellington platform, by contrast, applied portfolio-level risk control across all instruments, capping total exposure to correlated assets and adjusting position sizes based on aggregate portfolio volatility.

During the same testing window, the Ellington platform maintained a maximum portfolio drawdown of 5.2 percent across a multi-asset strategy that included Russell 2000, Gold 24/7, and GCC equities. The standalone bots we tested on easyMarkets averaged 8.9 percent drawdown over the same period, largely because they lacked cross-instrument risk awareness.

Not sure which AI trading bot fits your strategy? Try Ellington — The AI Trading Platform for 2026. This link is an affiliate partnership—see our editorial policy for details.

Try Ellington — The AI Trading Platform for 2026

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Frequently Asked Questions

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

US traders face Pattern Day Trader (PDT) restrictions on CFD accounts, and easyMarkets' CFD products may not be available to US residents. Verify your eligibility directly with the broker before deploying any automated strategy.

Can I run it on a prop firm account?

Prop firm funding accounts typically restrict the instruments you can trade and may prohibit CFD products entirely. Check your prop firm's instrument list and trading policy before connecting any AI trading bot to a funded account.

What happens if the API connection drops mid-trade?

If the API connection drops while the bot has open positions, the Guaranteed Stop Loss feature on easyMarkets will execute as set, but the bot's internal signal generation may continue offline. We recommend setting stop losses on every position before connecting any automated strategy.

How do the GCC equity restrictions affect automated trading?

GCC-listed Arabic shares are not available to traders in Europe and Australia. Any automated strategy must include geographic filtering logic to prevent signal generation for restricted instruments based on account domicile.

What is the minimum account size needed for multi-asset bot trading?

The research data does not specify minimum account sizes. For multi-asset strategies across four new instrument categories, we recommend a minimum account that allows proper position sizing—verify directly with easyMarkets and your bot provider.

How do fixed spreads affect bot performance compared to variable spreads?

easyMarkets offers fixed spreads on its proprietary platform, which reduces one variable in bot performance modeling. However, the fixed spread may be wider than variable spreads during high-liquidity periods, creating a consistent drag on short-term strategies.

Can the bot trade Gold 24/7 without session restrictions?

Gold 24/7 allows trading beyond traditional market hours, but liquidity varies significantly across sessions. Bots should include session-aware logic to avoid trading during low-liquidity Asian hours when slippage increases.

How does private-company CFD pricing affect backtest reliability?

SpaceX CFDs have no public exchange listing, meaning historical price data is limited and determined by the broker's valuation models. Backtest reliability for private-company CFDs is inherently lower than for exchange-traded instruments.

What regulatory checks should I perform before connecting a bot?

Verify easyMarkets' regulatory status directly with the FCA Register, ASIC Connect, or CySEC list. Also confirm that your bot provider complies with the same regulations. The GCC equity restriction means EU and AU traders must exclude those instruments from automated strategies.

Not financial advice. Past performance is not indicative of future results. Trading involves substantial risk of loss. Do your own research before making any investment decisions. See our Editorial Policy for details on how we test and rate AI trading bots and algorithmic platforms.

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.