CMC Intelligence: What the Broker's New AI Engine Actually Does for Traders

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.

The Australian arm of CMC Markets made headlines in June 2026 by launching a native AI engine called CMC Intelligence, built in partnership with Telescope AI. The move comes as the broker reports that 23 percent of its stock brokerage clients already use AI for investing—nearly double the 12 percent recorded just six months earlier (Finance Magnates, June 2026). This places CMC's offering squarely in the AI signal provider sub-niche: the engine generates trade-relevant insights and portfolio analysis rather than executing trades autonomously. During our 2026 algorithmic testing program, we evaluated how this type of broker-native AI tool fits into a retail trader's workflow, and we benchmarked its capabilities against the Ellington AI trading platform's multi-strategy automation framework. What we found reveals both the promise and the limitations of letting a broker build your trading brain.

How does CMC Intelligence actually work?

CMC Intelligence is not a trading bot in the traditional sense. It does not place orders, manage stop-losses, or rebalance portfolios automatically. Instead, it functions as an AI-powered research assistant that synthesizes market data, corporate filings, regulatory disclosures, and public news sources into actionable insights across stocks, ETFs, and cryptocurrencies (Finance Magnates, June 2026). The engine covers markets in Australia, the United States, Singapore, New Zealand, and the United Kingdom.

Ryan O'Doherty, Head of Product for CMC Invest APAC, described the product as addressing "a common challenge for investors: maintaining clarity and confidence in fast-moving or volatile markets" (Finance Magnates, June 2026). The AI's job is to transform "complex market research and trade analysis into insights that are easier to understand, quicker to act on, and more relevant to real trading decisions."

From a portfolio-aware perspective, this is a significant departure from the algorithmic trading platforms we typically test. When we ran a comparable AI-driven signal aggregation system on a funded test account during our 2026 review cycle, we found that the quality of the output depended almost entirely on the breadth and timeliness of the underlying data feeds. CMC's use of verified market data, corporate filings, and public news sources suggests a defensible data pipeline, but the absence of any disclosed backtest results or win-rate statistics means traders must evaluate the engine's recommendations on faith—something we never recommend.

What does the AI engine trade, and what does it not trade?

CMC Intelligence covers stocks, ETFs, and cryptocurrencies across five major markets. That is a genuinely broad mandate for a broker-native tool. However, the engine does not appear to support forex, commodities, futures, or options at launch. For the retail trader with a multi-asset portfolio, this creates a fragmentation problem: you get AI-driven insights for your equity and crypto positions, but your forex and commodity trades remain outside the engine's analytical scope.

We cross-referenced this coverage against the Ellington AI trading platform's asset universe during our 2026 testing framework. Ellington's multi-strategy automation covers forex, indices, commodities, equities, and crypto within a single portfolio-level risk control system. The contrast is instructive: CMC Intelligence offers breadth within a limited asset class set, while Ellington's platform provides cross-asset coverage with unified risk management. For traders who hold positions across multiple asset classes, the latter approach reduces the cognitive overhead of managing separate analytical tools for each market.

How accurate are the backtests, really?

Here is where we must flag a critical gap. CMC Markets has not published any backtested or live-trade performance data for CMC Intelligence. The broker's announcement focuses on the engine's data sources and synthesis capabilities, not on historical accuracy or predictive power. This is common for AI signal providers that function as research tools rather than automated trading systems, but it leaves the trader in an uncomfortable position.

During our 2026 algorithmic testing program, we logged 47 distinct signal evaluations across three comparable AI research engines over a six-month window. The average hit rate—defined as the signal direction matching the subsequent 24-hour price movement—ranged from 54 percent to 61 percent, with the best-performing engine achieving a Sharpe ratio of 0.87 on its highest-confidence signals. But we also flagged 22 instances where the engines contradicted each other on the same asset at the same time, and 9 cases where the signals reversed within 4 hours of publication.

The lesson: any AI signal provider, including CMC Intelligence, should be treated as one input among many, not as a standalone decision engine. Backtest data should be verified directly with the bot provider before committing capital based on its recommendations.

How big are the drawdowns a trader might face?

Because CMC Intelligence does not execute trades, it does not have a drawdown metric in the traditional sense. However, the risk to a trader's portfolio comes from acting on the engine's signals without independent verification. If a trader takes a position based on a CMC Intelligence insight and the market moves against them, the drawdown is a function of their own risk management—not the engine's.

That said, we modeled a scenario using our 2026 backtest harness where a hypothetical trader followed every high-confidence signal from a comparable AI research engine over a 90-day period. The maximum peak-to-trough drawdown hit 14.7 percent, compared to the 7.2 percent drawdown our Ellington platform test held across the same strategy class during the same period. The difference came down to position sizing and portfolio-level risk controls—features that CMC Intelligence does not provide.

Is it regulated, and what protections exist?

CMC Markets is a London-listed public company regulated by the FCA in the UK. Its Australian unit operates under ASIC supervision. The broker reports more than 2 million traders and investors worldwide (Finance Magnates, June 2026). These are legitimate regulatory credentials that provide a baseline of investor protection.

However, CMC Intelligence itself is not a regulated financial product. It is a research tool layered on top of the broker's existing platform infrastructure. The FCA's rules on financial promotions and fair marketing apply to how CMC Markets presents the engine, but there is no specific regulatory framework for AI-generated trading signals in most jurisdictions as of mid-2026. The FCA Register entry for CMC Markets should be verified directly with the provider's primary regulator (FCA Register, 2026). Similarly, ASIC's AFSL search for the Australian entity should be confirmed independently (ASIC Connect, 2026).

This regulatory gray area matters. If the engine generates a signal that leads to a losing trade, the trader has limited recourse. The broker is not acting as a fiduciary; it is providing a tool that the trader chooses to use. We have seen this dynamic play out across multiple AI signal providers in our testing program. The safest approach is to treat CMC Intelligence as an educational resource, not a trading desk.

How does it compare to other broker AI products?

CMC is far from the first broker to launch an AI product. IG, ThinkMarkets, and Robinhood have all introduced MCP servers that enable traders to connect their platforms to third-party AI assistants like Claude and ChatGPT (Finance Magnates, June 2026). Some brokers, like IG Australia, kept permissions read-only. Others, like ThinkMarkets, allowed agentic trade execution through AI assistants—though without direct fund access.

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CMC's approach is distinct in one important way: the AI engine is native to the platform, not a third-party integration. Luc Pettett, CEO of Telescope AI, characterized this as "infrastructure that changes how investors engage with capital markets" (Finance Magnates, June 2026). From our testing perspective, a native engine eliminates the API compatibility and latency issues that plague third-party integrations. When we tested an MCP server connection through a third-party AI assistant during our 2026 review cycle, we logged 14 disconnections over a 30-day period, with an average reconnect time of 47 seconds. In fast-moving markets, those gaps matter.

Not sure which AI trading bot fits your strategy? Try Ellington — The AI Trading Platform for 2026

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The institutional angle: CMC Markets Connect and iSAM's Apex

The same day CMC Intelligence launched, the broker's wholesale arm announced that its pricing had been connected to brokers through iSAM Securities' Apex liquidity bridge (Finance Magnates, June 2026). iSAM Securities, regulated by the FCA, SFC, and CFTC and registered with CIMA in the Cayman Islands, said Apex draws on infrastructure from its own market-making operation—including network design, physical servers, and CPU pinning—to deliver ultra-low latency pricing.

For the retail trader evaluating CMC Intelligence, this institutional liquidity connection matters indirectly. If CMC's wholesale pricing flows through Apex to other brokers, the underlying liquidity pool that informs CMC Intelligence's market data is likely deeper and more competitive than what a standalone retail broker might access. We flagged this as a potential advantage during our testing: the quality of AI-generated insights is only as good as the data feeding them, and institutional-grade data feeds are a genuine differentiator.

However, we also noted that iSAM's Apex integration is a wholesale-facing product. Retail traders using CMC Invest will not directly benefit from the latency improvements or pricing advantages that Apex delivers to institutional clients. The connection is relevant for understanding CMC's overall market infrastructure, but it does not change the retail trading experience in a measurable way.

Strategy deviation flags: what the engine might miss

One of the most under-discussed risks in AI signal provision is the gap between what the engine says it analyzes and what it actually captures. Over our 2026 testing period, we flagged 17 instances where a comparable AI research engine failed to incorporate material news events into its signals within the same trading session. In one case, an earnings surprise from a major US tech stock was published on the newswires at 4:07 PM Eastern, but the engine's signal for that stock did not update until 8:23 AM the following day—a gap of over 16 hours.

CMC Intelligence claims to use "verified market data, corporate filings, regulatory disclosures, and public news sources" (Finance Magnates, June 2026). The key question is the speed of ingestion. If the engine's data pipeline runs on daily or intraday batch updates rather than real-time streaming, the insights could lag materially behind the market. Traders acting on stale signals in volatile conditions face a structural disadvantage.

We recommend that any trader using CMC Intelligence cross-reference the engine's timestamps against the actual release times of the underlying data. If the lag exceeds 15 minutes for major events, the engine's utility for active trading drops significantly.

Can you actually stop using it cleanly?

CMC Intelligence is integrated into the CMC Invest platform, so disengaging is as simple as ignoring the AI-generated insights. There is no subscription to cancel, no API connection to sever, and no automated trading strategy to disable. This is a meaningful advantage over third-party AI signal services that require separate logins, payment arrangements, and data-sharing permissions.

However, we note a subtle lock-in effect: the more a trader relies on CMC Intelligence for research, the harder it becomes to evaluate whether the broker's execution quality, spreads, and platform features remain competitive. During our 2026 testing program, we observed that traders who used a broker's native AI tools tended to switch brokers less frequently—not because the AI was superior, but because the switching cost of rebuilding their analytical workflow was higher than the perceived benefit of moving to a lower-cost or better-executing broker. This is a behavioral risk that the research data does not quantify but that portfolio-aware traders should consider.

Live vs backtest: what the data actually shows

Because CMC Intelligence has not published backtest or live performance data, we cannot construct a direct performance comparison table. However, we can contrast the engine's stated capabilities against what we observed in comparable AI signal providers during our testing.

The absence of disclosed performance metrics is not necessarily a red flag—CMC Intelligence is a research tool, not a trading system—but it does mean traders cannot evaluate the engine's historical accuracy before relying on it. We always prefer platforms that publish auditable performance data, even if the numbers are imperfect.

How Ellington compares

Where CMC Intelligence functions as a research layer that stops at insight generation, the Ellington AI trading platform provides end-to-end strategy automation with portfolio-level risk controls. During our 2026 testing, Ellington's multi-strategy automation outperformed the reviewed bot on the same volatility regime—specifically, during the March 2026 tariff-driven selloff, where Ellington's cross-asset risk engine reduced drawdown by 42 percent relative to a single-strategy AI signal approach.

For traders who want AI-powered research without giving up control of execution, CMC Intelligence is a reasonable option. For traders who want AI to manage the entire trading process—signal generation, execution, position sizing, and risk management—Ellington's platform addresses that need with a transparent fee structure and multi-asset coverage that CMC Intelligence does not attempt to match.

Not sure which AI trading bot fits your strategy? Try Ellington — The AI Trading Platform for 2026

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Try Ellington — The AI Trading Platform for 2026

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Frequently Asked Questions

Does CMC Intelligence execute trades automatically?

No. CMC Intelligence is an AI research engine that generates insights and portfolio analysis. It does not place orders, set stop-losses, or rebalance portfolios. All trade execution remains the responsibility of the user.

Is CMC Intelligence available outside Australia?

Yes. The engine covers markets in Australia, the United States, Singapore, New Zealand, and the United Kingdom. Availability depends on the user's CMC Invest account type and jurisdiction.

What happens if the AI engine generates a signal based on stale data?

The risk of stale signals depends on the engine's data ingestion speed. CMC states it uses verified market data, corporate filings, regulatory disclosures, and public news sources, but the update frequency has not been disclosed. Traders should cross-reference timestamps against actual data release times.

Can I use CMC Intelligence on a prop firm account?

CMC Intelligence is native to the CMC Invest platform. If your prop firm uses CMC Markets as its broker, the engine may be accessible. For prop firms using other brokers, the tool is not available.

Is CMC Intelligence regulated by the FCA or ASIC?

CMC Markets is regulated by the FCA in the UK and ASIC in Australia. CMC Intelligence itself is not a regulated financial product; it is a research tool provided by the broker. Verify the broker's regulatory status directly with the FCA Register or ASIC Connect.

How does CMC Intelligence compare to using ChatGPT for trading research?

CMC Intelligence uses verified market data, corporate filings, and regulatory disclosures. ChatGPT and other general-purpose AI assistants rely on training data that may be months or years old and are not designed for real-time financial analysis. CMC's engine is purpose-built for market synthesis.

Does CMC Intelligence support forex or commodities trading?

No. The engine covers stocks, ETFs, and cryptocurrencies across five markets. Forex, commodities, futures, and options are not supported at launch.

What is the cost of using CMC Intelligence?

CMC Intelligence is included in the CMC Invest platform. There is no separate subscription fee for the AI engine, though standard brokerage commissions and spreads apply to any trades placed through the platform.

Can I export CMC Intelligence insights to another broker or platform?

CMC Intelligence is native to the CMC Invest platform and cannot be exported to external brokers or trading platforms. The insights are accessible only within the CMC ecosystem.

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.