ATFX Partners with Acuity as Brokers Expand AI Research and Technology

ATFX has announced a partnership with Acuity Trading to integrate AT DeepSight research into its client portal and dashboard, adding to a series of broker initiatives that put artificial intelligence into market research, portfolio analysis and internal operations.

The November 3 announcement describes an ATFX-branded research experience supported by Acuity’s technology. Access will depend on the relevant ATFX entity, jurisdiction and client eligibility.

AT DeepSight brings together technical patterns, news sentiment and macroeconomic events to help clients assess potential trading scenarios. Its analytical levels are research inputs rather than assurances about future prices. The announcement concerns the partnership and portal integration; it does not establish the tool’s first launch.

AI Research Moves into Broker Platforms

A comparable approach emerged at iFOREX on October 13, when the company announced a collaboration with TipRanks and WNSTN.

Its Travis assistant combines TipRanks research and data with WNSTN’s conversational AI, allowing clients to explore instruments, market events and broader trends within the iFOREX platform. The initial rollout covers South America, Asia and the Gulf region.

iFOREX also outlined plans for broader onboarding assistance, education and portfolio-related tools. Those extensions remain plans in the announcement, while Travis is being introduced in phases. The company says the assistant supports research and education without providing personalised investment advice.

Interactive Brokers Connects AI to Account Data

Interactive Brokers has taken a further step into account-connected analysis. On July 28, it announced expanded support for AI tools using the Model Context Protocol, enabling clients to connect compatible applications to their accounts.

The integration supports portfolio research, risk monitoring and the preparation of trade instructions through natural-language requests. In the workflow described by the company, clients review each instruction and convert it into an order on an IBKR platform before submission.

That distinction matters: AI can help prepare a trading decision while the client retains approval over the order.

Deriv Builds AI into Internal Operations

Broker investment in AI also extends to how technology is developed and controlled.

Deriv announced Rotimi Akinyele’s appointment as chief technology officer on October 22, with priorities including internal automation, its AI intelligence layer and agent-assisted software development. The company has set a target of automating 75% of manual workflows by the end of 2026; the announcement does not say that target has been achieved.

In a separate release posted on October 30, with an October 29 dateline, Deriv said it had open-sourced Deriv One, a self-hosted enterprise AI platform under the MIT licence.

The platform provides role-based access to AI skills and includes a workspace, skills catalogue and agent tools. Deriv said some production integrations and cloud components were excluded from the public release. This is enterprise infrastructure, with a different purpose from client-facing market research.

Integration Brings Questions About Control

Taken together, these examples suggest three areas of broker AI development: embedding third-party research, connecting AI to account information, and automating internal work. They do not establish that any particular model improves trading returns.

The practical questions concern what information a tool uses, which permissions it receives and whether a person must approve its output before it affects an account. A research summary, a draft trade instruction and an internal automation agent each require different checks.

For investors, AI features should be assessed alongside the broker’s regulatory status, account entity, trading costs and withdrawal terms. AI-generated analysis can be inaccurate or incomplete, and leveraged forex and CFD trading carries substantial risk.

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