Acuity Trading Partners with WNSTN to Co-Integrate AI Chatbot for Brokers

Wednesday, 13/05/2026 | 06:08 GMT by Damian Chmiel
  • The market intelligence provider co-integrates with WNSTN's conversational AI a day after backing MarketReader.
  • The tie-up pushes Acuity further into the race to bundle signals, chat and compliance tools for brokers.
Andrew Lane, CEO of Acuity Trading, talking to Finance Magnates at iFX EXPO International 2024
Andrew Lane, CEO of Acuity Trading, talking to Finance Magnates at iFX EXPO International 2024

Acuity Trading has signed a co-integration deal with US-based AI engagement firm WNSTN, the companies said today (Wednesday), putting Acuity's market and event data inside WNSTN's conversational chatbot and compliance monitoring tools for brokers and trading platforms.

Singapore Summit: Meet the largest APAC brokers you know (and those you still don't!)

The partnership lands one day after Acuity disclosed a separate equity investment in MarketReader, a New York startup that generates real-time explanations for market moves.

Together, the two deals make Acuity's playbook clearer: the London-based provider is wiring third-party AI components into its existing intelligence stack rather than building each piece in-house.

Two AI Deals in a Week as Acuity Builds Out the Stack

Acuity already runs Trade Intelligence, Market Intelligence and Event Intelligence products through MT4, MT5, cTrader, widgets and APIs. The WNSTN tie-up bolts a chat-first interface and a compliance officer module on top of that distribution.

It is the second new component plugged in within days. The MarketReader investment, announced yesterday (Tuesday), brought real-time market attribution into the same toolkit.

A month earlier, the company added automated chart pattern recognition, a move that put it head-to-head with long-standing rival Autochartist after years of ceding that segment.

Andrew Lane, CEO of Acuity Trading, said in a statement that "brokers and platforms are looking for ways to give traders more clarity at the point decisions are made." He described the deal as combining "Acuity's market intelligence with WNSTN's personalized engagement layer."

WNSTN Brings Chatbot Layer to a Market-Intelligence Provider

WNSTN, co-founded by Roy Michaeli and Jamie Rakover, markets a multi-agent financial AI system that brokers can deploy as a branded in-platform chatbot.

Its pitch leans on a proprietary compliance officer module trained on financial regulations, which the company says monitors AI outputs for regulatory issues.

The firm is not new to the brokerage segment. WNSTN integrated with Chicago-based Avant Garde Trading Securities in March 2025 and was selected in January 2026 by South Korea's Meritz Securities, which is building a retail investing platform around WNSTN's infrastructure.

Roy Michaeli
Roy Michaeli

Under the new arrangement, brokers will be able to deliver Acuity Trading's content, signals and event data through WNSTN's chat interface.

"We believe AI in financial services must do more than generate answers," Michaeli said. "It needs to deliver relevant insights in a way that is secure, responsible and practical for regulated firms."

Crowded Field for Broker-Facing AI Assistants

The combined offering enters a category that has been gathering competitors for several years. Devexperts launched Devexa, an AI-powered chatbot, inside its DXtrade web terminal in 2023, pitching it to brokers as a unified support, sales and trading-assist layer.

Tiger Brokers introduced TigerGPT the same year, an in-house AI assistant built on OpenAI's models for users in Australia, New Zealand and Singapore.

Leverate has rolled out its own Chatbot Assistant aimed at broker customer service, and a growing list of CRM and marketing-tech vendors are positioning conversational assistants as table stakes for retail brokerages.

Compliance Pitch Targets Regulated Brokers

Both companies emphasized regulatory framing in the announcement, with WNSTN's compliance module positioned as a way for brokers in tightly regulated markets to deploy generative AI without weakening oversight obligations.

That angle echoes Acuity's broader push into broker integrations, which has emphasized multilingual delivery and white-labelling.

Neither company disclosed commercial terms, the expected timeline for joint deployments, or which brokers are first in line to use the integrated product.

Acuity Trading has signed a co-integration deal with US-based AI engagement firm WNSTN, the companies said today (Wednesday), putting Acuity's market and event data inside WNSTN's conversational chatbot and compliance monitoring tools for brokers and trading platforms.

Singapore Summit: Meet the largest APAC brokers you know (and those you still don't!)

The partnership lands one day after Acuity disclosed a separate equity investment in MarketReader, a New York startup that generates real-time explanations for market moves.

Together, the two deals make Acuity's playbook clearer: the London-based provider is wiring third-party AI components into its existing intelligence stack rather than building each piece in-house.

Two AI Deals in a Week as Acuity Builds Out the Stack

Acuity already runs Trade Intelligence, Market Intelligence and Event Intelligence products through MT4, MT5, cTrader, widgets and APIs. The WNSTN tie-up bolts a chat-first interface and a compliance officer module on top of that distribution.

It is the second new component plugged in within days. The MarketReader investment, announced yesterday (Tuesday), brought real-time market attribution into the same toolkit.

A month earlier, the company added automated chart pattern recognition, a move that put it head-to-head with long-standing rival Autochartist after years of ceding that segment.

Andrew Lane, CEO of Acuity Trading, said in a statement that "brokers and platforms are looking for ways to give traders more clarity at the point decisions are made." He described the deal as combining "Acuity's market intelligence with WNSTN's personalized engagement layer."

WNSTN Brings Chatbot Layer to a Market-Intelligence Provider

WNSTN, co-founded by Roy Michaeli and Jamie Rakover, markets a multi-agent financial AI system that brokers can deploy as a branded in-platform chatbot.

Its pitch leans on a proprietary compliance officer module trained on financial regulations, which the company says monitors AI outputs for regulatory issues.

The firm is not new to the brokerage segment. WNSTN integrated with Chicago-based Avant Garde Trading Securities in March 2025 and was selected in January 2026 by South Korea's Meritz Securities, which is building a retail investing platform around WNSTN's infrastructure.

Roy Michaeli
Roy Michaeli

Under the new arrangement, brokers will be able to deliver Acuity Trading's content, signals and event data through WNSTN's chat interface.

"We believe AI in financial services must do more than generate answers," Michaeli said. "It needs to deliver relevant insights in a way that is secure, responsible and practical for regulated firms."

Crowded Field for Broker-Facing AI Assistants

The combined offering enters a category that has been gathering competitors for several years. Devexperts launched Devexa, an AI-powered chatbot, inside its DXtrade web terminal in 2023, pitching it to brokers as a unified support, sales and trading-assist layer.

Tiger Brokers introduced TigerGPT the same year, an in-house AI assistant built on OpenAI's models for users in Australia, New Zealand and Singapore.

Leverate has rolled out its own Chatbot Assistant aimed at broker customer service, and a growing list of CRM and marketing-tech vendors are positioning conversational assistants as table stakes for retail brokerages.

Compliance Pitch Targets Regulated Brokers

Both companies emphasized regulatory framing in the announcement, with WNSTN's compliance module positioned as a way for brokers in tightly regulated markets to deploy generative AI without weakening oversight obligations.

That angle echoes Acuity's broader push into broker integrations, which has emphasized multilingual delivery and white-labelling.

Neither company disclosed commercial terms, the expected timeline for joint deployments, or which brokers are first in line to use the integrated product.

About the Author: Damian Chmiel
Damian Chmiel
  • 3538 Articles
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About the Author: Damian Chmiel
Damian Chmiel is a Senior Analyst & Editor at Finance Magnates with more than 15 years of experience in the CFD and online trading industry. Active as both a trader and journalist since 2010, he focuses on broker coverage, fintech innovation, and regulatory developments across Europe, the Middle East, and Asia. His work includes interviews with C-level leaders at major brokerages and fintech platforms, as well as co-authoring Finance Magnates’ quarterly industry benchmarking reports. Damian’s reporting is data-driven, market-aware, and grounded in direct industry engagement. His analysis and commentary have also been cited by external media outlets, including Investing.com, Binance, The Asset, Stockhead, and Dispatch. Education: MA in Finance and Accounting, Cracow University of Economics
  • 3538 Articles
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