Financial and Business News

MahiMarkets Launches Machine Learning Spread Technology

Tuesday, 16/09/2025 | 07:45 GMT by Damian Chmiel
  • The London fintech firm claims AI system enables tighter pricing during volatile market conditions.
  • The company targets forex brokers struggling with traditional risk management systems.
MahiMarkets team
MahiMarkets team

Financial technology firm MahiMarkets rolled out what it calls “Predictive Spread Modulation,” a machine learning system that the company says allows forex brokers to offer tighter spreads during periods of high market volatility.

The London-based company, which has provided trading technology to brokers since 2010, says the system uses machine learning algorithms that analyze individual client trading patterns at each brokerage.

MahiMarkets claims this allows brokers to maintain competitive pricing when traditional systems either widen spreads significantly or pull back from certain markets entirely.

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MahiMarkets’ Technology Targets Volatile Market Periods

The system launches as financial markets face what MahiMarkets describes as record volatility in assets like gold and unpredictable price swings in cryptocurrency markets that trade around the clock. The company says its technology differs from existing bridge systems that rely on preset rules triggered by scheduled news events or basic volatility measures.

“The modern market creates opportunities, but it also exposes brokers who rely on outdated, reactive technology,” a MahiMarkets spokesperson said. “Our models learn from this chaos. They provide the ability to price intelligently and safely when competitors are either pulling back entirely or using blunt, reactive rules that are unfit for today's market.”

Forex Industry Embraces AI Risk Tools

The forex brokerage industry has increasingly turned to automated risk management systems as competition intensifies and regulatory requirements expand. Industry reports indicate that AI-enhanced risk management has become a standard requirement for leading forex brokers in 2025, with firms seeking tools that can process large datasets and predict market behavior patterns.

Recently, cTrader by Spotware introduced solutions in this area, forming a partnership with Brokerpilot.

MahiMarkets says its system supplements machine learning models with what it calls “off-site predictive signals” from global analytics centers, though the company provided few details about how these external data sources function.

Company Positions Tool Within Broader Suite

The spread modulation technology represents one component of MahiMarkets' broader risk management platform, which the company says serves brokers across foreign exchange, indices, cryptocurrency, commodities, futures and contracts-for-difference markets. The firm claims each tool in its suite can be measured on a quantifiable dollar-per-million basis for clients.

The company has previously developed products including MFXCompass for real-time risk management and MFXEcho for analytics, utilizing Amazon Web Services infrastructure. Moreover, the firm recently announced an integration with Match-Trader to bring its pricing technology into that platform's trading infrastructure.

Financial technology firm MahiMarkets rolled out what it calls “Predictive Spread Modulation,” a machine learning system that the company says allows forex brokers to offer tighter spreads during periods of high market volatility.

The London-based company, which has provided trading technology to brokers since 2010, says the system uses machine learning algorithms that analyze individual client trading patterns at each brokerage.

MahiMarkets claims this allows brokers to maintain competitive pricing when traditional systems either widen spreads significantly or pull back from certain markets entirely.

Join IG, CMC, and Robinhood in London’s leading trading industry event!

MahiMarkets’ Technology Targets Volatile Market Periods

The system launches as financial markets face what MahiMarkets describes as record volatility in assets like gold and unpredictable price swings in cryptocurrency markets that trade around the clock. The company says its technology differs from existing bridge systems that rely on preset rules triggered by scheduled news events or basic volatility measures.

“The modern market creates opportunities, but it also exposes brokers who rely on outdated, reactive technology,” a MahiMarkets spokesperson said. “Our models learn from this chaos. They provide the ability to price intelligently and safely when competitors are either pulling back entirely or using blunt, reactive rules that are unfit for today's market.”

Forex Industry Embraces AI Risk Tools

The forex brokerage industry has increasingly turned to automated risk management systems as competition intensifies and regulatory requirements expand. Industry reports indicate that AI-enhanced risk management has become a standard requirement for leading forex brokers in 2025, with firms seeking tools that can process large datasets and predict market behavior patterns.

Recently, cTrader by Spotware introduced solutions in this area, forming a partnership with Brokerpilot.

MahiMarkets says its system supplements machine learning models with what it calls “off-site predictive signals” from global analytics centers, though the company provided few details about how these external data sources function.

Company Positions Tool Within Broader Suite

The spread modulation technology represents one component of MahiMarkets' broader risk management platform, which the company says serves brokers across foreign exchange, indices, cryptocurrency, commodities, futures and contracts-for-difference markets. The firm claims each tool in its suite can be measured on a quantifiable dollar-per-million basis for clients.

The company has previously developed products including MFXCompass for real-time risk management and MFXEcho for analytics, utilizing Amazon Web Services infrastructure. Moreover, the firm recently announced an integration with Match-Trader to bring its pricing technology into that platform's trading infrastructure.

About the Author: Damian Chmiel
Damian Chmiel
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Damian's adventure with financial markets began at the Cracow University of Economics, where he obtained his MA in finance and accounting. Starting from the retail trader perspective, he collaborated with brokerage houses and financial portals in Poland as an independent editor and content manager. His adventure with Finance Magnates began in 2016, where he is working as a business intelligence analyst.

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