Acuity Debuts AI Trading Signals, Taking On Traditional Analysis

Wednesday, 08/01/2025 | 06:37 GMT by Damian Chmiel
  • The system covers over 2,000 assets and plans expansion into additional markets.
  • However, its current win rate sits below 50%.
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 unveiled TradeSignals, an artificial intelligence-powered trading signal platform that combines traditional technical analysis with advanced sentiment analysis for cryptocurrency and foreign exchange markets.

Acuity Trading Launches AI-Powered Trading Signal Platform

The new automated system, integrated into Acuity's AnalysisIQ product suite, processes market data and news sentiment to generate trading signals across more than 2,000 assets, including major indices like the S&P 500 and NASDAQ 100.

Ariel Duarte-López, Head of Data Science at Acuity Trading
Ariel Duarte-López, Head of Data Science at Acuity Trading

"By leveraging AI and data science, we're generating signals that capture both historical patterns and real-time market sentiment," said Ariel Duarte-López, Head of Data Science at Acuity Trading.

The platform enhances conventional technical analysis by incorporating natural language processing to analyze news sentiment and market volatility data. This multi-dimensional approach aims to provide traders with more comprehensive market insights.

While the system's win rate currently sits below 50%, the company reports that careful risk management and strategic stop-loss placement have resulted in profitable outcomes during backtesting. The platform currently covers 2,122 assets, with plans to expand into global equities, commodities, and additional forex pairs.

“Even with a lower win rate, our strategy’s profitability is driven by the higher revenue from successful trades compared to losses from unsuccessful ones,” adds Ariel Duarte-López, PhD. “This is a crucial aspect of our risk management approach, ensuring that our clients are supported in making informed trading decisions.”

Growing Adoption of AI Trading Technology

Multiple financial institutions have recently embraced Acuity Trading's artificial intelligence solutions, marking a significant shift in the retail trading landscape. OneRoyal integrated Acuity's comprehensive analytics suite in November 2024, providing its clients with AI-driven market insights and real-time sentiment analysis tools.

The integration trend continued as Zarvista Capital Markets, previously known as ZaraFX, implemented Acuity's AnalysisIQ platform to enhance its global trading services. This partnership aims to democratize market analysis tools previously reserved for institutional investors.

In a separate development, FunderPro became the first prop trading company to adopt Acuity's Research Terminal in December 2024. This strategic move enables FunderPro's funded traders to leverage advanced AI-powered analytics for more informed trading decisions.

Acuity Trading has unveiled TradeSignals, an artificial intelligence-powered trading signal platform that combines traditional technical analysis with advanced sentiment analysis for cryptocurrency and foreign exchange markets.

Acuity Trading Launches AI-Powered Trading Signal Platform

The new automated system, integrated into Acuity's AnalysisIQ product suite, processes market data and news sentiment to generate trading signals across more than 2,000 assets, including major indices like the S&P 500 and NASDAQ 100.

Ariel Duarte-López, Head of Data Science at Acuity Trading
Ariel Duarte-López, Head of Data Science at Acuity Trading

"By leveraging AI and data science, we're generating signals that capture both historical patterns and real-time market sentiment," said Ariel Duarte-López, Head of Data Science at Acuity Trading.

The platform enhances conventional technical analysis by incorporating natural language processing to analyze news sentiment and market volatility data. This multi-dimensional approach aims to provide traders with more comprehensive market insights.

While the system's win rate currently sits below 50%, the company reports that careful risk management and strategic stop-loss placement have resulted in profitable outcomes during backtesting. The platform currently covers 2,122 assets, with plans to expand into global equities, commodities, and additional forex pairs.

“Even with a lower win rate, our strategy’s profitability is driven by the higher revenue from successful trades compared to losses from unsuccessful ones,” adds Ariel Duarte-López, PhD. “This is a crucial aspect of our risk management approach, ensuring that our clients are supported in making informed trading decisions.”

Growing Adoption of AI Trading Technology

Multiple financial institutions have recently embraced Acuity Trading's artificial intelligence solutions, marking a significant shift in the retail trading landscape. OneRoyal integrated Acuity's comprehensive analytics suite in November 2024, providing its clients with AI-driven market insights and real-time sentiment analysis tools.

The integration trend continued as Zarvista Capital Markets, previously known as ZaraFX, implemented Acuity's AnalysisIQ platform to enhance its global trading services. This partnership aims to democratize market analysis tools previously reserved for institutional investors.

In a separate development, FunderPro became the first prop trading company to adopt Acuity's Research Terminal in December 2024. This strategic move enables FunderPro's funded traders to leverage advanced AI-powered analytics for more informed trading decisions.

About the Author: Damian Chmiel
Damian Chmiel
  • 3351 Articles
  • 105 Followers
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
  • 3351 Articles
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