Sigma launches Akili-AI: a no-code solution for multi-asset class trading
The solution stands out as a completely asset-class and instrument-agnostic system. It continuously streams real-time trading data, enabling users to screen, test, and design complex trading strategies promptly.
SIGMA Financial AI has unveiled Akili-AI, a suite of enterprise-ready trading strategy tools designed to revolutionize the world of financial services trading with its no-code solution that leverages the power of artificial intelligence (AI) to provide data-driven insights tailored to the specific needs of the global financial services trading community.
Akili-AI harnesses the capabilities of machine learning (ML) and natural language processing (NLP) to deliver agile and intelligent tools that are faster and easier to use. Traders can now create strategies at a scale and speed that was previously unattainable without AI support.
The solution stands out as a completely asset-class and instrument-agnostic system. It continuously streams real-time trading data, enabling users to screen, test, and design complex trading strategies promptly.
Offered as a SaaS-based Pattern-matching platform (Patterns as a Service), the platform empowers traders to monitor thousands of instruments in real-time, scanning charts for momentum changes, technical signals, support, and resistance zones.
To further enhance trading strategies, the platform incorporates natural language processing (NLP) research functions that extract fundamental and technical qualifications from thousands of news sources, social media channels, and traders’ data.
Akili-AI boasts a flexible modular architecture built using modern protocols. It is a cloud-based solution that scales effortlessly to support even the largest trading enterprises.
Andy Simpson, Co-founder, and CEO of SIGMA Financial AI, stressed the need for transformative solutions in today’s trading landscape. Traders face constant pressure to find an edge, especially with the exponential growth in data volumes. Akili-AI addresses these challenges by offering the ability to discover new liquidity quickly, enhance trade execution capabilities, and reduce portfolio risk, all at a lower cost and faster pace.
Simpson highlighted that Akili-AI’s mission is to enhance the human experience in trading, not replace it. By providing AI-based solutions, the platform aims to generate more revenue and increased profitability for traders.
