iFi AI launches stock and ETF trade signals platform powered by IBM Watsonx

Rick Steves

“Knowing what to trade and when to trade it; that’s every trader’s holy grail. Large institutions and sophisticated private fund managers have long made use of AI-powered approaches, giving themselves an advantage over the rest of the market in separating signal from noise. But now, for the first time, those same tools are being made available to all.”

iFi AI has gone live with its AI-powered stock research platform developed in collaboration with IBM Watsonx. Claiming to revolutionize stock and ETF trading, iFi AI provides trade ideas for retail investors.

The technology behind iFi AI, developed by IBM Watsonx, is already managing over $6 billion in institutional assets, and is expected to continue on its accelerated growth trajectory worldwide.

The AI tool levels the playing field by offering all traders access to tools previously reserved for large institutions and sophisticated private fund managers. iFi AI allows users to discern the most advantageous times to adjust their positions with greater confidence.

iFi AI assigns a Condidence Value for each prediction

iFi AI stands out by leveraging millions of data points, incorporating macroeconomic, fundamental, and technical indicators, as well as alternative data sources. It doesn’t just aggregate data; it also assigns a Confidence Value to each forecast, providing users with a quantifiable measure of the model’s conviction in its predictions.

The introduction of iFi AI is timely, occurring at a moment when AI is poised to fundamentally transform finance. Insana and his team are excited to share the capabilities of iFi AI with traders seeking to leverage cutting-edge technology for smarter investment decisions.

For those interested in exploring what iFi AI has to offer, the platform is now available for download, promising to provide insights into billions of data points and drive smarter investment decisions through the power of artificial intelligence. In partnership with IBM Watsonx, iFi AI is set to change how traders approach the market, offering forecasted returns for hundreds of stocks and ETFs with exceptional transparency and reliability.

“Knowing what to trade and when to trade it”

Ron Insana, CEO of iFI AI, said: “Knowing what to trade and when to trade it; that’s every trader’s holy grail. Large institutions and sophisticated private fund managers have long made use of AI-powered approaches, giving themselves an advantage over the rest of the market in separating signal from noise. But now, for the first time, those same tools are being made available to all. The technology underpinning iFi AI is already powering more than $6 billion in institutional assets, and we’re democratizing access to this tech for traders of all types and sizes.”

“AI isn’t just about assimilating millions of data points or using generative AI to summarize and encapsulate the key trends moving markets, though iFi can certainly do all of that. AI in trading needs to be both a tool for idea discovery and for measuring the probability and conviction behind each such idea. That is where iFi AI shines and why I am so excited to be introducing our new app and web-based portal.

“iFi AI is a transformative platform, better equipping traders to identify the most opportunistic moments to add to or discard from positions. With this transformative platform coming to market at such a transformative moment, when AI is poised to upend so much of traditional finance, my colleagues and I could not be more excited to tell the iFi AI story and to help more traders make use of the best-in-class technology that can help them find their next great trade.”

What is IBM Watsonx?

IBM Watsonx is a comprehensive AI and data platform designed to meet the needs of businesses by enhancing their ability to scale and accelerate the impact of AI with trusted data.  The platform consists of three core components: Watsonx.ai, Watsonx.data, and Watsonx.governance, each tailored to facilitate different aspects of AI integration and application in a business environment​.

  • Watsonx.ai offers an enterprise AI studio for training, validating, tuning, and deploying both traditional machine learning and new generative AI capabilities powered by foundation models. This part of the platform is notable for its collaboration with Hugging Face, providing access to a vast array of open-source models and datasets, which reinforces IBM’s commitment to an open ecosystem approach​.
  • Watsonx.data is a data store optimized for governed data and AI workloads, built on open lakehouse architecture. It supports querying, governance, and open data formats, enabling businesses to access and share data across multi-cloud environments efficiently. This solution is designed to significantly reduce data warehouse costs and streamline data management​.
  • Watsonx.governance is aimed at embedding trust into the AI lifecycle, providing an automated data and model lifecycle management solution. It facilitates the creation of policies, assignment of decision rights, and ensures organizational accountability for AI use, helping businesses meet regulatory requirements and address ethical concerns​.

The platform empowers users to easily build custom AI applications, manage all data sources, and accelerate responsible AI workflows on a single platform. It targets specific enterprise domains such as HR, customer service, and IT operations, offering a variety of AI assistants to automate workflows and implement AI across business functions.

With an emphasis on trust and accessibility, IBM Watsonx is designed not just for data scientists and developers but also for business users, featuring an easy-to-use interface that responds to natural language prompts. It supports experimentation with models for a wide range of tasks and offers advanced users the ability to customize models with labeled data​ (IBM – United States)​.

IBM plans to continue evolving Watsonx with new capabilities and models, including the introduction of Granite series models and third-party models like Meta’s Llama 2-chat and the StarCoder LLM for code generation.

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