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The Eye of the TigerGPT: An AI Investment Assistant


In finance, every client has unique financial goals and specific investments in mind. My brother himself is a financial advisor with Accredited Asset Management Specialist (AAMS) certification, and he reiterates to his own clients that finding right-fit strategies and tailoring holistic plans to match their financial aspirations is key. These remove stresses and, in the long haul, help to solve the multi-layered, often rapidly shifting puzzles we face on our financial journeys.

That said, this article is on Future of Work, after all. Typically, any finance-related topics featured here are tied to technological advancements; the latter augments the former, in most cases.

So, the advancement here that’s linked to investments and other financial matters? It concerns one of the hottest topics on the planet, at the moment:

Artificial intelligence.

AI is just as powerful a force in finance as it is in other fields; when trained appropriately, it can analyze mountains’ worth of data at hyper-speed pace (at least, it feels that way) and can accurately identify patterns to make strong predictions. Its algorithms have already seen use in fraud detection, risk management and, in terms of the organization of one’s investments, portfolio optimization and personalized recommendations.

Enter TigerGPT, a text-generating AI chatbot developed as part of UP Fintech Holding Limited’s (known as “Tiger Brokers”) broad layout of internet services. TigerGPT is, at the time of this article’s publication, reportedly one of the first deployments of an AI investment assistant in the industry.

Currently in its user-testing phase, the TigerGPT feature (soon to be rolled out on UP Fintech’s flagship platform, “Tiger Trade”) is designed to offer timely market and stock data, conduct investor education, and deliver in-depth analyses drawn from a plethora of sources within mere seconds. It is not designed (as me and a fellow Future of Work Editor often write about) to replace workers. (In this case, financial advisors.) Rather, it can be tooled to benefit them; to empower users and lead them to continually efficient and informed decisions.

In terms of its training, this OpenAI tech-based service also leverages UP Fintech’s vast content library (i.e. with expansive access to a wealth of paid sources) so it can provide quick company profiles and data, investor education materials, market-related queries and stock insights and more – all within a span of seconds.

“TigerGPT is still undergoing daily-basis training and absorbing market fluctuations so we can ensure its interactions are accurate and concise,” said Wu Tianhua, founder and CEO of UP Fintech. “Over the years, we’ve honed meticulous classification and ease-of-navigation protocols – two benchmarks that define UP Fintech’s R&D capabilities – and they are at the center of TigerGPT and every step we take in creating the best-possible experiences for clients.”

Tianhua went on to say that “TigerGPT, we believe, will eliminate overwhelming tasks often faced with piles of scattered data and information. It will bring a breath of fresh air by addressing investment research queries, quenching curiosities regarding specific stocks, and presenting information in a well-articulated and highly pertinent manner so smart investments can be made.”

TigerGPT’s development, it seems, is ironically an investment in its own right; ideally, it will boost users’ overall investing literacies while creating cost-savings and peace of mind for advisors and advisees alike.

The TigerGPT team will also add more languages (to its current support of English and Mandarin Chinese) as the company scales up its global expansion initiatives.

Edited by Greg Tavarez
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