After three months of testing involving over 11,000 individual investors and crypto traders, Tiger Brokers has announced the rollout of TigerGPT, the first AI investment assistant in the brokerage industry. TigerGPT now serves users in New Zealand, Australia, and Singapore with more countries to come.

Finance Magnates obtained exclusive insight into the statistics of the conducted user testing phase, which revealed that 81% of its clients considered the answers provided by the chatbot to be accurate and satisfactory.

Tiger Brokers Concludes Testing Phase of TigerGPT

The new assistant, available within the Tiger Trade app, aims to enhance efficiency in pre-investment preparation. These include personalized stock research, displaying trending market topics, and providing summaries of earnings releases. With TigerGPT, investors can quickly filter stocks based on preferred criteria, stay updated with the latest market trends, and grasp a company's performance overview at a glance.

The assistant also aids investors in extracting relevant company news and conducting detailed sentiment analyses. By leveraging Tiger Trade's access to premium data and research, TigerGPT can provide essential information, such as support and resistance indicators, stock trend analyses, and economic calendars, effectively addressing a wider range of inquiries.

"We recognize the crucial role AI plays in the investment industry today and its potential for future growth, which is why we developed TigerGPT — to revolutionize the investor experience on a larger scale," Henry Toh, the CFO at Tiger Brokers (Singapore), commented.

[9th Anniversary] - TigerGPT, your 24/7 AI investing companion. https://t.co/vzqrEmVACv
TigerGPT does not provide any recommendation, all information provided is from the open data source. This advertisement has not been reviewed by the Monetary Authority of Singapore.#Investing pic.twitter.com/uJz634TG4Y

— Tiger Brokers Singapore (@TigerBrokers_SG) August 3, 2023

TigerGPT offers multi-turn conversations, allowing the chatbot to retain previous user inputs and deliver meaningful responses based on the ongoing dialogue. It presents itself as a pop-up notification when unusual stock activities or significant events are detected. Utilizing machine learning Machine Learning Machine learning is defined as an application of artificial intelligence (AI) that looks to automatically learn and improve from experience without being explicitly programmed. Machine learning is a rapidly growing field that also focuses on the development of computer programs that can access data and use it learn for themselves.This has many potential benefits for most industries and sectors, including the financial services industry. Machine Learning ExplainedMachine learning can be explained Machine learning is defined as an application of artificial intelligence (AI) that looks to automatically learn and improve from experience without being explicitly programmed. Machine learning is a rapidly growing field that also focuses on the development of computer programs that can access data and use it learn for themselves.This has many potential benefits for most industries and sectors, including the financial services industry. Machine Learning ExplainedMachine learning can be explained Read this Term technology, TigerGPT absorbs new information and evolves as Tiger Brokers' engineers constantly update its database with the latest financial data.

11,000 Testers Satisfied with TigerGPT Performance

According to information that Tiger Brokers shared with Finance Magnates, more than 11,000 of the broker's customers participated in the beta testing phase. As part of the survey conducted after the three-month period, 80.85% found the chatbot's answers to be accurate (rating them on a scale of 0 to 5). The quality and reliability of the information presented, its timeliness and comprehensiveness were also taken into account.

Moreover, based on the likes and dislikes ratio, Tiger Brokers estimates that 76% of its users were satisfied with the overall results they had received.

"Users no longer need to rely solely on keyword searches or sift through vast amounts of information to find relevant and concise content, which can be time-consuming. With TigerGPT as their AI investment companion, users can now enjoy a whole new dimension of the interactive experience, empowering them to make more informed and intuitive investment decisions," Toh added.

Artificial Intelligence Boom in Retail Trading Industry

As reported by Finance Magnates, ChatGPT has garnered widespread praise in recent times for its performance. Among various AI technologies, machine learning has profoundly impacted trading data analysis. Particularly for retail traders, affordable access to data plays a crucial role. Such data is available in diverse forms, spanning from ultra-low latency real-time information accessed through APIs to various levels of delayed market data. Moreover, traders can readily access historical market replay streams and data downloads.

Will Carter, a trading solutions developer and the Head of Trading and Analytics Analytics Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analyt Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analyt Read this Term at MahiMarkets, thinks that "machine learning has been the most significant innovation in data analysis in recent times."

According to the latest annual Investor Index study, there is a burgeoning trend in the UK, where reliance on AI for financial advice is on the rise. The survey reveals that an impressive 73% of the UK investors trust ChatGPT to offer reliable financial advice now and in the future.