Tiger Brokers, the trading brand of a leading online brokerage firm focusing on Chinese investors UP Fintech Holding Limited, has presented an alternative to the artificial intelligence (AI) chatbot ChatGPT, dubbed TigerGPT. According to the company's press release published on Wednesday, it is the first AI trading assistant released in the industry.

TigerGPT to Enhance Investment Decision-Making

OpenAI's ChatGPT chatbot, presented by OpenAI, which uses natural language processing to create humanlike conversational dialogue, has become the Internet's biggest hit for 2022/2023. The platform's owners predict it will be worth more than $1 billion by the end of 2024.

Tiger Brokers decided to take advantage of the advanced capabilities of artificial intelligence from OpenAI and created TigerGPT based on its technology. The investment assistant leverages the broker's extensive content library and access to premium sources to provide users with prompt, informative responses.

This includes data on listed companies' profiles, a wealth of financial knowledge, investor education materials, and market and stock insights. By addressing investment-related queries in easily digestible conversations, TigerGPT saves users time and increases efficiency in pre-investment preparation.

"We believe our TigerGPT feature can bring users a deeply valued fresh breeze, by addressing various queries on investment research, quenching curiosities of specific stocks and industries, and presenting the very piece of information needed in a well-articulated and highly-pertinent manner — all the factors needed before making informed, efficient and smart investments," Wu Tianhua, the Founder and CEO of Tiger Brokers, commented.

TigerGPT undergoes daily training and absorbs the latest market updates to ensure concise and relevant interactions. This is made possible by Tiger Brokers' accurate classification and easy navigation.

The new tool is currently in user testing in selected markets. Tiger Trade app users interested in participating can join the test waiting list. Tiger Brokers' R&D team is working on adding more languages to TigerGPT's current support in English, Traditional Chinese, and Mandarin Chinese, in line with the company's growing global expansion.

🤖We're super excited to introduce TigerGPT, the industry’s first-ever AI investment assistant!
User testing is now live here, enjoy! We’d also love to have your feedback！
Try now 👉👉👉 https://t.co/H4DWy58TaM pic.twitter.com/UdBVSfQu6u

— Tiger Brokers Singapore (@TigerBrokers_SG) April 11, 2023

"The dialogue content of TigerGPT is generated by the system and constructed according to the information from [the] Internet. It is only used for the purpose of disseminating information. It does not constitute a solicitation, invitation, advising or opinion on any financial product," TigerGPT's disclaimer stated.

AI, Machine Learning and Retail Trading Go Side by Side

As Finance Magnates reported, ChatGPT has received widespread praise in recent times. AI technologies, such as 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, have significantly impacted trading data analysis, notes Will Carter, a trading solutions developer and the Head of Trading and Analytics at MahiMarkets.

"Technical analysis has been around for a long time to assist traders in identifying patterns, but machine learning has been the most significant innovation in data analysis in recent times," Carter commented.

Carter highlights the increasing prevalence of high-frequency trading in the retail sector, which demands vast amounts of data. To successfully utilize machine learning in this context, traders must first ensure they can access high-frequency data.

For retail traders, affordable access to data is crucial. Kiel points out that data is widely available and comes in various forms, ranging from ultra-low latency real-time information through APIs to different levels of delayed market data. Additionally, historical market replay streams and data downloads are readily accessible to traders.

UP Fintech Reports Third Profitable Year in a Row

UP Fintech Holding Limited (NASDAQ:TIGR) recently unveiled its unaudited financial results for the quarter and the full year ending on December 31, 2022. Despite facing global macroeconomic challenges, the online brokerage reported an annual revenue of $225.4 million.

As per the press release issued last month, UP Fintech's non-GAAP net income attributable to the company reached $12.68 million, securing profits for the third year in a row. In the fourth quarter of 2022, the company's total revenue amounted to $63.85 million, representing an increase of 15.2% quarter-over-quarter (QoQ), with a non-GAAP net income of $4.52 million.

However, recent news about the company has been less favorable. In December, UP Fintech Fintech Financial Technology (fintech) is defined as ay technology that is geared towards automating and enhancing the delivery and application of financial services. The origin of the term fintechs can be traced back to the 1990s where it was primarily used as a back-end system technology for renowned financial institutions. However, it has since grown outside the business sector with an increased focus upon consumer services.What Purpose Do Fintechs Serve?The main purpose of fintechs would be to suppl Financial Technology (fintech) is defined as ay technology that is geared towards automating and enhancing the delivery and application of financial services. The origin of the term fintechs can be traced back to the 1990s where it was primarily used as a back-end system technology for renowned financial institutions. However, it has since grown outside the business sector with an increased focus upon consumer services.What Purpose Do Fintechs Serve?The main purpose of fintechs would be to suppl Read this Term and another trading firm, Futu, drew the attention of the China Securities Regulatory Commission (CSRC). The regulatory body announced plans to prohibit both companies from operating within mainland China due to their engagement in illegal securities activities.