The service is currently available in user testing.
It offers stock and market data, delivering analyses from many sources.
Tiger Brokers
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.
"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
Magnatesreported, ChatGPT has received widespread praise in recent times.
AI technologies, such as machine learning, have significantly impacted trading data analysis, notes Will Carter, a trading solutions developer and the Head of Trading and Analytics at MahiMarkets.
Will Carter, 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
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.
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.
"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
Magnatesreported, ChatGPT has received widespread praise in recent times.
AI technologies, such as machine learning, have significantly impacted trading data analysis, notes Will Carter, a trading solutions developer and the Head of Trading and Analytics at MahiMarkets.
Will Carter, 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
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.
Damian Chmiel is a Senior Analyst & Editor at Finance Magnates with more than 15 years of experience in the CFD and online trading industry. Active as both a trader and journalist since 2010, he focuses on broker coverage, fintech innovation, and regulatory developments across Europe, the Middle East, and Asia.
His work includes interviews with C-level leaders at major brokerages and fintech platforms, as well as co-authoring Finance Magnates’ quarterly industry benchmarking reports. Damian’s reporting is data-driven, market-aware, and grounded in direct industry engagement. His analysis and commentary have also been cited by external media outlets, including Investing.com, Binance, The Asset, Stockhead, and Dispatch.
Education:
MA in Finance and Accounting, Cracow University of Economics
IG Group Expects About £300 Million Revenue in Q1 2026
Finance Magnates Awards 2026 – Nominations Now Open
Finance Magnates Awards 2026 – Nominations Now Open
The Finance Magnates Awards 2026 nominations are now open. 🏆
From fintech innovators to leading brokers, this is where the finance industry celebrates its biggest achievements.
Winners will be announced at the Cyprus Gala Dinner on November 6, 2026.
Nominate your brand now.
https://awards.financemagnates.com/?utm_source=linkedin&utm_medium=video&utm_campaign=nominations-open
#FMAwards #FinanceMagnates #FintechAwards #Fintech #FinanceIndustry
The Finance Magnates Awards 2026 nominations are now open. 🏆
From fintech innovators to leading brokers, this is where the finance industry celebrates its biggest achievements.
Winners will be announced at the Cyprus Gala Dinner on November 6, 2026.
Nominate your brand now.
https://awards.financemagnates.com/?utm_source=linkedin&utm_medium=video&utm_campaign=nominations-open
#FMAwards #FinanceMagnates #FintechAwards #Fintech #FinanceIndustry
Finance Magnates Awards 2026 | Nominations Now Open 🏆#Fintech #FMAwards #TradingIndustry
Finance Magnates Awards 2026 | Nominations Now Open 🏆#Fintech #FMAwards #TradingIndustry
Lights on. Cameras ready. 🎬
Finance Magnates Awards 2026 nominations are now open. 🏆
#FMAwards #FinanceMagnates #FintechAwards #Fintech
Lights on. Cameras ready. 🎬
Finance Magnates Awards 2026 nominations are now open. 🏆
#FMAwards #FinanceMagnates #FintechAwards #Fintech
Exness sees trust as the key theme for growth in MENA Trading Growth for 2026
Exness sees trust as the key theme for growth in MENA Trading Growth for 2026
Mohammad Amer, Regional Commercial Director at Exness, sits down to discuss the booming MENA financial trading market. Find out why Dubai is key to the company's growth strategy, how a mobile-first generation is changing expectations, and why trust will be the defining theme for traders in 2026.
In this interview, you'll learn:
* Why Dubai and the MENA region are critical growth markets for fintech and online trading.
* How Exness is addressing the demands of mobile-first, younger traders through engineering, platform stability, and transparent conditions.
* The essential role local talent plays in providing a culturally relevant and compliant user experience.
* Mohammad Amer's outlook on the future of the online trading industry and why stronger controls and systems are necessary.
* Why "trust" isn't just a brand value, but has commercial value—and why he predicts 2026 will be the "Year of Trust."
Key Takeaways:
➡️ The MENA region is rapidly shaping global financial markets.
➡️ New traders expect stability, precise execution, and transparency.
➡️ Local expertise is key to regulatory compliance and user experience.
➡️ Future success belongs to firms capable of meeting rising standards across regulation and platform consistency.
Read the full article at: https://www.financemagnates.com/thought-leadership/exness-sees-trust-as-the-key-theme-for-growth-in-mena-trading-growth-for-2026/
#Exness #MENA #Trading #FinTech #Dubai #OnlineTrading #FinanceMagnates #MohammadAmer #Trust #MobileTrading
Mohammad Amer, Regional Commercial Director at Exness, sits down to discuss the booming MENA financial trading market. Find out why Dubai is key to the company's growth strategy, how a mobile-first generation is changing expectations, and why trust will be the defining theme for traders in 2026.
In this interview, you'll learn:
* Why Dubai and the MENA region are critical growth markets for fintech and online trading.
* How Exness is addressing the demands of mobile-first, younger traders through engineering, platform stability, and transparent conditions.
* The essential role local talent plays in providing a culturally relevant and compliant user experience.
* Mohammad Amer's outlook on the future of the online trading industry and why stronger controls and systems are necessary.
* Why "trust" isn't just a brand value, but has commercial value—and why he predicts 2026 will be the "Year of Trust."
Key Takeaways:
➡️ The MENA region is rapidly shaping global financial markets.
➡️ New traders expect stability, precise execution, and transparency.
➡️ Local expertise is key to regulatory compliance and user experience.
➡️ Future success belongs to firms capable of meeting rising standards across regulation and platform consistency.
Read the full article at: https://www.financemagnates.com/thought-leadership/exness-sees-trust-as-the-key-theme-for-growth-in-mena-trading-growth-for-2026/
#Exness #MENA #Trading #FinTech #Dubai #OnlineTrading #FinanceMagnates #MohammadAmer #Trust #MobileTrading
Paytiko CEO Razi Salih on Why Payment Orchestration is a MUST-HAVE for Brokers in 2026
Paytiko CEO Razi Salih on Why Payment Orchestration is a MUST-HAVE for Brokers in 2026
At iFX Expo Dubai, Finance Magnates spoke with Razi Salih, CEO at Paytiko, about the evolution of the payments ecosystem and why payment orchestration has shifted from an option to a necessity for brokers, prop firms, and exchanges.
Mr. Salih explains how global expansion, the need for deep localisation, and the sheer number of new payment methods, from instant banking to stablecoins, are driving this critical infrastructure shift.
#PaymentOrchestration #Fintech #Brokerage #TradingPayments #RaziSalih #Paytiko #iFXExpoDubai #Stablecoins #AIinFintech
At iFX Expo Dubai, Finance Magnates spoke with Razi Salih, CEO at Paytiko, about the evolution of the payments ecosystem and why payment orchestration has shifted from an option to a necessity for brokers, prop firms, and exchanges.
Mr. Salih explains how global expansion, the need for deep localisation, and the sheer number of new payment methods, from instant banking to stablecoins, are driving this critical infrastructure shift.
#PaymentOrchestration #Fintech #Brokerage #TradingPayments #RaziSalih #Paytiko #iFXExpoDubai #Stablecoins #AIinFintech
Altima CTO Sunil Jadhav: Solving Data Fragmentation & Lag for Brokers & Prop Firms
Altima CTO Sunil Jadhav: Solving Data Fragmentation & Lag for Brokers & Prop Firms
Altima CTO Sunil Jadhav sits down with Finance Magnates to discuss the core technology challenges facing CFD brokers and proprietary trading firms today.
Jadhav explains how the industry's reliance on batch processing and fragmented systems (where CRMs, risk tools, and trading platforms operate with separate 'sources of truth') leads to delayed data and inconsistent operational decisions. He argues that real-time event processing is essential for managing fast-moving trading activity and risk.
Learn how Altima's unified, event-driven architecture, connecting Altima CRM, Altima Prop, IB systems, and risk management through a single backbone, is designed to provide synchronous data and better operational coordination for modern brokerage and prop firm stacks.
Key Topics:
- Broker and Prop Firm Data Challenges
- The problem of delayed data processing (batch processing vs. real-time events)
- Fragmented systems and conflicting data sources
- Altima's unified, event-driven solution architecture
- The concept of a "risk-aware CRM"
- Built-in risk management in Altima Prop
#Altima #financemagnates #iFXDubai #FinTech #BrokerTech #PropFirm #CFDBroker #TradingTechnology #RealTimeData #RiskManagement #CRM #FinancialMarkets #EventDrivenArchitecture
Altima CTO Sunil Jadhav sits down with Finance Magnates to discuss the core technology challenges facing CFD brokers and proprietary trading firms today.
Jadhav explains how the industry's reliance on batch processing and fragmented systems (where CRMs, risk tools, and trading platforms operate with separate 'sources of truth') leads to delayed data and inconsistent operational decisions. He argues that real-time event processing is essential for managing fast-moving trading activity and risk.
Learn how Altima's unified, event-driven architecture, connecting Altima CRM, Altima Prop, IB systems, and risk management through a single backbone, is designed to provide synchronous data and better operational coordination for modern brokerage and prop firm stacks.
Key Topics:
- Broker and Prop Firm Data Challenges
- The problem of delayed data processing (batch processing vs. real-time events)
- Fragmented systems and conflicting data sources
- Altima's unified, event-driven solution architecture
- The concept of a "risk-aware CRM"
- Built-in risk management in Altima Prop
#Altima #financemagnates #iFXDubai #FinTech #BrokerTech #PropFirm #CFDBroker #TradingTechnology #RealTimeData #RiskManagement #CRM #FinancialMarkets #EventDrivenArchitecture