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's adventure with financial markets began at the Cracow University of Economics, where he obtained his MA in finance and accounting. Starting from the retail trader perspective, he collaborated with brokerage houses and financial portals in Poland as an independent editor and content manager. His adventure with Finance Magnates began in 2016, where he is working as a business intelligence analyst.
In this video, we take an in-depth look at @Exness , a global multi-asset broker operating since 2008, known for fast withdrawals, flexible account types, and strong regulatory coverage across multiple regions.
We break down Exness’s regulatory framework, supported trading platforms including MetaTrader 4, MetaTrader 5, Exness Terminal, and the Exness Trade App, as well as available account types such as Standard, Pro, Zero, and Raw Spread.
You’ll also learn about Exness’s leverage options, fees and commissions, swap-free trading, available instruments across forex, commodities, indices, stocks, and cryptocurrencies, and what traders can expect in terms of execution, funding speed, and customer support.
Watch the full review to see whether Exness aligns with your trading goals and strategy.
👉 Explore Exness’s full broker listing on the Finance Magnates Directory:
https://directory.financemagnates.com/multi-asset-brokers/exness/
📣 Stay up to date with the latest in finance and trading. Follow Finance Magnates for industry news, insights, and global event coverage.
Connect with us:
🔗 LinkedIn: /financemagnates
👍 Facebook: /financemagnates
📸 Instagram: https://www.instagram.com/financemagnates
🐦 X: https://x.com/financemagnates
🎥 TikTok: https://www.tiktok.com/tag/financemagnates
▶️ YouTube: /@financemagnates_official
#Exness #ExnessReview #Forex #FinanceMagnates #ForexBroker #BrokerReview #CFDTrading #OnlineTrading #MarketInsights
In this video, we take an in-depth look at @Exness , a global multi-asset broker operating since 2008, known for fast withdrawals, flexible account types, and strong regulatory coverage across multiple regions.
We break down Exness’s regulatory framework, supported trading platforms including MetaTrader 4, MetaTrader 5, Exness Terminal, and the Exness Trade App, as well as available account types such as Standard, Pro, Zero, and Raw Spread.
You’ll also learn about Exness’s leverage options, fees and commissions, swap-free trading, available instruments across forex, commodities, indices, stocks, and cryptocurrencies, and what traders can expect in terms of execution, funding speed, and customer support.
Watch the full review to see whether Exness aligns with your trading goals and strategy.
👉 Explore Exness’s full broker listing on the Finance Magnates Directory:
https://directory.financemagnates.com/multi-asset-brokers/exness/
📣 Stay up to date with the latest in finance and trading. Follow Finance Magnates for industry news, insights, and global event coverage.
Connect with us:
🔗 LinkedIn: /financemagnates
👍 Facebook: /financemagnates
📸 Instagram: https://www.instagram.com/financemagnates
🐦 X: https://x.com/financemagnates
🎥 TikTok: https://www.tiktok.com/tag/financemagnates
▶️ YouTube: /@financemagnates_official
#Exness #ExnessReview #Forex #FinanceMagnates #ForexBroker #BrokerReview #CFDTrading #OnlineTrading #MarketInsights
The FMLS:25 highlights video is now live - a look back at the conversations, the energy on the floor, and the moments that shaped this year’s summit.
While that’s still fresh, the next launches across the FM Events portfolio are already taking shape.
FM Singapore takes place on the 12-14 of May, connecting the APAC market with its own distinct audience and priorities. FMAS:26 heads to Cape Town on 26–27 May shortly after, bringing the focus to Africa’s trading and fintech ecosystem.
Different regions. Different audiences. Same commitment to building the right rooms for meaningful conversations.
More details coming very soon. The launches are imminent. - here you go
The FMLS:25 highlights video is now live - a look back at the conversations, the energy on the floor, and the moments that shaped this year’s summit.
While that’s still fresh, the next launches across the FM Events portfolio are already taking shape.
FM Singapore takes place on the 12-14 of May, connecting the APAC market with its own distinct audience and priorities. FMAS:26 heads to Cape Town on 26–27 May shortly after, bringing the focus to Africa’s trading and fintech ecosystem.
Different regions. Different audiences. Same commitment to building the right rooms for meaningful conversations.
More details coming very soon. The launches are imminent. - here you go
What sources does the Finance Magnates newsroom rely on before publishing a story? #FinanceNews
What sources does the Finance Magnates newsroom rely on before publishing a story? #FinanceNews
Yam Yehoshua, Editor-in-Chief at Finance Magnates, explains the editorial process: direct industry sources, reports, regulators, social media signals, and thorough cross-checking before anything goes live.
📰 Industry sources
📊 Reports & regulators
🔎 Verification before publication
Yam Yehoshua, Editor-in-Chief at Finance Magnates, explains the editorial process: direct industry sources, reports, regulators, social media signals, and thorough cross-checking before anything goes live.
📰 Industry sources
📊 Reports & regulators
🔎 Verification before publication
OnePrime’s Jerry Khargi on Infrastructure, Liquidity & Trust | Executive Interview
OnePrime’s Jerry Khargi on Infrastructure, Liquidity & Trust | Executive Interview
Recorded live at FMLS:25 London, this exclusive executive interview features Jerry Khargi, Executive Director at OnePrime, in conversation with Andrea Badiola Mateos from Finance Magnates.
In this in-depth discussion, Jerry shares:
- OnePrime’s journey from a retail-focused business to a global institutional liquidity provider
- What truly sets award-winning trading infrastructure apart
- Key trends shaping institutional trading, including technology and AI
- The importance of transparency, ethics, and reputation in long-term success
- OnePrime’s vision for growth over the next 12–24 months
Fresh from winning Finance Magnates’ Best Trading Infrastructure Broker, Jerry explains how experience, mentorship, and real-world problem solving form the “special sauce” behind OnePrime’s institutional offering.
🏆 Award Highlight: Best Trading Infrastructure Broker
👉 Subscribe to Finance Magnates for more executive interviews, market insights, and exclusive coverage from the world’s leading financial events.
#FMLS25 #FinanceMagnates #OnePrime #InstitutionalTrading #Liquidity #TradingInfrastructure #ExecutiveInterview
Recorded live at FMLS:25 London, this exclusive executive interview features Jerry Khargi, Executive Director at OnePrime, in conversation with Andrea Badiola Mateos from Finance Magnates.
In this in-depth discussion, Jerry shares:
- OnePrime’s journey from a retail-focused business to a global institutional liquidity provider
- What truly sets award-winning trading infrastructure apart
- Key trends shaping institutional trading, including technology and AI
- The importance of transparency, ethics, and reputation in long-term success
- OnePrime’s vision for growth over the next 12–24 months
Fresh from winning Finance Magnates’ Best Trading Infrastructure Broker, Jerry explains how experience, mentorship, and real-world problem solving form the “special sauce” behind OnePrime’s institutional offering.
🏆 Award Highlight: Best Trading Infrastructure Broker
👉 Subscribe to Finance Magnates for more executive interviews, market insights, and exclusive coverage from the world’s leading financial events.
#FMLS25 #FinanceMagnates #OnePrime #InstitutionalTrading #Liquidity #TradingInfrastructure #ExecutiveInterview
How does the Finance Magnates newsroom decide which updates are worth covering? #financenews
How does the Finance Magnates newsroom decide which updates are worth covering? #financenews
What makes an update worth covering in financial media?
According to Yam Yehoshua, Editor-in-Chief at Finance Magnates, editorial focus starts with relevance: stories that serve the industry, support brokers and technology providers, and help decision-makers navigate their businesses.
A reminder that strong financial journalism is built on value, not volume.
What makes an update worth covering in financial media?
According to Yam Yehoshua, Editor-in-Chief at Finance Magnates, editorial focus starts with relevance: stories that serve the industry, support brokers and technology providers, and help decision-makers navigate their businesses.
A reminder that strong financial journalism is built on value, not volume.
