Tiger Brokers started the user testing phase of TigerGPT in April.
Now, the AI-powered service is available to a broader base of customers.
Tiger Brokers
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.
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 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.
Example of beta tester’s comment. Source: Tiger Brokers
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 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.
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.
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 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.
Example of beta tester’s comment. Source: Tiger Brokers
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 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.
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.
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📣 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:
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In this video, we take an in-depth look at @BlueberryMarketsForex , a forex and CFD broker operating since 2016, offering access to multiple trading platforms, over 1,000 instruments, and flexible account types for different trading styles.
We break down Blueberry’s regulatory structure, including its Australian Financial Services License (AFSL), as well as its authorisation and registrations in other jurisdictions. The review also covers supported platforms such as MetaTrader 4, MetaTrader 5, cTrader, TradingView, Blueberry.X, and web-based trading.
You’ll learn about available instruments across forex, commodities, indices, share CFDs, and crypto CFDs, along with leverage options, minimum and maximum trade sizes, and how Blueberry structures its Standard and Raw accounts.
We also explain spreads, commissions, swap rates, swap-free account availability, funding and withdrawal methods, processing times, and what traders can expect from customer support and additional services.
Watch the full review to see whether Blueberry’s trading setup aligns with your experience level, strategy, and risk tolerance.
📣 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
#Blueberry #BlueberryMarkets #BrokerReview #ForexBroker #CFDTrading #OnlineTrading #FinanceMagnates #TradingPlatforms #MarketInsights
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- Exness’s marketing approach in South Africa
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- Customer retention vs. acquisition strategies
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- Managing growth across emerging markets
👉 Watch the full interview for fundamental insights into the future of trading in Africa.
#Exness #Forex #Trading #SouthAfrica #CapeTown #Finance #FinanceMagnates
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Filmed during the grand opening of Exness’s new Cape Town office, Alfonso sits down with Andrea Badiola Mateos from Finance Magnates to discuss:
- Exness’s marketing approach in South Africa
- What makes their trading product stand out
- Customer retention vs. acquisition strategies
- The role of local influencers
- Managing growth across emerging markets
👉 Watch the full interview for fundamental insights into the future of trading in Africa.
#Exness #Forex #Trading #SouthAfrica #CapeTown #Finance #FinanceMagnates
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⚖ Balanced reporting
📞 Right of response
📰 Responsible journalism
#FinanceMagnates #FinancialJournalism #ResponsibleReporting #FinanceNews #EditorialStandards
Yam Yehoshua, Editor-in-Chief at Finance Magnates, explains the approach: reaching out before publication, hearing all sides, and making careful, case-by-case decisions with balance and responsibility.
⚖ Balanced reporting
📞 Right of response
📰 Responsible journalism
#FinanceMagnates #FinancialJournalism #ResponsibleReporting #FinanceNews #EditorialStandards
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We finish with a look at how he uses AI in his daily workflow — both inside the brokerage and in his own trading.
Here is our conversation with Kieran Duff, who brings a rare dual view of the market as both a broker and a trader at Darwinex.
We begin with his take on the Summit and then turn to broker growth. Kieran shares one quick, practical tip brokers can use right now to improve performance. We also cover the rising spotlight on prop trading and whether it is good or bad for the trading industry.
Kieran explains where Darwinex sits on the CFDs-broker-meets-funding spectrum, and how the model differs from the typical setups seen across the market.
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📰 Verified reporting
🔎 Human-led scrutiny
✅ Facts over noise
According to Yam Yehoshua, Editor-in-Chief at Finance Magnates, in a world flooded with information, the difference lies in rigorous cross-checking, human scrutiny, and a commitment to publishing only factual, trustworthy reporting.
📰 Verified reporting
🔎 Human-led scrutiny
✅ Facts over noise