The Hong Kong-based brokerage debuts a platform for retail users that offers autonomous portfolio management.
The app was built on a proprietary multi-agent architecture, as the global AI trading market is projected to reach $33 billion by 2030.
Source: Nasdaq
Waton
Financial Limited released TradingWTF, a trading app that uses artificial
intelligence to make investment decisions and execute trades without human
intervention.
The company is listed on Wall Street under the
pleasantly sounding ticker WTF, a symbol that neatly captures investors’
reactions as they look at the chart of a stock now testing its historical lows.
Waton Financial Debuts AI App
TradingWTF
The
platform runs on what the company calls DePearl, a multi-agent system that
trains AI traders using input from investment professionals. Users can hand
over portfolio management to these AI traders through a copy trading function,
the company said.
Waton hopes
the app will attract retail investors who want access to algorithmic trading
methods typically used by institutional players. The company also sees revenue
potential from subscription services it plans to add later, including stock
analysis reports and market monitoring tools.
“The launch
of TradingWTF marks a pivotal step in our vision towards becoming an AI-agents
holding company for finance and beyond,” said Kai Zhou, Chairman of Waton
Financial Limited. “TradingWTF is designed to enable investors to benefit from
autonomous agents that learn, adapt and execute with institutional-grade
precision.”
Institutional
investors have been the primary users of AI trading tools due to their large
trading volumes and ability to invest in advanced systems. But retail-focused
platforms are gaining ground. About one in six regular retail investors now
engages in copy trading, recent research by GraniteShares found.
TradingWTF
operates around the clock and processes market data in real time before
executing trades. The system is designed to work across multiple asset classes.
Waton
announced an expanded partnership with Panda AI two days before the TradingWTF
launch. The companies are collaborating on AI agent development and
co-organizing a competition for AI trading agents. Waton will use Panda AI's
technology to refine its DePearl system.
“In the
coming phases, we expect to introduce a subscription model that will provide
stock-trend analysis, AI-driven market monitoring and professional review
reports,” Zhou added. “We anticipate that these services will create scalable
recurring revenue streams and contribute to Waton’s long-term growth.”
The company
operates securities brokerage, asset management, and software licensing
businesses through Hong Kong subsidiaries.
Waton
trades on Nasdaq under the ticker WTF. The stock closed at $3.09 yesterday
(Wednesday), testing the all-time lows since the April’s Wall Street debut when
the shares surged 360% in one day.
Waton
Financial Limited released TradingWTF, a trading app that uses artificial
intelligence to make investment decisions and execute trades without human
intervention.
The company is listed on Wall Street under the
pleasantly sounding ticker WTF, a symbol that neatly captures investors’
reactions as they look at the chart of a stock now testing its historical lows.
Waton Financial Debuts AI App
TradingWTF
The
platform runs on what the company calls DePearl, a multi-agent system that
trains AI traders using input from investment professionals. Users can hand
over portfolio management to these AI traders through a copy trading function,
the company said.
Waton hopes
the app will attract retail investors who want access to algorithmic trading
methods typically used by institutional players. The company also sees revenue
potential from subscription services it plans to add later, including stock
analysis reports and market monitoring tools.
“The launch
of TradingWTF marks a pivotal step in our vision towards becoming an AI-agents
holding company for finance and beyond,” said Kai Zhou, Chairman of Waton
Financial Limited. “TradingWTF is designed to enable investors to benefit from
autonomous agents that learn, adapt and execute with institutional-grade
precision.”
Institutional
investors have been the primary users of AI trading tools due to their large
trading volumes and ability to invest in advanced systems. But retail-focused
platforms are gaining ground. About one in six regular retail investors now
engages in copy trading, recent research by GraniteShares found.
TradingWTF
operates around the clock and processes market data in real time before
executing trades. The system is designed to work across multiple asset classes.
Waton
announced an expanded partnership with Panda AI two days before the TradingWTF
launch. The companies are collaborating on AI agent development and
co-organizing a competition for AI trading agents. Waton will use Panda AI's
technology to refine its DePearl system.
“In the
coming phases, we expect to introduce a subscription model that will provide
stock-trend analysis, AI-driven market monitoring and professional review
reports,” Zhou added. “We anticipate that these services will create scalable
recurring revenue streams and contribute to Waton’s long-term growth.”
The company
operates securities brokerage, asset management, and software licensing
businesses through Hong Kong subsidiaries.
Waton
trades on Nasdaq under the ticker WTF. The stock closed at $3.09 yesterday
(Wednesday), testing the all-time lows since the April’s Wall Street debut when
the shares surged 360% in one day.
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
FM Intelligence Volume Rank: History, Present and Future
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