We believe in creating stable and sustainable investment returns
Rigorous risk management is the priority of our business
Technology has always been in our DNA, and will continue to take center stage at our business
About Us
Eagle Trader Asset Management Limited is headquartered in Hong Kong, China and holds licenses No. 4 and No. 9 issued by the Hong Kong Securities and Futures Commission (license number: BHO336)
EagleTrader has established a comprehensive risk management mechanism, including investment decision review, trading monitoring, performance evaluation, and other aspects, to comprehensively control the risks of client assets. At the same time, regular compliance reviews are conducted to ensure that operations are legal and compliant.
Eagle Trader Asset Management Limited, headquartered in Hong Kong, China, has No. 4 and No. 9 licenses (license number: BHO336) issued by the Hong Kong Securities Regulatory Commission. Eagle Quantification has established good cooperation relations with financial institutions in Hong Kong, Chinese Mainland, Taiwan, China, Japan and other Asian countries and regions, so that customers can connect with the global financial market.
Our Vision
Re-define the financial market
- The world’s leading innovative trading infrastructure
- Across multiple channels, times zones and borders
- Low latency, high resilience and security
Be the pioneer in quantitative finance & algo trading
- Create value by providing tailor-made solution supported by our extensive algo trading experience
- Leverage innovative ICT capabilities and a team of world-class professionals
Perform our social responsibilities
- Educate and promote quantitative finance amongst students
- Empower their career growth
Our Unique Strengths
As a first mover in the field, we have the unique strengths to combine the following key success factors:
Big Data Analytics
Better trading decisions can be brought as they are driven by mathematical / statistical models built upon big data analytics and thorough research on market behavior.
Low latency system
Timely reaction to market events faster than the competition increases profitability
Time Series Database
The time series database of CAFG supports the research & development, trading process and the post-trade analysis.
Real-Time Risk Management
Application of in-house risk monitoring interface and a centralised market/trading data analytics system help minimise risk around trading decisions. Our risk management mechanism includes both pre-trade controls and post-trade monitoring. Pre-trade controls are adopted in strategy development, trading execution and capital management, followed by immediate risk detection through post-trade monitoring.
Access to the World's Major Exchanges
CAFG stands out as one of Hong Kong’s leading FinTech firms, with trading connectivity to major global exchanges, including CME, SGX, HKEx, and key Commodities and Financial Futures Exchanges in China. Our advanced infrastructure enables rapid market access and execution across diverse asset classes, empowering clients to capture opportunities and maximize returns with speed and precision.
Diversified media
CAFG has a versatile platform supporting various types of strategies to be adopted for different products.
Strategies: Statistical Arbitrage, Trend-following, Mean Reversion, Multi-factor model
Products: Futures, Options, ETF, Equities
Incubation
We provide a Platform as a Service to incubate and co-develop new trading strategies with you. We welcome algo traders, quant strategists, and academia who want to research, develop, test, and launch their trading ideas. The platform will provide multi-asset class and exchange data for backtesting, simulator for paper trading, seed funding for pilot test and building track record on path to launching a hedge fund with you as the fund manager. We also provide all-round support from fund administration, marketing & distribution, legal & compliance, risk management, IT as well as company secretarial matters.
Inter-University Algo Trading Contest http://www.sky-ai-limited.com/index.html
Our One-Stop Algo Trading Solution
With our One-Stop Algo Trading Solution, we are committed to creating stable and sustainable investment returns for our clients.
1. Back Testing (Historical Data)
A simulation of trading strategy is done on relevant past data in order to gauge its effectiveness.
2. Paper Trade Testing (Real-Time Market Data Feed)
Real-time market data is used to test the effectiveness of the trading strategy.
3. Pilot Testing & Pre-production Risk Assessment
Pilot testing is a trial run of the trading process which can help catch potential problems. Pre-production Risk Assessment is conducted to identify any risks that could occur during the trading process.
Key Development
-
SKY AI Trading Challenge 2023
-
Established CASH Multi Asset Fund SPC
-
Manage four quantitative private equity funds
-
Manage the first quantitative private equity fund
-
Obtained the asset management license from SFC
-
Research center set up at the Hong Kong Science Park
-Research & Development on one-stop trading solutions platform and a wide spectrum of trading strategies -
CAFG, a pioneer in Asia, founded
-The first algo-trading strategy launched-Expanded into global markets/products: equities, derivatives, commodities, index futures, currencies, etc. -
Corporate mission of CASH Group (HKSE:1049) set to marry advanced technology with financial services
TEAMS
Dr Bankee Kwan, BBS, JP
Prof Hilton Chan
Prof Alred Ma
Cliff Cheung
Jeffrey Kwan
Morton Cheung
Angela Wong
Our Clients
Our clients are like-minded professional investors:
- High Net Wealth Individuals
- Endowment Fund investors
- Pension Fund investors
- Sovereign Fund investors
Together with our clients, we would achieve investment goals of:
- Stable return
- Rigorous risk control
- Pension Fund investors
- Strict Discipline
Our team and clients share the belief in rule-based methodologies, empowering mathematical and statistical models driven by advanced technology.
AWARDS
MEDIA
The following articles are the media coverage of CAFG:
機構參訪|金融工程碩士學生參訪時富量化金融集團
Sohu 20 March 2019
SKY AI
HKSTP 2019
【時富金融】投資快人一步 全靠大數據運算
HK01 15 October 2018
時富舉辦大學校際演算交易比賽 清華復旦港大勇奪三甲
Grand Times 1 April 2017
時富量化金融主辦 第二屆大學校際演算交易比賽圓滿舉行
Hong Kong Commercial Daily 28 February 2017
從Algo看年輕人無限創意
Metro Daily 22 February 2017
校際演算交易比賽 北京清華大學摘冠
Sing Pao 20 February 2017
大學演算交易比賽 清華奪冠
Metro Daily 20 February 2017
投資賽清華復旦壓港大
Hong Kong Economic Journal 20 February 2017
陳家強指政府未來希望提供更多支持予金融科技訓練活動
RTHK 19 February 2017
陳家強:未來冀更多支持金融科技訓練活動
Hong Kong Economic Journal Financial News 19 February 2017
陳家強指本港金融科技公司吸引逾三億美元資金
881903.com 19 February 2017
投資 U WIN:學界鍊大鱷 鬥膽「式」
Oriental Daily 3 May 2016
【職場浮世繪】裝備自己 趕上FinTech潮流
cpjobs.com 15 April 2016
裝備自己 趕上FinTech潮流
JiuJik 15 April 2016
時富舉辦全港首個大學「演算交易」爭霸戰 參賽作品有機成合作投資項目推出市場
Ta Kung Pao 12 April 2016
時富量化金融首辦「演算交易」爭霸戰
Hong Kong Commercial Daily 8 April 2016
時富舉辦首個大學「演算交易」比賽港大生奪冠
CT goodjobs 24 March 2016
Incubation
We provide an algo incubation service to assist algo traders, quant strategists, and academia who want to research, develop, test and launch their trading ideas. We can help to develop and program the trading strategies, execute trades, provide funding, control risks, as well as supporting legal, operational and administrative matters.
For algo traders who have existing models, we can provide back-test and verification services to test out the models in other markets.
Co-operation with Universities
CAFG co-operates with colleges and universities from world’s top-notched institutions including:
- Boston University
- City University of Hong Kong
- Columbia University
- Harvard University
- Massachusetts Institute of Technology
- Stanford University
- The Chinese University of Hong Kong
- The Hong Kong University of Science and Technology
- The University of Hong Kong
(listed in alphabetical order)
- Inter-University Algo Trading Contest http://www.sky-ai-limited.com/
Contact Us
If you are interested in finding out more about our services, please contact us at:
Address
Hong Kong
Room A, 1st Floor, Chi Fu Commercial Building, 116-118 Ma Tau Wai Road, To Kwa Wan, Kowloon