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- Artificial Intelligence Application in Algorithmic Trading: Two-day Workshop
Organised by SBMA, 16 & 18 October 2018
- Malaysia’s Precious Jewellery Market
By Ermin Siow, President, Federation of Goldsmiths and Jewellers Association of Malaysia, 2014-2018
- Why Do Turkish Banks Hold Gold at the Turkish Central Bank?
By Aslı Şahin, FX & Precious Metals Specialist
- The Impact of Artificial Intelligence on Trading and Finance
By Gordon Cheung, Deputy Chief Executive, SBMA and Avirath Kakkar, Head of Strategy, EIS Global Capital Management
- Gold and Blockchain: A Win-Win Combination
By Nikita Knyazev, Head of Commerce, A-Ventures
- SBMA News
By Albert Cheng, CEO, SBMA
Article List
- Artificial Intelligence Application in Algorithmic Trading: Two-day Workshop
Organised by SBMA, 16 & 18 October 2018
- Malaysia’s Precious Jewellery Market
By Ermin Siow, President, Federation of Goldsmiths and Jewellers Association of Malaysia, 2014-2018
- Why Do Turkish Banks Hold Gold at the Turkish Central Bank?
By Aslı Şahin, FX & Precious Metals Specialist
- The Impact of Artificial Intelligence on Trading and Finance
By Gordon Cheung, Deputy Chief Executive, SBMA and Avirath Kakkar, Head of Strategy, EIS Global Capital Management
- Gold and Blockchain: A Win-Win Combination
By Nikita Knyazev, Head of Commerce, A-Ventures
- SBMA News
By Albert Cheng, CEO, SBMA
Artificial Intelligence Application in Algorithmic Trading: Two-day Workshop16 & 18 October 2018 |
With hundreds of prices flashing on and off the electronic platforms every millionth of second and unforeseeable market-moving news hitting the screens at any moment, to capture a perfect trade at lightning speed can no
longer be accomplished by mere numeric computation or formulae-driven programmes, not to mention the obsolete reliance on human naked eyes and nimble fingers. With the evolution of AI technology picking up speed in the
past decade, automation of trading has been empowered by advanced algorithms that teach machines to perform reasoning, data crunch, news analysis, trade decision making, price capturing, and trade execution the human way
but all in less than a millionth second or even in nano-second.
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Course Details (Subject to changes)
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Course Content | ||||||||
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Speakers
Avirath Kakkar Avirath is the head of strategy at EIS Global, an algorithmic trading firm trading liquid financial markets across the globe. Avirath is obsessed with the application of data science to financial markets. He spends huge amount of his time on portfolio optimization and in the search of alpha through the application of data science algorithms. He started this journey in 2014 and has spent countless hours understanding and applying decision trees, neural networks, memory models, reinforcement learning algorithm's and the like. He firmly believes the extent and scope of what data science can do is near infinite. Prior to starting his firm in 2016, Avirath was a fund manager at Balyasny Asset Management co-running a portfolio with USD 350mm under management. Before Balyasny, he worked at JP Morgan in the commodity structuring and at Standard Bank managing precious metal global option book out of Asia. Arvin Sahni Arvin has 10 years of work experience in data science, financial markets and software engineering. She started her career with Oracle India as a member of the e-business suite application development team. After completing her MBA, she joined Citibank in Singapore specializing in providing structured investor solutions for commodity assets before moving to a sales role covering both corporate and institutional clients from the metals markets in APAC ex Japan and Australia. With a strong career graph thus far, Arvin decided to shift her focus to her passion in Data Sciences. She enrolled into the UC Berkeley's Master in Information and Data Science. While pursuing her masters, Arvin joined Limnah Capital Pte Ltd., a macro hedge fund, as a board member with the responsibility of developing algorithmic trading strategies based on machine learning. Tianyi Zhang Tianyi recently joined EIS as a research associate. He was offered full scholarship to study in National University of Singapore majoring in electrical engineering. During his study, he found his interests in Data Science and pursued a Master in statistics at NUS therefore. With the passion in applying Machine Learning to financial market, he joined EIS after his graduation. |
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Register Now | ||||||||
For more information, please visit sbma.org.sg or contact Lynn at +65 6823 8011 / lynn.yap@sbma.org.sg. | ||||||||
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