Asset Management

(Dummy Course) [Webinar] Algo Trading – Implementation and Risk Management

概要

Algo trading is a contemporary financial trading approach which executes trade orders using pre-determined and automated trading instructions accounting for variables such as price, volume, time and pattern.

This course will cover the history, development, implementation and risk management of algo trading in Hong Kong. The speaker will highlight the associated risks and demonstrate how to mitigate the risks with back testing, forward testing and stress testing. On the regulatory front, the circulars / guidelines issued by local regulators and the enforcement cases on algo trading will be addressed.

內容

• History of algo trading
• Advantages and limitations of algo trading
• Life cycle of algo trading
• Algo trading in Hong Kong
• Risk management: back testing, forward testing and stress testing
• Regulatory requirements and compliance practices

對象

• Compliance, risk management and legal professionals
• Hedge fund managers
• Quantitative traders
• IT professionals supporting the operations of algo trading

導師/講者

林日辉
Dr. Lam Yat-fai is the Chief Data Scientist of Strategic Data Science Limited and the Adjunct Professor of Finance, City University of Hong Kong. He graduated from City University of Hong Kong with a Doctor of Business Administration degree and holds the CFA, CAIA, CAMS, CFE, FRM, PRM, MCSE and MCNE professional designations, specializing in the areas of machine learning, cryptocurrencies and anti-money laundering. Before transforming to a financial technologist, Dr. LAM worked for bank regulator, international bank and sovereign wealth fund.

詳情

活動編號
TPPAM26001201
日期及時間
2026年6月14日, 星期日 (2:45下午 - 3:00下午)
地點
虛擬平台
相關主題
第1類 - 證券交易
第2類 - 期貨合約交易
第4類 - 就證券提供意見
第9類 - 提供資產管理
語言
英文
課程時數
SFC:1.00, PWMA:1.00
費用
所有會員: HK$10
機構會員員工: HK$10
非會員: HK$15
香港證券及投資學會員工: HK$0