March 29, 2023

Hong Kong set to shortlist crypto tokens for retail trading - Reuters

By Jesse Hull on Jan 25, 2023

Welcome to our AI Robot Trader website! Thank you for taking the time to read our collected news articles on bitcoin, crypto, and forex. We hope you have found the information on our site to be valuable and informative. At AI Robot Trader, we are dedicated to providing the latest news and insights on the world of automated trading and cryptocurrency. We believe that these technologies have the potential to revolutionize the way we do business and invest, and we are excited to share our knowledge and expertise with our readers. We are also pleased to announce that our website is for sale to the right person looking to partner with us. If you are interested in leveraging the power of AI and machine learning to revolutionize your trading and investing strategies, we would love to hear from you. Thank you again for visiting our website. We hope you will continue to follow us for the latest updates and insights in the world of AI robot trading and cryptocurrency.


[1/2] A general view showing the Central Business District, in Hong Kong, China, September 15, 2021. REUTERS/Tyrone Siu

HONG KONG, Jan 11 (Reuters) - Hong Kong securities watchdog will propose a subset of tokens it would allow for retail investors' trading, its chief executive said on Wednesday, as it presses on with a new regulatory regime that will make the city more friendly to crypto startups.

As investor protection will continue to be the focus of the new virtual asset service provider (VSAP) regime, the Securities and Futures Commission (SFC) will also seek public views about specific guardrails for retail trading, said Julia Leung, chief executive officer at the commision.

"Virtual assets have in the past year gone from peak to low (price) levels. The good thing is that when the froth is taken out from the system as platforms and some tokens collapsed, it focuses investors and sellers' minds on investor protection," Leung said at a panel discussion at the Asian Financial Forum in Hong Kong on Wednesday.

Hong Kong's move to allow retail trading in cryptocurrencies has come after months of turmoil in the sector, with the collapse of crypto exchange FTX the latest blow.

Bitcoin, the biggest cryptocurrency, has lost more than 70% of its value since hitting a record high in November 2021.

The SFC will start accepting applications for VASP licences, in mid 2024, Leung said. The new crypto regime requires all trading platforms and exchanges to apply for a licence failing which would result in fines and jail terms,

Industry sources have said they expected the consultation on retail trading to start within the first quarter. Leung said the tokenization of investment funds and bonds will also fall under the purview of the SFC.

(This story has been refiled to update Leung's title in the second paragraph)

Reporting by Georgina Lee; Editing by Kim Coghill

Our Standards: The Thomson Reuters Trust Principles.


AI robot trading is the use of artificial intelligence (AI) and machine learning algorithms to analyze financial markets and execute trades automatically. AI robots are able to analyze vast amounts of data and make decisions based on that analysis, allowing them to identify trading opportunities that might be missed by human traders. One key aspect of AI robot trading is machine learning, which is a type of AI that enables systems to learn and improve their performance over time. Machine learning algorithms are able to analyze data and use it to make predictions or decisions without being explicitly programmed to do so. This allows them to adapt and improve their performance as they are exposed to more data. There are several techniques that can be used in AI robot trading, including: Decision trees: These are algorithms that use a tree-like structure to make decisions based on multiple conditions. Neural networks: These are algorithms that are inspired by the structure and function of the human brain, and are capable of learning and adapting based on input data. Genetic algorithms: These are algorithms that use principles of genetics and natural selection to optimize and improve their performance over time. Reinforcement learning: This is a type of machine learning that involves an AI agent receiving rewards or punishments for certain actions, and using that feedback to learn and adapt its behavior. By using these and other techniques, AI robot traders are able to analyze financial data and make informed decisions about when to buy and sell assets. This can help them achieve better returns and outperform human traders in some cases.


Source: https://www.reuters.com/technology/hong-kong-set-shortlist-crypto-tokens-retail-trading-2023-01-11/