In this episode I speak to Wenqi Zhou, a quantitative researcher currently on gardening leave after stints at Balyasny and Citi.

In our conversation, Wenqi and I discuss the different uses of data on the sellside and the buyside, and her view on the current state of the China market.

I will be moderating the New Provider Showcase at Battlefin London on November 21st, do come and say hi if you’re there.

DISCLAIMER

This podcast is an edited recording of an interview with Wenqi Zhou recorded in November 2024. The views and opinions expressed in this interview are those of Wenqi Zhou and Mark Fleming-Williams and do not necessarily reflect the official policy or position of either CFM or any of its affiliates. The information provided herein is general information only and does not constitute investment or other advice. Any statements regarding market events, future events or other similar statements constitute only subjective views, are based upon expectations or beliefs, involve inherent risks and uncertainties and should therefore not be relied on. Future evidence and actual results could differ materially from those set forth, contemplated by or underlying these statements. In light of these risks and uncertainties, there can be no assurance that these statements are or will prove to be accurate or complete in any way.

Hosted on Acast. See acast.com/privacy for more information.

In this episode I speak to Tom Liu, founder of ChinaScope and invaluable guide to the Chinese market.

In our conversation, Tom and I discuss his data offering and the development of China’s attitudes towards data, as well as the buyers and sellers of alternative data in China today.

In other news, I will be moderating the New Provider Showcase at Battlefin London on November 21st. If you are a new data provider and would like to enter, please do get in touch with me.

DISCLAIMER

This podcast is an edited recording of an interview with Tom Liu recorded in November 2024. The views and opinions expressed in this interview are those of Tom Liu and Mark Fleming-Williams and do not necessarily reflect the official policy or position of either CFM or any of its affiliates. The information provided herein is general information only and does not constitute investment or other advice. Any statements regarding market events, future events or other similar statements constitute only subjective views, are based upon expectations or beliefs, involve inherent risks and uncertainties and should therefore not be relied on. Future evidence and actual results could differ materially from those set forth, contemplated by or underlying these statements. In light of these risks and uncertainties, there can be no assurance that these statements are or will prove to be accurate or complete in any way.

Hosted on Acast. See acast.com/privacy for more information.

In this episode I am delighted to welcome back Abraham Thomas, the co-founder of Quandl and now angel investor and haver of interesting thoughts.

In our conversation, we dig into the varios impacts of AI and LLMs specifically on the alternative data and hedge fund worlds, exploring the winners, losers and potential futures that might come out of this technological breakthrough.

Separately, I will be speaking at the Quant Strats event in London this Tuesday so do say hi if you happen to be there too.

DISCLAIMER

This podcast is an edited recording of an interview with Abraham Thomas recorded in October 2024. The views and opinions expressed in this interview are those of Abraham Thomas and Mark Fleming-Williams and do not necessarily reflect the official policy or position of either CFM or any of its affiliates. The information provided herein is general information only and does not constitute investment or other advice. Any statements regarding market events, future events or other similar statements constitute only subjective views, are based upon expectations or beliefs, involve inherent risks and uncertainties and should therefore not be relied on. Future evidence and actual results could differ materially from those set forth, contemplated by or underlying these statements. In light of these risks and uncertainties, there can be no assurance that these statements are or will prove to be accurate or complete in any way.

Hosted on Acast. See acast.com/privacy for more information.