The Alternative Data Podcast The Wenqi Zhou Episode
Nov 20, 2024
Wenqi Zhou, a quantitative researcher with experience at Balyasny and Citi, dives into the nuanced world of alternative data. She breaks down how sell-side traders utilize data for risk management and trading strategies. Wenqi discusses the transformative impact of AI on productivity and the evolving role of data across investment horizons. She also shares her insights on the China market, emphasizing the importance of policy changes and the unique characteristics of its market structure. Plus, she draws intriguing parallels between music and investing.
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Episode notes
Mixing Options, Fundamentals And Sentiment
- Wenqi used a wide spectrum of datasets including sentiment, flow, risk factors, fundamentals, ESG and options to find trading edges.
- Options data can inform equity trades but the usefulness depends on finding the right real-world angle.
Alpha Erodes As Crowding Grows
- Early movers in niche data domains enjoy alpha but patterns attract attention and crowding, which erodes returns over time.
- The industry repeats this cycle: early edge, media attention, then crowding and fade.
Define Universe Before Hunting Data
- On the buy side, set your investment universe and risk framework first, then apply data that fits your style and time horizon.
- Use data to refine entry/exit, stop-loss and portfolio construction instead of chasing every new dataset.