Discussion Points:
- How to leverage big data and machine learning to identify market turning points early.
- Emphasis on momentum and trend analysis across different asset groups.
- How high-conviction signals enable quicker, smarter decisions for traders and portfolio managers.
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Discussion Points:
- How alternative data such as website visits, search trends, and app usage could be used to seek to predict company performance ahead of Wall Street analysts
- How machine learning turns this data into real trading signals, and
- How to construct portfolios - long, hedged, and market-neutral - based on these insights.
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