
Making Sense Trading Insights: Why macro matters for systematic investors
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Sep 26, 2025 Ralph Sueppel, Managing Director at MacroSynergy, brings his expertise in quantitative finance and macroeconomics to the discussion. He explains the significance of point-in-time data in developing reliable investment strategies through J.P. Morgan's Quantamental System. Ralph dives into the common pitfalls of revised data affecting backtests, and highlights where macro alpha can be found across various asset classes. He also touches on using machine learning for sector predictions and discusses why many investors overlook the value of macro insights.
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Always Use Point-In-Time Data
- Use point-in-time (vintage) macro data to reconstruct what markets knew at each date.
- This enables scientific analysis and meaningful backtests, Ralph warns.
Revisions Can Destroy Backtest Credibility
- Using revised (non-vintage) data creates two error types that distort backtests.
- Type two—seeing value where none existed—is especially damaging to live performance.
Building Vintages Required A Big Partnership
- Ralph recounts the high cost and effort to build vintage macro datasets, including digging through archives and contacting statistical offices.
- This led to the partnership between MacroSynergy and J.P. Morgan to create JPMaQS.
