Key Takeaways

• Richard Schirripa, a seasoned New York pharmacist and former CEO, applies disciplined analysis to interpreting economic data for sector insights.
• Not all economic indicators affect every sector equally; filtering by relevance improves clarity and decision-making.
• Indicators are classified as leading, coincident, or lagging, offering forward-looking signals, real-time context, and confirmation of trends.
• Timeframes matter: short-term data like jobless claims guide tactics, while GDP growth informs long-term strategy.
• Reliable sources, structured tracking systems, and confirmation across multiple indicators ensure accuracy and reduce noise.
• Sector-specific filtering helps align investment decisions, sector rotations, and trade planning with evidence-backed signals.