Fundamentals in Practice
Everything so far has covered a mechanism on its own. This lesson walks through scenarios that combine them — the kind of situations that confuse traders who haven't built the framework. These are simplified, illustrative examples, not verified historical case studies with specific dates or figures — use them to check whether you can follow the reasoning, then apply the same process to real, current data.
Why the Nasdaq can fall despite a strong jobs report
The setup: Nonfarm Payrolls comes in well above forecast. The instinctive assumption: stronger jobs data should be unambiguously good for stocks.
What actually happens: The Nasdaq falls sharply. A labour market running hotter than expected raises the risk the Fed stays hawkish for longer than priced in. Higher-for-longer rate expectations raise the discount rate applied to future earnings, and that hits richly-valued growth and tech names hardest — exactly what the Nasdaq is concentrated in. The jobs data was genuinely strong; it was also bad news for the rate path stocks needed.
🎯 Always run the "beat vs forecast" and "which index is most exposed" checks together — a "good" number doesn't automatically mean a good day for the index if it pushes rate expectations the wrong way.
Why the S&P 500 can rally after a Fed rate hike
The setup: The Fed raises rates. The instinctive assumption: a hike should be straightforwardly bad for equities.
What actually happens: The S&P 500 rallies immediately. The hike itself matched what was already priced in, but the guidance signals this is likely the last hike in the cycle — when the market had been pricing in at least one more. The decision was technically tighter policy; the guidance was more dovish than expected, and the guidance is what moved price.
How CPI can change Fed expectations
The setup: Core CPI comes in meaningfully below forecast, continuing a multi-month cooling trend.
What actually happens: Rate futures immediately reprice a higher probability of earlier cuts. Yields fall as the market pulls forward its easing timeline. Growth and tech names lead a broad rally — not for company-specific reasons, but because the discount-rate assumption behind their valuations just improved off one release.
How falling yields can lift growth stocks specifically
The setup: The 10-year yield falls sharply over several sessions on cooling growth expectations, while near-term Fed policy stays unchanged.
What actually happens: Growth and tech stocks are valued heavily on earnings expected far into the future, making them unusually sensitive to the discount rate implied by long-term yields. As the 10-year falls, that discount rate falls with it, and the present value of those distant earnings rises — the Nasdaq outperforms the Dow over the same stretch, driven by the yield move rather than anything company-specific.
Why oil prices can move indices differently
The setup: A sudden supply disruption pushes oil sharply higher over a few sessions.
What actually happens: Energy stocks benefit directly, while sectors sensitive to input costs (airlines, transport, some industrials) come under margin pressure. A broad index like the S&P 500 can end up roughly flat on the day even as energy and transport stocks move sharply in opposite directions — the aggregate number hides a real, sector-driven story underneath.
How a risk-off shock can hit small caps hardest
The setup: A sudden geopolitical shock triggers a sharp, broad risk-off move across global markets.
What actually happens: The Russell 2000 falls further than the S&P 500 or Dow. Small-caps are more sensitive to credit conditions and domestic strength, and investors cut riskier exposure fastest during a shock — even though nothing about any individual company's business changed that day. The move is a broad shift in risk appetite overriding each index's normal, data-driven behaviour.
📊 Notice the common thread: in every case, the surprising move only becomes logical once you check what was already priced in, which sectors and indices are most sensitive to that driver, and the broader risk backdrop.
🚫 Don't read financial news after the fact and accept the first single-cause explanation offered. Real moves are usually several of these forces interacting at once — practice tracing through the full process yourself before settling on an explanation.