How SPY Moves on Fed Days: A Decade of Data

Fed Days Are the Biggest Scheduled Market Movers

The 8 FOMC meetings each year are the most consistently impactful scheduled events on the S&P 500's calendar. Across 2016-2026, SPY's average Fed-day return has been roughly +0.2% with a win rate near 53%. Standard deviation has been about 0.9% — roughly 1.5x higher than a typical non-Fed day.

That's a modest-looking average, but it hides significant variance in the underlying distribution. SPY's biggest Fed-day gains have exceeded +2.5%, and the biggest losses have reached -3%. For an index with a typical daily move near 0.8%, those are meaningful outliers.

Dovish vs Hawkish: The Cleanest Asymmetry in Markets

Splitting SPY Fed days by perceived tone produces one of the cleanest asymmetries in the market data. Dovish Fed days (cuts, pauses, or dovish surprises) have averaged roughly +0.8% with a win rate near 65%. Hawkish Fed days (hikes, or hawkish surprises) have averaged roughly -0.6% with a win rate near 40%. Neutral days have averaged roughly +0.1% — essentially a random walk.

The dovish/hawkish split explains more of SPY's Fed-day variance than any other single factor. For traders, this means trying to forecast the Fed's tone (via fed funds futures, dot plot shifts, and recent communication) matters more than guessing the exact decision.

• Dovish Fed days: ~65% win rate, ~+0.8% average return
• Hawkish Fed days: ~40% win rate, ~-0.6% average return
• Neutral Fed days: ~53% win rate, ~+0.1% average return
• Standard deviation of Fed-day returns: ~0.9%

The 2:30pm Reversal Pattern

One of the most well-known Fed-day patterns is the 2:30pm reversal. The initial 2pm statement release often produces a sharp move, which then partially or fully reverses during the 2:30pm press conference as the Chair's tone clarifies or contradicts the written statement. Historically, SPY's 2pm-to-2:30pm move and its 2:30pm-to-4pm move have had a correlation of roughly -0.35 — a meaningful negative relationship.

Practically, this means trading the initial 2pm move is often a trap. The cleaner signal has historically been the 2:30pm-to-4pm move, which reflects the market's digestion of the full Fed communication rather than just the statement headline.

Post-Fed Drift: 1-Day vs 5-Day

SPY's 24-hour post-Fed return (close of Fed day to close of next day) has averaged roughly +0.1% with a 54% win rate — basically flat, though slightly positive. By day 5, the signal has dissipated entirely. SPY's 5-day forward returns post-Fed don't show any meaningful edge versus unconditional baselines.

The Fed-day effect is short-lived for SPY. Traders expecting 'the Fed tailwind' to carry for weeks are usually capturing noise rather than alpha. The action happens in the first 24-48 hours after the announcement and then fades.

Using the Data

A practical workflow: before the Fed announcement, check fed funds futures pricing for the most likely tone. During the 2:30pm press conference, watch SPY's directional move for the cleaner signal. After the close, pull SPY's pattern intelligence to see how the current chart compares to historical post-Fed analogs.

# After the Fed settles from chartlibrary import ChartLibrary cl = ChartLibrary(api_key="cl_...") regime = cl.market_regime() spy = cl.intelligence("SPY") print(f"VIX: {regime['vix']}") print(f"SPY 5d avg: {spy.forward_returns['5d']['mean']:.1%}") print(f"SPY 5d win rate: {spy.forward_returns['5d']['win_rate']:.0%}")

Related reading: our posts on NVDA Fed day reaction, TSLA Fed day reaction, and market regime tracking cover complementary angles on FOMC-day trading.