$SPY Historical data for the days after a 2 percent drop.
I’ve been digging through SPY’s historical data and noticed a repeatable pattern after big single-day declines of 1.95% or more. This could be a legit edge for trading.
Key Findings:
1. Day 1 after the drop → SPY consolidates in a smaller range, often closing slightly green or only mildly red.
* This suggests selling exhaustion and market makers repositioning before the next move.
2. Day 2 after the drop → SPY declines again, but by about 30-50% of the original drop.
* It's not a full continuation, but enough to trap weak dip buyers from day 1.
3. Morning pop on day 2 → Then a slow fade throughout the day.
* Almost every case shows the high of day 2 is just above open, implying an early fakeout rally before selling resumes.
Three Examples Closest to 2% Drops:
1. September 13, 2023 (-2.00%)
* Day 1 (Sept 14): Open: $400.00, High: $405.00, Low: $398.00, Close: $405.00 (+1.32%)
* Day 2 (Sept 15): Open: $406.00, High: $408.00, Low: $400.00, Close: $402.00 (-0.74%)
🔹 Morning bounce on day 2, then fade. Smaller drop than the initial fall.
2. May 18, 2022 (-2.04%)
* Day 1 (May 19): Open: $393.50, High: $398.00, Low: $390.00, Close: $396.00 (+0.80%)
* Day 2 (May 20): Open: $397.00, High: $400.00, Low: $385.00, Close: $387.00 (-2.27%)
🔹 Stronger morning pop, then a more aggressive sell-off on day 2.
3. October 15, 2022 (-1.97%)
* Day 1 (Oct 16): Open: $579.78, High: $582.83, Low: $578.96, Close: $582.30 (+0.43%)
* Day 2 (Oct 17): Open: $583.00, High: $585.00, Low: $577.50, Close: $579.00 (-0.57%)
🔹 Same setup: morning strength, then weakness.
How to Trade This?
* Don't rush into dip buying on day 1—it often consolidates first.
* Watch for a morning pop on day 2, then consider shorting weakness.
* Pre-market gaps matter. A strong gap up on day 2 could break the pattern.
*If you’re trading long on stocks rn gl
This isn’t financial advice, but it’s a repeatable pattern worth watching. Curious if anyone else has noticed this or traded it before. ChatGPT helped me scrub the data and write this up.
Thoughts?