AI Research FANGmacro:brent_daily

Does FANG fade after gapping up 2% following a 1% Brent up-day?

9
Trigger days

FANG did fade on the setup: after Brent closed up at least 1% and FANG gapped up at least 2%, its open-to-close return averaged -0.32% across nine sessions. The other 729 regular-session days were roughly flat, and two-thirds of the trigger days closed below the open. That is the pattern you would expect from traders selling an oil-driven opening spike.

The problem is that nine observations cannot carry it. The Welch test returns p = 0.56, and the controls weaken the oil-specific explanation: every 2%-plus gap day, regardless of Brent, averaged -0.76%, worse than the trigger set. Post-Brent-up days on their own were slightly positive.

So the fade looks more like a gap-up tendency than an oil-strength signal. The full breakdown, controls, and statistical context are below.

The research question

Over the past ~3 years, on days after Brent crude closes up at least 1%, does FANG underperform its own average open-to-close return when it opens up at least 2%? I expect high-beta E&Ps to gap higher on oil strength and then fade intraday as traders sell the opening spike, leaving large up-gap days with negative open-to-close drift.

How this was measured

FANG minute bars were filtered to regular-session hours (09:30-16:00 ET) and aggregated to daily open and close prints. Open-to-close return is close/open - 1, and open gap is open/prior_close - 1. Brent daily returns were computed from brent_daily_df, and each FANG session was assigned the most recent Brent daily return available before that session. A trigger day requires prior Brent return >= 1% and FANG open gap >= 2%. The trigger subset is compared with all other valid FANG sessions using a Welch t-test, and contextualized against all gap-up days and all post-oil-up days.

The key numbers

Trigger days
9
Prior Brent return >= 1% AND FANG open gap >= 2%
Trigger mean open-to-close return
-0.3194%
N=9 trigger days
Trigger median open-to-close return
-0.3184%
Median robust to outliers
All-day mean open-to-close return
-0.0097%
N=729 valid regular-session days
Trigger minus all-day mean
-0.3097%
Negative = trigger days faded vs own average; diff=-0.0031
Trigger fraction negative open-to-close
66.67%
Share of 9 trigger days closing below open
All-day fraction negative open-to-close
48.83%
Share of 729 valid sessions closing below open
Gap-only control mean open-to-close
-0.7557%
All FANG open-gap >= 2% days, N=29
Oil-only control mean open-to-close
0.0297%
All prior-Brent-up days, N=225
Welch t-statistic
-0.614
Trigger vs non-trigger open-to-close returns
Welch p-value
0.5556
p=0.5556 >= 0.05 -> no statistically-clear difference

Reading the numbers

On the 9 days that fit both conditions, FANG fell 0.32% from open to close on average, versus a roughly flat -0.01% on all 729 days — a gap of about 0.3 percentage points with a p-value of 0.56, meaning a difference that small is easily explained by chance.

The charts

FANG open-to-close return: trigger vs all other days
What this chart says

This box plot sets the 9 trigger days side by side with the other 720 sessions. The trigger group's box sits lower, with a mean of -0.32% against -0.01% for everything else, which is the fade the question is asking about. But the striking detail is the spread: the ordinary days run from -7.97% to +16.46%, so a handful of trigger days landing a few tenths of a percent below average is well within normal noise.

Mean FANG open-to-close return by condition
What this chart says

These four bars break the average open-to-close return down by which condition was met. The tallest bar on the negative side is not the trigger bar at -0.32% but the gap-only bar at -0.76% — every day FANG gapped up 2% or more, oil or no oil. Meanwhile prior-Brent-up days with any gap average slightly positive at +0.03%, which says the intraday weakness travels with the gap itself, not with the oil signal.

FANG trigger-day open-to-close returns
What this chart says

The histogram shows all 9 trigger days individually, ranging from -3.15% to +2.02% around a mean of -0.32%. The distribution is thin and roughly straddles zero, with the extremes doing much of the work on the average. That is the visual reason the statistical test comes back inconclusive: nine observations this scattered cannot separate a real fade from ordinary day-to-day variation.

Trigger-day detail

dateprior_brent_retfang_open_gapfang_o2c
2024-10-020.04080.0285-0.0074
2024-11-060.02790.02440.0202
2025-01-100.01380.0228-0.0003
2025-04-140.02230.0217-0.0315
2025-04-220.02050.02070.0102
2025-05-120.03280.0505-0.0133
2025-10-230.0210.038-0.0032
2026-01-210.01150.02080.0079
2026-03-060.08620.0205-0.0113

The takeaway

FANG does fade on these setups, but the evidence is too thin to call it a real edge. Across the 9 sessions where Brent had closed up at least 1% and FANG gapped up at least 2%, open-to-close averaged -0.32%, versus roughly -0.01% for the other 729 regular-session days — a 0.31-point shortfall in exactly the direction you predicted. The hit rate agrees: two-thirds of trigger days closed below the open, against just under half of all days. But the Welch test returns p = 0.56, which is nowhere near a real signal — a spread that size is well within what noise throws off, especially on 9 observations. The controls also undercut the oil-specific story: every 2%-plus gap day regardless of Brent averaged -0.76%, worse than the trigger set, and post-Brent-up days on their own were slightly positive. So the fade looks more like a gap-up phenomenon than an oil-strength one, and the practical read is to watch the pattern rather than trade it on nine data points.

The fine print