Analysis · 08/17/2026 – 09/02/2026
Top Gainer
CVI
+32.13%
$33.55 → $44.33
Top Decliner
FCEL
-42.90%
$24.38 → $13.92
Biggest Vol Surprise
CLMT
2.49x
realized move vs. implied
Closed Nearest High
COP
98.87%
of its range
Closed Nearest Low
CRPHY
0.00%
of its range
Refiners dominated the upside. CVI led at +32.13% ($33.55 → $44.33), closing 87.01% of its range, with DK (+22.60%), PBF (+21.88%) and CLMT (+19.43%) close behind. The large-cap refiners were the cleanest trends: MPC (+18.07%), PSX (+16.84%) and VLO (+15.38%) all closed above 91% of their ranges on modest realized vol (22–24%), and COP finished nearest its high at 98.87%.
The downside was concentrated in hydrogen/fuel-cell and power-adjacent names: FCEL -42.90% ($24.38 → $13.92) with 116.77% realized vol, BE -26.60%, BLDP -20.36%, PLUG -14.88%, and NRG -15.05%. CRPHY closed at 0.00% of its range — dead on the low.
On the vol side, options generally underpriced the realized move: CLMT was the biggest surprise at 2.49x, with CVI (2.40x), FCEL (2.31x), CHRD (2.20x), PBF and IEP (2.16x) also well above 1x. The exceptions ran the other way — SUNC at 0.44x (70.46% implied against 20.80% realized), LNT at 0.66x, and VVV at 0.94x, where premium looked rich relative to what actually happened.
Differential behavior within the sector. This was not a uniform energy tape — the spread from CVI (+32.13%) to FCEL (-42.90%) is roughly 75 percentage points across names that all sit in the same GICS sector. The dispersion breaks cleanly along business lines rather than market cap:
Rotation vs. idiosyncratic. The pattern looks more like an intra-sector rotation than a wholesale move into or out of energy. Money appears to have concentrated in cash-generative, commodity-margin-levered refiners while leaving speculative, long-duration clean-energy names — a mix consistent with a higher-rate or risk-averse backdrop that penalizes unprofitable growth. That said, the refining cluster's tight co-movement is more consistent with a shared margin driver (crack spreads, product inventories) than with 37 separate stock-specific stories, while outliers like CMI (-16.50%), BE and IEP look more idiosyncratic.
Plausible drivers. Without asserting specific events, the data is consistent with:
AI-generated analysis grounded in the data from this report. Informational only, not investment advice.