Energy Dip-Buying Backtests Keep Trailing SPY — Except the Midstream Plays

If you scan the past few days of backtests on trades.run, one pattern is hard to miss: the simplest energy trading heuristics are getting demolished by a passive SPY position. Two of the most recent signals — buying USO after a sharp Brent drop, and buying XOM when it underperforms SPY over five days — both finished dramatically behind just holding the index. The USO strategy returned +12.40% on $100,000 over 51 trades, while SPY buy-and-hold returned +68.30% in the same window. The XOM version did even worse, +6.66% across 61 trades, trailing SPY by 61.65 points.

The dip-buying trap

These are not exotic signals. They capture a common instinct: buy energy when it gets hit hard, or buy the laggard on the assumption it will revert. The data leans against that instinct in this patch of market history. Win rates were middling — 45% for the USO strategy, 54% for XOM — and the downside tails were ugly. The best XOM trade gained just 4.94%, while the worst lost 5.75%. Nothing about these numbers says 'edge'.

The midstream exception

The one strategy that stood out was a KMI signal: buy KMI at the close when Brent falls more than 1% but KMI itself does not. That returned +102.95% on the same $100,000 starting capital across 49 trades, beating SPY by 34.65 points with a 61% win rate. The difference is striking. KMI is not an upstream producer; it's a pipeline company, and its cash flows are less directly tied to the day-to-day Brent price. So a signal that treats a KMI dip as a temporary dislocation may be capturing something real about midstream mean-reversion — rather than catching a falling crude-oil knife.

The fundamental angle gets a bit more support from the ET study. When ET posts a quarter-over-quarter FCF-margin expansion while Brent sits below its 50-day moving average, ET tended to beat XLE by an average of 3.35 percentage points over the next 30 trading days, versus just 0.99 points on non-signal days. The median excess return was only 0.74 points, so this is not a home run. But it is a reminder that cash flow quality, not crude momentum, might be the more reliable driver of relative performance in energy.

The statistical grain of salt

Then there is the DVN beta asymmetry test. Over three years, DVN's downside beta to Brent came in at 0.362 versus an upside beta of 0.275 — a gap of 0.087 that matches the hypothesis that DVN reacts more to bad crude news than good. But the p-value is 0.46. That means there is roughly a 46-in-100 chance you would see that gap even if downside and upside betas were truly identical. This is a coin flip, not a conclusion.

Similarly, the VLO seasonal study undermines a clean macro-gate story. VLO's May-to-September forward 10-day return versus XLE was actually worse when Brent was above its 50-day moving average: summer averaged -0.91% versus +1.74% in winter, a -2.65 percentage-point seasonal edge. When Brent was below trend, the summer edge flipped to just +0.33 points. So the popular idea that crude strength validates a summer seasonal trade does not hold up in this sample.

Taken together, the latest research suggests a clear tilt: auto-pilot buy-the-dip signals in energy names have been a drag, while the edges that do show up are modest, statistical, and cluster in midstream or fundamental triggers. That is not a recommendation to abandon anything — just a note that the data is not kind to the simplistic versions of trade logic. The market seems to be paying for quality and patience, not for reflexes.