How can you see which sectors are leading right now?

You don't have to guess which sectors are leading — you can look. The tool is relative strength: comparing how sectors perform against each other over the same window. It's descriptive, it's honest, and it needs no prediction to be useful.

Relative, not absolute

Absolute performance ("Energy rose 4%") means little alone. Relative performance is the question: did Energy rise more or less than the market and the other sectors over the same period? Beat the broad market and a sector is showing relative strength. Lag it and the sector is showing relative weakness. Sector against sector, sector against index — that comparison is how leadership reads straight off the data.

Concretely, you'd line up all 11 sectors' returns over, say, the last three months and rank them. The top of the list outperformed. The bottom lagged. Returns are what the ranking shows, not fund flows, which are a separate measurement it cannot stand in for. This is pure observation of what happened, not a claim about what happens next.

What it can and can't tell you

Be precise about the limits:

• It describes the recent past, not the future. Today's leaders were strong over the window you chose; leadership can and does hand off, exactly as the rotation lesson warned.
• The window changes the picture. Three-month and three-year rankings can look completely different — always know which window you're reading.
• It's a starting question, not an answer. "Energy has led for three months" prompts the real work: why? (Check the driver — did oil rise?) A leader with an obvious driver behind it is a different observation than one without.

Used honestly, relative strength turns "which sectors are hot?" from a feeling into a ranked list you can actually inspect — and then interrogate with the driver and cycle tools you already have.

A worked example

Rank a market's 11 sectors by their last-three-months return and suppose Energy and Materials sit on top while Utilities and Staples sit at the bottom. From this course, that pattern is legible: commodity sectors leading and defensives lagging is a "late-cycle / rising-inflation" flavour. You haven't predicted anything — you've read the market's current posture off a ranked list and connected it to the mechanisms this course built. That's the whole craft: describe accurately, explain with mechanism, resist the urge to forecast.

In the data

The ranking needs eleven instruments, and there is one per sector. The SPDR sector funds track the GICS sectors of the S&P 500: XLK (Information Technology), XLV (Health Care), XLF (Financials), XLY (Consumer Discretionary), XLP (Consumer Staples), XLC (Communication Services), XLI (Industrials), XLE (Energy), XLB (Materials), XLU (Utilities) and XLRE (Real Estate), with SPY as a twelfth row so each rank reads against the market. Here they are on the first and the last trading day of one pinned year:

Each fund has two prices. The raw close is what traded that day; the adjusted close folds in splits and dividends, so the change in it is the return a holder actually got. Rank on raw closes and you systematically understate whichever sectors pay the most dividends, typically utilities and staples. Two of the funds are young, XLRE from 2015 and XLC from 2018, so a longer window starts where the youngest begins. Each fund holds the sector's large caps only, which is the sector as the market trades it.

Try it now

Three slices of the US market over the same five years — broad, concentrated growth, and small caps:

1. Measure each across the identical window and rank the three by percentage change. That ranking is relative strength, and measuring it beats eyeballing three charts with three different vertical scales.
2. Now switch each chart to its 1Y range and rank again. Different window, different answer — and neither ranking is more correct than the other. Always know which window you are reading.
3. Now the sector version, which is where this stops being a chart exercise. For each fund in the two tables under "In the data", divide the second adjusted close by the first and subtract one. Sort the eleven, and set each against SPY's figure: above it is relative strength, below it relative weakness.
4. The series you rank on decides the answer. These charts are drawn as lines, which here means adjusted closes — splits and dividends folded in. Switch one to candles and you are looking at the raw tape instead. The two tables carry the raw close too, so run the ranking again on it and see how many places move. Five of the funds split two-for-one on 2025-12-05, inside the window, and on the raw tape each of them appears to have lost between about 30 and 55 per cent of its value. Name the five, and say which of them the adjusted column shows as a gain.
5. Finish with the interrogation, not the list: for whichever sector leads, check its driver. Did the thing it dances to actually move?