Levels // end-of-day data · as of 2026-10-09

XOM resistance levels

Close$168.94
52-week high$176.41
52-week low$110.39

Next resistance areas above the price

Prices above the last close where XOM made swing highs and turned lower before, nearest first.

show the nextareas above the close

The last close ($168.94) sits inside an area, $168.64 to $169.64: 2 swing highs: Aug 20, 2026 at $168.64, Sep 15, 2026 at $169.64.

#AreaAbove closeWhat happened thereVolume
1$175.97 to $176.85+4.2%
2.0 ATR
1 swing high: Mar 30, 2026 at $176.41
1 session traded up into it and closed below it; last traded in Mar 30, 2026 (134 sessions ago).
0.0%

Showing 1 of 5: only 1 area sits above the close in our data. We don’t fill the list with estimated levels.

in $168.64#1 $175.97Jul 1, 2024Oct 9, 2026

For context, not areas: 52-week high $176.41 · 50-day average $161.57 · 200-day average $150.33 (averages move every day).

Built from 572 daily sessions, Jul 1, 2024 to Oct 9, 2026 (end-of-day data; our history starts Jul 1, 2024). A swing high is the highest high within 5 sessions on each side, so the last 5 sessions cannot form one yet. Swing highs within half an ATR of each other form one area (ATR $3.51, the average daily range over 14 sessions). Volume share spreads each session’s volume evenly across its high-low range, so it is an approximation.

do these areas stop price? we tested it
On 136 stocks, when price reached the nearest area within 20 sessions, it then failed to close above it over the next 5 sessions 33.4% of the time (427 of 1,277). At random bands of the same width and a similar distance, it was 33.3% (408 of 1,227). The difference is within noise (95% range -3.2% to +3.5%), so we found no measurable effect. Traders watch these prices, which is why they are listed; the history alone does not show them acting as ceilings. Measured 2026-10-05 on daily data since Jul 1, 2024. Not a recommendation.

Formula pivots by timeframe

Arithmetic on each prior period’s high, low and close. No trading took place at these prices.

TimeframeS3S2S1PivotR1R2R3
Daily$164.60$165.65$167.08$168.13$169.56$170.61$172.04
Weekly$155.31$157.29$160.65$162.63$165.99$167.97$171.33
Monthly$142.06$148.96$155.85$162.75$169.64$176.54$183.43
Yearly$80.83$89.32$104.83$113.31$128.82$137.31$152.82

Every formula level vs the current price

PriceSideFrom
$80.83supportYearly S3
$89.32supportYearly S2
$104.83supportYearly S1
$110.39support52-week low
$113.31supportYearly Pivot
$128.82supportYearly R1
$137.31supportYearly R2
$142.06supportMonthly S3
$148.96supportMonthly S2
$152.82supportYearly R3
$155.31supportWeekly S3
$155.85supportMonthly S1
$157.29supportWeekly S2
$160.65supportWeekly S1

Keep going: XOM workspace · XOM max pain & open interest · look up another ticker · SMA 200 trend

XOM resistance & support FAQ

What are XOM's resistance levels?

As of Oct 9, 2026, the nearest resistance area above XOM's $168.94 close is $175.97 to $176.85, 4.2% higher, where it made 1 swing high. 1 area sit above the close in our data; the table lists up to 25, nearest first.

How are the resistance areas found?

From the stock’s own daily trading since Jul 1, 2024, adjusted for splits. A swing high is the highest high within 5 sessions on each side; swing highs within half an average daily range (ATR) of each other form one area. Each area lists the dates it was made, how many sessions traded into it and closed below it, and the share of volume traded inside it. No score is blended from these.

Do these areas predict where price will stop?

No, and we tested it. On 136 stocks, price that reached the nearest area failed to close above it within 5 sessions 33.4% of the time (427 of 1277), against 33.3% at random bands of the same width (408 of 1227). That is no measurable difference. They describe where price turned before; they are not a forecast or a recommendation.

How are the pivots calculated?

Classic floor-trader pivots: the pivot point is the average of the prior period’s high, low and close, and the support and resistance rungs are symmetric multiples around it. They are arithmetic, so no trading took place at those prices.