Levels // end-of-day data · as of 2026-10-23

UCL resistance levels

Close$0.2313
52-week high$2.63
52-week low$0.2220

Next resistance areas above the price

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

show the nextareas above the close
#AreaAbove closeWhat happened thereVolume
1$0.4807 to $0.4871+107.8%
9.8 ATR
1 swing high: Sep 16, 2026 at $0.4839
1 session traded up into it and closed below it; last traded in Sep 16, 2026 (27 sessions ago); last closed above it Aug 18, 2026.
0.4%
2$0.9677 to $0.9740+318.4%
28.9 ATR
2 swing highs: Jul 10, 2026 at $0.9717, Jul 27, 2026 at $0.9700
9 sessions traded up into it and closed below it; last traded in Aug 17, 2026 (48 sessions ago); last closed above it Jun 24, 2026.
1.0%
3$0.9968 to $1.00+331.0%
30.1 ATR
1 swing high: Aug 17, 2026 at $1.00
9 sessions traded up into it and closed below it; last traded in Aug 17, 2026 (48 sessions ago); last closed above it Jun 23, 2026.
0.5%
4$1.03 to $1.03+343.9%
31.2 ATR
1 swing high: Jul 1, 2026 at $1.03
22 sessions traded up into it and closed below it; last traded in Jul 1, 2026 (80 sessions ago); last closed above it Jun 18, 2026.
0.0%
5$1.14 to $1.14+391.5%
35.6 ATR
1 swing high: Jun 1, 2026 at $1.14
14 sessions traded up into it and closed below it; last traded in Jun 9, 2026 (95 sessions ago); last closed above it May 8, 2026.
0.0%
#1 $0.4807#2 $0.9677Jul 1, 2024Oct 23, 2026

For context, not areas: 52-week high $2.63 · 50-day average $0.3534 · 200-day average $1.03 (averages move every day).

Built from 580 daily sessions, Jul 1, 2024 to Oct 23, 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 $0.0255, 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$0.2058$0.2144$0.2217$0.2303$0.2376$0.2462$0.2535
Weekly$0.1691$0.1955$0.2168$0.2432$0.2645$0.2909$0.3122
Monthly$0.0911$0.2006$0.2648$0.3743$0.4385$0.5480$0.6122
Yearly$-3.1600$-1.1800$0.2300$2.21$3.62$5.60$7.01

Every formula level vs the current price

PriceSideFrom
$0.0911supportMonthly S3
$0.1691supportWeekly S3
$0.1955supportWeekly S2
$0.2006supportMonthly S2
$0.2058supportDaily S3
$0.2144supportDaily S2
$0.2168supportWeekly S1
$0.2217supportDaily S1
$0.2220support52-week low
$0.2300supportYearly S1
$0.2303supportDaily Pivot
$0.2376resistanceDaily R1
$0.2432resistanceWeekly Pivot
$0.2462resistanceDaily R2

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

UCL resistance & support FAQ

What are UCL's resistance levels?

As of Oct 23, 2026, the nearest resistance area above UCL's $0.2313 close is $0.4807 to $0.4871, 107.8% higher, where it made 1 swing high. 31 areas 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.