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

MATH resistance levels

Close$1.00
52-week high$3.47
52-week low$0.7300

Next resistance areas above the price

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

show the nextareas above the close
#AreaAbove closeWhat happened thereVolume
1$1.02 to $1.04+2.0%
0.3 ATR
2 swing highs: Jul 7, 2026 at $1.04, Aug 3, 2026 at $1.02
44 sessions traded up into it and closed below it; last traded in Oct 23, 2026 (0 sessions ago); last closed above it Oct 21, 2026.
1.8%
2$1.08 to $1.11+8.0%
1.0 ATR
2 swing highs: Dec 11, 2024 at $1.08, May 29, 2026 at $1.11
38 sessions traded up into it and closed below it; last traded in Oct 21, 2026 (2 sessions ago); last closed above it Jun 11, 2026.
2.2%
3$1.14 to $1.16+14.0%
1.8 ATR
2 swing highs: May 7, 2026 at $1.16, Sep 30, 2026 at $1.14
32 sessions traded up into it and closed below it; last traded in Oct 9, 2026 (10 sessions ago); last closed above it Apr 22, 2026.
0.9%
4$1.17 to $1.19+17.0%
2.1 ATR
1 swing high: Jun 11, 2026 at $1.18
37 sessions traded up into it and closed below it; last traded in Oct 9, 2026 (10 sessions ago); last closed above it Apr 22, 2026.
0.9%
5$1.22 to $1.24+22.0%
2.8 ATR
4 swing highs: Aug 28, 2024 at $1.23, Oct 15, 2024 at $1.23, Nov 21, 2024 at $1.23, Oct 9, 2026 at $1.23
32 sessions traded up into it and closed below it; last traded in Oct 9, 2026 (10 sessions ago); last closed above it Apr 22, 2026.
0.8%
#1 $1.02Jul 1, 2024Oct 23, 2026

For context, not areas: 52-week high $3.47 · 50-day average $0.9577 · 200-day average $1.14 (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 $0.0793, 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$0.9508$0.9655$0.9827$0.9974$1.01$1.03$1.05
Weekly$0.9433$0.9967$1.02$1.08$1.10$1.16$1.18
Monthly$0.2300$0.4800$0.7900$1.04$1.35$1.60$1.91
Yearly$-2.4183$-0.6867$0.7067$2.44$3.83$5.56$6.96

Every formula level vs the current price

PriceSideFrom
$0.2300supportMonthly S3
$0.4800supportMonthly S2
$0.7067supportYearly S1
$0.7300support52-week low
$0.7900supportMonthly S1
$0.9433supportWeekly S3
$0.9508supportDaily S3
$0.9655supportDaily S2
$0.9827supportDaily S1
$0.9967supportWeekly S2
$0.9974supportDaily Pivot
$1.01resistanceDaily R1
$1.02resistanceWeekly S1
$1.03resistanceDaily R2

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

MATH resistance & support FAQ

What are MATH's resistance levels?

As of Oct 23, 2026, the nearest resistance area above MATH's $1.00 close is $1.02 to $1.04, 2.0% higher, where it made 2 swing highs. 22 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.