Levels // end-of-day data · as of 2024-09-30

ALPP resistance levels

Close$0.3567
High since Jul 1, 2024$0.9267
Low since Jul 1, 2024$0.3100

Next resistance areas above the price

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

show the nextareas above the close
#AreaAbove closeWhat happened thereVolume
1$0.4351 to $0.4500+22.0%
2.3 ATR
3 swing highs: Aug 20, 2024 at $0.4500, Aug 29, 2024 at $0.4400, Sep 13, 2024 at $0.4351
12 sessions traded up into it and closed below it; last traded in Sep 13, 2024 (11 sessions ago); last closed above it Jul 26, 2024.
1.3%
2$0.9225 to $0.9309+158.6%
16.8 ATR
1 swing high: Jul 23, 2024 at $0.9267
1 session traded up into it and closed below it; last traded in Jul 23, 2024 (48 sessions ago).
0.6%

Showing 2 of 5: only 2 areas sit above the close in our data. We don’t fill the list with estimated levels.

#1 $0.4351#2 $0.9225Jul 1, 2024Sep 30, 2024

For context, not areas: high since Jul 1, 2024 $0.9267 · 50-day average $0.3944 (averages move every day).

Built from 64 daily sessions, Jul 1, 2024 to Sep 30, 2024 (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 $0.0337, 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$0.3058$0.3204$0.3327$0.3473$0.3596$0.3742$0.3865
Weekly$0.2901$0.3079$0.3264$0.3442$0.3627$0.3805$0.3990
Monthly$0.1946$0.2573$0.3246$0.3873$0.4546$0.5173$0.5846

Every formula level vs the current price

PriceSideFrom
$0.1946supportMonthly S3
$0.2573supportMonthly S2
$0.2901supportWeekly S3
$0.3058supportDaily S3
$0.3079supportWeekly S2
$0.3100support52-week low
$0.3204supportDaily S2
$0.3246supportMonthly S1
$0.3264supportWeekly S1
$0.3327supportDaily S1
$0.3442supportWeekly Pivot
$0.3473supportDaily Pivot
$0.3596resistanceDaily R1
$0.3627resistanceWeekly R1

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ALPP resistance & support FAQ

What are ALPP's resistance levels?

As of Sep 30, 2024, the nearest resistance area above ALPP's $0.3567 close is $0.4351 to $0.4500, 22.0% higher, where it made 3 swing highs. 2 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.