AACPW resistance levels
Next resistance areas above the price
Prices above the last close where AACPW made swing highs and turned lower before, nearest first.
| # | Area | Above close | What happened there | Volume |
|---|---|---|---|---|
| 1 | $0.0719 to $0.0745 | +19.4% 1.1 ATR | 2 swing highs: Aug 21, 2026 at $0.0730, Sep 14, 2026 at $0.0733 7 sessions traded up into it and closed below it; last traded in Oct 7, 2026 (7 sessions ago); last closed above it Oct 7, 2026. | 5.0% |
| 2 | $0.0834 to $0.0860 | +38.5% 2.2 ATR | 1 swing high: Jun 16, 2026 at $0.0847 5 sessions traded up into it and closed below it; last traded in Oct 7, 2026 (7 sessions ago). | 3.6% |
| 3 | $0.0887 to $0.0913 | +47.3% 2.7 ATR | 1 swing high: Jun 29, 2026 at $0.0900 2 sessions traded up into it and closed below it; last traded in Oct 7, 2026 (7 sessions ago). | 0.1% |
| 4 | $0.0986 to $0.1012 | +63.8% 3.7 ATR | 1 swing high: Oct 7, 2026 at $0.0999 1 session traded up into it and closed below it; last traded in Oct 7, 2026 (7 sessions ago). | 0.0% |
Showing 4 of 5: only 4 areas sit above the close in our data. We don’t fill the list with estimated levels.
For context, not areas: high since May 28, 2026 $0.0999 · 50-day average $0.0670 (averages move every day).
Built from 62 daily sessions, May 28, 2026 to Oct 23, 2026 (end-of-day data; our history starts Jul 1, 2024). Prices before Oct 6, 2026 are adjusted for a 3-for-2 split, detected from the exact size of that day’s price change. 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 $0.0105, 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.
Formula pivots by timeframe
Arithmetic on each prior period’s high, low and close. No trading took place at these prices.
| Timeframe | S3 | S2 | S1 | Pivot | R1 | R2 | R3 |
|---|---|---|---|---|---|---|---|
| Daily | $0.0601 | $0.0601 | $0.0601 | $0.0601 | $0.0601 | $0.0601 | $0.0601 |
| Weekly | $0.0535 | $0.0568 | $0.0634 | $0.0667 | $0.0733 | $0.0766 | $0.0832 |
| Monthly | $0.0017 | $0.0210 | $0.0347 | $0.0540 | $0.0677 | $0.0870 | $0.1007 |
Every formula level vs the current price
| Price | Side | From |
|---|---|---|
| $0.0017 | support | Monthly S3 |
| $0.0210 | support | Monthly S2 |
| $0.0333 | support | 52-week low |
| $0.0347 | support | Monthly S1 |
| $0.0535 | support | Weekly S3 |
| $0.0540 | support | Monthly Pivot |
| $0.0568 | support | Weekly S2 |
| $0.0601 | support | Daily R2 |
| $0.0601 | support | Daily Pivot |
| $0.0601 | support | Daily S2 |
| $0.0601 | support | Daily R1 |
| $0.0601 | support | Daily R3 |
| $0.0601 | support | Daily S1 |
| $0.0601 | support | Daily S3 |
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AACPW resistance & support FAQ
What are AACPW's resistance levels?
As of Oct 23, 2026, the nearest resistance area above AACPW's $0.0602 close is $0.0719 to $0.0745, 19.4% higher, where it made 2 swing highs. 4 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.