APXTW resistance levels
Next resistance areas above the price
Prices above the last close where APXTW made swing highs and turned lower before, nearest first.
| # | Area | Above close | What happened there | Volume |
|---|---|---|---|---|
| 1 | $0.3195 to $0.3305 | +6.5% 0.4 ATR | 3 swing highs: Jan 29, 2026 at $0.3200, Jun 3, 2026 at $0.3300, Sep 30, 2026 at $0.3200 21 sessions traded up into it and closed below it; last traded in Oct 20, 2026 (3 sessions ago); last closed above it Aug 20, 2026. | 4.7% |
| 2 | $0.3779 to $0.4000 | +26.0% 1.8 ATR | 4 swing highs: Dec 2, 2025 at $0.4000, Jul 2, 2026 at $0.3900, Aug 20, 2026 at $0.3779, Sep 2, 2026 at $0.4000 5 sessions traded up into it and closed below it; last traded in Sep 2, 2026 (25 sessions ago); last closed above it Jul 28, 2026. | 1.6% |
| 3 | $0.7444 to $0.7554 | +148.1% 10.1 ATR | 1 swing high: Jul 22, 2026 at $0.7499 1 session traded up into it and closed below it; last traded in Jul 22, 2026 (52 sessions ago). | 0.6% |
Showing 3 of 5: only 3 areas sit above the close in our data. We don’t fill the list with estimated levels.
For context, not areas: high since Nov 17, 2025 $0.7499 · 50-day average $0.3109 (averages move every day).
Built from 177 daily sessions, Nov 17, 2025 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 $0.0442, 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 | $0.2533 | $0.2667 | $0.2733 | $0.2867 | $0.2933 | $0.3067 | $0.3133 |
| Weekly | $0.1917 | $0.2193 | $0.2547 | $0.2823 | $0.3177 | $0.3453 | $0.3807 |
| Monthly | $0.0925 | $0.1700 | $0.2450 | $0.3225 | $0.3975 | $0.4750 | $0.5500 |
| Yearly partial, from Nov 17, 2025 | $0.0851 | $0.1726 | $0.2251 | $0.3126 | $0.3651 | $0.4526 | $0.5051 |
Every formula level vs the current price
| Price | Side | From |
|---|---|---|
| $0.0851 | support | Yearly S3 |
| $0.0925 | support | Monthly S3 |
| $0.1700 | support | Monthly S2 |
| $0.1726 | support | Yearly S2 |
| $0.1917 | support | Weekly S3 |
| $0.2000 | support | 52-week low |
| $0.2193 | support | Weekly S2 |
| $0.2251 | support | Yearly S1 |
| $0.2450 | support | Monthly S1 |
| $0.2533 | support | Daily S3 |
| $0.2547 | support | Weekly S1 |
| $0.2667 | support | Daily S2 |
| $0.2733 | support | Daily S1 |
| $0.2823 | support | Weekly Pivot |
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APXTW resistance & support FAQ
What are APXTW's resistance levels?
As of Oct 23, 2026, the nearest resistance area above APXTW's $0.3000 close is $0.3195 to $0.3305, 6.5% higher, where it made 3 swing highs. 3 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.