FGIIW resistance levels
Next resistance areas above the price
Prices above the last close where FGIIW made swing highs and turned lower before, nearest first.
| # | Area | Above close | What happened there | Volume |
|---|---|---|---|---|
| 1 | $0.1970 to $0.2030 | +16.0% 1.2 ATR | 1 swing high: Mar 23, 2026 at $0.2000 9 sessions traded up into it and closed below it; last traded in Sep 22, 2026 (5 sessions ago); last closed above it Aug 25, 2026. | 7.0% |
| 2 | $0.2199 to $0.2269 | +29.5% 2.1 ATR | 2 swing highs: Apr 14, 2026 at $0.2199, Sep 22, 2026 at $0.2269 7 sessions traded up into it and closed below it; last traded in Sep 22, 2026 (5 sessions ago); last closed above it Aug 3, 2026. | 8.5% |
| 3 | $0.2445 to $0.2505 | +44.0% 3.2 ATR | 2 swing highs: May 21, 2026 at $0.2500, Aug 4, 2026 at $0.2450 5 sessions traded up into it and closed below it; last traded in Aug 4, 2026 (19 sessions ago); last closed above it Jul 16, 2026. | 1.6% |
| 4 | $0.3131 to $0.3191 | +84.4% 6.1 ATR | 1 swing high: Jul 6, 2026 at $0.3161 1 session traded up into it and closed below it; last traded in Jul 6, 2026 (29 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 Mar 10, 2026 $0.3161 · 50-day average $0.2089 (averages move every day).
Built from 68 daily sessions, Mar 10, 2026 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 $0.0236, 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 | $0.1256 | $0.1302 | $0.1326 | $0.1372 | $0.1396 | $0.1442 | $0.1466 |
| Weekly | $0.1600 | $0.1600 | $0.1600 | $0.1600 | $0.1600 | $0.1600 | $0.1600 |
| Monthly | $0.0224 | $0.0762 | $0.1192 | $0.1730 | $0.2160 | $0.2698 | $0.3128 |
Every formula level vs the current price
| Price | Side | From |
|---|---|---|
| $0.0224 | support | Monthly S3 |
| $0.0762 | support | Monthly S2 |
| $0.1192 | support | Monthly S1 |
| $0.1200 | support | 52-week low |
| $0.1256 | support | Daily S3 |
| $0.1302 | support | Daily S2 |
| $0.1326 | support | Daily S1 |
| $0.1372 | support | Daily Pivot |
| $0.1396 | support | Daily R1 |
| $0.1442 | support | Daily R2 |
| $0.1466 | support | Daily R3 |
| $0.1600 | support | Weekly R1 |
| $0.1600 | support | Weekly R2 |
| $0.1600 | support | Weekly R3 |
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FGIIW resistance & support FAQ
What are FGIIW's resistance levels?
As of Oct 23, 2026, the nearest resistance area above FGIIW's $0.1698 close is $0.1970 to $0.2030, 16.0% higher, where it made 1 swing high. 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.