Stock screener

GMUB

Conviction 5Scan · Thu, Sep 24, 2026

GMUB closed at $49.13 (-0.29%) on Sep 24, 2026. Price is below its 50-day and below its 200-day moving average. RSI(14) 15, RS Rating 35, -5.7% from its 52-week high, -4.1% year to date.

GMUB$49.13-0.29%
ResistanceSupportVol 14
63 bars
Vol MA14 135.27K
Jun 26Jul 15Aug 3Aug 19Sep 8Sep 24
Price49.13
Change-0.29%
Gap-0.11%
Rel volume—
Avg volume114.9K
Avg $ vol5.72M
SMA 2049.97
SMA 5050.48
SMA 20051.11
Price vs 50-2.69%
Price vs 200-3.88%
MA stackbearish
50/200 cross—
Supertrenddown · 49.81
RSI (14)15
MACD hist-0.06
MACD cross—
Stoch %K / %D1 / 6
ADX (14)49
+DI / −DI6 / 41
RSI divergence—
MACD divergence—
ATR %0.41%
ADR %0.35%
52w high52.08
52w low49.13
From 52w high-5.67%
Above 52w low+0.00%
New 52w highNo
SqueezeOff
Bollinger width3.40%
%B0.00
Donchian pos0.89%
Donchian high50.79
Donchian low49.11
AVWAP (52w high)50.78
vs AVWAP high-3.26%
AVWAP (52w low)49.15
vs AVWAP low-0.05%
OBV trendDown
Chaikin MF (20)-0.43
Today vs 20d—
Avg vol (14d)135.27K
Avg vol (20d)114.9K
Avg $ vol (20d)5.72M
Market cap—
RS Rating35 / 99
RS 3m (vs SPY)-9.03%
RS 6m (vs SPY)-20.17%
RS line new highNo
Trend template1/8
Technical rank37.6
1 week-1.36%
1 month-3.31%
3 months-4.54%
6 months-3.35%
1 year-3.45%
YTD-4.07%
Free float—
Float %—
Short interest21.66K
Days to cover0.1d
Short volume57.1%
Squeeze score20 / 100
Next earnings—
EPS forecast—
Last EPS vs est—
Last surprise—
Setup gradeD
Conviction5 / 100
Pattern quality—
Tech rank37.6 / 100
Group rank—
Status laneNo active setup
Setup direction—
Pattern family
Resistance50.91
Support50.17
Days since event—
Candle confirm—

Congress activity

Disclosed STOCK Act trades in GMUB

All disclosures →
No recent disclosed trades by Congress in GMUB. STOCK Act filings can lag the trade by up to 45 days.

Insider activity

SEC Form 4 transactions in GMUB

No recent insider (Form 4) filings in GMUB. Insiders must file within two business days of a trade.

SEC filings

EDGAR filings in GMUB

EDGAR →

No recent SEC filings on file for GMUB.

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Educational data, not financial advice. Patterns, levels and the trade plan are algorithmic, not a recommendation to trade.