Stock screener

GQGU

Conviction 70Scan · Fri, Sep 25, 2026

GQGU closed at $26.65 (+0.60%) on Sep 25, 2026. Price is above its 50-day and above its 200-day moving average. RSI(14) 59, RS Rating 55, -2.9% from its 52-week high, +8.6% year to date.

GQGU$26.65+0.60%
ResistanceSupportVol 14
63 bars
Vol MA14 237.46K
Jun 29Jul 16Aug 4Aug 20Sep 9Sep 25
Price26.65
Change+0.60%
Gap+0.57%
Rel volume12.03×
Avg volume278.71K
Avg $ vol7.33M
SMA 2026.10
SMA 5026.21
SMA 20026.03
Price vs 50+1.67%
Price vs 200+2.37%
MA stackbullish
50/200 cross—
Supertrendup · 25.66
RSI (14)59
MACD hist0.09
MACD crossbull · 4d
Stoch %K / %D96 / 88
ADX (14)12
+DI / −DI32 / 30
RSI divergenceBullish
MACD divergenceBullish
ATR %1.13%
ADR %0.91%
52w high27.45
52w low23.93
From 52w high-2.91%
Above 52w low+11.36%
New 52w highNo
SqueezeOff
Bollinger width5.38%
%B0.89
Donchian pos96.35%
Donchian high26.70
Donchian low25.33
AVWAP (52w high)26.37
vs AVWAP high+1.05%
AVWAP (52w low)26.15
vs AVWAP low+1.90%
OBV trendUp
Chaikin MF (20)0.34
Today vs 20d12.03×
Avg vol (14d)332.03K
Avg vol (20d)278.71K
Avg $ vol (20d)7.33M
Market cap—
RS Rating55 / 99
RS 3m (vs SPY)-3.27%
RS 6m (vs SPY)-19.91%
RS line new highNo
Trend template5/8
Technical rank62.7
1 week+2.22%
1 month+2.30%
3 months+2.54%
6 months-0.34%
1 year+6.69%
YTD+8.64%
Free float—
Float %—
Short interest1.24M
Days to cover5.2d
Short volume66.3%
Squeeze score96 / 100
Next earnings—
EPS forecast—
Last EPS vs est—
Last surprise—
Setup gradeB
Conviction70 / 100
Pattern quality—
Tech rank62.7 / 100
Group rank—
Status laneNo active setup
Setup direction—
Pattern family
Resistance26.92
Support25.46
Days since event—
Candle confirm—

Congress activity

Disclosed STOCK Act trades in GQGU

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No recent disclosed trades by Congress in GQGU. STOCK Act filings can lag the trade by up to 45 days.

Insider activity

SEC Form 4 transactions in GQGU

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

SEC filings

EDGAR filings in GQGU

EDGAR →

No recent SEC filings on file for GQGU.

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