Stock screener

TEQI

Conviction 42Scan · Thu, Sep 24, 2026

TEQI closed at $51.52 (-0.55%) on Sep 24, 2026. Price is below its 50-day and above its 200-day moving average. RSI(14) 40, RS Rating 71, -2.8% from its 52-week high, +13.3% year to date.

TEQI$51.52-0.55%
ResistanceSupportVol 14
12 bars
Sep 8Sep 10Sep 14Sep 17Sep 21Sep 23
Price51.52
Change-0.55%
Gap+0.01%
Rel volume0.22×
Avg volume29.79K
Avg $ vol1.56M
SMA 2052.28
SMA 5052.22
SMA 20048.64
Price vs 50-1.34%
Price vs 200+5.91%
MA stackmixed
50/200 cross—
Supertrenddown · 52.76
RSI (14)40
MACD hist-0.11
MACD cross—
Stoch %K / %D0 / 10
ADX (14)13
+DI / −DI23 / 32
RSI divergence—
MACD divergence—
ATR %0.73%
ADR %0.57%
52w high53.02
52w low42.44
From 52w high-2.82%
Above 52w low+21.39%
New 52w highNo
SqueezeOff
Bollinger width2.77%
%B-0.03
Donchian pos0.27%
Donchian high53.35
Donchian low51.52
AVWAP (52w high)52.25
vs AVWAP high-1.39%
AVWAP (52w low)49.26
vs AVWAP low+4.59%
OBV trendFlat
Chaikin MF (20)0.01
Today vs 20d0.22×
Avg vol (14d)35.96K
Avg vol (20d)29.79K
Avg $ vol (20d)1.56M
Market cap—
RS Rating71 / 99
RS 3m (vs SPY)-2.00%
RS 6m (vs SPY)-3.23%
RS line new highNo
Trend template5/8
Technical rank65.3
1 week-0.56%
1 month-2.07%
3 months+2.71%
6 months+14.32%
1 year+17.75%
YTD+13.33%
Free float—
Float %—
Short interest25.51K
Days to cover1.8d
Short volume48.5%
Squeeze score24 / 100
Next earnings—
EPS forecast—
Last EPS vs est—
Last surprise—
Setup gradeD
Conviction42 / 100
Pattern quality—
Tech rank65.3 / 100
Group rank—
Status laneNo active setup
Setup direction—
Pattern family
Resistance53.20
Support51.90
Days since event—
Candle confirm—

Congress activity

Disclosed STOCK Act trades in TEQI

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

Insider activity

SEC Form 4 transactions in TEQI

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

SEC filings

EDGAR filings in TEQI

EDGAR →

No recent SEC filings on file for TEQI.

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