SPCQ

Conviction 6Scan · Fri, Sep 25, 2026

SPCQ closed at $11.02 (-0.68%) on Sep 25, 2026. Price is below its 50-day. RSI(14) 42, -62.7% from its 52-week high, -9.9% year to date.

SPCQ$11.02-0.68%

ResistanceSupportVol 14

Vol MA14 1.71M

Jun 29Jul 16Aug 4Aug 20Sep 9Sep 25

Price11.02

Change-0.68%

Gap-0.45%

Rel volume1.14×

Avg volume1.48M

Avg $ vol16.74M

SMA 2011.46

SMA 5016.45

SMA 200—

Price vs 50-33.02%

Price vs 200—

MA stack—

50/200 cross—

Supertrenddown · 14.03

RSI (14)42

MACD hist0.24

MACD cross—

Stoch %K / %D47 / 46

ADX (14)27

+DI / −DI16 / 24

RSI divergenceBullish

MACD divergenceBullish

ATR %11.34%

ADR %8.25%

52w high29.55

52w low10.27

From 52w high-62.72%

Above 52w low+7.25%

New 52w highNo

SqueezeOn · 16d

Bollinger width28.77%

%B0.37

Donchian pos31.61%

Donchian high13.60

Donchian low9.82

AVWAP (52w high)13.78

vs AVWAP high-20.07%

AVWAP (52w low)15.12

vs AVWAP low-27.13%

OBV trendDown

Chaikin MF (20)0.04

Today vs 20d1.14×

Avg vol (14d)1.67M

Avg vol (20d)1.48M

Avg $ vol (20d)16.74M

Market cap—

RS Rating—

RS 3m (vs SPY)-42.36%

RS 6m (vs SPY)—

RS line new highNo

Trend template—

Technical rank23.0

1 week+3.72%

1 month-17.86%

3 months-36.55%

6 months—

1 year—

YTD-9.86%

Free float—

Float %—

Short interest1.17M

Days to cover0.9d

Short volume51.0%

Squeeze score23 / 100

Next earnings—

EPS forecast—

Last EPS vs est—

Last surprise—

Setup gradeD

Conviction6 / 100

Pattern quality—

Tech rank23.0 / 100

Group rank—

Status laneNo active setup

Setup direction—

Pattern family

Resistance21.85

Support10.14

Days since event—

Candle confirm—

Congress activity

Disclosed STOCK Act trades in SPCQ

All disclosures →

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

Insider activity

SEC Form 4 transactions in SPCQ

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

SEC filings

EDGAR filings in SPCQ

EDGAR →

No recent SEC filings on file for SPCQ.

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