IQMM

Conviction 16Scan · Thu, Sep 24, 2026

IQMM closed at $100.07 (+0.01%) on Sep 24, 2026. Price is below its 50-day. RSI(14) 47, at a 52-week high, +0.0% year to date.

IQMM$100.07+0.01%

ResistanceSupportVol 14

Vol MA14 1.59M

Jun 26Jul 15Aug 3Aug 19Sep 8Sep 24

Price100.07

Change+0.01%

Gap+0.01%

Rel volume0.01×

Avg volume1.41M

Avg $ vol141.14M

SMA 20100.09

SMA 50100.09

SMA 200—

Price vs 50-0.03%

Price vs 200—

MA stack—

50/200 cross—

Supertrenddown · 100.16

RSI (14)47

MACD hist-0.00

MACD crossbear · 7d

Stoch %K / %D21 / 11

ADX (14)7

+DI / −DI32 / 34

RSI divergence—

MACD divergence—

ATR %0.04%

ADR %0.02%

52w high100.15

52w low100.04

From 52w high-0.08%

Above 52w low+0.02%

New 52w highYes

SqueezeOff

Bollinger width0.12%

%B0.31

Donchian pos21.05%

Donchian high100.14

Donchian low100.05

AVWAP (52w high)100.09

vs AVWAP high-0.03%

AVWAP (52w low)100.09

vs AVWAP low-0.03%

OBV trendUp

Chaikin MF (20)0.23

Today vs 20d0.01×

Avg vol (14d)1.59M

Avg vol (20d)1.41M

Avg $ vol (20d)141.14M

Market cap—

RS Rating—

RS 3m (vs SPY)-4.54%

RS 6m (vs SPY)-16.83%

RS line new highNo

Trend template—

Technical rank55.8

1 week+0.00%

1 month+0.00%

3 months-0.04%

6 months-0.01%

1 year—

YTD+0.02%

Free float—

Float %—

Short interest370.75K

Days to cover0.2d

Short volume24.3%

Squeeze score2 / 100

Next earnings—

EPS forecast—

Last EPS vs est—

Last surprise—

Setup gradeD

Conviction16 / 100

Pattern quality—

Tech rank55.8 / 100

Group rank—

Status laneNo active setup

Setup direction—

Pattern family

Resistance100.17

Support100.05

Days since event—

Candle confirm—

Congress activity

Disclosed STOCK Act trades in IQMM

All disclosures →

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

Insider activity

SEC Form 4 transactions in IQMM

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

SEC filings

EDGAR filings in IQMM

EDGAR →

No recent SEC filings on file for IQMM.

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