Stock screener

NEAR

Conviction 30Scan · Thu, Sep 24, 2026

NEAR closed at $49.93 (-0.10%) on Sep 24, 2026. Price is below its 50-day and below its 200-day moving average. RSI(14) 24, RS Rating 40, -2.8% from its 52-week high, -2.3% year to date.

NEAR$49.93-0.10%
ResistanceSupportVol 14
63 bars
Vol MA14 1.14M
Jun 26Jul 15Aug 3Aug 19Sep 8Sep 24
Price49.93
Change-0.10%
Gap+0.05%
Rel volume3.09×
Avg volume1.02M
Avg $ vol51.3M
SMA 2050.22
SMA 5050.39
SMA 20050.76
Price vs 50-0.91%
Price vs 200-1.64%
MA stackbearish
50/200 cross—
Supertrenddown · 50.22
RSI (14)24
MACD hist-0.02
MACD cross—
Stoch %K / %D0 / 6
ADX (14)33
+DI / −DI12 / 38
RSI divergence—
MACD divergence—
ATR %0.16%
ADR %0.14%
52w high51.37
52w low49.93
From 52w high-2.80%
Above 52w low+0.00%
New 52w highNo
SqueezeOff
Bollinger width1.40%
%B0.09
Donchian pos0.00%
Donchian high50.65
Donchian low49.93
AVWAP (52w high)50.76
vs AVWAP high-1.64%
AVWAP (52w low)49.96
vs AVWAP low-0.06%
OBV trendDown
Chaikin MF (20)-0.49
Today vs 20d3.09×
Avg vol (14d)1.14M
Avg vol (20d)1.02M
Avg $ vol (20d)51.3M
Market cap—
RS Rating40 / 99
RS 3m (vs SPY)-5.87%
RS 6m (vs SPY)-18.38%
RS line new highNo
Trend template1/8
Technical rank46.7
1 week-0.42%
1 month-1.34%
3 months-1.38%
6 months-1.57%
1 year-2.63%
YTD-2.32%
Free float—
Float %—
Short interest861.82K
Days to cover1.0d
Short volume25.6%
Squeeze score33 / 100
Next earnings—
EPS forecast—
Last EPS vs est—
Last surprise—
Setup gradeD
Conviction30 / 100
Pattern quality—
Tech rank46.7 / 100
Group rank—
Status laneNo active setup
Setup direction—
Pattern family
Resistance50.62
Support50.21
Days since event—
Candle confirm—

Congress activity

Disclosed STOCK Act trades in NEAR

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

Insider activity

SEC Form 4 transactions in NEAR

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

SEC filings

EDGAR filings in NEAR

EDGAR →

No recent SEC filings on file for NEAR.

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