MetaCap

Neighborhood Intelligence (NXH) Stock Chart

NASDAQ: NXHConsumer DiscretionaryCatalog/Specialty DistributionUSD

1.72-0.06 (-3.38%)

At close: Oct 8, 4:00 PM ET · Delayed 15 min

Pre-market: 1.74 +1.46%

NXH technical summary

NXH is trading 54.3% below its 50-day simple moving average of $3.75 and 66.2% below its 200-day average of $5.07. The 50-day average is below the 200-day average, a configuration technical analysts associate with a longer-term downtrend. The 14-day Relative Strength Index (RSI) is 11.5, below 30, the level many traders consider oversold.

Over the past year, the stock ranged from $1.64 (Oct 8, 2026) to $11.34 (Oct 8, 2025); the current price sits 1% of the way from the low to the high. Annualized 30-day volatility is 95.8%. Based on the last session's high, low and close, the classic pivot point is $1.70, with first resistance at $1.77 and first support at $1.65.

These indicators describe past price behavior for Neighborhood Intelligence; they are not predictions.

Summary generated from market data by MetaCap's automated system. Methodology

Technical indicators

Beta
—
1Y high
11.34 (Oct 8)
1Y low
1.64 (Oct 8)
Last close
1.72

NXH price performance

1 week

-39.40%

1 month

-55.45%

3 months

-68.76%

6 months

-64.12%

Year to date

-68.59%

1 year

-84.61%

3 years

-88.58%

5 years

-97.79%

NXH price return, excluding dividends.

Moving averages

Simple and exponential moving averages
PeriodSimple (SMA)Exponential (EMA)
5-day2.03Price below2.02Price below
10-day2.53Price below2.39Price below
20-day2.99Price below2.84Price below
50-day3.75Price below3.61Price below
100-day4.71Price below4.28Price below
200-day5.07Price below5.02Price below

Moving averages are computed from daily closing prices over the past year. What is a moving average?

Pivot points

Classic pivot points
LevelPrice
Resistance 3 (R3)1.89
Resistance 2 (R2)1.82
Resistance 1 (R1)1.77
Pivot point1.70
Support 1 (S1)1.65
Support 2 (S2)1.59
Support 3 (S3)1.53

Classic floor-trader pivots from the last session's high, low and close. How pivot points work

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