News (NWS) Stock Chart
NASDAQ: NWSConsumer DiscretionaryNewspapers/MagazinesUSD
At close: Oct 7, 4:00 PM ET · Delayed 15 min
NWS technical summary
NWS is trading 4.6% below its 50-day simple moving average of $33.03 and 4.3% above its 200-day average of $30.21. The 50-day average is above the 200-day average, a configuration technical analysts associate with a longer-term uptrend. The 14-day Relative Strength Index (RSI) is 41.2, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $25.49 (Feb 13, 2026) to $35.76 (Aug 27, 2026); the current price sits 59% of the way from the low to the high. Annualized 30-day volatility is 22.5%. Based on the last session's high, low and close, the classic pivot point is $31.49, with first resistance at $31.76 and first support at $31.25.
These indicators describe past price behavior for News; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 41.2
- 50-day SMA
- 33.03
- 200-day SMA
- 30.21
- Beta
- —
- 1Y high
- 35.76 (Aug 27)
- 1Y low
- 25.49 (Feb 13)
- Last close
- 31.52
NWS price performance
1 week
-0.63%
1 month
-5.46%
3 months
+4.72%
6 months
+9.83%
Year to date
+6.38%
1 year
+2.04%
3 years
+45.05%
5 years
+30.68%
NWS price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 31.63Price below | 31.64Price below |
| 10-day | 31.69Price below | 31.81Price below |
| 20-day | 32.30Price below | 32.22Price below |
| 50-day | 33.03Price below | 32.40Price below |
| 100-day | 31.60Price below | 31.79Price below |
| 200-day | 30.21Price above | 30.79Price above |
Moving averages are computed from daily closing prices over the past year. What is a moving average?
Pivot points
| Level | Price |
|---|---|
| Resistance 3 (R3) | 32.26 |
| Resistance 2 (R2) | 31.99 |
| Resistance 1 (R1) | 31.76 |
| Pivot point | 31.49 |
| Support 1 (S1) | 31.25 |
| Support 2 (S2) | 30.98 |
| Support 3 (S3) | 30.75 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work