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Natures Sunshine Products Stock Price Chart

  • The current trend is relatively stagnant and NATR is experiencing slight buying pressure.

Natures Sunshine Products Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 13.56 Buy
20-day SMA: 13.52 Buy
50-day SMA: 14.38 Sell
200-day SMA: 16.64 Sell
8-day EMA: 13.64 Buy
20-day EMA: 13.63 Buy
50-day EMA: 14.16 Sell
200-day EMA: 15.6 Sell

Natures Sunshine Products Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.11 Sell
Relative Strength Index (14 RSI): 52.52 Buy
Chaikin Money Flow: 10567 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (13.13 - 13.77) Buy
Bollinger Bands (100): (13.49 - 16.67) Sell

Natures Sunshine Products Technical Analysis

Technical Analysis: Buy or Sell?
8-day SMA:
20-day SMA:
50-day SMA:
200-day SMA:
8-day EMA:
20-day EMA:
50-day EMA:
200-day EMA:
MACD (12, 26):
Relative Strength Index (14 RSI):
Bollinger Bands (25):
Bollinger Bands (100):

Technical Analysis for Natures Sunshine Products Stock

Is Natures Sunshine Products Stock a Buy?

NATR Technical Analysis vs Fundamental Analysis

Sell
50
Natures Sunshine Products (NATR) is a Sell

Is Natures Sunshine Products a Buy or a Sell?

Natures Sunshine Products Stock Info

Market Cap:
257.26M
Price in USD:
13.90
Share Volume:
28.18K

Natures Sunshine Products 52-Week Range

52-Week High:
21.72
52-Week Low:
10.81
Sell
50
Natures Sunshine Products (NATR) is a Sell

Natures Sunshine Products Share Price Forecast

Is Natures Sunshine Products Stock a Buy?

Fundamental Analysis of Natures Sunshine Products

Is Natures Sunshine Products a good investment?

  • Analysts estimate an earnings decrease this quarter of $0.01 per share, an increase next quarter of $0.03 per share, a decrease this year of $0.13 per share, and an increase next year of $0.26 per share.

Technical Analysis of Natures Sunshine Products

Should I short Natures Sunshine Products stock?

* Natures Sunshine Products stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.