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Natura &Co Holding SA Stock Price Chart

  • Based on the share price being above its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bullish and NTCOY is experiencing slight buying pressure.

Natura &Co Holding SA Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 6.47 Buy
20-day SMA: 6.5 Buy
50-day SMA: 6.81 Sell
200-day SMA: 6.48 Buy
8-day EMA: 6.47 Buy
20-day EMA: 6.54 Buy
50-day EMA: 6.67 Buy
200-day EMA: 6.49 Buy

Natura &Co Holding SA Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.11 Sell
Relative Strength Index (14 RSI): 52.46 Buy
Chaikin Money Flow: 218889 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (6.25 - 6.93) Buy
Bollinger Bands (100): (6.44 - 7.06) Sell

Natura &Co Holding SA 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 Natura &Co Holding SA Stock

Is Natura &Co Holding SA Stock a Buy?

NTCOY Technical Analysis vs Fundamental Analysis

Buy
80
Natura &Co Holding SA (NTCOY) is a Buy

Is Natura &Co Holding SA a Buy or a Sell?

Natura &Co Holding SA Stock Info

Market Cap:
4.64B
Price in USD:
6.70
Share Volume:
3.28M

Natura &Co Holding SA 52-Week Range

52-Week High:
15.00
52-Week Low:
4.37
Buy
80
Natura &Co Holding SA (NTCOY) is a Buy

Natura &Co Holding SA Share Price Forecast

Is Natura &Co Holding SA Stock a Buy?

Fundamental Analysis of Natura &Co Holding SA

Is Natura &Co Holding SA a good investment?

  • Analysts estimate an earnings decrease this quarter of $0.09 per share, a decrease next quarter of $0.00 per share, a decrease this year of $1.79 per share, and a decrease next year of $0.00 per share.

Technical Analysis of Natura &Co Holding SA

Should I short Natura &Co Holding SA stock?

* Natura &Co Holding SA stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.