Financhill
Back

Koninklijke Philips NV Stock Price Chart

  • The current trend is relatively stagnant and PHG is experiencing selling pressure, which indicates risk of future bearish movement.

Koninklijke Philips NV Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 25.35 Buy
20-day SMA: 25.4 Buy
50-day SMA: 26.05 Sell
200-day SMA: 26.83 Sell
8-day EMA: 25.45 Buy
20-day EMA: 25.58 Buy
50-day EMA: 26.46 Sell
200-day EMA: 26.36 Sell

Koninklijke Philips NV Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.28 Sell
Relative Strength Index (14 RSI): 51 Buy
Chaikin Money Flow: -547437 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (25.12 - 26.02) Buy
Bollinger Bands (100): (25.87 - 31.21) Sell

Koninklijke Philips NV 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 Koninklijke Philips NV Stock

Is Koninklijke Philips NV Stock a Buy?

PHG Technical Analysis vs Fundamental Analysis

Buy
68
Koninklijke Philips NV (PHG) is a Buy

Is Koninklijke Philips NV a Buy or a Sell?

Koninklijke Philips NV Stock Info

Market Cap:
23.4B
Price in USD:
25.82
Share Volume:
710K

Koninklijke Philips NV 52-Week Range

52-Week High:
32.91
52-Week Low:
18.90
Buy
68
Koninklijke Philips NV (PHG) is a Buy

Koninklijke Philips NV Share Price Forecast

Is Koninklijke Philips NV Stock a Buy?

Fundamental Analysis of Koninklijke Philips NV

Is Koninklijke Philips NV a good investment?

  • Analysts estimate an earnings increase this quarter of $0.00 per share, a decrease next quarter of $0.00 per share, an increase this year of $0.46 per share, and a decrease next year of $0.00 per share.

Technical Analysis of Koninklijke Philips NV

Should I short Koninklijke Philips NV stock?

* Koninklijke Philips NV stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.