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United Parcel Service Stock Price Chart

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

United Parcel Service Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 146.24 Buy
20-day SMA: 147.23 Buy
50-day SMA: 149.55 Sell
200-day SMA: 156.67 Sell
8-day EMA: 146.96 Buy
20-day EMA: 147.33 Buy
50-day EMA: 148.99 Sell
200-day EMA: 156.54 Sell

United Parcel Service Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.86 Sell
Relative Strength Index (14 RSI): 51.77 Buy
Chaikin Money Flow: -1388057 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (144.2 - 150.88) Buy
Bollinger Bands (100): (146.32 - 157.8) Sell

United Parcel Service 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 United Parcel Service Stock

Is United Parcel Service Stock a Buy?

UPS Technical Analysis vs Fundamental Analysis

Sell
48
United Parcel Service (UPS) is a Sell

Is United Parcel Service a Buy or a Sell?

United Parcel Service Stock Info

Market Cap:
126.73B
Price in USD:
148.55
Share Volume:
2.65M

United Parcel Service 52-Week Range

52-Week High:
192.98
52-Week Low:
133.68
Sell
48
United Parcel Service (UPS) is a Sell

United Parcel Service Share Price Forecast

Is United Parcel Service Stock a Buy?

Fundamental Analysis of United Parcel Service

Is United Parcel Service a good investment?

  • Analysts estimate an earnings decrease this quarter of $0.51 per share, an increase next quarter of $0.37 per share, a decrease this year of $0.59 per share, and an increase next year of $1.55 per share.

Technical Analysis of United Parcel Service

Should I short United Parcel Service stock?

* United Parcel Service stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.