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Tandem Diabetes Care Stock Price Chart

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

Tandem Diabetes Care Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 18.81 Buy
20-day SMA: 24.08 Sell
50-day SMA: 31.21 Sell
200-day SMA: 37.45 Sell
8-day EMA: 19.8 Buy
20-day EMA: 23.3 Sell
50-day EMA: 28.47 Sell
200-day EMA: 33.89 Sell

Tandem Diabetes Care Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -3.94 Sell
Relative Strength Index (14 RSI): 32.15 Sell
Chaikin Money Flow: 696067 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (19.12 - 33.04) Sell
Bollinger Bands (100): (26.5 - 37.18) Sell

Tandem Diabetes Care 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 Tandem Diabetes Care Stock

Is Tandem Diabetes Care Stock a Buy?

TNDM Technical Analysis vs Fundamental Analysis

Sell
38
Tandem Diabetes Care (TNDM) is a Sell

Is Tandem Diabetes Care a Buy or a Sell?

Tandem Diabetes Care Stock Info

Market Cap:
1.3B
Price in USD:
20.06
Share Volume:
1.4M

Tandem Diabetes Care 52-Week Range

52-Week High:
53.69
52-Week Low:
17.64
Sell
38
Tandem Diabetes Care (TNDM) is a Sell

Tandem Diabetes Care Share Price Forecast

Is Tandem Diabetes Care Stock a Buy?

Fundamental Analysis of Tandem Diabetes Care

Is Tandem Diabetes Care a good investment?

  • Analysts estimate an earnings increase this quarter of $0.20 per share, a decrease next quarter of $0.16 per share, an increase this year of $0.46 per share, and an increase next year of $0.56 per share.

Technical Analysis of Tandem Diabetes Care

Should I short Tandem Diabetes Care stock?

* Tandem Diabetes Care stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.