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SPDR® Blmbg 1-3 Mth T-Bill ETF Stock Price Chart

Sell
48

BIL
SPDR® Blmbg 1-3 Mth T-Bill ETF

Last Price:
91.66
Seasonality Move:
0.01%

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  • Based on the share price being above its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bullish and BIL is experiencing selling pressure, which indicates risk of future bearish movement.

SPDR® Blmbg 1-3 Mth T-Bill ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 91.59 Buy
20-day SMA: 91.61 Buy
50-day SMA: 91.61 Buy
200-day SMA: 91.6 Buy
8-day EMA: 91.6 Buy
20-day EMA: 91.6 Buy
50-day EMA: 91.6 Buy
200-day EMA: 91.59 Buy

SPDR® Blmbg 1-3 Mth T-Bill ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0 Sell
Relative Strength Index (14 RSI): 56.5 Buy
Chaikin Money Flow: -4260460 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (91.52 - 91.72) Buy
Bollinger Bands (100): (91.47 - 91.71) Buy

SPDR® Blmbg 1-3 Mth T-Bill ETF 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 SPDR® Blmbg 1-3 Mth T-Bill ETF Stock

Is SPDR® Blmbg 1-3 Mth T-Bill ETF Stock a Buy?

BIL Technical Analysis vs Fundamental Analysis

Sell
48
SPDR® Blmbg 1-3 Mth T-Bill ETF (BIL) is a Sell

Is SPDR® Blmbg 1-3 Mth T-Bill ETF a Buy or a Sell?

SPDR® Blmbg 1-3 Mth T-Bill ETF Stock Info

Market Cap:
0
Price in USD:
91.65
Share Volume:
4.26M

SPDR® Blmbg 1-3 Mth T-Bill ETF 52-Week Range

52-Week High:
91.86
52-Week Low:
91.21
Sell
48
SPDR® Blmbg 1-3 Mth T-Bill ETF (BIL) is a Sell

SPDR® Blmbg 1-3 Mth T-Bill ETF Share Price Forecast

Is SPDR® Blmbg 1-3 Mth T-Bill ETF Stock a Buy?

Technical Analysis of SPDR® Blmbg 1-3 Mth T-Bill ETF

Should I short SPDR® Blmbg 1-3 Mth T-Bill ETF stock?

* SPDR® Blmbg 1-3 Mth T-Bill ETF stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.