Financhill
Back

SPDR® Portfolio S&P 600™ Sm Cap ETF 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 SPSM is experiencing buying pressure, which is a positive indicator for future bullish movement.

SPDR® Portfolio S&P 600™ Sm Cap ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 47.56 Sell
20-day SMA: 46.45 Buy
50-day SMA: 45.61 Buy
200-day SMA: 43.16 Buy
8-day EMA: 47.18 Sell
20-day EMA: 46.7 Buy
50-day EMA: 45.76 Buy
200-day EMA: 43.38 Buy

SPDR® Portfolio S&P 600™ Sm Cap ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.59 Buy
Relative Strength Index (14 RSI): 55.6 Buy
Chaikin Money Flow: 1540748 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (44.74 - 47.72) Buy
Bollinger Bands (100): (43.02 - 46.3) Buy

SPDR® Portfolio S&P 600™ Sm Cap 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® Portfolio S&P 600™ Sm Cap ETF Stock

Is SPDR® Portfolio S&P 600™ Sm Cap ETF Stock a Buy?

SPSM Technical Analysis vs Fundamental Analysis

Sell
45
SPDR® Portfolio S&P 600™ Sm Cap ETF (SPSM) is a Sell

Is SPDR® Portfolio S&P 600™ Sm Cap ETF a Buy or a Sell?

SPDR® Portfolio S&P 600™ Sm Cap ETF Stock Info

Market Cap:
0
Price in USD:
47.07
Share Volume:
1.58M

SPDR® Portfolio S&P 600™ Sm Cap ETF 52-Week Range

52-Week High:
49.29
52-Week Low:
37.26
Sell
45
SPDR® Portfolio S&P 600™ Sm Cap ETF (SPSM) is a Sell

SPDR® Portfolio S&P 600™ Sm Cap ETF Share Price Forecast

Is SPDR® Portfolio S&P 600™ Sm Cap ETF Stock a Buy?

Technical Analysis of SPDR® Portfolio S&P 600™ Sm Cap ETF

Should I short SPDR® Portfolio S&P 600™ Sm Cap ETF stock?

* SPDR® Portfolio S&P 600™ Sm Cap 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.