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ProShares UltraShort FTSE China 50 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 FXP is experiencing buying pressure, which is a positive indicator for future bullish movement.

ProShares UltraShort FTSE China 50 Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 31.32 Sell
20-day SMA: 30.83 Sell
50-day SMA: 31.11 Sell
200-day SMA: 35.33 Sell
8-day EMA: 30.97 Sell
20-day EMA: 31.05 Sell
50-day EMA: 31.04 Sell
200-day EMA: 33.2 Sell

ProShares UltraShort FTSE China 50 Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.03 Sell
Relative Strength Index (14 RSI): 45.76 Sell
Chaikin Money Flow: 883 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (29.99 - 31.69) Sell
Bollinger Bands (100): (28.25 - 31.95) Buy

ProShares UltraShort FTSE China 50 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 ProShares UltraShort FTSE China 50 Stock

Is ProShares UltraShort FTSE China 50 Stock a Buy?

FXP Technical Analysis vs Fundamental Analysis

Buy
60
ProShares UltraShort FTSE China 50 (FXP) is a Buy

Is ProShares UltraShort FTSE China 50 a Buy or a Sell?

ProShares UltraShort FTSE China 50 Stock Info

Market Cap:
0
Price in USD:
30.49
Share Volume:
1.16K

ProShares UltraShort FTSE China 50 52-Week Range

52-Week High:
51.19
52-Week Low:
24.27
Buy
60
ProShares UltraShort FTSE China 50 (FXP) is a Buy

ProShares UltraShort FTSE China 50 Share Price Forecast

Is ProShares UltraShort FTSE China 50 Stock a Buy?

Technical Analysis of ProShares UltraShort FTSE China 50

Should I short ProShares UltraShort FTSE China 50 stock?

* ProShares UltraShort FTSE China 50 stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.