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High Income Securities Fund Stock Price Chart
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Sell
30
PCF
High Income Securities Fund
Last Price:
6.72
Seasonality Move:
3.61%
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More details here...- Based on the share price being below its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bearish and PCF is experiencing selling pressure, which indicates risk of future bearish movement.
High Income Securities Fund Price Chart Indicators
Moving Averages | Level | Buy or Sell |
---|---|---|
8-day SMA: | 6.77 | Sell |
20-day SMA: | 6.74 | Sell |
50-day SMA: | 6.76 | Sell |
200-day SMA: | 6.66 | Buy |
8-day EMA: | 6.75 | Sell |
20-day EMA: | 6.76 | Sell |
50-day EMA: | 6.74 | Sell |
200-day EMA: | 6.66 | Buy |
High Income Securities Fund Technical Analysis Indicators
Chart Indicators | Level | Buy or Sell |
---|---|---|
MACD (12, 26): | 0 | Buy |
Relative Strength Index (14 RSI): | 44.03 | Sell |
Chaikin Money Flow: | -125223 | - |
Bollinger Bands | Level | Buy or Sell |
---|---|---|
Bollinger Bands (25): | (6.69 - 6.81) | Sell |
Bollinger Bands (100): | (6.58 - 6.8) | Buy |
High Income Securities Fund Technical Analysis
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200-day SMA: | ||||||||||
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Bollinger Bands (100): |
Technical Analysis for High Income Securities Fund Stock
Is High Income Securities Fund Stock a Buy?
- High Income Securities Fund share price is 6.71 while PCF 8-day simple moving average is 6.77, which is a Sell signal.
- The stock price of PCF is 6.71 while High Income Securities Fund 20-day SMA is 6.74, which makes it a Sell.
- High Income Securities Fund 50-day simple moving average is 6.76 while PCF share price is 6.71, making it a Sell technically.
- PCF stock price is 6.71 and High Income Securities Fund 200-day simple moving average is 6.66, creating a Buy signal.
PCF Technical Analysis vs Fundamental Analysis
Sell
30
High Income Securities Fund (PCF)
is a Sell
Is High Income Securities Fund a Buy or a Sell?
-
High Income Securities Fund stock is rated a Sell
The current High Income Securities Fund [PCF] share price is $6.71. The Score for PCF is 30, which is 40% below its historic median score of 50, and infers higher risk than normal.
High Income Securities Fund Stock Info
Market Cap:
0
Price in USD:
6.71
Share Volume:
208.71K
High Income Securities Fund 52-Week Range
52-Week High:
7.00
52-Week Low:
6.19
Sell
30
High Income Securities Fund (PCF)
is a Sell
High Income Securities Fund Share Price Forecast
-
What is the High Income Securities Fund stock price today?
The High Income Securities Fund stock price is 6.71 USD today. -
Will PCF stock go up or go down?
High Income Securities Fund> share price is forecast to RISE/FALL based on technical indicators -
Is High Income Securities Fund overvalued?
According to simple moving average, exponential moving average, oscillators, and other technical indicators, High Income Securities Fund is overvalued.
Is High Income Securities Fund Stock a Buy?
- High Income Securities Fund share price is 6.71 while PCF 8-day exponential moving average is 6.75, which is a Sell signal.
- The stock price of PCF is 6.71 while High Income Securities Fund 20-day EMA is 6.76, which makes it a Sell.
- High Income Securities Fund 50-day exponential moving average is 6.74 while PCF share price is 6.71, making it a Sell technically.
- PCF stock price is 6.71 and High Income Securities Fund 200-day simple moving average is 6.66, creating a Buy signal.
Technical Analysis of High Income Securities Fund
Should I short High Income Securities Fund stock?
- PCF Moving Average Covergence Divergence (MACD) indicator is 0, suggesting High Income Securities Fund is a Buy
- High Income Securities Fund Relative Strength Index (RSI) is 44.03, which suggest High Income Securities Fund is oversold
- The Bollinger Bands (25) for High Income Securities Fund is (6.69 - 6.81), which suggest High Income Securities Fund is a Buy
- The Bollinger Bands (100) for High Income Securities Fund is (6.58 - 6.8), which suggest High Income Securities Fund is a Buy
* High Income Securities Fund stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.