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Franklin Street Properties Stock Price Chart
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Sell
30
FSP
Franklin Street Properties
Last Price:
$1.65
Seasonality Move:
-4.53%
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$
7
-
Based on the share price being above its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bullish and FSP is experiencing selling pressure, which indicates risk of future bearish movement.
Franklin Street Properties Price Chart Indicators
| Moving Averages | Level | Buy or Sell |
|---|---|---|
| 8-day SMA: | 1.7 | Sell |
| 20-day SMA: | 1.71 | Sell |
| 50-day SMA: | 1.72 | Sell |
| 200-day SMA: | 1.77 | Sell |
| 8-day EMA: | 1.4 | Buy |
| 20-day EMA: | 0.86 | Buy |
| 50-day EMA: | 0.42 | Buy |
| 200-day EMA: | 0.11 | Buy |
Franklin Street Properties Technical Analysis Indicators
| Chart Indicators | Level | Buy or Sell |
|---|---|---|
| MACD (12, 26): | 0.46 | Buy |
| Relative Strength Index (14 RSI): | 44.28 | Sell |
| Chaikin Money Flow: | -456780 | - |
| Bollinger Bands | Level | Buy or Sell |
|---|---|---|
| Bollinger Bands (25): | (1.68 - 1.76) | Sell |
| Bollinger Bands (100): | (1.59 - 1.85) | Sell |
Franklin Street Properties Technical Analysis
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| MACD (12, 26): | ||||||||||
| Relative Strength Index (14 RSI): | ||||||||||
| Bollinger Bands (25): | ||||||||||
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Technical Analysis for Franklin Street Properties Stock
Is Franklin Street Properties Stock a Buy?
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Franklin Street Properties share price is 1.66 while FSP 8-day simple moving average is 1.70, which is a Sell signal.
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The stock price of FSP is 1.66 while Franklin Street Properties 20-day SMA is 1.71, which makes it a Sell.
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Franklin Street Properties 50-day simple moving average is 1.72 while FSP share price is 1.66, making it a Sell technically.
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FSP stock price is 1.66 and Franklin Street Properties 200-day simple moving average is 1.77, creating a Sell signal.
FSP Technical Analysis vs Fundamental Analysis
Sell
30
Franklin Street Properties (FSP)
is a Sell
Is Franklin Street Properties a Buy or a Sell?
-
Franklin Street Properties stock is rated a SellThe current Franklin Street Properties [FSP] share price is $1.66. The Score for FSP is 30, which is 40% below its historic median score of 50, and infers higher risk than normal.
Franklin Street Properties Stock Info
Market Cap:
171.9M
Price in USD:
1.66
Share Volume:
761.3K
Franklin Street Properties 52-Week Range
52-Week High:
2.21
52-Week Low:
1.36
Sell
30
Franklin Street Properties (FSP)
is a Sell
Franklin Street Properties Share Price Forecast
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What is the Franklin Street Properties stock price today?The Franklin Street Properties stock price is 1.66 USD today.
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Will FSP stock go up or go down?Franklin Street Properties> share price is forecast to RISE/FALL based on technical indicators
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Is Franklin Street Properties overvalued?According to simple moving average, exponential moving average, oscillators, and other technical indicators, Franklin Street Properties is overvalued.
Is Franklin Street Properties Stock a Buy?
-
Franklin Street Properties share price is 1.66 while FSP 8-day exponential moving average is 1.40, which is a Buy signal.
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The stock price of FSP is 1.66 while Franklin Street Properties 20-day EMA is 0.86, which makes it a Buy.
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Franklin Street Properties 50-day exponential moving average is 0.42 while FSP share price is 1.66, making it a Buy technically.
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FSP stock price is 1.66 and Franklin Street Properties 200-day simple moving average is 0.11, creating a Buy signal.
Technical Analysis of Franklin Street Properties
Should I short Franklin Street Properties stock?
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FSP Moving Average Covergence Divergence (MACD) indicator is 0.46, suggesting Franklin Street Properties is a Buy
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Franklin Street Properties Relative Strength Index (RSI) is 44.28, which suggest Franklin Street Properties is oversold
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The Bollinger Bands (25) for Franklin Street Properties is (1.68 - 1.76), which suggest Franklin Street Properties is a Sell
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The Bollinger Bands (100) for Franklin Street Properties is (1.59 - 1.85), which suggest Franklin Street Properties is a Sell
* Franklin Street Properties stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.