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Freehold Royalties 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 FRU.TO is experiencing buying pressure, which is a positive indicator for future bullish movement.

Freehold Royalties Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 13.6 Buy
20-day SMA: 13.57 Buy
50-day SMA: 13.71 Buy
200-day SMA: 13.87 Buy
8-day EMA: 13.77 Buy
20-day EMA: 13.61 Buy
50-day EMA: 13.65 Buy
200-day EMA: 13.91 Buy

Freehold Royalties Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.06 Buy
Relative Strength Index (14 RSI): 67.74 Buy
Chaikin Money Flow: 342417 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (13.22 - 13.92) Buy
Bollinger Bands (100): (13.42 - 14.06) Buy

Freehold Royalties 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 Freehold Royalties Stock

Is Freehold Royalties Stock a Buy?

FRU.TO Technical Analysis vs Fundamental Analysis

Buy
57
Freehold Royalties (FRU.TO) is a Buy

Is Freehold Royalties a Buy or a Sell?

Freehold Royalties Stock Info

Market Cap:
2.14B
Price in USD:
14.23
Share Volume:
570.7K

Freehold Royalties 52-Week Range

52-Week High:
15.23
52-Week Low:
12.66
Buy
57
Freehold Royalties (FRU.TO) is a Buy

Freehold Royalties Share Price Forecast

Is Freehold Royalties Stock a Buy?

Fundamental Analysis of Freehold Royalties

Is Freehold Royalties a good investment?

  • Analysts estimate an earnings decrease this quarter of $0.00 per share, a decrease next quarter of $0.00 per share, a decrease this year of $0.12 per share, and an increase next year of $0.02 per share.

Technical Analysis of Freehold Royalties

Should I short Freehold Royalties stock?

* Freehold Royalties stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.