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Peoples Financial Services Stock Price Chart

  • The current trend is moderately bullish and PFIS is experiencing slight selling pressure.

Peoples Financial Services Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 47 Buy
20-day SMA: 46.43 Buy
50-day SMA: 46.36 Buy
200-day SMA: 42.97 Buy
8-day EMA: 47.34 Buy
20-day EMA: 46.48 Buy
50-day EMA: 45.52 Buy
200-day EMA: 43.51 Buy

Peoples Financial Services Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.65 Buy
Relative Strength Index (14 RSI): 56.97 Buy
Chaikin Money Flow: -20443 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (44.71 - 47.61) Buy
Bollinger Bands (100): (39.55 - 47.01) Buy

Peoples Financial Services 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 Peoples Financial Services Stock

Is Peoples Financial Services Stock a Buy?

PFIS Technical Analysis vs Fundamental Analysis

Buy
60
Peoples Financial Services (PFIS) is a Buy

Is Peoples Financial Services a Buy or a Sell?

Peoples Financial Services Stock Info

Market Cap:
476.64M
Price in USD:
47.78
Share Volume:
44.9K

Peoples Financial Services 52-Week Range

52-Week High:
51.00
52-Week Low:
36.26
Buy
60
Peoples Financial Services (PFIS) is a Buy

Peoples Financial Services Share Price Forecast

Is Peoples Financial Services Stock a Buy?

Fundamental Analysis of Peoples Financial Services

Is Peoples Financial Services a good investment?

  • Analysts estimate an earnings decrease this quarter of $0.14 per share, an increase next quarter of $0.24 per share, a decrease this year of $0.91 per share, and an increase next year of $1.70 per share.

Technical Analysis of Peoples Financial Services

Should I short Peoples Financial Services stock?

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