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Peoples Financial Services Stock Price Chart

  • The current trend is moderately bearish and PFIS is experiencing slight buying pressure.

Peoples Financial Services Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 48.56 Sell
20-day SMA: 48.84 Sell
50-day SMA: 45.49 Buy
200-day SMA: 48.25 Buy
8-day EMA: 48.57 Sell
20-day EMA: 48.15 Buy
50-day EMA: 47.1 Buy
200-day EMA: 47.16 Buy

Peoples Financial Services Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.8 Buy
Relative Strength Index (14 RSI): 52.89 Buy
Chaikin Money Flow: 4130 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (45.7 - 50.2) Buy
Bollinger Bands (100): (43.98 - 50.84) 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
56
Peoples Financial Services (PFIS) is a Buy

Is Peoples Financial Services a Buy or a Sell?

Peoples Financial Services Stock Info

Market Cap:
482.8M
Price in USD:
48.30
Share Volume:
12.9K

Peoples Financial Services 52-Week Range

52-Week High:
59.70
52-Week Low:
37.62
Buy
56
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 increase this quarter of $0.39 per share, an increase next quarter of $0.11 per share, an increase this year of $1.62 per share, and an increase next year of $0.44 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.