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Kingstone Companies 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 KINS is experiencing slight buying pressure.

Kingstone Companies Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 12.84 Buy
20-day SMA: 11.69 Buy
50-day SMA: 10.28 Buy
200-day SMA: 6.56 Buy
8-day EMA: 13.27 Buy
20-day EMA: 12.03 Buy
50-day EMA: 10.62 Buy
200-day EMA: 7.27 Buy

Kingstone Companies Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 1.09 Buy
Relative Strength Index (14 RSI): 77.73 Buy
Chaikin Money Flow: 172069 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (9.87 - 12.79) Buy
Bollinger Bands (100): (6.66 - 11.1) Buy

Kingstone Companies 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 Kingstone Companies Stock

Is Kingstone Companies Stock a Buy?

KINS Technical Analysis vs Fundamental Analysis

Buy
63
Kingstone Companies (KINS) is a Buy

Is Kingstone Companies a Buy or a Sell?

Kingstone Companies Stock Info

Market Cap:
187.09M
Price in USD:
15.15
Share Volume:
772.68K

Kingstone Companies 52-Week Range

52-Week High:
15.82
52-Week Low:
1.95
Buy
63
Kingstone Companies (KINS) is a Buy

Kingstone Companies Share Price Forecast

Is Kingstone Companies Stock a Buy?

Fundamental Analysis of Kingstone Companies

Is Kingstone Companies a good investment?

  • Analysts estimate an earnings increase this quarter of $0.09 per share, a decrease next quarter of $0.00 per share, an increase this year of $2.37 per share, and an increase next year of $0.15 per share.

Technical Analysis of Kingstone Companies

Should I short Kingstone Companies stock?

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