Financhill
Back

White Mountains Insurance Group 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 WTM is experiencing buying pressure, which is a positive indicator for future bullish movement.

White Mountains Insurance Group Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 1883.01 Buy
20-day SMA: 1867.49 Buy
50-day SMA: 1877.8 Buy
200-day SMA: 1830.98 Buy
8-day EMA: 1883.75 Buy
20-day EMA: 1875.16 Buy
50-day EMA: 1878.57 Buy
200-day EMA: 1830.82 Buy

White Mountains Insurance Group Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 4.35 Buy
Relative Strength Index (14 RSI): 55.88 Buy
Chaikin Money Flow: 12338 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (1839.72 - 1886.38) Buy
Bollinger Bands (100): (1844.09 - 1954.07) Buy

White Mountains Insurance Group 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 White Mountains Insurance Group Stock

Is White Mountains Insurance Group Stock a Buy?

WTM Technical Analysis vs Fundamental Analysis

Buy
52
White Mountains Insurance Group (WTM) is a Buy

Is White Mountains Insurance Group a Buy or a Sell?

White Mountains Insurance Group Stock Info

Market Cap:
4.9B
Price in USD:
1,899.99
Share Volume:
12.3K

White Mountains Insurance Group 52-Week Range

52-Week High:
2,023.00
52-Week Low:
1,665.71
Buy
52
White Mountains Insurance Group (WTM) is a Buy

White Mountains Insurance Group Share Price Forecast

Is White Mountains Insurance Group Stock a Buy?

Technical Analysis of White Mountains Insurance Group

Should I short White Mountains Insurance Group stock?

* White Mountains Insurance Group stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.