Financhill
Back

White Mountains Insurance Group Stock Price Chart

  • Based on the share price being below its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bearish 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: 1792.5 Buy
20-day SMA: 1797.9 Buy
50-day SMA: 1794.87 Buy
200-day SMA: 1841.37 Sell
8-day EMA: 1797.37 Buy
20-day EMA: 1794.76 Buy
50-day EMA: 1802.8 Buy
200-day EMA: 1815.2 Sell

White Mountains Insurance Group Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 2.24 Buy
Relative Strength Index (14 RSI): 54.18 Buy
Chaikin Money Flow: 23309 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (1773.15 - 1813.03) Buy
Bollinger Bands (100): (1771.87 - 1899.07) Sell

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

Sell
40
White Mountains Insurance Group (WTM) is a Sell

Is White Mountains Insurance Group a Buy or a Sell?

White Mountains Insurance Group Stock Info

Market Cap:
4.7B
Price in USD:
1,813.97
Share Volume:
24.1K

White Mountains Insurance Group 52-Week Range

52-Week High:
2,023.00
52-Week Low:
1,666.22
Sell
40
White Mountains Insurance Group (WTM) is a Sell

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.