White Mountains Stock Forecast - Price Action Indicator
| WTM Stock | USD 2,017 45.47 2.20% |
White Stock Forecast is based on your current time horizon. Although White Mountains' naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of White Mountains' systematic risk associated with finding meaningful patterns of White Mountains fundamentals over time.
As of now The relative strength indicator of White Mountains' share price is above 80 . This entails that the stock is significantly overbought by investors. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 87
Buy Peaked
Oversold | Overbought |
Quarterly Earnings Growth (0.37) | EPS Estimate Current Year 190 | EPS Estimate Next Year 90 | Wall Street Target Price 360 | Quarterly Revenue Growth (0.09) |
Using White Mountains hype-based prediction, you can estimate the value of White Mountains Insurance from the perspective of White Mountains response to recently generated media hype and the effects of current headlines on its competitors.
White Mountains Insurance Hype to Price Pattern
Investor biases related to White Mountains' public news can be used to forecast risks associated with an investment in White. The trend in average sentiment can be used to explain how an investor holding White can time the market purely based on public headlines and social activities around White Mountains Insurance. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of White Mountains' market sentiment to its price can help taders to make decisions based on the overall investors consensus about White Mountains.
White Mountains after-hype prediction price | USD 2060.13 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of White Mountains to cross-verify your projections. White Mountains Additional Predictive Modules
Most predictive techniques to examine White price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for White using various technical indicators. When you analyze White charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
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| Overlap Studies | ||
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| Volume Indicators |
| Previous Price Action Indicator | Price Action Indicator | Trend |
| (22.74) | (22.74) |
| Check White Mountains Volatility | Backtest White Mountains | Information Ratio |
White Mountains Trading Date Momentum
| On January 06 2026 White Mountains Insurance was traded for 2,017 at the closing time. Highest White Mountains's price during the trading hours was 2,017 and the lowest price during the day was 2,017 . There was no trading activity during the period 0.0. Lack of trading volume on the 6th of January had no short-term effect on price fluctuation. The trading price change to current price is 2.25% . |
Price Action Indicator (or PAIN) was developed by Michael B. Geraty and published in 'Futures' magazine in August 1997.
| Compare White Mountains to competition |
Other Forecasting Options for White Mountains
For every potential investor in White, whether a beginner or expert, White Mountains' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. White Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in White. Basic forecasting techniques help filter out the noise by identifying White Mountains' price trends.View White Mountains Related Equities
| Risk & Return | Correlation |
White Mountains Insurance Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of White Mountains' price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of White Mountains' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
White Mountains Market Strength Events
Market strength indicators help investors to evaluate how White Mountains stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading White Mountains shares will generate the highest return on investment. By undertsting and applying White Mountains stock market strength indicators, traders can identify White Mountains Insurance entry and exit signals to maximize returns.
| Daily Balance Of Power | (9,223,372,036,855) | |||
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 2017.39 | |||
| Day Typical Price | 2017.39 | |||
| Price Action Indicator | (22.74) | |||
| Period Momentum Indicator | (45.47) | |||
| Relative Strength Index | 87.99 |
White Mountains Risk Indicators
The analysis of White Mountains' basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in White Mountains' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting white stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 1.06 | |||
| Semi Deviation | 0.6206 | |||
| Standard Deviation | 1.82 | |||
| Variance | 3.32 | |||
| Downside Variance | 1.03 | |||
| Semi Variance | 0.3852 | |||
| Expected Short fall | (1.27) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
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Try AI Portfolio ProphetCheck out Historical Fundamental Analysis of White Mountains to cross-verify your projections. You can also try the Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
Is Property & Casualty Insurance space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of White Mountains. If investors know White will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about White Mountains listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.37) | Dividend Share 1 | Earnings Share 54.87 | Revenue Per Share | Quarterly Revenue Growth (0.09) |
The market value of White Mountains Insurance is measured differently than its book value, which is the value of White that is recorded on the company's balance sheet. Investors also form their own opinion of White Mountains' value that differs from its market value or its book value, called intrinsic value, which is White Mountains' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because White Mountains' market value can be influenced by many factors that don't directly affect White Mountains' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between White Mountains' value and its price as these two are different measures arrived at by different means. Investors typically determine if White Mountains is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, White Mountains' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.