White Mountains Insurance Stock Volume Indicators Chaikin AD Oscillator
| WTM Stock | USD 1,988 17.02 0.86% |
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The output start index for this execution was nine with a total number of output elements of fifty-two. The Accumulation/Distribution Oscillator was developed by Marc Chaikin. It is a moving average oscillator based on the Accumulation/Distribution indicator. The Chaikin Oscillator is created by subtracting White Mountains Insurance 10-period exponential moving average of the Accumulation/Distribution Line from a 3-period exponential moving average of the Accumulation/Distribution Line.
White Mountains Technical Analysis Modules
Most technical analysis of White Mountains help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for White from various momentum indicators to cycle 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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About White Mountains Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of White Mountains Insurance. We use our internally-developed statistical techniques to arrive at the intrinsic value of White Mountains Insurance based on widely used predictive technical indicators. In general, we focus on analyzing White Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build White Mountains's daily price indicators and compare them against related drivers, such as volume indicators and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of White Mountains's intrinsic value. In addition to deriving basic predictive indicators for White Mountains, we also check how macroeconomic factors affect White Mountains price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2021 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 0.001005 | 7.51E-4 | 6.84E-4 | 6.49E-4 | Price To Sales Ratio | 3.27 | 3.45 | 1.76 | 1.82 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of White Mountains' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
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If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment. | Gambling Invested over 90 shares | |
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Check out Your Current Watchlist to better understand how to build diversified portfolios, which includes a position in White Mountains Insurance. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in estimate. You can also try the Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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 6.582 | Dividend Share 1 | Earnings Share 252.46 | Revenue Per Share 1.1 K | Quarterly Revenue Growth 0.835 |
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.