White Mountains Insurance Stock Math Operators Price Series Summation

WTM Stock  USD 2,045  7.24  0.35%   
White Mountains math operators tool provides the execution environment for running the Price Series Summation operator and other technical functions against White Mountains. White Mountains value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of math operators indicators. As with most other technical indicators, the Price Series Summation operator function is designed to identify and follow existing trends and Kinsale Capital Group. Math Operators module provides interface to determine different price movement patterns of similar pairs of equity instruments such as Kinsale Capital Group and White Mountains.

Operator
The output start index for this execution was zero with a total number of output elements of sixty-one. White Mountains Insurance Price Series Summation is a cross summation of White Mountains price series and its benchmark/peer.

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.

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 math operators 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.
 2023 2024 2025 2026 (projected)
Dividend Yield6.84E-45.08E-45.84E-45.55E-4
Price To Sales Ratio1.762.091.882.53
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.
Hype
Prediction
LowEstimatedHigh
2,0512,0522,053
Details
Intrinsic
Valuation
LowRealHigh
1,8472,2822,283
Details
Naive
Forecast
LowNextHigh
2,0402,0412,042
Details
0 Analysts
Consensus
LowTargetHigh
327.60360.00399.60
Details

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As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.

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When determining whether White Mountains Insurance is a strong investment it is important to analyze White Mountains' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact White Mountains' future performance. For an informed investment choice regarding White Stock, refer to the following important reports:
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 population.
You can also try the Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
Will Property & Casualty Insurance sector continue expanding? Could White diversify its offerings? Factors like these will boost the valuation of White Mountains. Anticipated expansion of White directly elevates investor willingness to pay premium valuations. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every White Mountains data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Quarterly Earnings Growth
(0.37)
Dividend Share
1
Earnings Share
54.38
Revenue Per Share
980.232
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. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. 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. Meanwhile, White Mountains' quoted price indicates the marketplace figure where supply meets demand through bilateral consent.