Lifetime Brands Stock Math Operators Price Series Summation

LCUT Stock  USD 5.89  0.13  2.26%   
Lifetime Brands math operators tool provides the execution environment for running the Price Series Summation operator and other technical functions against Lifetime Brands. Lifetime Brands 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 Dow Jones Industrial. Math Operators module provides interface to determine different price movement patterns of similar pairs of equity instruments such as Dow Jones Industrial and Lifetime Brands.

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

Lifetime Brands Technical Analysis Modules

Most technical analysis of Lifetime Brands 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 Lifetime from various momentum indicators to cycle indicators. When you analyze Lifetime 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 Lifetime Brands 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 Lifetime Brands. We use our internally-developed statistical techniques to arrive at the intrinsic value of Lifetime Brands based on widely used predictive technical indicators. In general, we focus on analyzing Lifetime Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Lifetime Brands'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 Lifetime Brands's intrinsic value. In addition to deriving basic predictive indicators for Lifetime Brands, we also check how macroeconomic factors affect Lifetime Brands price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2022 2023 2024 (projected)
Dividend Yield0.02330.02630.0235
Price To Sales Ratio0.220.210.2
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Lifetime Brands' 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
3.295.838.37
Details
Intrinsic
Valuation
LowRealHigh
4.707.249.78
Details
Naive
Forecast
LowNextHigh
3.005.548.09
Details
2 Analysts
Consensus
LowTargetHigh
10.1611.1712.40
Details

Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Lifetime Brands in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Lifetime Brands' short interest history, or implied volatility extrapolated from Lifetime Brands options trading.

Trending Themes

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 Idea
Gambling
Invested over 90 shares
Macroaxis Index Idea
Macroaxis Index
Invested few shares
Baby Boomer Prospects Idea
Baby Boomer Prospects
Invested over 60 shares
Business Services Idea
Business Services
Invested over 100 shares
Banking Idea
Banking
Invested over 20 shares
FinTech Idea
FinTech
Invested over 40 shares
Investor Favorites Idea
Investor Favorites
Invested few shares
Social Domain Idea
Social Domain
Invested few shares
Driverless Cars Idea
Driverless Cars
Invested over 50 shares
Chemicals Idea
Chemicals
Invested over 30 shares
Hedge Favorites Idea
Hedge Favorites
Invested over 60 shares
ESG Investing Idea
ESG Investing
Invested few shares

Additional Tools for Lifetime Stock Analysis

When running Lifetime Brands' price analysis, check to measure Lifetime Brands' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Lifetime Brands is operating at the current time. Most of Lifetime Brands' value examination focuses on studying past and present price action to predict the probability of Lifetime Brands' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Lifetime Brands' price. Additionally, you may evaluate how the addition of Lifetime Brands to your portfolios can decrease your overall portfolio volatility.