Twin Hospitality Group Stock Statistic Functions Beta

TWNP Stock   0.77  0.03  3.75%   
Twin Hospitality statistic functions tool provides the execution environment for running the Beta function and other technical functions against Twin Hospitality. Twin Hospitality 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 statistic functions indicators. As with most other technical indicators, the Beta function function is designed to identify and follow existing trends. Twin Hospitality statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

The output start index for this execution was twenty with a total number of output elements of fourty-one. The Beta measures systematic risk based on how returns on Twin Hospitality correlated with the market. If Beta is less than 0 Twin Hospitality generally moves in the opposite direction as compared to the market. If Twin Hospitality Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Twin Hospitality is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Twin Hospitality is generally in the same direction as the market. If Beta > 1 Twin Hospitality moves generally in the same direction as, but more than the movement of the benchmark.

Twin Hospitality Technical Analysis Modules

Most technical analysis of Twin Hospitality 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 Twin from various momentum indicators to cycle indicators. When you analyze Twin 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 Twin Hospitality 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 Twin Hospitality Group. We use our internally-developed statistical techniques to arrive at the intrinsic value of Twin Hospitality Group based on widely used predictive technical indicators. In general, we focus on analyzing Twin Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Twin Hospitality's daily price indicators and compare them against related drivers, such as statistic functions 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 Twin Hospitality's intrinsic value. In addition to deriving basic predictive indicators for Twin Hospitality, we also check how macroeconomic factors affect Twin Hospitality price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
0.040.828.14
Details
Intrinsic
Valuation
LowRealHigh
0.153.0710.39
Details
Naive
Forecast
LowNextHigh
0.021.088.40
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
0.072.725.37
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 Twin Hospitality 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, Twin Hospitality's short interest history, or implied volatility extrapolated from Twin Hospitality 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.
Chemicals Makers Idea
Chemicals Makers
Invested over 70 shares
Macroaxis Index Idea
Macroaxis Index
Invested over 20 shares
Momentum Idea
Momentum
Invested few shares
Hedge Favorites Idea
Hedge Favorites
Invested over 30 shares
Investor Favorites Idea
Investor Favorites
Invested over 200 shares
Macroaxis Picks Idea
Macroaxis Picks
Invested few shares
Warren Buffett Holdings Idea
Warren Buffett Holdings
Invested few shares
Blockchain Idea
Blockchain
Invested few shares
Power Assets Idea
Power Assets
Invested over 200 shares
ESG Investing Idea
ESG Investing
Invested few shares

Additional Tools for Twin Stock Analysis

When running Twin Hospitality's price analysis, check to measure Twin Hospitality's 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 Twin Hospitality is operating at the current time. Most of Twin Hospitality's value examination focuses on studying past and present price action to predict the probability of Twin Hospitality's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Twin Hospitality's price. Additionally, you may evaluate how the addition of Twin Hospitality to your portfolios can decrease your overall portfolio volatility.