Guess Inc Stock Overlap Studies Bollinger Bands
| GES Stock | USD 16.63 0.43 2.65% |
| Symbol |
The output start index for this execution was nineteen with a total number of output elements of fourty-two. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Guess middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for Guess Inc. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
Guess Technical Analysis Modules
Most technical analysis of Guess 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 Guess from various momentum indicators to cycle indicators. When you analyze Guess 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 | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Guess 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 Guess Inc. We use our internally-developed statistical techniques to arrive at the intrinsic value of Guess Inc based on widely used predictive technical indicators. In general, we focus on analyzing Guess Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Guess's daily price indicators and compare them against related drivers, such as overlap studies 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 Guess's intrinsic value. In addition to deriving basic predictive indicators for Guess, we also check how macroeconomic factors affect Guess price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2010 | 2014 | 2020 | 2024 (projected) | Dividend Yield | 0.0289 | 0.0281 | 0.0515 | 0.0539 | Price To Sales Ratio | 0.92 | 0.56 | 0.44 | 1.23 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Guess' 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.
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 Guess 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, Guess' short interest history, or implied volatility extrapolated from Guess 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. | Automobiles and Trucks Invested over 200 shares | |
 | Driverless Cars Invested few shares | |
 | Artificial Intelligence Invested few shares | |
 | Business Services Invested few shares | |
 | Baby Boomer Prospects Invested over 40 shares | |
 | Hedge Favorites Invested over 50 shares | |
 | Social Domain Invested few shares | |
 | Macroaxis Picks Invested few shares | |
 | Robots And Drones Sold few shares | |
 | Manufacturing Invested over 30 shares | |
 | FinTech Invested over 40 shares | |
 | Warren Buffett Holdings Invested few shares |
Additional Tools for Guess Stock Analysis
When running Guess' price analysis, check to measure Guess' 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 Guess is operating at the current time. Most of Guess' value examination focuses on studying past and present price action to predict the probability of Guess' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Guess' price. Additionally, you may evaluate how the addition of Guess to your portfolios can decrease your overall portfolio volatility.