Angstrom Technologies Stock Statistic Functions Beta
| AGTT Stock | USD 0.16 0.01 6.67% |
| Symbol |
The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was one with a total number of output elements of sixty. The Beta measures systematic risk based on how returns on Angstrom Technologies correlated with the market. If Beta is less than 0 Angstrom Technologies generally moves in the opposite direction as compared to the market. If Angstrom Technologies Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Angstrom Technologies is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Angstrom Technologies is generally in the same direction as the market. If Beta > 1 Angstrom Technologies moves generally in the same direction as, but more than the movement of the benchmark.
Angstrom Technologies Technical Analysis Modules
Most technical analysis of Angstrom Technologies 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 Angstrom from various momentum indicators to cycle indicators. When you analyze Angstrom 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 Angstrom Technologies 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 Angstrom Technologies. We use our internally-developed statistical techniques to arrive at the intrinsic value of Angstrom Technologies based on widely used predictive technical indicators. In general, we focus on analyzing Angstrom Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Angstrom Technologies'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 Angstrom Technologies's intrinsic value. In addition to deriving basic predictive indicators for Angstrom Technologies, we also check how macroeconomic factors affect Angstrom Technologies price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2021 | 2022 | 2023 (projected) | Days Sales Outstanding | 79.95 | 64.98 | 58.48 | PTB Ratio | 0.33 | 0.23 | 0.26 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Angstrom Technologies' 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 Angstrom Technologies 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, Angstrom Technologies' short interest history, or implied volatility extrapolated from Angstrom Technologies 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. | Entertainment Invested over 90 shares | |
 | Macroaxis Index Invested few shares | |
 | Momentum Invested over 60 shares | |
 | Business Services Invested over 100 shares | |
 | Banking Invested over 20 shares | |
 | FinTech Invested over 40 shares | |
 | SRI Sustainable Growth Invested few shares | |
 | Social Domain Invested few shares | |
 | Dividend Beast Invested over 50 shares | |
 | Macroaxis Picks Invested over 30 shares | |
 | Chemicals Invested over 30 shares | |
 | Warren Buffett Holdings Invested over 60 shares | |
 | ESG Investing Invested few shares |
Additional Tools for Angstrom Stock Analysis
When running Angstrom Technologies' price analysis, check to measure Angstrom Technologies' 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 Angstrom Technologies is operating at the current time. Most of Angstrom Technologies' value examination focuses on studying past and present price action to predict the probability of Angstrom Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Angstrom Technologies' price. Additionally, you may evaluate how the addition of Angstrom Technologies to your portfolios can decrease your overall portfolio volatility.