Angstrom Technologies Stock Probability of Future Stock Price Finishing Under 0.16

AGTT Stock  USD 0.16  0.01  6.67%   
Angstrom Technologies' future price is the expected price of Angstrom Technologies instrument. It is based on its current growth rate as well as the projected cash flow expected by the investors. This tool provides a mechanism to make assumptions about the upside potential and downside risk of Angstrom Technologies performance during a given time horizon utilizing its historical volatility. Check out Angstrom Technologies Backtesting, Angstrom Technologies Valuation, Angstrom Technologies Correlation, Angstrom Technologies Hype Analysis, Angstrom Technologies Volatility, Angstrom Technologies History as well as Angstrom Technologies Performance.
For more information on how to buy Angstrom Stock please use our How to Invest in Angstrom Technologies guide.
  
Price To Free Cash Flows Ratio is likely to gain to 14.71 in 2024, whereas Price To Sales Ratio is likely to drop 0.30 in 2024. Please specify Angstrom Technologies' target price for which you would like Angstrom Technologies odds to be computed.

Angstrom Technologies Target Price Odds to finish below 0.16

The tendency of Angstrom Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
Current PriceHorizonTarget PriceOdds to move below current price in 90 days
 0.16 90 days 0.16 
about 26.73
Based on a normal probability distribution, the odds of Angstrom Technologies to move below current price in 90 days from now is about 26.73 (This Angstrom Technologies probability density function shows the probability of Angstrom Stock to fall within a particular range of prices over 90 days) .
Given the investment horizon of 90 days the stock has the beta coefficient of 1.12 . This suggests Angstrom Technologies market returns are related to returns on the market. As the market goes up or down, Angstrom Technologies is expected to follow. Additionally Angstrom Technologies has an alpha of 0.4579, implying that it can generate a 0.46 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   Angstrom Technologies Price Density   
       Price  

Predictive Modules for Angstrom Technologies

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Angstrom Technologies. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
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.
Hype
Prediction
LowEstimatedHigh
0.010.168.59
Details
Intrinsic
Valuation
LowRealHigh
0.010.148.57
Details

Angstrom Technologies Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Angstrom Technologies is not an exception. The market had few large corrections towards the Angstrom Technologies' value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Angstrom Technologies, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Angstrom Technologies within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0.46
β
Beta against Dow Jones1.12
σ
Overall volatility
0.02
Ir
Information ratio 0.06

Angstrom Technologies Alerts and Suggestions

In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Angstrom Technologies for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Angstrom Technologies can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Angstrom Technologies is way too risky over 90 days horizon
Angstrom Technologies has some characteristics of a very speculative penny stock
Angstrom Technologies appears to be risky and price may revert if volatility continues

Angstrom Technologies Technical Analysis

Angstrom Technologies' future price can be derived by breaking down and analyzing its technical indicators over time. Angstrom Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Angstrom Technologies. In general, you should focus on analyzing Angstrom Stock price patterns and their correlations with different microeconomic environments and drivers.

Angstrom Technologies Predictive Forecast Models

Angstrom Technologies' time-series forecasting models is one of many Angstrom Technologies' stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Angstrom Technologies' historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the stock market movement and maximize returns from investment trading.

Things to note about Angstrom Technologies

Checking the ongoing alerts about Angstrom Technologies for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Angstrom Technologies help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Angstrom Technologies is way too risky over 90 days horizon
Angstrom Technologies has some characteristics of a very speculative penny stock
Angstrom Technologies appears to be risky and price may revert if volatility continues

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.