The Singing Machine Probability of Future Stock Price Finishing Under 0.9
MICSDelisted Stock | USD 0.35 0.05 16.67% |
Singing |
Singing Machine Target Price Odds to finish below 0.9
The tendency of Singing 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 Price | Horizon | Target Price | Odds to stay under $ 0.90 after 90 days |
0.35 | 90 days | 0.90 | close to 99 |
Based on a normal probability distribution, the odds of Singing Machine to stay under $ 0.90 after 90 days from now is close to 99 (This The Singing Machine probability density function shows the probability of Singing Stock to fall within a particular range of prices over 90 days) . Probability of Singing Machine price to stay between its current price of $ 0.35 and $ 0.90 at the end of the 90-day period is about 89.39 .
Given the investment horizon of 90 days The Singing Machine has a beta of -1.55. This indicates as returns on its benchmark rise, returns on holding The Singing Machine are expected to decrease by similarly larger amounts. On the other hand, during market turmoils, Singing Machine is expected to outperform its benchmark. Additionally The Singing Machine has an alpha of 0.073, implying that it can generate a 0.073 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Singing Machine Price Density |
Price |
Predictive Modules for Singing Machine
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Singing Machine. 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 Singing Machine's 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.
Singing Machine Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Singing Machine is not an exception. The market had few large corrections towards the Singing Machine's 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 The Singing Machine, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Singing Machine within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.07 | |
β | Beta against Dow Jones | -1.55 | |
σ | Overall volatility | 0.12 | |
Ir | Information ratio | -0.02 |
Singing Machine 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 Singing Machine for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Singing Machine can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.Singing Machine is now traded under the symbol RIME. Please update your portfolios or report it if you believe this is an error. Report It! | |
Singing Machine is not yet fully synchronised with the market data | |
Singing Machine generated a negative expected return over the last 90 days | |
Singing Machine has high historical volatility and very poor performance | |
Singing Machine has some characteristics of a very speculative penny stock | |
Singing Machine has a very high chance of going through financial distress in the upcoming years | |
The company reported the previous year's revenue of 38.93 M. Net Loss for the year was (8.53 M) with profit before overhead, payroll, taxes, and interest of 9.21 M. | |
About 47.0% of the company outstanding shares are owned by corporate insiders |
Singing Machine Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Singing Stock often depends not only on the future outlook of the current and potential Singing Machine's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Singing Machine's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding | 4.9 M | |
Cash And Short Term Investments | 6.7 M |
Singing Machine Technical Analysis
Singing Machine's future price can be derived by breaking down and analyzing its technical indicators over time. Singing Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of The Singing Machine. In general, you should focus on analyzing Singing Stock price patterns and their correlations with different microeconomic environments and drivers.
Singing Machine Predictive Forecast Models
Singing Machine's time-series forecasting models is one of many Singing Machine's 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 Singing Machine's 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 Singing Machine
Checking the ongoing alerts about Singing Machine for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Singing Machine help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Singing Machine is now traded under the symbol RIME. Please update your portfolios or report it if you believe this is an error. Report It! | |
Singing Machine is not yet fully synchronised with the market data | |
Singing Machine generated a negative expected return over the last 90 days | |
Singing Machine has high historical volatility and very poor performance | |
Singing Machine has some characteristics of a very speculative penny stock | |
Singing Machine has a very high chance of going through financial distress in the upcoming years | |
The company reported the previous year's revenue of 38.93 M. Net Loss for the year was (8.53 M) with profit before overhead, payroll, taxes, and interest of 9.21 M. | |
About 47.0% of the company outstanding shares are owned by corporate insiders |
Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in main economic indicators. You can also try the Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.
Other Consideration for investing in Singing Stock
If you are still planning to invest in Singing Machine check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Singing Machine's history and understand the potential risks before investing.
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
Portfolio Center All portfolio management and optimization tools to improve performance of your portfolios | |
Commodity Directory Find actively traded commodities issued by global exchanges | |
Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities | |
Equity Search Search for actively traded equities including funds and ETFs from over 30 global markets | |
Financial Widgets Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets | |
CEOs Directory Screen CEOs from public companies around the world |