Scientific Industries Stock Probability of Future OTC Stock Price Finishing Under 0.88
| SCND Stock | USD 1.00 0.02 1.96% |
Scientific |
Scientific Industries Target Price Odds to finish below 0.88
The tendency of Scientific OTC 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 drop to $ 0.88 or more in 90 days |
| 1.00 | 90 days | 0.88 | about 7.39 |
Based on a normal probability distribution, the odds of Scientific Industries to drop to $ 0.88 or more in 90 days from now is about 7.39 (This Scientific Industries probability density function shows the probability of Scientific OTC Stock to fall within a particular range of prices over 90 days) . Probability of Scientific Industries price to stay between $ 0.88 and its current price of $1.0 at the end of the 90-day period is about 14.4 .
Given the investment horizon of 90 days the otc stock has the beta coefficient of 1.82 . This usually implies as the benchmark fluctuates upward, the company is expected to outperform it on average. However, if the benchmark returns are projected to be negative, Scientific Industries will likely underperform. Additionally Scientific Industries has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial. Scientific Industries Price Density |
| Price |
Predictive Modules for Scientific Industries
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Scientific Industries. Regardless of method or technology, however, to accurately forecast the otc stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the otc 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.Scientific Industries Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Scientific Industries is not an exception. The market had few large corrections towards the Scientific Industries' 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 Scientific Industries, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Scientific Industries within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.53 | |
β | Beta against Dow Jones | 1.82 | |
σ | Overall volatility | 0.18 | |
Ir | Information ratio | -0.06 |
Scientific Industries 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 Scientific Industries for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Scientific Industries can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Scientific Industries generated a negative expected return over the last 90 days | |
| Scientific Industries has high historical volatility and very poor performance | |
| Scientific Industries has some characteristics of a very speculative penny stock | |
| The company reported the previous year's revenue of 11.4 M. Net Loss for the year was (5.64 M) with profit before overhead, payroll, taxes, and interest of 5.74 M. | |
| Scientific Industries currently holds about 7.74 M in cash with (5.51 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 1.11, which can makes it an attractive takeover target, given it will continue generating positive cash flow. | |
| Roughly 46.0% of the company outstanding shares are owned by corporate insiders |
Scientific Industries 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 Scientific OTC Stock often depends not only on the future outlook of the current and potential Scientific Industries' 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. Scientific Industries' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 7 M |
Scientific Industries Technical Analysis
Scientific Industries' future price can be derived by breaking down and analyzing its technical indicators over time. Scientific OTC Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Scientific Industries. In general, you should focus on analyzing Scientific OTC Stock price patterns and their correlations with different microeconomic environments and drivers.
Scientific Industries Predictive Forecast Models
Scientific Industries' time-series forecasting models is one of many Scientific Industries' otc 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 Scientific Industries' 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 otc stock market movement and maximize returns from investment trading.
Things to note about Scientific Industries
Checking the ongoing alerts about Scientific Industries for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Scientific Industries help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Scientific Industries generated a negative expected return over the last 90 days | |
| Scientific Industries has high historical volatility and very poor performance | |
| Scientific Industries has some characteristics of a very speculative penny stock | |
| The company reported the previous year's revenue of 11.4 M. Net Loss for the year was (5.64 M) with profit before overhead, payroll, taxes, and interest of 5.74 M. | |
| Scientific Industries currently holds about 7.74 M in cash with (5.51 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 1.11, which can makes it an attractive takeover target, given it will continue generating positive cash flow. | |
| Roughly 46.0% of the company outstanding shares are owned by corporate insiders |
Other Information on Investing in Scientific OTC Stock
Scientific Industries financial ratios help investors to determine whether Scientific OTC Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Scientific with respect to the benefits of owning Scientific Industries security.