Scientific Industries Stock Market Value
| SCND Stock | USD 0.59 0.01 1.67% |
| Symbol | Scientific |
Scientific Industries 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Scientific Industries' otc stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Scientific Industries.
| 11/10/2025 |
| 02/08/2026 |
If you would invest 0.00 in Scientific Industries on November 10, 2025 and sell it all today you would earn a total of 0.00 from holding Scientific Industries or generate 0.0% return on investment in Scientific Industries over 90 days. Scientific Industries is related to or competes with Global Warming, Vitality Prime, ZTEST Electronics, Elcom International, and Lifeloc Technologies. Scientific Industries, Inc. engages in the design, manufacture, and marketing of benchtop laboratory equipment and biopr... More
Scientific Industries Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Scientific Industries' otc stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Scientific Industries upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 7.97 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 29.86 | |||
| Value At Risk | (12.50) | |||
| Potential Upside | 12.5 |
Scientific Industries Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Scientific Industries' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Scientific Industries' standard deviation. In reality, there are many statistical measures that can use Scientific Industries historical prices to predict the future Scientific Industries' volatility.| Risk Adjusted Performance | 0.0151 | |||
| Jensen Alpha | 0.0703 | |||
| Total Risk Alpha | (0.59) | |||
| Sortino Ratio | (0) | |||
| Treynor Ratio | (0.10) |
Scientific Industries February 8, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0151 | |||
| Market Risk Adjusted Performance | (0.09) | |||
| Mean Deviation | 3.81 | |||
| Semi Deviation | 5.01 | |||
| Downside Deviation | 7.97 | |||
| Coefficient Of Variation | 12680.73 | |||
| Standard Deviation | 6.32 | |||
| Variance | 39.94 | |||
| Information Ratio | (0.01) | |||
| Jensen Alpha | 0.0703 | |||
| Total Risk Alpha | (0.59) | |||
| Sortino Ratio | (0) | |||
| Treynor Ratio | (0.10) | |||
| Maximum Drawdown | 29.86 | |||
| Value At Risk | (12.50) | |||
| Potential Upside | 12.5 | |||
| Downside Variance | 63.48 | |||
| Semi Variance | 25.08 | |||
| Expected Short fall | (7.45) | |||
| Skewness | 0.1895 | |||
| Kurtosis | 1.34 |
Scientific Industries Backtested Returns
At this point, Scientific Industries is out of control. Scientific Industries owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0119, which indicates the firm had a 0.0119 % return per unit of risk over the last 3 months. We have found twenty-six technical indicators for Scientific Industries, which you can use to evaluate the volatility of the company. Please validate Scientific Industries' Coefficient Of Variation of 12680.73, risk adjusted performance of 0.0151, and Semi Deviation of 5.01 to confirm if the risk estimate we provide is consistent with the expected return of 0.0775%. The entity has a beta of -0.38, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Scientific Industries are expected to decrease at a much lower rate. During the bear market, Scientific Industries is likely to outperform the market. Scientific Industries right now has a risk of 6.51%. Please validate Scientific Industries sortino ratio and the relationship between the potential upside and day typical price , to decide if Scientific Industries will be following its existing price patterns.
Auto-correlation | -0.27 |
Weak reverse predictability
Scientific Industries has weak reverse predictability. Overlapping area represents the amount of predictability between Scientific Industries time series from 10th of November 2025 to 25th of December 2025 and 25th of December 2025 to 8th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Scientific Industries price movement. The serial correlation of -0.27 indicates that nearly 27.0% of current Scientific Industries price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.27 | |
| Spearman Rank Test | 0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.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.