Scientific Industries Stock Technical Analysis
| SCND Stock | USD 0.60 0.01 1.69% |
As of the 12th of February 2026, Scientific Industries has the Coefficient Of Variation of 6394.9, semi deviation of 5.05, and Risk Adjusted Performance of 0.0211. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Scientific Industries, as well as the relationship between them. In other words, you can use this information to find out if the company will indeed mirror its model of past prices and volume data, or the prices will eventually revert. We were able to interpolate nineteen technical drivers for Scientific Industries, which can be compared to its competition. Please validate Scientific Industries jensen alpha, as well as the relationship between the potential upside and skewness to decide if Scientific Industries is priced more or less accurately, providing market reflects its prevalent price of 0.6 per share. As Scientific Industries is a penny stock we also advise to double-check its total risk alpha numbers.
Scientific Industries Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Scientific, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ScientificScientific |
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.
| 11/14/2025 |
| 02/12/2026 |
If you would invest 0.00 in Scientific Industries on November 14, 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 | 8.18 | |||
| Information Ratio | (0.0007) | |||
| 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 | 0.0211 | |||
| Jensen Alpha | 0.1957 | |||
| Total Risk Alpha | (0.66) | |||
| Sortino Ratio | (0.0006) | |||
| Treynor Ratio | (0.08) |
Scientific Industries February 12, 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 | 0.0211 | |||
| Market Risk Adjusted Performance | (0.07) | |||
| Mean Deviation | 3.83 | |||
| Semi Deviation | 5.05 | |||
| Downside Deviation | 8.18 | |||
| Coefficient Of Variation | 6394.9 | |||
| Standard Deviation | 6.32 | |||
| Variance | 39.94 | |||
| Information Ratio | (0.0007) | |||
| Jensen Alpha | 0.1957 | |||
| Total Risk Alpha | (0.66) | |||
| Sortino Ratio | (0.0006) | |||
| Treynor Ratio | (0.08) | |||
| Maximum Drawdown | 29.86 | |||
| Value At Risk | (12.50) | |||
| Potential Upside | 12.5 | |||
| Downside Variance | 66.88 | |||
| Semi Variance | 25.51 | |||
| Expected Short fall | (7.13) | |||
| Skewness | 0.166 | |||
| Kurtosis | 1.34 |
Scientific Industries Backtested Returns
Scientific Industries owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0123, which indicates the firm had a -0.0123 % return per unit of risk over the last 3 months. Scientific Industries exposes twenty-seven different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Scientific Industries' Semi Deviation of 5.05, risk adjusted performance of 0.0211, and Coefficient Of Variation of 6394.9 to confirm the risk estimate we provide. The entity has a beta of -1.14, which indicates a somewhat significant risk relative to the market. As the market becomes more bullish, returns on owning Scientific Industries are expected to decrease slowly. On the other hand, during market turmoil, Scientific Industries is expected to outperform it slightly. At this point, Scientific Industries has a negative expected return of -0.0785%. Please make sure to validate Scientific Industries' sortino ratio and the relationship between the potential upside and day median price , to decide if Scientific Industries performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.2 |
Insignificant reverse predictability
Scientific Industries has insignificant reverse predictability. Overlapping area represents the amount of predictability between Scientific Industries time series from 14th of November 2025 to 29th of December 2025 and 29th of December 2025 to 12th 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 -0.2 indicates that over 20.0% of current Scientific Industries price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.2 | |
| Spearman Rank Test | -0.26 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Scientific Industries technical otc stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, otc market cycles, or different charting patterns.
Scientific Industries Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for Scientific Industries across different markets.
About Scientific Industries Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Scientific Industries on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Scientific Industries based on its technical analysis. In general, a bottom-up approach, as applied to this otc stock, focuses on Scientific Industries price pattern first instead of the macroeconomic environment surrounding Scientific Industries. By analyzing Scientific Industries's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Scientific Industries's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Scientific Industries specific price patterns or momentum indicators. Please read more on our technical analysis page.
Scientific Industries February 12, 2026 Technical Indicators
Most technical analysis of Scientific 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 Scientific from various momentum indicators to cycle indicators. When you analyze Scientific charts, please remember that the event formation may indicate an entry point for a short seller, and look at different 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 |
| Risk Adjusted Performance | 0.0211 | |||
| Market Risk Adjusted Performance | (0.07) | |||
| Mean Deviation | 3.83 | |||
| Semi Deviation | 5.05 | |||
| Downside Deviation | 8.18 | |||
| Coefficient Of Variation | 6394.9 | |||
| Standard Deviation | 6.32 | |||
| Variance | 39.94 | |||
| Information Ratio | (0.0007) | |||
| Jensen Alpha | 0.1957 | |||
| Total Risk Alpha | (0.66) | |||
| Sortino Ratio | (0.0006) | |||
| Treynor Ratio | (0.08) | |||
| Maximum Drawdown | 29.86 | |||
| Value At Risk | (12.50) | |||
| Potential Upside | 12.5 | |||
| Downside Variance | 66.88 | |||
| Semi Variance | 25.51 | |||
| Expected Short fall | (7.13) | |||
| Skewness | 0.166 | |||
| Kurtosis | 1.34 |
Scientific Industries February 12, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Scientific stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | Huge | ||
| Rate Of Daily Change | 1.02 | ||
| Day Median Price | 0.60 | ||
| Day Typical Price | 0.60 | ||
| Price Action Indicator | 0.01 |
Complementary Tools for Scientific OTC Stock analysis
When running Scientific Industries' price analysis, check to measure Scientific Industries' 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 Scientific Industries is operating at the current time. Most of Scientific Industries' value examination focuses on studying past and present price action to predict the probability of Scientific Industries' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Scientific Industries' price. Additionally, you may evaluate how the addition of Scientific Industries to your portfolios can decrease your overall portfolio volatility.
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