Sci Engineered Materials Stock Technical Analysis
| SCIA Stock | USD 5.82 0.02 0.34% |
As of the 30th of January, SCI Engineered has the Downside Deviation of 2.93, market risk adjusted performance of 1.21, and Risk Adjusted Performance of 0.1282. Concerning fundamental indicators, the technical analysis model makes it possible for you to check helpful technical drivers of SCI Engineered Materials, as well as the relationship between them. In other words, you can use this information to find out if the entity will indeed mirror its model of past prices and volume data, or the prices will eventually revert. We were able to collect and analyze data for nineteen technical drivers for SCI Engineered Materials, which can be compared to its competition.
SCI Engineered Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SCI, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SCISCI |
SCI Engineered '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 SCI Engineered's 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 SCI Engineered.
| 11/01/2025 |
| 01/30/2026 |
If you would invest 0.00 in SCI Engineered on November 1, 2025 and sell it all today you would earn a total of 0.00 from holding SCI Engineered Materials or generate 0.0% return on investment in SCI Engineered over 90 days. SCI Engineered is related to or competes with Leaf Mobile, Tekcapital Plc, Winland Holdings, NowVertical, and Surge Components. SCI Engineered Materials, Inc. manufactures and supplies materials for physical vapor deposition thin film applications More
SCI Engineered 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 SCI Engineered's 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 SCI Engineered Materials upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.93 | |||
| Information Ratio | 0.1459 | |||
| Maximum Drawdown | 20.05 | |||
| Value At Risk | (4.79) | |||
| Potential Upside | 6.11 |
SCI Engineered Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SCI Engineered's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SCI Engineered's standard deviation. In reality, there are many statistical measures that can use SCI Engineered historical prices to predict the future SCI Engineered's volatility.| Risk Adjusted Performance | 0.1282 | |||
| Jensen Alpha | 0.4723 | |||
| Total Risk Alpha | 0.2792 | |||
| Sortino Ratio | 0.1508 | |||
| Treynor Ratio | 1.2 |
SCI Engineered January 30, 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 | 0.1282 | |||
| Market Risk Adjusted Performance | 1.21 | |||
| Mean Deviation | 2.0 | |||
| Semi Deviation | 2.03 | |||
| Downside Deviation | 2.93 | |||
| Coefficient Of Variation | 601.85 | |||
| Standard Deviation | 3.03 | |||
| Variance | 9.17 | |||
| Information Ratio | 0.1459 | |||
| Jensen Alpha | 0.4723 | |||
| Total Risk Alpha | 0.2792 | |||
| Sortino Ratio | 0.1508 | |||
| Treynor Ratio | 1.2 | |||
| Maximum Drawdown | 20.05 | |||
| Value At Risk | (4.79) | |||
| Potential Upside | 6.11 | |||
| Downside Variance | 8.59 | |||
| Semi Variance | 4.12 | |||
| Expected Short fall | (2.85) | |||
| Skewness | 0.9867 | |||
| Kurtosis | 4.43 |
SCI Engineered Materials Backtested Returns
SCI Engineered appears to be slightly risky, given 3 months investment horizon. SCI Engineered Materials owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.12, which indicates the company had a 0.12 % return per unit of volatility over the last 3 months. We have found twenty-eight technical indicators for SCI Engineered Materials, which you can use to evaluate the volatility of the entity. Please review SCI Engineered's Market Risk Adjusted Performance of 1.21, downside deviation of 2.93, and Risk Adjusted Performance of 0.1282 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, SCI Engineered holds a performance score of 9. The firm has a beta of 0.41, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, SCI Engineered's returns are expected to increase less than the market. However, during the bear market, the loss of holding SCI Engineered is expected to be smaller as well. Please check SCI Engineered's downside variance, rate of daily change, and the relationship between the maximum drawdown and skewness , to make a quick decision on whether SCI Engineered's existing price patterns will revert.
Auto-correlation | 0.55 |
Modest predictability
SCI Engineered Materials has modest predictability. Overlapping area represents the amount of predictability between SCI Engineered time series from 1st of November 2025 to 16th of December 2025 and 16th of December 2025 to 30th of January 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 SCI Engineered Materials price movement. The serial correlation of 0.55 indicates that about 55.0% of current SCI Engineered price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.55 | |
| Spearman Rank Test | 0.74 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
SCI Engineered 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.
SCI Engineered Materials Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of SCI Engineered Materials volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About SCI Engineered 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 SCI Engineered Materials 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 SCI Engineered Materials based on its technical analysis. In general, a bottom-up approach, as applied to this otc stock, focuses on SCI Engineered Materials price pattern first instead of the macroeconomic environment surrounding SCI Engineered Materials. By analyzing SCI Engineered'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 SCI Engineered'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 SCI Engineered specific price patterns or momentum indicators. Please read more on our technical analysis page.
SCI Engineered January 30, 2026 Technical Indicators
Most technical analysis of SCI 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 SCI from various momentum indicators to cycle indicators. When you analyze SCI 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 | 0.1282 | |||
| Market Risk Adjusted Performance | 1.21 | |||
| Mean Deviation | 2.0 | |||
| Semi Deviation | 2.03 | |||
| Downside Deviation | 2.93 | |||
| Coefficient Of Variation | 601.85 | |||
| Standard Deviation | 3.03 | |||
| Variance | 9.17 | |||
| Information Ratio | 0.1459 | |||
| Jensen Alpha | 0.4723 | |||
| Total Risk Alpha | 0.2792 | |||
| Sortino Ratio | 0.1508 | |||
| Treynor Ratio | 1.2 | |||
| Maximum Drawdown | 20.05 | |||
| Value At Risk | (4.79) | |||
| Potential Upside | 6.11 | |||
| Downside Variance | 8.59 | |||
| Semi Variance | 4.12 | |||
| Expected Short fall | (2.85) | |||
| Skewness | 0.9867 | |||
| Kurtosis | 4.43 |
SCI Engineered January 30, 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 SCI 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 | 1.00 | ||
| Day Median Price | 5.82 | ||
| Day Typical Price | 5.82 | ||
| Price Action Indicator | 0.01 |
Complementary Tools for SCI OTC Stock analysis
When running SCI Engineered's price analysis, check to measure SCI Engineered's 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 SCI Engineered is operating at the current time. Most of SCI Engineered's value examination focuses on studying past and present price action to predict the probability of SCI Engineered's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SCI Engineered's price. Additionally, you may evaluate how the addition of SCI Engineered to your portfolios can decrease your overall portfolio volatility.
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