Scibase AB (Sweden) Technical Analysis
| SCIB Stock | SEK 0.25 0.03 13.64% |
As of the 31st of January, Scibase AB has the Risk Adjusted Performance of (0.04), coefficient of variation of (1,616), and Variance of 47.53. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Scibase AB, as well as the relationship between them.
Scibase AB Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Scibase, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ScibaseScibase |
Scibase AB '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 Scibase AB's 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 Scibase AB.
| 11/02/2025 |
| 01/31/2026 |
If you would invest 0.00 in Scibase AB on November 2, 2025 and sell it all today you would earn a total of 0.00 from holding Scibase AB or generate 0.0% return on investment in Scibase AB over 90 days. Scibase AB is related to or competes with Real Heart, Iconovo, Arcoma AB, Biovica International, Immunovia Publ, Luxbright, and Nanologica. SciBase Holding AB , a medical technology company, develops and sells skin cancer diagnostic instruments in Europe and i... More
Scibase AB 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 Scibase AB's 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 Scibase AB upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 51.44 | |||
| Value At Risk | (11.11) | |||
| Potential Upside | 8.0 |
Scibase AB Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Scibase AB's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Scibase AB's standard deviation. In reality, there are many statistical measures that can use Scibase AB historical prices to predict the future Scibase AB's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.41) | |||
| Total Risk Alpha | (0.92) | |||
| Treynor Ratio | 0.9393 |
Scibase AB January 31, 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 | (0.04) | |||
| Market Risk Adjusted Performance | 0.9493 | |||
| Mean Deviation | 4.29 | |||
| Coefficient Of Variation | (1,616) | |||
| Standard Deviation | 6.89 | |||
| Variance | 47.53 | |||
| Information Ratio | (0.07) | |||
| Jensen Alpha | (0.41) | |||
| Total Risk Alpha | (0.92) | |||
| Treynor Ratio | 0.9393 | |||
| Maximum Drawdown | 51.44 | |||
| Value At Risk | (11.11) | |||
| Potential Upside | 8.0 | |||
| Skewness | 0.8632 | |||
| Kurtosis | 7.9 |
Scibase AB Backtested Returns
Scibase AB owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0201, which indicates the firm had a -0.0201 % return per unit of risk over the last 3 months. Scibase AB exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Scibase AB's Risk Adjusted Performance of (0.04), variance of 47.53, and Coefficient Of Variation of (1,616) to confirm the risk estimate we provide. The entity has a beta of -0.46, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Scibase AB are expected to decrease at a much lower rate. During the bear market, Scibase AB is likely to outperform the market. At this point, Scibase AB has a negative expected return of -0.15%. Please make sure to validate Scibase AB's total risk alpha, maximum drawdown, potential upside, as well as the relationship between the treynor ratio and value at risk , to decide if Scibase AB performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.28 |
Weak reverse predictability
Scibase AB has weak reverse predictability. Overlapping area represents the amount of predictability between Scibase AB time series from 2nd of November 2025 to 17th of December 2025 and 17th of December 2025 to 31st 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 Scibase AB price movement. The serial correlation of -0.28 indicates that nearly 28.0% of current Scibase AB price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.28 | |
| Spearman Rank Test | -0.5 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Scibase AB technical 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, stock market cycles, or different charting patterns.
Scibase AB 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 Scibase AB volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Scibase AB 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 Scibase AB 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 Scibase AB based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Scibase AB price pattern first instead of the macroeconomic environment surrounding Scibase AB. By analyzing Scibase AB'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 Scibase AB'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 Scibase AB specific price patterns or momentum indicators. Please read more on our technical analysis page.
Scibase AB January 31, 2026 Technical Indicators
Most technical analysis of Scibase 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 Scibase from various momentum indicators to cycle indicators. When you analyze Scibase 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 | (0.04) | |||
| Market Risk Adjusted Performance | 0.9493 | |||
| Mean Deviation | 4.29 | |||
| Coefficient Of Variation | (1,616) | |||
| Standard Deviation | 6.89 | |||
| Variance | 47.53 | |||
| Information Ratio | (0.07) | |||
| Jensen Alpha | (0.41) | |||
| Total Risk Alpha | (0.92) | |||
| Treynor Ratio | 0.9393 | |||
| Maximum Drawdown | 51.44 | |||
| Value At Risk | (11.11) | |||
| Potential Upside | 8.0 | |||
| Skewness | 0.8632 | |||
| Kurtosis | 7.9 |
Scibase AB January 31, 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 Scibase 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 | 78,551 | ||
| Daily Balance Of Power | 1.00 | ||
| Rate Of Daily Change | 1.14 | ||
| Day Median Price | 0.24 | ||
| Day Typical Price | 0.24 | ||
| Price Action Indicator | 0.03 |
Additional Tools for Scibase Stock Analysis
When running Scibase AB's price analysis, check to measure Scibase AB'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 Scibase AB is operating at the current time. Most of Scibase AB's value examination focuses on studying past and present price action to predict the probability of Scibase AB's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Scibase AB's price. Additionally, you may evaluate how the addition of Scibase AB to your portfolios can decrease your overall portfolio volatility.