Scape Technologies (Denmark) Market Value
| SCAPE Stock | DKK 0.69 0.04 5.48% |
| Symbol | Scape |
Scape Technologies '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 Scape Technologies' 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 Scape Technologies.
| 10/21/2023 |
| 04/18/2024 |
If you would invest 0.00 in Scape Technologies on October 21, 2023 and sell it all today you would earn a total of 0.00 from holding Scape Technologies AS or generate 0.0% return on investment in Scape Technologies over 180 days. Scape Technologies is related to or competes with CBrain AS, BioPorto, and GomSpace Group. Scape Technologies AS, a robotics company, develops and sells bin-picking systems based on 3D computer vision More
Scape Technologies 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 Scape Technologies' 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 Scape Technologies AS upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 32.46 | |||
| Value At Risk | (8.11) | |||
| Potential Upside | 9.33 |
Scape Technologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Scape Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Scape Technologies' standard deviation. In reality, there are many statistical measures that can use Scape Technologies historical prices to predict the future Scape Technologies' volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.11) | |||
| Total Risk Alpha | (0.60) | |||
| Treynor Ratio | 0.1123 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Scape Technologies' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Scape Technologies Backtested Returns
Scape Technologies owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0664, which indicates the firm had a -0.0664% return per unit of risk over the last 3 months. Scape Technologies AS exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Scape Technologies' Coefficient Of Variation of (3,255), variance of 33.11, and Risk Adjusted Performance of (0.01) to confirm the risk estimate we provide. The entity has a beta of -1.66, which indicates a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Scape Technologies are expected to decrease by larger amounts. On the other hand, during market turmoil, Scape Technologies is expected to outperform it. Scape Technologies has an expected return of -0.33%. Please make sure to validate Scape Technologies total risk alpha and the relationship between the potential upside and market facilitation index , to decide if Scape Technologies performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.81 |
Very good predictability
Scape Technologies AS has very good predictability. Overlapping area represents the amount of predictability between Scape Technologies time series from 21st of October 2023 to 19th of January 2024 and 19th of January 2024 to 18th of April 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Scape Technologies price movement. The serial correlation of 0.81 indicates that around 81.0% of current Scape Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.81 | |
| Spearman Rank Test | 0.74 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Scape Technologies lagged returns against current returns
Autocorrelation, which is Scape Technologies stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Scape Technologies' stock expected returns. We can calculate the autocorrelation of Scape Technologies returns to help us make a trade decision. For example, suppose you find that Scape Technologies has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Scape Technologies regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Scape Technologies stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Scape Technologies stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Scape Technologies stock over time.
Current vs Lagged Prices |
| Timeline |
Scape Technologies Lagged Returns
When evaluating Scape Technologies' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Scape Technologies stock have on its future price. Scape Technologies autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Scape Technologies autocorrelation shows the relationship between Scape Technologies stock current value and its past values and can show if there is a momentum factor associated with investing in Scape Technologies AS.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Check out Scape Technologies Correlation, Scape Technologies Volatility and Scape Technologies Alpha and Beta module to complement your research on Scape Technologies. Note that the Scape Technologies information on this page should be used as a complementary analysis to other Scape Technologies' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.
Complementary Tools for Scape Stock analysis
When running Scape Technologies' price analysis, check to measure Scape Technologies' 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 Scape Technologies is operating at the current time. Most of Scape Technologies' value examination focuses on studying past and present price action to predict the probability of Scape Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Scape Technologies' price. Additionally, you may evaluate how the addition of Scape Technologies to your portfolios can decrease your overall portfolio volatility.
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Scape Technologies 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.