CodeLab Capital (Norway) Market Value
| CODE Stock | 2.52 0.06 2.44% |
| Symbol | CodeLab |
CodeLab Capital '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 CodeLab Capital'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 CodeLab Capital.
| 01/04/2024 |
| 12/24/2025 |
If you would invest 0.00 in CodeLab Capital on January 4, 2024 and sell it all today you would earn a total of 0.00 from holding CodeLab Capital AS or generate 0.0% return on investment in CodeLab Capital over 720 days.
CodeLab Capital 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 CodeLab Capital'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 CodeLab Capital AS upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.85 | |||
| Information Ratio | 0.0235 | |||
| Maximum Drawdown | 36.51 | |||
| Value At Risk | (8.23) | |||
| Potential Upside | 8.75 |
CodeLab Capital Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for CodeLab Capital's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CodeLab Capital's standard deviation. In reality, there are many statistical measures that can use CodeLab Capital historical prices to predict the future CodeLab Capital's volatility.| Risk Adjusted Performance | 0.0337 | |||
| Jensen Alpha | 0.14 | |||
| Total Risk Alpha | (0.28) | |||
| Sortino Ratio | 0.0273 | |||
| Treynor Ratio | 0.2179 |
CodeLab Capital AS Backtested Returns
CodeLab Capital appears to be dangerous, given 3 months investment horizon. CodeLab Capital AS secures Sharpe Ratio (or Efficiency) of 0.0404, which signifies that the company had a 0.0404 % return per unit of standard deviation over the last 3 months. We have found twenty-eight technical indicators for CodeLab Capital AS, which you can use to evaluate the volatility of the firm. Please makes use of CodeLab Capital's mean deviation of 3.75, and Risk Adjusted Performance of 0.0337 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, CodeLab Capital holds a performance score of 3. The firm shows a Beta (market volatility) of 0.88, which signifies possible diversification benefits within a given portfolio. CodeLab Capital returns are very sensitive to returns on the market. As the market goes up or down, CodeLab Capital is expected to follow. Please check CodeLab Capital's downside deviation, information ratio, and the relationship between the semi deviation and coefficient of variation , to make a quick decision on whether CodeLab Capital's price patterns will revert.
Auto-correlation | 0.46 |
Average predictability
CodeLab Capital AS has average predictability. Overlapping area represents the amount of predictability between CodeLab Capital time series from 4th of January 2024 to 29th of December 2024 and 29th of December 2024 to 24th of December 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of CodeLab Capital AS price movement. The serial correlation of 0.46 indicates that about 46.0% of current CodeLab Capital price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.46 | |
| Spearman Rank Test | 0.37 | |
| Residual Average | 0.0 | |
| Price Variance | 0.15 |
CodeLab Capital AS lagged returns against current returns
Autocorrelation, which is CodeLab Capital 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 CodeLab Capital's stock expected returns. We can calculate the autocorrelation of CodeLab Capital returns to help us make a trade decision. For example, suppose you find that CodeLab Capital 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 |
CodeLab Capital 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 CodeLab Capital stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if CodeLab Capital stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in CodeLab Capital stock over time.
Current vs Lagged Prices |
| Timeline |
CodeLab Capital Lagged Returns
When evaluating CodeLab Capital's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of CodeLab Capital stock have on its future price. CodeLab Capital 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, CodeLab Capital autocorrelation shows the relationship between CodeLab Capital stock current value and its past values and can show if there is a momentum factor associated with investing in CodeLab Capital AS.
Regressed Prices |
| Timeline |
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Prophet is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio Prophet