Castellum (Sweden) Technical Analysis
| CAST Stock | SEK 116.35 0.05 0.04% |
As of the 26th of February, Castellum shows the Downside Deviation of 1.23, mean deviation of 1.11, and Risk Adjusted Performance of 0.0813. Castellum AB technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices.
Castellum Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Castellum, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CastellumCastellum |
Castellum '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 Castellum'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 Castellum.
| 11/28/2025 |
| 02/26/2026 |
If you would invest 0.00 in Castellum on November 28, 2025 and sell it all today you would earn a total of 0.00 from holding Castellum AB or generate 0.0% return on investment in Castellum over 90 days. Castellum is related to or competes with Atrium Ljungberg, Catena AB, Wallenstam, Wihlborgs Fastigheter, AB Sagax, Hufvudstaden, and Fastighets. Castellum is one of the largest listed real estate companies in Sweden More
Castellum 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 Castellum'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 Castellum AB upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.23 | |||
| Information Ratio | 0.0357 | |||
| Maximum Drawdown | 10.61 | |||
| Value At Risk | (1.98) | |||
| Potential Upside | 1.93 |
Castellum Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Castellum's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Castellum's standard deviation. In reality, there are many statistical measures that can use Castellum historical prices to predict the future Castellum's volatility.| Risk Adjusted Performance | 0.0813 | |||
| Jensen Alpha | 0.1506 | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | 0.0507 | |||
| Treynor Ratio | 1.52 |
Castellum February 26, 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 | 0.0813 | |||
| Market Risk Adjusted Performance | 1.53 | |||
| Mean Deviation | 1.11 | |||
| Semi Deviation | 1.04 | |||
| Downside Deviation | 1.23 | |||
| Coefficient Of Variation | 1017.13 | |||
| Standard Deviation | 1.74 | |||
| Variance | 3.03 | |||
| Information Ratio | 0.0357 | |||
| Jensen Alpha | 0.1506 | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | 0.0507 | |||
| Treynor Ratio | 1.52 | |||
| Maximum Drawdown | 10.61 | |||
| Value At Risk | (1.98) | |||
| Potential Upside | 1.93 | |||
| Downside Variance | 1.5 | |||
| Semi Variance | 1.08 | |||
| Expected Short fall | (1.23) | |||
| Skewness | 2.73 | |||
| Kurtosis | 13.8 |
Castellum AB Backtested Returns
Currently, Castellum AB is very steady. Castellum AB secures Sharpe Ratio (or Efficiency) of 0.0903, which signifies that the company had a 0.0903 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Castellum AB, which you can use to evaluate the volatility of the firm. Please confirm Castellum's Downside Deviation of 1.23, mean deviation of 1.11, and Risk Adjusted Performance of 0.0813 to double-check if the risk estimate we provide is consistent with the expected return of 0.16%. Castellum has a performance score of 7 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.11, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Castellum's returns are expected to increase less than the market. However, during the bear market, the loss of holding Castellum is expected to be smaller as well. Castellum AB right now shows a risk of 1.83%. Please confirm Castellum AB treynor ratio, value at risk, and the relationship between the sortino ratio and maximum drawdown , to decide if Castellum AB will be following its price patterns.
Auto-correlation | -0.01 |
Very weak reverse predictability
Castellum AB has very weak reverse predictability. Overlapping area represents the amount of predictability between Castellum time series from 28th of November 2025 to 12th of January 2026 and 12th of January 2026 to 26th 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 Castellum AB price movement. The serial correlation of -0.01 indicates that just 1.0% of current Castellum price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.01 | |
| Spearman Rank Test | 0.16 | |
| Residual Average | 0.0 | |
| Price Variance | 2.89 |
Castellum 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.
Castellum AB Technical Analysis
The output start index for this execution was fourteen with a total number of output elements of fourty-seven. The Normalized Average True Range is used to analyze tradable apportunities for Castellum AB across different markets.
About Castellum 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 Castellum 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 Castellum AB based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Castellum AB price pattern first instead of the macroeconomic environment surrounding Castellum AB. By analyzing Castellum'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 Castellum'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 Castellum specific price patterns or momentum indicators. Please read more on our technical analysis page.
Castellum February 26, 2026 Technical Indicators
Most technical analysis of Castellum 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 Castellum from various momentum indicators to cycle indicators. When you analyze Castellum 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 | 0.0813 | |||
| Market Risk Adjusted Performance | 1.53 | |||
| Mean Deviation | 1.11 | |||
| Semi Deviation | 1.04 | |||
| Downside Deviation | 1.23 | |||
| Coefficient Of Variation | 1017.13 | |||
| Standard Deviation | 1.74 | |||
| Variance | 3.03 | |||
| Information Ratio | 0.0357 | |||
| Jensen Alpha | 0.1506 | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | 0.0507 | |||
| Treynor Ratio | 1.52 | |||
| Maximum Drawdown | 10.61 | |||
| Value At Risk | (1.98) | |||
| Potential Upside | 1.93 | |||
| Downside Variance | 1.5 | |||
| Semi Variance | 1.08 | |||
| Expected Short fall | (1.23) | |||
| Skewness | 2.73 | |||
| Kurtosis | 13.8 |
Castellum February 26, 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 Castellum 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 | 0.01 | ||
| Daily Balance Of Power | 0.03 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 116.25 | ||
| Day Typical Price | 116.28 | ||
| Price Action Indicator | 0.12 | ||
| Market Facilitation Index | 1.50 |
Additional Tools for Castellum Stock Analysis
When running Castellum's price analysis, check to measure Castellum'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 Castellum is operating at the current time. Most of Castellum's value examination focuses on studying past and present price action to predict the probability of Castellum's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Castellum's price. Additionally, you may evaluate how the addition of Castellum to your portfolios can decrease your overall portfolio volatility.