CodeMill (Sweden) Technical Analysis
| CDMIL Stock | 15.90 0.40 2.45% |
As of the 12th of February 2026, CodeMill shows the mean deviation of 3.08, and Risk Adjusted Performance of 0.0095. CodeMill 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. Please confirm CodeMill AB jensen alpha, and the relationship between the coefficient of variation and potential upside to decide if CodeMill AB is priced correctly, providing market reflects its regular price of 15.9 per share.
CodeMill Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as CodeMill, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CodeMillCodeMill |
CodeMill '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 CodeMill'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 CodeMill.
| 11/14/2025 |
| 02/12/2026 |
If you would invest 0.00 in CodeMill on November 14, 2025 and sell it all today you would earn a total of 0.00 from holding CodeMill AB or generate 0.0% return on investment in CodeMill over 90 days. CodeMill is related to or competes with Crunchfish, Alpcot Holding, Greater Than, Litium AB, Safeture, MAG Interactive, and Rolling Optics. More
CodeMill 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 CodeMill'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 CodeMill AB upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.08 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 25.15 | |||
| Value At Risk | (6.23) | |||
| Potential Upside | 7.67 |
CodeMill Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for CodeMill's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CodeMill's standard deviation. In reality, there are many statistical measures that can use CodeMill historical prices to predict the future CodeMill's volatility.| Risk Adjusted Performance | 0.0095 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.53) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | (0.02) |
CodeMill February 12, 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 | 0.0095 | |||
| Market Risk Adjusted Performance | (0.01) | |||
| Mean Deviation | 3.08 | |||
| Semi Deviation | 3.44 | |||
| Downside Deviation | 4.08 | |||
| Coefficient Of Variation | 61598.33 | |||
| Standard Deviation | 4.45 | |||
| Variance | 19.83 | |||
| Information Ratio | (0.02) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.53) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | (0.02) | |||
| Maximum Drawdown | 25.15 | |||
| Value At Risk | (6.23) | |||
| Potential Upside | 7.67 | |||
| Downside Variance | 16.62 | |||
| Semi Variance | 11.87 | |||
| Expected Short fall | (4.42) | |||
| Skewness | 1.04 | |||
| Kurtosis | 2.67 |
CodeMill AB Backtested Returns
Currently, CodeMill AB is somewhat reliable. CodeMill AB secures Sharpe Ratio (or Efficiency) of 0.0138, which signifies that the company had a 0.0138 % return per unit of standard deviation over the last 3 months. We have found twenty-nine technical indicators for CodeMill AB, which you can use to evaluate the volatility of the firm. Please confirm CodeMill's risk adjusted performance of 0.0095, and Mean Deviation of 3.08 to double-check if the risk estimate we provide is consistent with the expected return of 0.0546%. CodeMill has a performance score of 1 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.14, which signifies not very significant fluctuations relative to the market. As returns on the market increase, CodeMill's returns are expected to increase less than the market. However, during the bear market, the loss of holding CodeMill is expected to be smaller as well. CodeMill AB right now shows a risk of 3.95%. Please confirm CodeMill AB potential upside, rate of daily change, and the relationship between the sortino ratio and skewness , to decide if CodeMill AB will be following its price patterns.
Auto-correlation | -0.2 |
Insignificant reverse predictability
CodeMill AB has insignificant reverse predictability. Overlapping area represents the amount of predictability between CodeMill time series from 14th of November 2025 to 29th of December 2025 and 29th of December 2025 to 12th 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 CodeMill AB price movement. The serial correlation of -0.2 indicates that over 20.0% of current CodeMill price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.2 | |
| Spearman Rank Test | -0.3 | |
| Residual Average | 0.0 | |
| Price Variance | 0.32 |
CodeMill 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.
CodeMill AB Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for CodeMill AB across different markets.
About CodeMill 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 CodeMill 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 CodeMill AB based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on CodeMill AB price pattern first instead of the macroeconomic environment surrounding CodeMill AB. By analyzing CodeMill'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 CodeMill'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 CodeMill specific price patterns or momentum indicators. Please read more on our technical analysis page.
CodeMill February 12, 2026 Technical Indicators
Most technical analysis of CodeMill 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 CodeMill from various momentum indicators to cycle indicators. When you analyze CodeMill 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 | 0.0095 | |||
| Market Risk Adjusted Performance | (0.01) | |||
| Mean Deviation | 3.08 | |||
| Semi Deviation | 3.44 | |||
| Downside Deviation | 4.08 | |||
| Coefficient Of Variation | 61598.33 | |||
| Standard Deviation | 4.45 | |||
| Variance | 19.83 | |||
| Information Ratio | (0.02) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.53) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | (0.02) | |||
| Maximum Drawdown | 25.15 | |||
| Value At Risk | (6.23) | |||
| Potential Upside | 7.67 | |||
| Downside Variance | 16.62 | |||
| Semi Variance | 11.87 | |||
| Expected Short fall | (4.42) | |||
| Skewness | 1.04 | |||
| Kurtosis | 2.67 |
CodeMill February 12, 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 CodeMill 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 | 7.10 | ||
| Daily Balance Of Power | (4.00) | ||
| Rate Of Daily Change | 0.98 | ||
| Day Median Price | 15.95 | ||
| Day Typical Price | 15.93 | ||
| Price Action Indicator | (0.25) |
Additional Tools for CodeMill Stock Analysis
When running CodeMill's price analysis, check to measure CodeMill'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 CodeMill is operating at the current time. Most of CodeMill's value examination focuses on studying past and present price action to predict the probability of CodeMill's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move CodeMill's price. Additionally, you may evaluate how the addition of CodeMill to your portfolios can decrease your overall portfolio volatility.