Digital Workforce (Finland) Technical Analysis
| DWF Stock | 2.51 0.01 0.40% |
Digital Workforce Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Digital, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DigitalDigital |
Digital Workforce '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 Digital Workforce'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 Digital Workforce.
| 11/18/2025 |
| 02/16/2026 |
If you would invest 0.00 in Digital Workforce on November 18, 2025 and sell it all today you would earn a total of 0.00 from holding Digital Workforce Services or generate 0.0% return on investment in Digital Workforce over 90 days.
Digital Workforce 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 Digital Workforce'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 Digital Workforce Services upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.20) | |||
| Maximum Drawdown | 9.22 | |||
| Value At Risk | (2.37) | |||
| Potential Upside | 1.93 |
Digital Workforce Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Digital Workforce's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Digital Workforce's standard deviation. In reality, there are many statistical measures that can use Digital Workforce historical prices to predict the future Digital Workforce's volatility.| Risk Adjusted Performance | (0.12) | |||
| Jensen Alpha | (0.24) | |||
| Total Risk Alpha | (0.37) | |||
| Treynor Ratio | 1.85 |
Digital Workforce February 16, 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 | (0.12) | |||
| Market Risk Adjusted Performance | 1.86 | |||
| Mean Deviation | 1.1 | |||
| Coefficient Of Variation | (641.60) | |||
| Standard Deviation | 1.56 | |||
| Variance | 2.42 | |||
| Information Ratio | (0.20) | |||
| Jensen Alpha | (0.24) | |||
| Total Risk Alpha | (0.37) | |||
| Treynor Ratio | 1.85 | |||
| Maximum Drawdown | 9.22 | |||
| Value At Risk | (2.37) | |||
| Potential Upside | 1.93 | |||
| Skewness | 0.179 | |||
| Kurtosis | 2.38 |
Digital Workforce Backtested Returns
Digital Workforce secures Sharpe Ratio (or Efficiency) of -0.13, which denotes the company had a -0.13 % return per unit of risk over the last 3 months. Digital Workforce Services exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Digital Workforce's Mean Deviation of 1.1, standard deviation of 1.56, and Variance of 2.42 to check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.14, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Digital Workforce are expected to decrease at a much lower rate. During the bear market, Digital Workforce is likely to outperform the market. At this point, Digital Workforce has a negative expected return of -0.2%. Please make sure to confirm Digital Workforce's standard deviation, maximum drawdown, kurtosis, as well as the relationship between the total risk alpha and potential upside , to decide if Digital Workforce performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.48 |
Average predictability
Digital Workforce Services has average predictability. Overlapping area represents the amount of predictability between Digital Workforce time series from 18th of November 2025 to 2nd of January 2026 and 2nd of January 2026 to 16th 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 Digital Workforce price movement. The serial correlation of 0.48 indicates that about 48.0% of current Digital Workforce price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.48 | |
| Spearman Rank Test | 0.54 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Digital Workforce 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.
Digital Workforce Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Digital Workforce volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Digital Workforce February 16, 2026 Technical Indicators
Most technical analysis of Digital 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 Digital from various momentum indicators to cycle indicators. When you analyze Digital 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 | (0.12) | |||
| Market Risk Adjusted Performance | 1.86 | |||
| Mean Deviation | 1.1 | |||
| Coefficient Of Variation | (641.60) | |||
| Standard Deviation | 1.56 | |||
| Variance | 2.42 | |||
| Information Ratio | (0.20) | |||
| Jensen Alpha | (0.24) | |||
| Total Risk Alpha | (0.37) | |||
| Treynor Ratio | 1.85 | |||
| Maximum Drawdown | 9.22 | |||
| Value At Risk | (2.37) | |||
| Potential Upside | 1.93 | |||
| Skewness | 0.179 | |||
| Kurtosis | 2.38 |
Digital Workforce February 16, 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 Digital 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 | 0.02 | ||
| Daily Balance Of Power | 0.20 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 2.53 | ||
| Day Typical Price | 2.52 | ||
| Price Action Indicator | (0.01) | ||
| Market Facilitation Index | 0.05 |
Complementary Tools for Digital Stock analysis
When running Digital Workforce's price analysis, check to measure Digital Workforce'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 Digital Workforce is operating at the current time. Most of Digital Workforce's value examination focuses on studying past and present price action to predict the probability of Digital Workforce's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Digital Workforce's price. Additionally, you may evaluate how the addition of Digital Workforce to your portfolios can decrease your overall portfolio volatility.
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