Hugo Boss Ag Stock Technical Analysis
| HUGPF Stock | USD 41.05 0.00 0.00% |
As of the 5th of February, Hugo Boss retains the Market Risk Adjusted Performance of 1.02, risk adjusted performance of (0.11), and Standard Deviation of 1.37. Hugo Boss technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the firm's future prices. Simply put, you can use this information to find out if the firm will indeed mirror its model of historical price patterns, or the prices will eventually revert. We were able to interpolate data for twelve technical drivers for Hugo Boss AG, which can be compared to its competitors. Please check out Hugo Boss AG coefficient of variation, treynor ratio, as well as the relationship between the Treynor Ratio and kurtosis to decide if Hugo Boss is priced fairly, providing market reflects its last-minute price of 41.05 per share. Given that Hugo Boss AG has total risk alpha of (0.32), we strongly advise you to confirm Hugo Boss AG's regular market performance to make sure the company can sustain itself at a future point.
Hugo Boss Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Hugo, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to HugoHugo |
Hugo Boss '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 Hugo Boss' otc 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 Hugo Boss.
| 11/07/2025 |
| 02/05/2026 |
If you would invest 0.00 in Hugo Boss on November 7, 2025 and sell it all today you would earn a total of 0.00 from holding Hugo Boss AG or generate 0.0% return on investment in Hugo Boss over 90 days. Hugo Boss is related to or competes with Infratil, Mercury NZ, and Electricity Generating. More
Hugo Boss 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 Hugo Boss' otc 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 Hugo Boss AG upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.20) | |||
| Maximum Drawdown | 10.45 | |||
| Value At Risk | (0.73) |
Hugo Boss Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hugo Boss' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hugo Boss' standard deviation. In reality, there are many statistical measures that can use Hugo Boss historical prices to predict the future Hugo Boss' volatility.| Risk Adjusted Performance | (0.11) | |||
| Jensen Alpha | (0.21) | |||
| Total Risk Alpha | (0.32) | |||
| Treynor Ratio | 1.01 |
Hugo Boss February 5, 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 | (0.11) | |||
| Market Risk Adjusted Performance | 1.02 | |||
| Mean Deviation | 0.4412 | |||
| Coefficient Of Variation | (660.25) | |||
| Standard Deviation | 1.37 | |||
| Variance | 1.87 | |||
| Information Ratio | (0.20) | |||
| Jensen Alpha | (0.21) | |||
| Total Risk Alpha | (0.32) | |||
| Treynor Ratio | 1.01 | |||
| Maximum Drawdown | 10.45 | |||
| Value At Risk | (0.73) | |||
| Skewness | (6.77) | |||
| Kurtosis | 50.58 |
Hugo Boss AG Backtested Returns
Hugo Boss AG holds Efficiency (Sharpe) Ratio of -0.11, which attests that the entity had a -0.11 % return per unit of risk over the last 3 months. Hugo Boss AG exposes seventeen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Hugo Boss' Standard Deviation of 1.37, market risk adjusted performance of 1.02, and Risk Adjusted Performance of (0.11) to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of -0.22, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Hugo Boss are expected to decrease at a much lower rate. During the bear market, Hugo Boss is likely to outperform the market. At this point, Hugo Boss AG has a negative expected return of -0.0535%. Please make sure to check out Hugo Boss' coefficient of variation, jensen alpha, as well as the relationship between the Jensen Alpha and kurtosis , to decide if Hugo Boss AG performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.83 |
Very good predictability
Hugo Boss AG has very good predictability. Overlapping area represents the amount of predictability between Hugo Boss time series from 7th of November 2025 to 22nd of December 2025 and 22nd of December 2025 to 5th 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 Hugo Boss AG price movement. The serial correlation of 0.83 indicates that around 83.0% of current Hugo Boss price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.83 | |
| Spearman Rank Test | 0.67 | |
| Residual Average | 0.0 | |
| Price Variance | 0.23 |
Hugo Boss technical otc 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, otc market cycles, or different charting patterns.
Hugo Boss AG Technical Analysis
The output start index for this execution was fifty with a total number of output elements of eleven. 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 Hugo Boss AG volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Hugo Boss 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 Hugo Boss AG 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 Hugo Boss AG based on its technical analysis. In general, a bottom-up approach, as applied to this otc stock, focuses on Hugo Boss AG price pattern first instead of the macroeconomic environment surrounding Hugo Boss AG. By analyzing Hugo Boss'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 Hugo Boss'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 Hugo Boss specific price patterns or momentum indicators. Please read more on our technical analysis page.
Hugo Boss February 5, 2026 Technical Indicators
Most technical analysis of Hugo 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 Hugo from various momentum indicators to cycle indicators. When you analyze Hugo 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 | (0.11) | |||
| Market Risk Adjusted Performance | 1.02 | |||
| Mean Deviation | 0.4412 | |||
| Coefficient Of Variation | (660.25) | |||
| Standard Deviation | 1.37 | |||
| Variance | 1.87 | |||
| Information Ratio | (0.20) | |||
| Jensen Alpha | (0.21) | |||
| Total Risk Alpha | (0.32) | |||
| Treynor Ratio | 1.01 | |||
| Maximum Drawdown | 10.45 | |||
| Value At Risk | (0.73) | |||
| Skewness | (6.77) | |||
| Kurtosis | 50.58 |
Hugo Boss February 5, 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 Hugo 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 | 0.00 | ||
| Daily Balance Of Power | 0.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 41.05 | ||
| Day Typical Price | 41.05 | ||
| Price Action Indicator | 0.00 |
Complementary Tools for Hugo OTC Stock analysis
When running Hugo Boss' price analysis, check to measure Hugo Boss' 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 Hugo Boss is operating at the current time. Most of Hugo Boss' value examination focuses on studying past and present price action to predict the probability of Hugo Boss' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Hugo Boss' price. Additionally, you may evaluate how the addition of Hugo Boss to your portfolios can decrease your overall portfolio volatility.
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