Puma Se Stock Technical Analysis
| PUMSY Stock | USD 2.74 0.24 9.60% |
As of the 3rd of February, PUMA SE holds the risk adjusted performance of 0.0517, and Semi Deviation of 3.62. In connection with fundamental indicators, the technical analysis model allows you to check available technical drivers of PUMA SE, as well as the relationship between them.
PUMA SE Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as PUMA, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to PUMAPUMA |
PUMA SE '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 PUMA SE's pink sheet 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 PUMA SE.
| 11/05/2025 |
| 02/03/2026 |
If you would invest 0.00 in PUMA SE on November 5, 2025 and sell it all today you would earn a total of 0.00 from holding PUMA SE or generate 0.0% return on investment in PUMA SE over 90 days. PUMA SE is related to or competes with Yue Yuen, Hugo Boss, Samsonite International, Yue Yuen, Samsonite International, Hugo Boss, and Genting Berhad. PUMA SE, together with its subsidiaries, designs, develops, sells, and markets footwear, apparel, and accessories for me... More
PUMA SE 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 PUMA SE's pink sheet 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 PUMA SE upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.88 | |||
| Information Ratio | 0.0477 | |||
| Maximum Drawdown | 30.05 | |||
| Value At Risk | (5.42) | |||
| Potential Upside | 9.6 |
PUMA SE Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for PUMA SE's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as PUMA SE's standard deviation. In reality, there are many statistical measures that can use PUMA SE historical prices to predict the future PUMA SE's volatility.| Risk Adjusted Performance | 0.0517 | |||
| Jensen Alpha | 0.1879 | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | 0.0615 | |||
| Treynor Ratio | 0.1352 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of PUMA SE's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
PUMA SE February 3, 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 | 0.0517 | |||
| Market Risk Adjusted Performance | 0.1452 | |||
| Mean Deviation | 3.35 | |||
| Semi Deviation | 3.62 | |||
| Downside Deviation | 3.88 | |||
| Coefficient Of Variation | 1699.07 | |||
| Standard Deviation | 5.0 | |||
| Variance | 24.96 | |||
| Information Ratio | 0.0477 | |||
| Jensen Alpha | 0.1879 | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | 0.0615 | |||
| Treynor Ratio | 0.1352 | |||
| Maximum Drawdown | 30.05 | |||
| Value At Risk | (5.42) | |||
| Potential Upside | 9.6 | |||
| Downside Variance | 15.03 | |||
| Semi Variance | 13.1 | |||
| Expected Short fall | (4.24) | |||
| Skewness | 1.33 | |||
| Kurtosis | 4.57 |
PUMA SE Backtested Returns
PUMA SE appears to be very risky, given 3 months investment horizon. PUMA SE maintains Sharpe Ratio (i.e., Efficiency) of 0.15, which implies the firm had a 0.15 % return per unit of volatility over the last 3 months. By reviewing PUMA SE's technical indicators, you can evaluate if the expected return of 0.74% is justified by implied risk. Please evaluate PUMA SE's risk adjusted performance of 0.0517, and Semi Deviation of 3.62 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, PUMA SE holds a performance score of 11. The company holds a Beta of 2.1, which implies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, PUMA SE will likely underperform. Please check PUMA SE's semi variance, rate of daily change, and the relationship between the value at risk and kurtosis , to make a quick decision on whether PUMA SE's historical price patterns will revert.
Auto-correlation | -0.18 |
Insignificant reverse predictability
PUMA SE has insignificant reverse predictability. Overlapping area represents the amount of predictability between PUMA SE time series from 5th of November 2025 to 20th of December 2025 and 20th of December 2025 to 3rd 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 PUMA SE price movement. The serial correlation of -0.18 indicates that over 18.0% of current PUMA SE price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.18 | |
| Spearman Rank Test | 0.26 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
PUMA SE technical pink sheet 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, pink sheet market cycles, or different charting patterns.
PUMA SE Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Normalized Average True Range is used to analyze tradable apportunities for PUMA SE across different markets.
About PUMA SE 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 PUMA SE 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 PUMA SE based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on PUMA SE price pattern first instead of the macroeconomic environment surrounding PUMA SE. By analyzing PUMA SE'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 PUMA SE'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 PUMA SE specific price patterns or momentum indicators. Please read more on our technical analysis page.
PUMA SE February 3, 2026 Technical Indicators
Most technical analysis of PUMA 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 PUMA from various momentum indicators to cycle indicators. When you analyze PUMA 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 | 0.0517 | |||
| Market Risk Adjusted Performance | 0.1452 | |||
| Mean Deviation | 3.35 | |||
| Semi Deviation | 3.62 | |||
| Downside Deviation | 3.88 | |||
| Coefficient Of Variation | 1699.07 | |||
| Standard Deviation | 5.0 | |||
| Variance | 24.96 | |||
| Information Ratio | 0.0477 | |||
| Jensen Alpha | 0.1879 | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | 0.0615 | |||
| Treynor Ratio | 0.1352 | |||
| Maximum Drawdown | 30.05 | |||
| Value At Risk | (5.42) | |||
| Potential Upside | 9.6 | |||
| Downside Variance | 15.03 | |||
| Semi Variance | 13.1 | |||
| Expected Short fall | (4.24) | |||
| Skewness | 1.33 | |||
| Kurtosis | 4.57 |
PUMA SE February 3, 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 PUMA 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 | 349.90 | ||
| Daily Balance Of Power | 3.43 | ||
| Rate Of Daily Change | 1.10 | ||
| Day Median Price | 2.72 | ||
| Day Typical Price | 2.73 | ||
| Price Action Indicator | 0.14 |
Additional Tools for PUMA Pink Sheet Analysis
When running PUMA SE's price analysis, check to measure PUMA SE'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 PUMA SE is operating at the current time. Most of PUMA SE's value examination focuses on studying past and present price action to predict the probability of PUMA SE's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move PUMA SE's price. Additionally, you may evaluate how the addition of PUMA SE to your portfolios can decrease your overall portfolio volatility.