PCC ROKITA (Germany) Technical Analysis
| 229 Stock | EUR 17.20 0.32 1.90% |
As of the 4th of February, PCC ROKITA owns the semi deviation of 1.3, and Market Risk Adjusted Performance of 0.3692. PCC ROKITA SA technical analysis gives you tools to exploit past data patterns in attempt to determine a pattern that determines the direction of the entity's future prices. Please check PCC ROKITA SA mean deviation, downside deviation, standard deviation, as well as the relationship between the semi deviation and coefficient of variation to decide if PCC ROKITA SA is priced fairly, providing market reflects its prevailing price of 17.2 per share.
PCC ROKITA Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as PCC, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to PCCPCC |
PCC ROKITA '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 PCC ROKITA'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 PCC ROKITA.
| 11/06/2025 |
| 02/04/2026 |
If you would invest 0.00 in PCC ROKITA on November 6, 2025 and sell it all today you would earn a total of 0.00 from holding PCC ROKITA SA or generate 0.0% return on investment in PCC ROKITA over 90 days. PCC ROKITA is related to or competes with DAIRY FARM, Titan Machinery, Nufarm, AUST AGRICULTURAL, Lamar Advertising, CarsalesCom, and North American. PCC Rokita SA manufactures and distributes chemical products in Poland and internationally More
PCC ROKITA 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 PCC ROKITA'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 PCC ROKITA SA upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.5 | |||
| Information Ratio | 0.032 | |||
| Maximum Drawdown | 16.94 | |||
| Value At Risk | (2.09) | |||
| Potential Upside | 3.59 |
PCC ROKITA Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for PCC ROKITA's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as PCC ROKITA's standard deviation. In reality, there are many statistical measures that can use PCC ROKITA historical prices to predict the future PCC ROKITA's volatility.| Risk Adjusted Performance | 0.0517 | |||
| Jensen Alpha | 0.1061 | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | 0.0469 | |||
| Treynor Ratio | 0.3592 |
PCC ROKITA February 4, 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 | 0.3692 | |||
| Mean Deviation | 1.07 | |||
| Semi Deviation | 1.3 | |||
| Downside Deviation | 1.5 | |||
| Coefficient Of Variation | 1634.53 | |||
| Standard Deviation | 2.21 | |||
| Variance | 4.87 | |||
| Information Ratio | 0.032 | |||
| Jensen Alpha | 0.1061 | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | 0.0469 | |||
| Treynor Ratio | 0.3592 | |||
| Maximum Drawdown | 16.94 | |||
| Value At Risk | (2.09) | |||
| Potential Upside | 3.59 | |||
| Downside Variance | 2.26 | |||
| Semi Variance | 1.69 | |||
| Expected Short fall | (1.45) | |||
| Skewness | 3.26 | |||
| Kurtosis | 20.16 |
PCC ROKITA SA Backtested Returns
At this point, PCC ROKITA is not too volatile. PCC ROKITA SA retains Efficiency (Sharpe Ratio) of 0.0612, which implies the company had a 0.0612 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for PCC ROKITA, which you can use to evaluate the volatility of the entity. Please check PCC ROKITA's market risk adjusted performance of 0.3692, and Semi Deviation of 1.3 to confirm if the risk estimate we provide is consistent with the expected return of 0.14%. PCC ROKITA has a performance score of 4 on a scale of 0 to 100. The firm owns a Beta (Systematic Risk) of 0.35, which implies possible diversification benefits within a given portfolio. As returns on the market increase, PCC ROKITA's returns are expected to increase less than the market. However, during the bear market, the loss of holding PCC ROKITA is expected to be smaller as well. PCC ROKITA SA at this time owns a risk of 2.21%. Please check PCC ROKITA SA downside deviation, information ratio, and the relationship between the semi deviation and coefficient of variation , to decide if PCC ROKITA SA will be following its current price history.
Auto-correlation | -0.7 |
Very good reverse predictability
PCC ROKITA SA has very good reverse predictability. Overlapping area represents the amount of predictability between PCC ROKITA time series from 6th of November 2025 to 21st of December 2025 and 21st of December 2025 to 4th 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 PCC ROKITA SA price movement. The serial correlation of -0.7 indicates that around 70.0% of current PCC ROKITA price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.7 | |
| Spearman Rank Test | -0.88 | |
| Residual Average | 0.0 | |
| Price Variance | 1.34 |
PCC ROKITA 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.
PCC ROKITA SA Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 PCC ROKITA SA volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About PCC ROKITA 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 PCC ROKITA SA 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 PCC ROKITA SA based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on PCC ROKITA SA price pattern first instead of the macroeconomic environment surrounding PCC ROKITA SA. By analyzing PCC ROKITA'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 PCC ROKITA'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 PCC ROKITA specific price patterns or momentum indicators. Please read more on our technical analysis page.
PCC ROKITA February 4, 2026 Technical Indicators
Most technical analysis of PCC 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 PCC from various momentum indicators to cycle indicators. When you analyze PCC 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 | 0.3692 | |||
| Mean Deviation | 1.07 | |||
| Semi Deviation | 1.3 | |||
| Downside Deviation | 1.5 | |||
| Coefficient Of Variation | 1634.53 | |||
| Standard Deviation | 2.21 | |||
| Variance | 4.87 | |||
| Information Ratio | 0.032 | |||
| Jensen Alpha | 0.1061 | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | 0.0469 | |||
| Treynor Ratio | 0.3592 | |||
| Maximum Drawdown | 16.94 | |||
| Value At Risk | (2.09) | |||
| Potential Upside | 3.59 | |||
| Downside Variance | 2.26 | |||
| Semi Variance | 1.69 | |||
| Expected Short fall | (1.45) | |||
| Skewness | 3.26 | |||
| Kurtosis | 20.16 |
PCC ROKITA February 4, 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 PCC 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 | Huge | ||
| Rate Of Daily Change | 1.02 | ||
| Day Median Price | 17.20 | ||
| Day Typical Price | 17.20 | ||
| Price Action Indicator | 0.16 |
Complementary Tools for PCC Stock analysis
When running PCC ROKITA's price analysis, check to measure PCC ROKITA'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 PCC ROKITA is operating at the current time. Most of PCC ROKITA's value examination focuses on studying past and present price action to predict the probability of PCC ROKITA's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move PCC ROKITA's price. Additionally, you may evaluate how the addition of PCC ROKITA to your portfolios can decrease your overall portfolio volatility.
| Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
| Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios |