PCF Group (Poland) Technical Analysis
| PCF Stock | 4.15 0.02 0.48% |
PCF Group Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as PCF, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to PCFPCF |
PCF Group '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 PCF Group'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 PCF Group.
| 11/04/2025 |
| 02/02/2026 |
If you would invest 0.00 in PCF Group on November 4, 2025 and sell it all today you would earn a total of 0.00 from holding PCF Group SA or generate 0.0% return on investment in PCF Group over 90 days.
PCF Group 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 PCF Group'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 PCF Group SA upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.8 | |||
| Information Ratio | 0.0159 | |||
| Maximum Drawdown | 16.93 | |||
| Value At Risk | (4.78) | |||
| Potential Upside | 7.99 |
PCF Group Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for PCF Group's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as PCF Group's standard deviation. In reality, there are many statistical measures that can use PCF Group historical prices to predict the future PCF Group's volatility.| Risk Adjusted Performance | 0.0286 | |||
| Jensen Alpha | 0.0916 | |||
| Total Risk Alpha | (0.08) | |||
| Sortino Ratio | 0.0203 | |||
| Treynor Ratio | 14.35 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of PCF Group'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.
PCF Group February 2, 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 | 0.0286 | |||
| Market Risk Adjusted Performance | 14.36 | |||
| Mean Deviation | 2.56 | |||
| Semi Deviation | 2.67 | |||
| Downside Deviation | 2.8 | |||
| Coefficient Of Variation | 3502.32 | |||
| Standard Deviation | 3.57 | |||
| Variance | 12.72 | |||
| Information Ratio | 0.0159 | |||
| Jensen Alpha | 0.0916 | |||
| Total Risk Alpha | (0.08) | |||
| Sortino Ratio | 0.0203 | |||
| Treynor Ratio | 14.35 | |||
| Maximum Drawdown | 16.93 | |||
| Value At Risk | (4.78) | |||
| Potential Upside | 7.99 | |||
| Downside Variance | 7.82 | |||
| Semi Variance | 7.11 | |||
| Expected Short fall | (3.35) | |||
| Skewness | 1.11 | |||
| Kurtosis | 2.09 |
PCF Group SA Backtested Returns
Currently, PCF Group SA is unstable. PCF Group SA maintains Sharpe Ratio (i.e., Efficiency) of 0.0349, which implies the company had a 0.0349 % return per unit of volatility over the last 3 months. We have found thirty technical indicators for PCF Group SA, which you can use to evaluate the volatility of the entity. Please check PCF Group's coefficient of variation of 3502.32, and Market Risk Adjusted Performance of 14.36 to confirm if the risk estimate we provide is consistent with the expected return of 0.13%. PCF Group has a performance score of 2 on a scale of 0 to 100. The firm holds a Beta of 0.0064, which implies not very significant fluctuations relative to the market. As returns on the market increase, PCF Group's returns are expected to increase less than the market. However, during the bear market, the loss of holding PCF Group is expected to be smaller as well. PCF Group SA now holds a risk of 3.73%. Please check PCF Group SA semi variance, day typical price, and the relationship between the maximum drawdown and accumulation distribution , to decide if PCF Group SA will be following its historical price patterns.
Auto-correlation | -0.78 |
Almost perfect reverse predictability
PCF Group SA has almost perfect reverse predictability. Overlapping area represents the amount of predictability between PCF Group time series from 4th of November 2025 to 19th of December 2025 and 19th of December 2025 to 2nd 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 PCF Group SA price movement. The serial correlation of -0.78 indicates that around 78.0% of current PCF Group price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.78 | |
| Spearman Rank Test | -0.78 | |
| Residual Average | 0.0 | |
| Price Variance | 0.08 |
PCF Group 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.
PCF Group 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 PCF Group SA volatility. High ATR values indicate high volatility, and low values indicate low volatility.
PCF Group February 2, 2026 Technical Indicators
Most technical analysis of PCF 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 PCF from various momentum indicators to cycle indicators. When you analyze PCF 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 | 0.0286 | |||
| Market Risk Adjusted Performance | 14.36 | |||
| Mean Deviation | 2.56 | |||
| Semi Deviation | 2.67 | |||
| Downside Deviation | 2.8 | |||
| Coefficient Of Variation | 3502.32 | |||
| Standard Deviation | 3.57 | |||
| Variance | 12.72 | |||
| Information Ratio | 0.0159 | |||
| Jensen Alpha | 0.0916 | |||
| Total Risk Alpha | (0.08) | |||
| Sortino Ratio | 0.0203 | |||
| Treynor Ratio | 14.35 | |||
| Maximum Drawdown | 16.93 | |||
| Value At Risk | (4.78) | |||
| Potential Upside | 7.99 | |||
| Downside Variance | 7.82 | |||
| Semi Variance | 7.11 | |||
| Expected Short fall | (3.35) | |||
| Skewness | 1.11 | |||
| Kurtosis | 2.09 |
PCF Group February 2, 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 PCF 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 | 0.04 | ||
| Daily Balance Of Power | (0.13) | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 4.08 | ||
| Day Typical Price | 4.10 | ||
| Price Action Indicator | 0.07 | ||
| Market Facilitation Index | 0.15 |
Additional Tools for PCF Stock Analysis
When running PCF Group's price analysis, check to measure PCF Group'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 PCF Group is operating at the current time. Most of PCF Group's value examination focuses on studying past and present price action to predict the probability of PCF Group's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move PCF Group's price. Additionally, you may evaluate how the addition of PCF Group to your portfolios can decrease your overall portfolio volatility.