S A P (South Africa) Technical Analysis
| SAP Stock | 1,667 11.00 0.66% |
As of the 19th of February, S A P has the Coefficient Of Variation of (822.80), risk adjusted performance of (0.09), and Variance of 12.13. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Sappi, as well as the relationship between them. Please validate Sappi coefficient of variation, treynor ratio, skewness, as well as the relationship between the variance and value at risk to decide if S A P is priced more or less accurately, providing market reflects its prevalent price of 1667.0 per share.
S A P Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SAP, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SAPSAP |
S A P '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 S A P'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 S A P.
| 11/21/2025 |
| 02/19/2026 |
If you would invest 0.00 in S A P on November 21, 2025 and sell it all today you would earn a total of 0.00 from holding Sappi or generate 0.0% return on investment in S A P over 90 days. S A P is related to or competes with EMedia Holdings, CA Sales, African Media, Life Healthcare, Kap Industrial, Harmony Gold, and Kumba Iron. More
S A P 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 S A P'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 Sappi upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 18.23 | |||
| Value At Risk | (6.13) | |||
| Potential Upside | 4.4 |
S A P Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for S A P's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as S A P's standard deviation. In reality, there are many statistical measures that can use S A P historical prices to predict the future S A P's volatility.| Risk Adjusted Performance | (0.09) | |||
| Jensen Alpha | (0.46) | |||
| Total Risk Alpha | (0.59) | |||
| Treynor Ratio | (0.70) |
S A P February 19, 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 | (0.09) | |||
| Market Risk Adjusted Performance | (0.69) | |||
| Mean Deviation | 2.61 | |||
| Coefficient Of Variation | (822.80) | |||
| Standard Deviation | 3.48 | |||
| Variance | 12.13 | |||
| Information Ratio | (0.13) | |||
| Jensen Alpha | (0.46) | |||
| Total Risk Alpha | (0.59) | |||
| Treynor Ratio | (0.70) | |||
| Maximum Drawdown | 18.23 | |||
| Value At Risk | (6.13) | |||
| Potential Upside | 4.4 | |||
| Skewness | 0.5288 | |||
| Kurtosis | 1.35 |
Sappi Backtested Returns
Sappi owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.1, which indicates the firm had a -0.1 % return per unit of risk over the last 3 months. Sappi exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate S A P's Coefficient Of Variation of (822.80), variance of 12.13, and Risk Adjusted Performance of (0.09) to confirm the risk estimate we provide. The entity has a beta of 0.62, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, S A P's returns are expected to increase less than the market. However, during the bear market, the loss of holding S A P is expected to be smaller as well. At this point, Sappi has a negative expected return of -0.36%. Please make sure to validate S A P's accumulation distribution, day typical price, and the relationship between the skewness and rate of daily change , to decide if Sappi performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.75 |
Almost perfect reverse predictability
Sappi has almost perfect reverse predictability. Overlapping area represents the amount of predictability between S A P time series from 21st of November 2025 to 5th of January 2026 and 5th of January 2026 to 19th 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 Sappi price movement. The serial correlation of -0.75 indicates that around 75.0% of current S A P price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.75 | |
| Spearman Rank Test | -0.67 | |
| Residual Average | 0.0 | |
| Price Variance | 79.4 K |
S A P 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.
Sappi Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-one. 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 Sappi volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About S A P 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 Sappi 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 Sappi based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Sappi price pattern first instead of the macroeconomic environment surrounding Sappi. By analyzing S A P'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 S A P'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 S A P specific price patterns or momentum indicators. Please read more on our technical analysis page.
S A P February 19, 2026 Technical Indicators
Most technical analysis of SAP 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 SAP from various momentum indicators to cycle indicators. When you analyze SAP 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 | (0.09) | |||
| Market Risk Adjusted Performance | (0.69) | |||
| Mean Deviation | 2.61 | |||
| Coefficient Of Variation | (822.80) | |||
| Standard Deviation | 3.48 | |||
| Variance | 12.13 | |||
| Information Ratio | (0.13) | |||
| Jensen Alpha | (0.46) | |||
| Total Risk Alpha | (0.59) | |||
| Treynor Ratio | (0.70) | |||
| Maximum Drawdown | 18.23 | |||
| Value At Risk | (6.13) | |||
| Potential Upside | 4.4 | |||
| Skewness | 0.5288 | |||
| Kurtosis | 1.35 |
S A P February 19, 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 SAP 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 | 51,048 | ||
| Daily Balance Of Power | 0.17 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 1,668 | ||
| Day Typical Price | 1,668 | ||
| Price Action Indicator | 4.50 |
Complementary Tools for SAP Stock analysis
When running S A P's price analysis, check to measure S A P'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 S A P is operating at the current time. Most of S A P's value examination focuses on studying past and present price action to predict the probability of S A P's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move S A P's price. Additionally, you may evaluate how the addition of S A P to your portfolios can decrease your overall portfolio volatility.
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