Schulz SA (Brazil) Technical Analysis
| SHUL4 Preferred Stock | BRL 5.55 0.07 1.28% |
As of the 16th of February 2026, Schulz SA has the Coefficient Of Variation of 561.56, risk adjusted performance of 0.1496, and Semi Deviation of 1.47. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Schulz SA, as well as the relationship between them. Please validate Schulz SA standard deviation, treynor ratio, downside variance, as well as the relationship between the information ratio and value at risk to decide if Schulz SA is priced more or less accurately, providing market reflects its prevalent price of 5.55 per share.
Schulz SA Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Schulz, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SchulzSchulz |
Schulz SA '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 Schulz SA's preferred 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 Schulz SA.
| 11/18/2025 |
| 02/16/2026 |
If you would invest 0.00 in Schulz SA on November 18, 2025 and sell it all today you would earn a total of 0.00 from holding Schulz SA or generate 0.0% return on investment in Schulz SA over 90 days. Schulz SA is related to or competes with CVC Brasil, WLM Participaes, WLM Participaes, Iochpe Maxion, Grazziotin, Grazziotin, and Metalrgica Riosulense. Schulz S.A. manufactures and sells air compressors and automotive components in Brazil and internationally More
Schulz SA 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 Schulz SA's preferred 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 Schulz SA upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.78 | |||
| Information Ratio | 0.1426 | |||
| Maximum Drawdown | 9.3 | |||
| Value At Risk | (2.57) | |||
| Potential Upside | 3.61 |
Schulz SA Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Schulz SA's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Schulz SA's standard deviation. In reality, there are many statistical measures that can use Schulz SA historical prices to predict the future Schulz SA's volatility.| Risk Adjusted Performance | 0.1496 | |||
| Jensen Alpha | 0.3315 | |||
| Total Risk Alpha | 0.1945 | |||
| Sortino Ratio | 0.1574 | |||
| Treynor Ratio | 2.2 |
Schulz SA February 16, 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 | 0.1496 | |||
| Market Risk Adjusted Performance | 2.21 | |||
| Mean Deviation | 1.48 | |||
| Semi Deviation | 1.47 | |||
| Downside Deviation | 1.78 | |||
| Coefficient Of Variation | 561.56 | |||
| Standard Deviation | 1.97 | |||
| Variance | 3.88 | |||
| Information Ratio | 0.1426 | |||
| Jensen Alpha | 0.3315 | |||
| Total Risk Alpha | 0.1945 | |||
| Sortino Ratio | 0.1574 | |||
| Treynor Ratio | 2.2 | |||
| Maximum Drawdown | 9.3 | |||
| Value At Risk | (2.57) | |||
| Potential Upside | 3.61 | |||
| Downside Variance | 3.18 | |||
| Semi Variance | 2.17 | |||
| Expected Short fall | (1.69) | |||
| Skewness | 0.3228 | |||
| Kurtosis | 1.47 |
Schulz SA Backtested Returns
Schulz SA appears to be somewhat reliable, given 3 months investment horizon. Schulz SA owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.21, which indicates the firm had a 0.21 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Schulz SA, which you can use to evaluate the volatility of the company. Please review Schulz SA's Semi Deviation of 1.47, coefficient of variation of 561.56, and Risk Adjusted Performance of 0.1496 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Schulz SA holds a performance score of 16. The entity has a beta of 0.15, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Schulz SA's returns are expected to increase less than the market. However, during the bear market, the loss of holding Schulz SA is expected to be smaller as well. Please check Schulz SA's standard deviation, treynor ratio, downside variance, as well as the relationship between the total risk alpha and value at risk , to make a quick decision on whether Schulz SA's existing price patterns will revert.
Auto-correlation | 0.69 |
Good predictability
Schulz SA has good predictability. Overlapping area represents the amount of predictability between Schulz SA time series from 18th of November 2025 to 2nd of January 2026 and 2nd of January 2026 to 16th 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 Schulz SA price movement. The serial correlation of 0.69 indicates that around 69.0% of current Schulz SA price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.69 | |
| Spearman Rank Test | 0.61 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Schulz SA technical preferred 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, preferred stock market cycles, or different charting patterns.
Schulz SA Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Schulz SA volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Schulz SA 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 Schulz 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 Schulz SA based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Schulz SA price pattern first instead of the macroeconomic environment surrounding Schulz SA. By analyzing Schulz SA'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 Schulz SA'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 Schulz SA specific price patterns or momentum indicators. Please read more on our technical analysis page.
Schulz SA February 16, 2026 Technical Indicators
Most technical analysis of Schulz 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 Schulz from various momentum indicators to cycle indicators. When you analyze Schulz 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 | 0.1496 | |||
| Market Risk Adjusted Performance | 2.21 | |||
| Mean Deviation | 1.48 | |||
| Semi Deviation | 1.47 | |||
| Downside Deviation | 1.78 | |||
| Coefficient Of Variation | 561.56 | |||
| Standard Deviation | 1.97 | |||
| Variance | 3.88 | |||
| Information Ratio | 0.1426 | |||
| Jensen Alpha | 0.3315 | |||
| Total Risk Alpha | 0.1945 | |||
| Sortino Ratio | 0.1574 | |||
| Treynor Ratio | 2.2 | |||
| Maximum Drawdown | 9.3 | |||
| Value At Risk | (2.57) | |||
| Potential Upside | 3.61 | |||
| Downside Variance | 3.18 | |||
| Semi Variance | 2.17 | |||
| Expected Short fall | (1.69) | |||
| Skewness | 0.3228 | |||
| Kurtosis | 1.47 |
Schulz SA February 16, 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 Schulz 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 | 0.03 | ||
| Daily Balance Of Power | 0.44 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 5.47 | ||
| Day Typical Price | 5.50 | ||
| Price Action Indicator | 0.11 | ||
| Market Facilitation Index | 0.16 |
Additional Tools for Schulz Preferred Stock Analysis
When running Schulz SA's price analysis, check to measure Schulz SA'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 Schulz SA is operating at the current time. Most of Schulz SA's value examination focuses on studying past and present price action to predict the probability of Schulz SA's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Schulz SA's price. Additionally, you may evaluate how the addition of Schulz SA to your portfolios can decrease your overall portfolio volatility.