SPS Commerce (Germany) Technical Analysis
| S86 Stock | 177.00 10.00 5.35% |
As of the 31st of January, SPS Commerce has the coefficient of variation of 6520.87, and Risk Adjusted Performance of 0.0193. Compared to fundamental indicators, the technical analysis model makes it possible for you to check available technical drivers of SPS Commerce, as well as the relationship between them.
SPS Commerce Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SPS, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SPSSPS |
SPS Commerce 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.
SPS Commerce Technical Analysis
The output start index for this execution was fourty-five with a total number of output elements of sixteen. 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 SPS Commerce volatility. High ATR values indicate high volatility, and low values indicate low volatility.
SPS Commerce Trend Analysis
Use this graph to draw trend lines for SPS Commerce. You can use it to identify possible trend reversals for SPS Commerce as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual SPS Commerce price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.SPS Commerce Best Fit Change Line
The following chart estimates an ordinary least squares regression model for SPS Commerce applied against its price change over selected period. The best fit line has a slop of 0.27 , which means SPS Commerce will continue generating value for investors. It has 122 observation points and a regression sum of squares at 2787.73, which is the sum of squared deviations for the predicted SPS Commerce price change compared to its average price change.About SPS Commerce 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 SPS Commerce 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 SPS Commerce based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on SPS Commerce price pattern first instead of the macroeconomic environment surrounding SPS Commerce. By analyzing SPS Commerce'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 SPS Commerce'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 SPS Commerce specific price patterns or momentum indicators. Please read more on our technical analysis page.
SPS Commerce January 31, 2025 Technical Indicators
Most technical analysis of SPS 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 SPS from various momentum indicators to cycle indicators. When you analyze SPS 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 | 0.0193 | |||
| Market Risk Adjusted Performance | 0.0636 | |||
| Mean Deviation | 1.44 | |||
| Semi Deviation | 2.21 | |||
| Downside Deviation | 2.82 | |||
| Coefficient Of Variation | 6520.87 | |||
| Standard Deviation | 2.37 | |||
| Variance | 5.61 | |||
| Information Ratio | (0.03) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.23) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0536 | |||
| Maximum Drawdown | 12.29 | |||
| Value At Risk | (2.78) | |||
| Potential Upside | 2.25 | |||
| Downside Variance | 7.93 | |||
| Semi Variance | 4.89 | |||
| Expected Short fall | (1.73) | |||
| Skewness | (0.12) | |||
| Kurtosis | 6.91 |
Additional Tools for SPS Stock Analysis
When running SPS Commerce's price analysis, check to measure SPS Commerce'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 SPS Commerce is operating at the current time. Most of SPS Commerce's value examination focuses on studying past and present price action to predict the probability of SPS Commerce's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SPS Commerce's price. Additionally, you may evaluate how the addition of SPS Commerce to your portfolios can decrease your overall portfolio volatility.