Scientific Games (Germany) Technical Analysis
TJW Stock | EUR 83.50 0.50 0.60% |
As of the 20th of July, Scientific Games has the Coefficient Of Variation of 1046.46, risk adjusted performance of 0.0963, and Semi Deviation of 3.08. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Scientific Games, as well as the relationship between them. Please validate Scientific Games maximum drawdown, semi variance, and the relationship between the jensen alpha and potential upside to decide if Scientific Games is priced more or less accurately, providing market reflects its prevalent price of 83.5 per share.
Scientific Games Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Scientific, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ScientificScientific |
Scientific Games 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.
Scientific Games Technical Analysis
The output start index for this execution was fourteen with a total number of output elements of fourty-seven. The Normalized Average True Range is used to analyze tradable apportunities for Scientific Games across different markets.
Scientific Games Trend Analysis
Use this graph to draw trend lines for Scientific Games. You can use it to identify possible trend reversals for Scientific Games 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 Scientific Games price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Scientific Games Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Scientific Games applied against its price change over selected period. The best fit line has a slop of 0.13 , which means Scientific Games will continue generating value for investors. It has 122 observation points and a regression sum of squares at 680.74, which is the sum of squared deviations for the predicted Scientific Games price change compared to its average price change.About Scientific Games 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 Scientific Games 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 Scientific Games based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Scientific Games price pattern first instead of the macroeconomic environment surrounding Scientific Games. By analyzing Scientific Games'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 Scientific Games'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 Scientific Games specific price patterns or momentum indicators. Please read more on our technical analysis page.
Scientific Games July 20, 2025 Technical Indicators
Most technical analysis of Scientific 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 Scientific from various momentum indicators to cycle indicators. When you analyze Scientific 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 | 0.0963 | |||
Market Risk Adjusted Performance | (2.18) | |||
Mean Deviation | 2.38 | |||
Semi Deviation | 3.08 | |||
Downside Deviation | 3.25 | |||
Coefficient Of Variation | 1046.46 | |||
Standard Deviation | 3.22 | |||
Variance | 10.36 | |||
Information Ratio | 0.0518 | |||
Jensen Alpha | 0.3153 | |||
Total Risk Alpha | (0.15) | |||
Sortino Ratio | 0.0513 | |||
Treynor Ratio | (2.19) | |||
Maximum Drawdown | 16.34 | |||
Value At Risk | (5.77) | |||
Potential Upside | 6.02 | |||
Downside Variance | 10.55 | |||
Semi Variance | 9.51 | |||
Expected Short fall | (2.49) | |||
Skewness | 0.111 | |||
Kurtosis | 0.8515 |
Scientific Games July 20, 2025 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 Scientific 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 | 1.01 | ||
Day Median Price | 83.50 | ||
Day Typical Price | 83.50 | ||
Price Action Indicator | 0.25 |
Complementary Tools for Scientific Stock analysis
When running Scientific Games' price analysis, check to measure Scientific Games' 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 Scientific Games is operating at the current time. Most of Scientific Games' value examination focuses on studying past and present price action to predict the probability of Scientific Games' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Scientific Games' price. Additionally, you may evaluate how the addition of Scientific Games to your portfolios can decrease your overall portfolio volatility.
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