Steelcase Stock Pattern Recognition Takuri Dragonfly Doji with very long lower shadow
SCS Stock | USD 13.01 0.07 0.54% |
Symbol |
Recognition |
The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was ten with a total number of output elements of fifty-one. The function did not return any valid pattern recognition events for the selected time horizon. Takuri (The Dragonfly Doji pattern signals indecision among Steelcase traders. The Dragonfly Doji with very long lower shadow pattern indicates that Steelcase direction of the trend may be nearing a major turning point.)
Steelcase Technical Analysis Modules
Most technical analysis of Steelcase 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 Steelcase from various momentum indicators to cycle indicators. When you analyze Steelcase charts, please remember that the event formation may indicate an entry point for a short seller, and look at 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 |
About Steelcase Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Steelcase. We use our internally-developed statistical techniques to arrive at the intrinsic value of Steelcase based on widely used predictive technical indicators. In general, we focus on analyzing Steelcase Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Steelcase's daily price indicators and compare them against related drivers, such as pattern recognition and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Steelcase's intrinsic value. In addition to deriving basic predictive indicators for Steelcase, we also check how macroeconomic factors affect Steelcase price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
2011 | 2013 | 2019 (projected) | Dividend Yield | 0.0261 | 0.0314 | 0.0326 | Price To Sales Ratio | 0.61 | 0.59 | 0.46 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Steelcase'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.
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Additional Tools for Steelcase Stock Analysis
When running Steelcase's price analysis, check to measure Steelcase'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 Steelcase is operating at the current time. Most of Steelcase's value examination focuses on studying past and present price action to predict the probability of Steelcase's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Steelcase's price. Additionally, you may evaluate how the addition of Steelcase to your portfolios can decrease your overall portfolio volatility.