Forrester Research Stock Pattern Recognition Kicking bull or bear determined by the longer marubozu
| FORR Stock | USD 16.24 0.20 1.22% |
| 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 eleven with a total number of output elements of fifty. The function did not return any valid pattern recognition events for the selected time horizon. The Kicking - bull/bear determined by the longer marubozu is one of the most powerful patterns that may predict Forrester Research bearish trend reversal.
Forrester Research Technical Analysis Modules
Most technical analysis of Forrester Research 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 Forrester from various momentum indicators to cycle indicators. When you analyze Forrester 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 Forrester Research 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 Forrester Research. We use our internally-developed statistical techniques to arrive at the intrinsic value of Forrester Research based on widely used predictive technical indicators. In general, we focus on analyzing Forrester Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Forrester Research'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 Forrester Research's intrinsic value. In addition to deriving basic predictive indicators for Forrester Research, we also check how macroeconomic factors affect Forrester Research price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2023 | 2024 (projected) | Dividend Yield | 0.0206 | 0.0287 | Price To Sales Ratio | 1.07 | 1.02 |
Be your own money manager
As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.Generate Optimal Portfolios
Align your risk and return expectations
Additional Tools for Forrester Stock Analysis
When running Forrester Research's price analysis, check to measure Forrester Research'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 Forrester Research is operating at the current time. Most of Forrester Research's value examination focuses on studying past and present price action to predict the probability of Forrester Research's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Forrester Research's price. Additionally, you may evaluate how the addition of Forrester Research to your portfolios can decrease your overall portfolio volatility.