Spuntech (Israel) Pattern Recognition Spinning Top
| SPNTC Stock | ILS 401.30 92.60 18.75% |
| Symbol |
Recognition |
The output start index for this execution was ten with a total number of output elements of fifty-one. The function generated a total of two valid pattern recognition events for the selected time horizon. The Spinning Top pattern Reversal/Continuation pattern describes Spuntech neutral movement and is used to signal indecision about the future direction of Spuntech.
Spuntech Technical Analysis Modules
Most technical analysis of Spuntech 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 Spuntech from various momentum indicators to cycle indicators. When you analyze Spuntech 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 Spuntech 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 Spuntech. We use our internally-developed statistical techniques to arrive at the intrinsic value of Spuntech based on widely used predictive technical indicators. In general, we focus on analyzing Spuntech Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Spuntech'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 Spuntech's intrinsic value. In addition to deriving basic predictive indicators for Spuntech, we also check how macroeconomic factors affect Spuntech price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Spuntech'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.
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 Spuntech Stock Analysis
When running Spuntech's price analysis, check to measure Spuntech'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 Spuntech is operating at the current time. Most of Spuntech's value examination focuses on studying past and present price action to predict the probability of Spuntech's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Spuntech's price. Additionally, you may evaluate how the addition of Spuntech to your portfolios can decrease your overall portfolio volatility.