Smartsheet Stock Overlap Studies Simple Moving Average
SMAR Stock | USD 55.95 0.05 0.09% |
Symbol |
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Simple Moving Average indicator is calculated by adding the closing price of Smartsheet for a given number of time periods and then dividing this total by the number of time periods. It is used to smooth out Smartsheet short-term fluctuations and highlight longer-term trends or cycles.
Smartsheet Technical Analysis Modules
Most technical analysis of Smartsheet 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 Smartsheet from various momentum indicators to cycle indicators. When you analyze Smartsheet 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 Smartsheet 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 Smartsheet. We use our internally-developed statistical techniques to arrive at the intrinsic value of Smartsheet based on widely used predictive technical indicators. In general, we focus on analyzing Smartsheet Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Smartsheet's daily price indicators and compare them against related drivers, such as overlap studies 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 Smartsheet's intrinsic value. In addition to deriving basic predictive indicators for Smartsheet, we also check how macroeconomic factors affect Smartsheet price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
2021 | 2022 | 2023 | 2024 (projected) | Days Sales Outstanding | 100.15 | 94.54 | 90.92 | 55.36 | PTB Ratio | 15.49 | 11.57 | 9.98 | 9.48 |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Smartsheet in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Smartsheet's short interest history, or implied volatility extrapolated from Smartsheet options trading.
Trending Themes
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Additional Tools for Smartsheet Stock Analysis
When running Smartsheet's price analysis, check to measure Smartsheet'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 Smartsheet is operating at the current time. Most of Smartsheet's value examination focuses on studying past and present price action to predict the probability of Smartsheet's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Smartsheet's price. Additionally, you may evaluate how the addition of Smartsheet to your portfolios can decrease your overall portfolio volatility.