Schrodinger Stock Statistic Functions Linear Regression
| SDGR Stock | USD 20.84 0.47 2.31% |
| Symbol |
The output start index for this execution was thirty-five with a total number of output elements of twenty-six. The Linear Regression model generates relationship between price series of Schrodinger and its peer or benchmark and helps predict Schrodinger future price from its past values.
Schrodinger Technical Analysis Modules
Most technical analysis of Schrodinger 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 Schrodinger from various momentum indicators to cycle indicators. When you analyze Schrodinger 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 Schrodinger 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 Schrodinger. We use our internally-developed statistical techniques to arrive at the intrinsic value of Schrodinger based on widely used predictive technical indicators. In general, we focus on analyzing Schrodinger Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Schrodinger's daily price indicators and compare them against related drivers, such as statistic functions 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 Schrodinger's intrinsic value. In addition to deriving basic predictive indicators for Schrodinger, we also check how macroeconomic factors affect Schrodinger 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) | Graham Number | 15.96 | 17.23 | 9.88 | 7.38 | Receivables Turnover | 3.4 | 2.62 | 2.43 | 3.81 |
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 Schrodinger 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, Schrodinger's short interest history, or implied volatility extrapolated from Schrodinger options trading.
Trending Themes
If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment. | Gambling Invested over 90 shares | |
 | Macroaxis Index Invested few shares | |
 | FinTech Invested over 60 shares | |
 | Impulse Invested over 100 shares | |
 | Banking Invested over 20 shares | |
 | Cash Cows Invested few shares | |
 | Momentum Invested few shares | |
 | Manufacturing Invested over 30 shares | |
 | Warren Buffett Holdings Invested over 60 shares | |
Additional Tools for Schrodinger Stock Analysis
When running Schrodinger's price analysis, check to measure Schrodinger'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 Schrodinger is operating at the current time. Most of Schrodinger's value examination focuses on studying past and present price action to predict the probability of Schrodinger's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Schrodinger's price. Additionally, you may evaluate how the addition of Schrodinger to your portfolios can decrease your overall portfolio volatility.