Schrodinger Stock Market Value
| SDGR Stock | USD 24.81 0.32 1.31% |
| Symbol | Schrodinger |
Schrodinger Price To Book Ratio
Is Schrodinger's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Schrodinger. If investors know Schrodinger will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Schrodinger listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share 0.54 | Revenue Per Share 3.019 | Quarterly Revenue Growth 0.304 | Return On Assets (0.15) | Return On Equity 0.0817 |
The market value of Schrodinger is measured differently than its book value, which is the value of Schrodinger that is recorded on the company's balance sheet. Investors also form their own opinion of Schrodinger's value that differs from its market value or its book value, called intrinsic value, which is Schrodinger's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Schrodinger's market value can be influenced by many factors that don't directly affect Schrodinger's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Schrodinger's value and its price as these two are different measures arrived at by different means. Investors typically determine if Schrodinger is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Schrodinger's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Schrodinger 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Schrodinger's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Schrodinger.
| 02/23/2024 |
| 04/23/2024 |
If you would invest 0.00 in Schrodinger on February 23, 2024 and sell it all today you would earn a total of 0.00 from holding Schrodinger or generate 0.0% return on investment in Schrodinger over 60 days. Schrodinger is related to or competes with National Research, Privia Health, Forian, and HealthEquity. Schrdinger, Inc., together with its subsidiaries, provides physics-based software platform that enables discovery of nov... More
Schrodinger Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Schrodinger's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Schrodinger upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 28.27 | |||
| Value At Risk | (5.20) | |||
| Potential Upside | 5.3 |
Schrodinger Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Schrodinger's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Schrodinger's standard deviation. In reality, there are many statistical measures that can use Schrodinger historical prices to predict the future Schrodinger's volatility.| Risk Adjusted Performance | 0.0083 | |||
| Jensen Alpha | (0.25) | |||
| Total Risk Alpha | (0.54) | |||
| Treynor Ratio | (0) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Schrodinger'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.
Schrodinger Backtested Returns
Schrodinger owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0173, which indicates the firm had a -0.0173% return per unit of risk over the last 3 months. Schrodinger exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Schrodinger's Variance of 17.17, risk adjusted performance of 0.0083, and Coefficient Of Variation of (259,724) to confirm the risk estimate we provide. The entity has a beta of 3.07, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Schrodinger will likely underperform. Schrodinger has an expected return of -0.0729%. Please make sure to validate Schrodinger value at risk, as well as the relationship between the daily balance of power and period momentum indicator , to decide if Schrodinger performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.14 |
Insignificant predictability
Schrodinger has insignificant predictability. Overlapping area represents the amount of predictability between Schrodinger time series from 23rd of February 2024 to 24th of March 2024 and 24th of March 2024 to 23rd of April 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Schrodinger price movement. The serial correlation of 0.14 indicates that less than 14.0% of current Schrodinger price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.14 | |
| Spearman Rank Test | -0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 1.39 |
Schrodinger lagged returns against current returns
Autocorrelation, which is Schrodinger stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Schrodinger's stock expected returns. We can calculate the autocorrelation of Schrodinger returns to help us make a trade decision. For example, suppose you find that Schrodinger has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Schrodinger regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Schrodinger stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Schrodinger stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Schrodinger stock over time.
Current vs Lagged Prices |
| Timeline |
Schrodinger Lagged Returns
When evaluating Schrodinger's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Schrodinger stock have on its future price. Schrodinger autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Schrodinger autocorrelation shows the relationship between Schrodinger stock current value and its past values and can show if there is a momentum factor associated with investing in Schrodinger.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether Schrodinger is a strong investment it is important to analyze Schrodinger's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Schrodinger's future performance. For an informed investment choice regarding Schrodinger Stock, refer to the following important reports:Check out Schrodinger Correlation, Schrodinger Volatility and Schrodinger Alpha and Beta module to complement your research on Schrodinger. To learn how to invest in Schrodinger Stock, please use our How to Invest in Schrodinger guide.Note that the Schrodinger information on this page should be used as a complementary analysis to other Schrodinger's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.
Complementary 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.
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Schrodinger technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.