Schrodinger Stock Market Value

SDGR Stock  USD 20.37  1.20  6.26%   
Schrodinger's market value is the price at which a share of Schrodinger trades on a public exchange. It measures the collective expectations of Schrodinger investors about its performance. Schrodinger is selling at 20.37 as of the 22nd of November 2024; that is 6.26 percent increase since the beginning of the trading day. The stock's lowest day price was 18.84.
With this module, you can estimate the performance of a buy and hold strategy of Schrodinger and determine expected loss or profit from investing in Schrodinger over a given investment horizon. 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.
Symbol

Schrodinger Price To Book Ratio

Is Health Care Technology space 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
(2.45)
Revenue Per Share
2.668
Quarterly Revenue Growth
(0.17)
Return On Assets
(0.19)
Return On Equity
(0.35)
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.
0.00
10/23/2024
No Change 0.00  0.0 
In 31 days
11/22/2024
0.00
If you would invest  0.00  in Schrodinger on October 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 30 days. Schrodinger is related to or competes with Veeva Systems, Doximity, American Well, GE HealthCare, Teladoc, 10X Genomics, and Progyny. 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.

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.
Hype
Prediction
LowEstimatedHigh
16.9720.3823.79
Details
Intrinsic
Valuation
LowRealHigh
18.3328.3431.75
Details
Naive
Forecast
LowNextHigh
16.1519.5622.97
Details
11 Analysts
Consensus
LowTargetHigh
50.4555.4461.54
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Schrodinger. Your research has to be compared to or analyzed against Schrodinger's peers to derive any actionable benefits. When done correctly, Schrodinger's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Schrodinger.

Schrodinger Backtested Returns

Currently, Schrodinger is not too volatile. Schrodinger owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0059, which indicates the firm had a 0.0059% return per unit of risk over the last 3 months. We have found thirty technical indicators for Schrodinger, which you can use to evaluate the volatility of the company. Please validate Schrodinger's Coefficient Of Variation of 4380.37, semi deviation of 3.14, and Risk Adjusted Performance of 0.0252 to confirm if the risk estimate we provide is consistent with the expected return of 0.0201%. The entity has a beta of 1.51, 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 right now has a risk of 3.41%. Please validate Schrodinger downside variance, and the relationship between the sortino ratio and accumulation distribution , to decide if Schrodinger will be following its existing price patterns.

Auto-correlation

    
  0.56  

Modest predictability

Schrodinger has modest predictability. Overlapping area represents the amount of predictability between Schrodinger time series from 23rd of October 2024 to 7th of November 2024 and 7th of November 2024 to 22nd of November 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 0.56 indicates that roughly 56.0% of current Schrodinger price fluctuation can be explain by its past prices.
Correlation Coefficient0.56
Spearman Rank Test0.23
Residual Average0.0
Price Variance1.64

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  

Pair Trading with Schrodinger

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Schrodinger position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Schrodinger will appreciate offsetting losses from the drop in the long position's value.

Moving together with Schrodinger Stock

  0.66GH Guardant HealthPairCorr

Moving against Schrodinger Stock

  0.66DRIO DarioHealth CorpPairCorr
  0.33ELMD ElectromedPairCorr
The ability to find closely correlated positions to Schrodinger could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Schrodinger when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Schrodinger - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Schrodinger to buy it.
The correlation of Schrodinger is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Schrodinger moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Schrodinger moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Schrodinger can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

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.