R S's market value is the price at which a share of R S trades on a public exchange. It measures the collective expectations of R S Software investors about its performance. R S is selling for under 88.01 as of the 23rd of July 2025; that is 2 percent decrease since the beginning of the trading day. The stock's lowest day price was 88.01. With this module, you can estimate the performance of a buy and hold strategy of R S Software and determine expected loss or profit from investing in R S over a given investment horizon. Check out R S Correlation, R S Volatility and R S Alpha and Beta module to complement your research on R S.
Please note, there is a significant difference between R S's value and its price as these two are different measures arrived at by different means. Investors typically determine if R S is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, R S'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.
R S '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 R S'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 R S.
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04/24/2025
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In 3 months and 1 day
07/23/2025
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If you would invest 0.00 in R S on April 24, 2025 and sell it all today you would earn a total of 0.00 from holding R S Software or generate 0.0% return on investment in R S over 90 days. R S is related to or competes with State Bank, Life Insurance, HDFC Bank, ICICI Bank, Reliance Industries, and Bank of Baroda. R S is entity of India. It is traded as Stock on NSE exchange. More
R S 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 R S'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 R S Software upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for R S's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as R S's standard deviation. In reality, there are many statistical measures that can use R S historical prices to predict the future R S's volatility.
Please note, it is not enough to conduct a financial or market analysis of a single entity such as R S. Your research has to be compared to or analyzed against R S's peers to derive any actionable benefits. When done correctly, R S'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 R S Software.
R S Software Backtested Returns
R S appears to be very steady, given 3 months investment horizon. R S Software maintains Sharpe Ratio (i.e., Efficiency) of 0.16, which implies the company had a 0.16 % return per unit of standard deviation over the last 3 months. We have found twenty-eight technical indicators for R S Software, which you can use to evaluate the volatility of the entity. Please evaluate R S's Coefficient Of Variation of 618.09, mean deviation of 2.2, and Market Risk Adjusted Performance of 3.54 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, R S holds a performance score of 12. The firm holds a Beta of 0.12, which implies not very significant fluctuations relative to the market. As returns on the market increase, R S's returns are expected to increase less than the market. However, during the bear market, the loss of holding R S is expected to be smaller as well. Please check R S's potential upside, as well as the relationship between the kurtosis and price action indicator , to make a quick decision on whether R S's historical price patterns will revert.
Auto-correlation
-0.41
Modest reverse predictability
R S Software has modest reverse predictability. Overlapping area represents the amount of predictability between R S time series from 24th of April 2025 to 8th of June 2025 and 8th of June 2025 to 23rd of July 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of R S Software price movement. The serial correlation of -0.41 indicates that just about 41.0% of current R S price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.41
Spearman Rank Test
-0.36
Residual Average
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Price Variance
92.39
R S Software lagged returns against current returns
Autocorrelation, which is R S 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 R S's stock expected returns. We can calculate the autocorrelation of R S returns to help us make a trade decision. For example, suppose you find that R S 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
R S 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 R S stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if R S stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in R S stock over time.
Current vs Lagged Prices
Timeline
R S Lagged Returns
When evaluating R S's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of R S stock have on its future price. R S 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, R S autocorrelation shows the relationship between R S stock current value and its past values and can show if there is a momentum factor associated with investing in R S Software.
Regressed Prices
Timeline
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
When running R S's price analysis, check to measure R S'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 R S is operating at the current time. Most of R S's value examination focuses on studying past and present price action to predict the probability of R S's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move R S's price. Additionally, you may evaluate how the addition of R S to your portfolios can decrease your overall portfolio volatility.