Reliable Data (India) Market Value
| RELIABLE | 73.22 0.40 0.55% |
| Symbol | Reliable |
Reliable Data '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 Reliable Data'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 Reliable Data.
| 04/28/2025 |
| 07/27/2025 |
If you would invest 0.00 in Reliable Data on April 28, 2025 and sell it all today you would earn a total of 0.00 from holding Reliable Data Services or generate 0.0% return on investment in Reliable Data over 90 days. Reliable Data is related to or competes with Cantabil Retail, Music Broadcast, Transport, VIP Clothing, CREDITACCESS GRAMEEN, Lorenzini Apparels, and Kewal Kiran. Reliable Data is entity of India. It is traded as Stock on NSE exchange. More
Reliable Data 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 Reliable Data'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 Reliable Data Services upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.02 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 11.55 | |||
| Value At Risk | (2.98) | |||
| Potential Upside | 4.88 |
Reliable Data Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Reliable Data's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Reliable Data's standard deviation. In reality, there are many statistical measures that can use Reliable Data historical prices to predict the future Reliable Data's volatility.| Risk Adjusted Performance | 0.027 | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.55) | |||
| Sortino Ratio | (0.07) | |||
| Treynor Ratio | 0.0897 |
Reliable Data Services Backtested Returns
As of now, Reliable Stock is very steady. Reliable Data Services maintains Sharpe Ratio (i.e., Efficiency) of 0.0415, which implies the firm had a 0.0415 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Reliable Data Services, which you can use to evaluate the volatility of the company. Please check Reliable Data's Risk Adjusted Performance of 0.027, semi deviation of 1.89, and Coefficient Of Variation of 3820.31 to confirm if the risk estimate we provide is consistent with the expected return of 0.0962%. Reliable Data has a performance score of 3 on a scale of 0 to 100. The company holds a Beta of 0.56, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Reliable Data's returns are expected to increase less than the market. However, during the bear market, the loss of holding Reliable Data is expected to be smaller as well. Reliable Data Services right now holds a risk of 2.32%. Please check Reliable Data Services semi variance, rate of daily change, and the relationship between the value at risk and kurtosis , to decide if Reliable Data Services will be following its historical price patterns.
Auto-correlation | -0.77 |
Almost perfect reverse predictability
Reliable Data Services has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Reliable Data time series from 28th of April 2025 to 12th of June 2025 and 12th of June 2025 to 27th 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 Reliable Data Services price movement. The serial correlation of -0.77 indicates that around 77.0% of current Reliable Data price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.77 | |
| Spearman Rank Test | -0.65 | |
| Residual Average | 0.0 | |
| Price Variance | 2.8 |
Reliable Data Services lagged returns against current returns
Autocorrelation, which is Reliable Data 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 Reliable Data's stock expected returns. We can calculate the autocorrelation of Reliable Data returns to help us make a trade decision. For example, suppose you find that Reliable Data 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 |
Reliable Data 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 Reliable Data stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Reliable Data stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Reliable Data stock over time.
Current vs Lagged Prices |
| Timeline |
Reliable Data Lagged Returns
When evaluating Reliable Data's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Reliable Data stock have on its future price. Reliable Data 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, Reliable Data autocorrelation shows the relationship between Reliable Data stock current value and its past values and can show if there is a momentum factor associated with investing in Reliable Data Services.
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.Other Information on Investing in Reliable Stock
Reliable Data financial ratios help investors to determine whether Reliable Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Reliable with respect to the benefits of owning Reliable Data security.