SBI Cards (India) Probability of Future Stock Price Finishing Under 683.29
| SBICARD Stock | 663.85 5.65 0.84% |
SBI |
SBI Cards Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of SBI Cards for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for SBI Cards can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| SBI Cards generated a negative expected return over the last 90 days | |
| SBI Cards generates negative cash flow from operations | |
| About 69.0% of the company outstanding shares are owned by corporate insiders |
SBI Cards Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of SBI Stock often depends not only on the future outlook of the current and potential SBI Cards' investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. SBI Cards' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 949.2 M | |
| Cash And Short Term Investments | 27.3 B |
SBI Cards Technical Analysis
SBI Cards' future price can be derived by breaking down and analyzing its technical indicators over time. SBI Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of SBI Cards and. In general, you should focus on analyzing SBI Stock price patterns and their correlations with different microeconomic environments and drivers.
SBI Cards Predictive Forecast Models
SBI Cards' time-series forecasting models is one of many SBI Cards' stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary SBI Cards' historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the stock market movement and maximize returns from investment trading.
Things to note about SBI Cards
Checking the ongoing alerts about SBI Cards for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for SBI Cards help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| SBI Cards generated a negative expected return over the last 90 days | |
| SBI Cards generates negative cash flow from operations | |
| About 69.0% of the company outstanding shares are owned by corporate insiders |
Other Information on Investing in SBI Stock
SBI Cards financial ratios help investors to determine whether SBI 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 SBI with respect to the benefits of owning SBI Cards security.