Roshan Packages (Pakistan) Analysis
| RPL Stock | 20.99 0.10 0.47% |
Roshan Packages is undervalued with Real Value of 23.36 and Hype Value of 21.09. The main objective of Roshan Packages stock analysis is to determine its intrinsic value, which is an estimate of what Roshan Packages is worth, separate from its market price. There are two main types of Roshan Packages' stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect Roshan Packages' performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of Roshan Packages' stock to identify patterns and trends that may indicate its future price movements.
The Roshan Packages stock is traded in Pakistan on Karachi Stock Exchange, with the market opening at 09:30:00 and closing at 15:30:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in Pakistan. Roshan Stock trading window is adjusted to Asia/Karachi timezone.
Roshan |
Roshan Packages Investment Alerts
| Roshan Packages appears to be risky and price may revert if volatility continues |
Roshan Packages Thematic Classifications
In addition to having Roshan Packages stock in your portfolios, you can add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your favorite investment opportunity, you can then obtain an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility. If you are a result-oriented investor, you can benefit from optimizing one of our existing themes to build an efficient portfolio against your specific investing outlook.
 | Processed FoodsProcessed food products and food packaging |
Technical Drivers
As of the 23rd of July, Roshan Packages holds the Risk Adjusted Performance of 0.1552, semi deviation of 2.1, and Coefficient Of Variation of 610.78. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Roshan Packages, as well as the relationship between them. Please check Roshan Packages treynor ratio, downside variance, kurtosis, as well as the relationship between the value at risk and expected short fall to decide if Roshan Packages is priced some-what accurately, providing market reflects its current price of 20.99 per share.Roshan Packages Price Movement Analysis
The output start index for this execution was thirty-two with a total number of output elements of twenty-nine. The MESA Adaptive Moving Average indicator adapts to Roshan Packages price movement based on the rate change of phase as measured by the Hilbert Transform Discriminator.
Roshan Packages Outstanding Bonds
Roshan Packages issues bonds to finance its operations. Corporate bonds make up one of the largest components of the U.S. bond market, which is considered the world's largest securities market. Roshan Packages uses the proceeds from bond sales for a wide variety of purposes, including financing ongoing mergers and acquisitions, buying new equipment, investing in research and development, buying back their own stock, paying dividends to shareholders, and even refinancing existing debt. Most Roshan bonds can be classified according to their maturity, which is the date when Roshan Packages has to pay back the principal to investors. Maturities can be short-term, medium-term, or long-term (more than ten years). Longer-term bonds usually offer higher interest rates but may entail additional risks.
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Roshan Packages Predictive Daily Indicators
Roshan Packages intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of Roshan Packages stock daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.
Roshan Packages Forecast Models
Roshan Packages' time-series forecasting models are one of many Roshan Packages' stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae 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. These non-stationary Roshan Packages' 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 market movement and maximize returns from investment trading.Be your own money manager
As an investor, your ultimate goal is to build wealth. Optimizing your investment portfolio is an essential element in this goal. Using our stock analysis tools, you can find out how much better you can do when adding Roshan Packages to your portfolios without increasing risk or reducing expected return.Did you try this?
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Additional Tools for Roshan Stock Analysis
When running Roshan Packages' price analysis, check to measure Roshan Packages' 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 Roshan Packages is operating at the current time. Most of Roshan Packages' value examination focuses on studying past and present price action to predict the probability of Roshan Packages' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Roshan Packages' price. Additionally, you may evaluate how the addition of Roshan Packages to your portfolios can decrease your overall portfolio volatility.