Soneri Bank (Pakistan) Analysis
| SNBL Stock | 18.30 0.14 0.77% |
Soneri Bank is undervalued with Real Value of 20.49 and Hype Value of 18.3. The main objective of Soneri Bank stock analysis is to determine its intrinsic value, which is an estimate of what Soneri Bank is worth, separate from its market price. There are two main types of Soneri Bank's stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect Soneri Bank's performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of Soneri Bank's stock to identify patterns and trends that may indicate its future price movements.
The Soneri Bank 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. Here, you can get updates on important government artifacts, including earning estimates, SEC corporate filings, announcements, and Soneri Bank's ongoing operational relationships across important fundamental and technical indicators.
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Soneri Bank Thematic Classifications
In addition to having Soneri Bank 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.
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Technical Drivers
As of the 31st of January, Soneri Bank has the Coefficient Of Variation of 535.99, semi deviation of 1.16, and Risk Adjusted Performance of 0.1621. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Soneri Bank, as well as the relationship between them.Soneri Bank Price Movement Analysis
The output start index for this execution was thirty-five with a total number of output elements of twenty-six. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Soneri Bank middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for Soneri Bank. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
Soneri Bank Outstanding Bonds
Soneri Bank 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. Soneri Bank 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 Soneri bonds can be classified according to their maturity, which is the date when Soneri Bank 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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Soneri Bank Predictive Daily Indicators
Soneri Bank 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 Soneri Bank 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.
Soneri Bank Forecast Models
Soneri Bank's time-series forecasting models are one of many Soneri Bank's 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 Soneri Bank's 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 Soneri Bank to your portfolios without increasing risk or reducing expected return.Did you try this?
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Complementary Tools for Soneri Stock analysis
When running Soneri Bank's price analysis, check to measure Soneri Bank'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 Soneri Bank is operating at the current time. Most of Soneri Bank's value examination focuses on studying past and present price action to predict the probability of Soneri Bank's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Soneri Bank's price. Additionally, you may evaluate how the addition of Soneri Bank to your portfolios can decrease your overall portfolio volatility.
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