Packages Stock Forecast - Day Median Price
| PKGS Stock | 567.99 2.93 0.52% |
Packages Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Packages stock prices and determine the direction of Packages's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Packages' historical fundamentals, such as revenue growth or operating cash flow patterns.
Packages |
| Previous Day Median Price | Day Median Price | Trend |
| 564.0 | 564.0 |
| Check Packages Volatility | Backtest Packages | Information Ratio |
Packages Trading Date Momentum
| On November 26 2024 Packages was traded for 567.99 at the closing time. The highest price during the trading period was 568.00 and the lowest recorded bid was listed for 560.00 . There was no trading activity during the period 0.0. Lack of trading volume on November 26, 2024 did not cause price change. The trading delta at closing time to the current price is 1.41% . |
The median price is the midpoint of the trading periods range.
| Compare Packages to competition |
Other Forecasting Options for Packages
For every potential investor in Packages, whether a beginner or expert, Packages' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Packages Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Packages. Basic forecasting techniques help filter out the noise by identifying Packages' price trends.Packages Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Packages stock to make a market-neutral strategy. Peer analysis of Packages could also be used in its relative valuation, which is a method of valuing Packages by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Packages Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Packages' price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Packages' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Packages Market Strength Events
Market strength indicators help investors to evaluate how Packages stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Packages shares will generate the highest return on investment. By undertsting and applying Packages stock market strength indicators, traders can identify Packages entry and exit signals to maximize returns.
Packages Risk Indicators
The analysis of Packages' basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Packages' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting packages stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 1.98 | |||
| Semi Deviation | 1.74 | |||
| Standard Deviation | 2.63 | |||
| Variance | 6.93 | |||
| Downside Variance | 3.89 | |||
| Semi Variance | 3.01 | |||
| Expected Short fall | (2.45) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Pair Trading with Packages
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Packages position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Packages will appreciate offsetting losses from the drop in the long position's value.Moving together with Packages Stock
The ability to find closely correlated positions to Packages could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Packages when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Packages - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Packages to buy it.
The correlation of Packages is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Packages moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Packages moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Packages can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Other Information on Investing in Packages Stock
Packages financial ratios help investors to determine whether Packages 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 Packages with respect to the benefits of owning Packages security.