Investors can use prediction functions to forecast Pak Agro's stock prices and determine the direction of Pak Agro Pack's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading. We recommend always using this module together with an analysis of Pak Agro's historical fundamentals, such as revenue growth or operating cash flow patterns. Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in nation.
Pak
Pak Agro Pack has current Day Typical Price of 8.25. Typical Price is calculated as arithmetic average of the high, low and closing price for a given trading period.
On December 11 2024 Pak Agro Pack was traded for 8.25 at the closing time. The highest price during the trading period was 8.25 and the lowest recorded bid was listed for 8.25 . There was no trading activity during the period 0.0. Lack of trading volume on December 11, 2024 did not cause price change. The trading delta at closing time to the current price is 0.00% .
The period considered in calculating typical price is a single trading day, however the typical price can also be applied to other time spans such as a week, month or year.
For every potential investor in Pak, whether a beginner or expert, Pak Agro's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Pak Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Pak. Basic forecasting techniques help filter out the noise by identifying Pak Agro's price trends.
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 Pak Agro stock to make a market-neutral strategy. Peer analysis of Pak Agro could also be used in its relative valuation, which is a method of valuing Pak Agro by comparing valuation metrics with similar companies.
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 Pak Agro's 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 Pak Agro's current price.
Market strength indicators help investors to evaluate how Pak Agro stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Pak Agro shares will generate the highest return on investment. By undertsting and applying Pak Agro stock market strength indicators, traders can identify Pak Agro Pack entry and exit signals to maximize returns.
The analysis of Pak Agro's 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 Pak Agro's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting pak 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.
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 Pak Agro
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 Pak Agro 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 Pak Agro will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Pak Agro could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Pak Agro 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 Pak Agro - 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 Pak Agro Pack to buy it.
The correlation of Pak Agro 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 Pak Agro moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Pak Agro Pack 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 Pak Agro 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.