Investors can use prediction functions to forecast COMA 18's stock prices and determine the direction of COMA 18 JSC'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 COMA 18's historical fundamentals, such as revenue growth or operating cash flow patterns. Check out Trending Equities 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 board of governors.
COMA
COMA 18 JSC has current Day Typical Price of 8963.33. Typical Price is calculated as arithmetic average of the high, low and closing price for a given trading period.
On December 01 2024 COMA 18 JSC was traded for 9,070 at the closing time. The maximum traded price for the trading interval was 9,140 and the lowest daily price was 8,680 . There was no trading activity during the period 0.0. Lack of trading volume on 1st of December 2024 did not affect price variability. The overall trading delta to the closing price today is 0.77% .
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 COMA, whether a beginner or expert, COMA 18's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. COMA Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in COMA. Basic forecasting techniques help filter out the noise by identifying COMA 18'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 COMA 18 stock to make a market-neutral strategy. Peer analysis of COMA 18 could also be used in its relative valuation, which is a method of valuing COMA 18 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 COMA 18'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 COMA 18's current price.
Market strength indicators help investors to evaluate how COMA 18 stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading COMA 18 shares will generate the highest return on investment. By undertsting and applying COMA 18 stock market strength indicators, traders can identify COMA 18 JSC entry and exit signals to maximize returns.
The analysis of COMA 18'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 COMA 18's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting coma 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 COMA 18
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 COMA 18 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 COMA 18 will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to COMA 18 could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace COMA 18 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 COMA 18 - 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 COMA 18 JSC to buy it.
The correlation of COMA 18 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 COMA 18 moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if COMA 18 JSC 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 COMA 18 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.