Investors can use prediction functions to forecast CPC's stock prices and determine the direction of CPC'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 CPC'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.
CPC
On October 14, 2024 CPC had Daily Balance Of Power of (1.00). Balance of Power indicator (or BOP) measures the strength of CPC market sensitivity to bulls and bears. It estimates the ability of CPC buyers and sellers to push price to an extreme high or extreme low level. As a result, by monitoring CPC Balance of Power indicator one can determine a trend of the price direction.
On October 16 2024 CPC was traded for 18,200 at the closing time. The maximum traded price for the trading interval was 18,200 and the lowest daily price was 18,000 . The daily volume was recorded at 500. The volume of trading on 16th of October 2024 played a part in the next trading day price boost. The overall trading delta to the next closing price was 2.82% . The overall trading delta to the closing price today is 2.26% .
Balance of Power indicator was created by Igor Livshin to predict asset short term price movements or warning signals. If Balance of Power indicator is trended towards the high of its range it will signify that the bulls are in control. On the other hand when the BOP indicator is moving towards the lows of its range it signifies that the bears are in control. If the indicator move from a high positive range to a lower positive range it signifies that the buying pressure is decreasing. Conversely, if the indicator move from a low negative range to a higher negative range it signifies that the selling pressure is decreasing.
For every potential investor in CPC, whether a beginner or expert, CPC's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. CPC Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in CPC. Basic forecasting techniques help filter out the noise by identifying CPC'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 CPC stock to make a market-neutral strategy. Peer analysis of CPC could also be used in its relative valuation, which is a method of valuing CPC 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 CPC'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 CPC's current price.
Market strength indicators help investors to evaluate how CPC stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading CPC shares will generate the highest return on investment. By undertsting and applying CPC stock market strength indicators, traders can identify CPC entry and exit signals to maximize returns.
The analysis of CPC'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 CPC's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting cpc 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 CPC
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 CPC 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 CPC will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to CPC could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace CPC 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 CPC - 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 CPC to buy it.
The correlation of CPC 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 CPC moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if CPC 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 CPC 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.