AfriTin Mining (UK) Statistic Functions Linear Regression Intercept
| ATM Stock | 2.30 0.15 6.12% |
| Symbol |
The output start index for this execution was three with a total number of output elements of fifty-eight. The Linear Regression Intercept is the expected mean value of AfriTin Mining price seriese where values of its benchmark or peer price series are zero.
AfriTin Mining Technical Analysis Modules
Most technical analysis of AfriTin Mining help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for AfriTin from various momentum indicators to cycle indicators. When you analyze AfriTin charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About AfriTin Mining Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of AfriTin Mining. We use our internally-developed statistical techniques to arrive at the intrinsic value of AfriTin Mining based on widely used predictive technical indicators. In general, we focus on analyzing AfriTin Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build AfriTin Mining's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of AfriTin Mining's intrinsic value. In addition to deriving basic predictive indicators for AfriTin Mining, we also check how macroeconomic factors affect AfriTin Mining price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Learn to be your own money manager
As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.Did you try this?
Run AI Portfolio Architect Now
AI Portfolio ArchitectUse AI to generate optimal portfolios and find profitable investment opportunities |
| All Next | Launch Module |
AfriTin Mining pair trading
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 AfriTin Mining 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 AfriTin Mining will appreciate offsetting losses from the drop in the long position's value.AfriTin Mining Pair Trading
AfriTin Mining Pair Trading Analysis
The ability to find closely correlated positions to AfriTin Mining could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace AfriTin Mining 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 AfriTin Mining - 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 AfriTin Mining to buy it.
The correlation of AfriTin Mining 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 AfriTin Mining moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if AfriTin Mining 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 AfriTin Mining 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 AfriTin Stock
AfriTin Mining financial ratios help investors to determine whether AfriTin 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 AfriTin with respect to the benefits of owning AfriTin Mining security.