JSE statistic functions tool provides the execution environment for running the Linear Regression Slope function and other technical functions against JSE. JSE value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of statistic functions indicators. As with most other technical indicators, the Linear Regression Slope function function is designed to identify and follow existing trends. JSE statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Linear Regression Slope is the rate of change in JSE Limited price series over its benchmark or peer price series.
JSE Technical Analysis Modules
Most technical analysis of JSE 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 JSE from various momentum indicators to cycle indicators. When you analyze JSE 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.
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 JSE Limited. We use our internally-developed statistical techniques to arrive at the intrinsic value of JSE Limited based on widely used predictive technical indicators. In general, we focus on analyzing JSE Pink Sheet price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build JSE'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 JSE's intrinsic value. In addition to deriving basic predictive indicators for JSE, we also check how macroeconomic factors affect JSE price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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.
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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 JSE 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 JSE will appreciate offsetting losses from the drop in the long position's value.
JSE Pair Trading
JSE Limited Pair Trading Analysis
Other Information on Investing in JSE Pink Sheet
JSE financial ratios help investors to determine whether JSE Pink Sheet 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 JSE with respect to the benefits of owning JSE security.