Analytics (South Africa) Overlap Studies Simple Moving Average
| 0P0000ZSMO | 10.01 0.03 0.30% |
| Symbol |
The output start index for this execution was fifty-nine with a total number of output elements of two. The Simple Moving Average indicator is calculated by adding the closing price of Analytics for a given number of time periods and then dividing this total by the number of time periods. It is used to smooth out Analytics Ci Balanced short-term fluctuations and highlight longer-term trends or cycles.
Analytics Technical Analysis Modules
Most technical analysis of Analytics 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 Analytics from various momentum indicators to cycle indicators. When you analyze Analytics 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 |
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.Generate Optimal Portfolios
Align your risk and return expectations
| Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
| Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
| Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |