WIG 30 (Poland) Statistic Functions Linear Regression
| WIG30 Index | 2,814 21.50 0.77% |
| Symbol |
The output start index for this execution was two with a total number of output elements of fifty-nine. The Linear Regression model generates relationship between price series of WIG 30 and its peer or benchmark and helps predict WIG 30 future price from its past values.
WIG 30 Technical Analysis Modules
Most technical analysis of WIG 30 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 WIG from various momentum indicators to cycle indicators. When you analyze WIG 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 |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards WIG 30 in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, WIG 30's short interest history, or implied volatility extrapolated from WIG 30 options trading.
Trending Themes
If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment. | Entertainment Invested over 90 shares | |
 | Macroaxis Index Invested few shares | |
 | FinTech Invested over 60 shares | |
 | Impulse Invested over 100 shares | |
 | Banking Invested over 20 shares | |
 | Adviser Favorites Invested few shares | |
 | Driverless Cars Invested few shares | |
 | Dividend Beast Invested over 50 shares | |
 | Chemicals Invested over 30 shares | |
 | Business Services Invested few shares | |
 | Manufacturing Invested over 30 shares | |
 | Hedge Favorites Invested over 60 shares | |
 | Momentum Invested few shares |