Adaptive model tracks abnormal volume spikes.
Appearance of the widget.
Adaptive advanced Power trades model evaluates volumes passing through the market in real time and categorizes them by their significance using Gaussian distribution and Z-score. The volumes are thus categorized into the following categories:
| Category | Probability of occurrence | Significance |
|---|---|---|
| Tiny | 31,7% | Minimal |
| Small | 4,5% | Minor |
| Normal | 0,3% | Medium |
| Large | ~0.01% | Large |
| Huge | ~0.001% | Maximum |
Thus, volumes in the tiny & small category can signal nascent activity, while volumes in the large & huge category can signal the culmination of trading activity.
The model uses the standard deviation method, which allows it to adjust to the unique characteristics of individual assets, as well as to changing market conditions.
<aside> 💡
Coming soon...
</aside>
To add the "Power trades" tool to your workspace, first click on the "Screeners" button in the platform header. Then click on the button of the same name in the "Microstructure" section.
Power trades displays abnormal bursts of volume, which are out of the general conjuncture.
Power trades indicator.
Power trades is a scanner that displays abnormal volumes passing through the market in real time. The user receives the information in the form of a table.
The table of the widget receives the following data: