Improved Trading Performance: With precise analysis of event-driven movements, traders can improve their win rates by entering trades that have a higher probability of success.
Quality is more important than quantity in a world with a lot of data.
Intraday Event Analyser
The Intraday Event Analyser is a powerful analysis tool.
It enables the analysis of consistent intraday price movement for recurring events with event charts, a backtest, and much more.
The Intraday Event Analyser shows you all the data from the event analysis. You can select the event and the instruments you wish to analyze in the upper section. There are many options available.
At the bottom, you will see the result of the intraday event analysis.
Event Filter
You can filter the events based on their evolution.
With this filter, the analysis is only applied to the events that are not filtered out.
Intraday Chart & Backtest Key Figures
The intraday chart shows the average intraday movement of the symbol. It also shows the intraday trend of the underlying instrument for the last two events.
There are always a backtests calculated. The backtest is for the selected time.
The following key figures are shown:
Intraday Backtest
The intraday backtest shows the development of the instrument in the selected timespan. So you can quickly see if the event had a significant equal impact on the instrument.
We show all the essential key figures in the overview for each backtest.
The table below shows each trade in the backtest.
Statitics
The statitcs shows the detailed development of the symbol. In addition, the green and red show the minimum and maximum development of the instrument during past events.
The statistics show the development of the instrument before and after the event. The data is displayed as min/max/averge data and in percent and points.
Event History
The event chart shows the historical development of the event.
The blue circles on the event line indicate that the respective event was included in the analysis.
If we have forecast data available, we show it as well.
What should a practical analysis tool look like?
Relevant & insightful data
Many free analyses display 1-2 data series in a chart. This is usually helpful for a rough assessment of situations. But to make sustainable and profitable trading decisions, more insight is needed.
Content-rich data:
Backtests show the "What would have been the profit if I had implemented the same action in the past?" scenario very well.
Metrics quickly show the quality of the analysis's result.
Data filter options allow you to recreate historical situations.
Speed & functionality
Time is a limiting factor for many private market participants. Most private individuals have a job, family, and hobbies. There is little time for extensive research and analysis.
Good analysis tools:
Show relevant data quickly and clearly.
Offer useful filters and configuration options.
Offer powerful screeners.
Offer comparative analysis of multiple instruments.
Quality is more important than quantity in a world with a lot of data.
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