The widget below will instantly show you a live real-time snapshot of the forex pairs that are the strongest and weakest right now across various different time frames.
The currency pairs are listed alphabetically, but you can click on the time frame headings to show the pairs that are trending the strongest in each interval, with upward trends highlighted in green and downward trends highlighted in red.
You have the option to sort them by pip value or percentage, but it is much better to sort them by percentage because of the fact that they all have different average daily trading ranges.
How to Use This Data
Although this widget will alert you to the strongest trending pairs, there are no guarantees that these trends will continue. It is just telling you which pairs are moving right now.
If a pair has trended strongly in one direction, there is actually a good chance that it is reaching a stretch point and therefore likely to reverse in the near future, and this is actually how I like to use this widget.
I like to sort the currency pairs in both the 4-hour and 1-hour time frames to narrow my shortlist of trading candidates down to 1-3 pairs, and then examine the price charts of each one to see if any of them are worth trading based on a few oscillating indicators, and how many pips they have moved so far in comparison to their average true range (ATR).
Another way to use this widget is to see which pairs that you should avoid trading because the ones in the middle of the sorted lists are the ones that are stuck in narrow sideways trading ranges, and are therefore going to be the hardest to extract profits from.
Who Can Benefit From This Live Heatmap?
Scalpers and day traders can benefit from using this heatmap because they will instantly be able to see which pairs are moving right now on the lower time frames, from the 1-minute all the way up to the 4-hour time frame.
However it is also really useful for swing traders and longer term position traders as well because it will indicate which forex pairs are trending the most on the daily, weekly and monthly time frames.
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