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Maximum Adverse Price & Maximum Favourable Price
04 Oct, 21

It's been another busy month for the team as we just rolled out the first of our new Advanced Self Review features.

This update brings a much requested feature to record Maximum Adverse Price (MAP) and Maximum Favourable Price (MFP) against your trades.

For those that don't know, these are the most adverse and favourable price that was reached during your trade. So if you are in a long trade, MAP is the lowest price reached, and MFP is the highest price reached whilst the trade is open. If you are in a short trade, this would be the opposite.

You can record this in the trades detail table for each close position.

Maximum Favourable Price and Maximum Adverse Price

Using the new MAP and MFP data, we have added nearly two dozen new stats to help you analyse the performance of each trade. Just to highlight a few, we now calculate your trade's Maximum Adverse Excursion, Maximum Favourable Excursion, End Trade Drawdown and Trade Efficiency. This information can be found in the new 'info' tab on a trade. Here you will also find a new graph to give you a familiar visual representation of the price movements relative to your open, stop, target and close. In addition to these new fields, we have also moved the information from the "More Info" section of the position table into the new Info tab.

When your trade contains multiple positions, drop downs will appear in the top left corner which will allow you to switch between your scale-ins and scale-outs so you can analyse each part of the trade independently.

We are currently working on new widgets for the stats screen which will utilise this new information. So, keep an eye on our blog as these will be arriving soon.

We have also significantly expanded our range of available stat filters to give you even more flexibility and power when reviewing your trades. These stats have been broken into four sections to help organise the large variety of stats available: General, Reward & Risk, Profit, and Performance.

Reward And Risk filters