cTrader Risk Reward Pro bug

Brd1no

Hi, I've bought a Risk Reward Pro indicator, but there is one problem with it. On a planning stage of a trade if I make SL too big TG1 doesn't show RR and if I open a trade there is no TG1 at all.

https://clickalgo.com/risk-reward-indicator

and if I make SL smaller it shows RR and when the trade is opened there is a TG1

Brd1no

Actually it's not just TG1, just tested and if I make SL even bigger then all targets are not working. And this problem exists only with small lot sizes.

Mike

Hi, Brd, I have informed the vendor and he will reply to this message shortly to help you.

cwo

Hi Brd,

could you check the "Execution" section and make sure that the minimum lot size is 0.01? The "Execution" section determines the minimum/maximum lot size for the order sent to the broker.

The general minimum lot size is set by the broker. In your case, it is not possible to have lots smaller than 0.01. So if the lot size is too small, it will be ignored for this specific target and moved to the next target.

For example, if the calculated total lot size is 0.02 and three targets are set with ₀.007 lots each, the algorithm will move lots that cannot be filled (e.g. 0.007) to the next target. In this example, it is moved to TG2. On the other hand, the planning should already show the correct size of each target group.

If you increase the SL distance so that the total risk is higher than you want to afford (check the risk percentage setting), no lots will be displayed and no trade will be generated.

Was I able to clarify the problem?
Best regards
Carsten

Brd1no

Thanks for clarifying. Yeah the minimum is set to 0.01. It's just happens sometimes if total position is 0,03 and it skips first target and 2nd target is 0,02 and 3rd 0,01. Like in this case for example

cwo

I see.

The first target level is a special level because it tries to cover the total commissions for the whole trade. If this is not possible, the positions are moved to the next level.
I will check for the next version if I can improve this behavior.