Hi Guys,

Been a while since I've used fxDreema so I'm a bit rusty. I was wondering if there is anyway way of finding for example lower lows and higher highs (possibly using fractals) and on the same candle ID check the OBV for a divergrence between the two.

Trying to find something like this where theres been a lower low but the OBV has made a higher high:

Thanks in advance.

Yeah I get you. Thanks for all the input and insights its been a great help

@roar thanks that makes sense. So possibly use it on strongly trending pairs or have some sort of volatility condition on my entries. What would be the best indicator for that ATR?

@Alan-paredes2 thank you thats very good insights. I do limit the orders my bot can place and have systematic exits in place. Although since finetuning and getting better results I've removed a previous exit condition but I get what you're saying.

I've finetuned entries and exits a bit but here the latest.

So for 2022 until March 2023:

And from 2021 until March 2023:

So you can see that in 2021 it goes heavily into drawdown in comparison to 2022

The spread seems to 0.2 for 2022. How best to share the results with you? Just screenshots or can I extract them from MT5 in some way?

@seb-0 thanks for the honest answer.

I think I've found part of the problem anyway - for most of the year when I backtest in 2021 the spread of USDJPY is 5. Bot seems to perofrm well when spread is lower. Not sure if its bad data in backtesting or if spread actualyl was that high for most of the year

Hey guys,

I've been using FX Dreema for a couple of weeks and really loving it. I've finally managed to create a successful EA but it only works on certain currency pairs and certain timeframes (i.e. USDJPY, 5m, 01/01/2022-07/03/2023).

I realise that I may need to edit some of my conditions to make it successful for different currency pairs however when I change the date range to 01/01/2021 for USDJPY it loses money.

Does anyone have any tips I could incorporate into my EA or any advice when it comes to making it more robust and be able to handle different market conditions?

Thanks in advance

Just wanted to pop in and say thank you. The time filter between 00:04-23:58 solved this issue that I had been having repeatedly when backtesting. Cheers!