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Experiment for one week only
Hedging Forex EA3
https://www.mql5.com/en/market/product/38151
https://www.youtube.com/watch?v=ujTybP7mbeo&t=14s
http://www.mediafire.com/file/mof7fd0m778nege/Hedging+Forex+EA3.rar
With the new update Do this Auto_Lots=false An idea of testing hedge EA in the strategy tester will be given in this article. As you know, the strategy tester has its own limit unabling to open any order for another symbol. Every user that would like to test his/her own hedge Expert Advisors needs to test it/them live only. But does this limit our capabilities? I am sure that every hedge trader needs to test his own EA before trading live. So, I am giving the idea of generating a virtual
With the new update Do this Auto_Lots=false An idea of testing hedge EA in the strategy tester will be given in this article. As you know, the strategy tester has its own limit unabling to open any order for another symbol. Every user that would like to test his/her own hedge Expert Advisors needs to test it/them live only. But does this limit our capabilities? I am sure that every hedge trader needs to test his own EA before trading live. So, I am giving the idea of generating a virtual
It is possible to try the EA Hedging_Forex_EA1 only one week
The EA can be downloaded from this link
Greetings to you
http://www.mediafire.com/file/xd9jqxx9qn9asrv/Hedging_Forex_EA1.rar/file
It is possible to try the indicator The Flood 3 only one week
The cursor can be downloaded from this link
Greetings to you
http://www.mediafire.com/file/jv2775n7mwj23xm/The+Flood+3.rar
There is the first expert enters a sale deal The second expert enters the purchase Each expert works on pending deals multiples With each expert closing his trades at a 10 point profit Better to watch the video before working the experiment. Parameters: OP_symbol_1 : Open positions BUY or open positions SELL. Lot1: Manual Lot Size. Auto_Lot: Set to true to automatically calculate optimal Lot Size based on risk preferences, set to false if you want to use manual lot size. Max_Risk: Max Risk
