All of the accounts are stamped with the independent verification of myfxbook. But all this rant made me almost forget a very important detail mentioned on the website: The Wallstreet Robot averages about 3. Add your review Cancel reply Your email address will not be published.
WallStreet Recovery PRO Live Performance
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This is basically the risk that the EA runs with and failing to configure it will make the EA trade a constant 0. There is also a RecoveryMode parameter, which I strongly recommend not enabling. While it may lead to apparently higher gains, it will surely increase the drawdown dramatically.
Even the manual makes a similar recommendation. Instead of using the pair defaults, any user can configure the pair parameters manually. The stop loss, take profit, secure profit and secure profit trigger can be configured, which should give many weeks of busy CPU time to the computers of the people who are into optimizations.
The manual also features a backtesting chapter that I carefully disregarded and proceeded to doing it my own way which is almost the same when it comes to history center data anyway. It also contains some really sensible broker advice and no affiliate links, which kind of surprised me, given the product website.
Most importantly, it displays the lots it will trade, the current spread and trade status along with the authentication result. As usual, I began by running history center data backtests on the time range. I chose an average spread for each pair:. All the backtests performed on history center data were using the default settings for all parameters except the AutoMM which was set to 3. I will definitely not include it in the forward test, but I will run the other backtests on it as well, for the sake of consistency.
To save you the trouble of clicking each balance chart, I made a small table with some relevant data for each backtest.
I proceeded to perform some backtests on Dukascopy tick data next, using fixed spreads equal to those used with the history center data above. The EA settings were also the same: To get relevant results, I set all the trades to lot size to 0. The overall average monthly return is somewhere around 8. Generally, the longer a trade is prolonged, the lower the chance of ending up with a profit from it.
The average profit factor is 1. I also ran a quick Monte Carlo projection , which I am only going to link here because not many people are interested. Finally, I ran some backtests using the real Dukascopy spread and adding a commission of 0. The results look about the same as those obtained on a fixed spread but as expected, due to the commission and variable spread, they were slightly poorer. When adding the commission, this is sensibly larger than the fixed spreads I used so it makes a lot of sense to have results that are slightly worse, but I guess these are more realistic.
Since I made tables for the two other backtest series, I decided to create one for this as well, just in case you want to compare the results:. Initially, I only ran tick data backtests using the Dukascopy data with variable spread but when I noticed I mistakenly ran them with risk 2, making them not easily comparable with the previous backtests, I decided to also run some history center data backtests and some tick data backtests with risk 3, all of which you will find below.