NeoTradEx live forward test
Trading style: uses a neural network to enter the market when a trend is identified. Its positions have a stop loss, take profit and trailing stop calculated based on the volatility (the default settings don’t include a TP; the positions are closed by the trailing stop).
Currency pairs: pretrained for EURUSD and USDCHF but it can be trained for any other pair
Timeframe: pretrained for H1; it can also be trained for other timeframes
License: currently not limited
NFA compliance: yes (with MaxOrders set to 1, the default setting)
Refund policy: 60 days
Read more at the NeoTradEx website
Note: this is an EA that is based on a neural network. Generally, neural networks have to be trained to obtain good results and NeoTradEx comes pretrained for H1 EURUSD, USDCHF, EURJPY, EURGBP and USDJPY. The robot also caters to those who like to fiddle with stuff and the user has the option to train the neural network on his own. See the user guide on the NeoTradEx website for more info on that and the theory & mechanism behind it.
Birt’s forward test
Settings: default (using the provided set files with Fixed off and Capital 0.05)
Account type: live, micro
Starting balance: $300
Current version: 1.5
Currency pairs: EURUSD, other pairs removed temporarily due to some issues.
Note: the account is using the neural network with the training files supplied by the vendor (available out of the box). The first three trades were taken with the Fixed parameter set to false and the Capital parameter set to 0.1 so they had a rather high lot size; that seemed too risky so the next 6 trades were executed with Fixed enabled and a lot size of 0.1; I finally decided to run it with Fixed off and Capital 0.05 because I wanted to take advantage of the fact that the EA risks a fixed percent of the available capital – this setting was chosen based on the drawdown exhibited in the backtest results starting from mid 2010.
Broker: Alpari UK
Account type: real
Initial balance: $529
Currency pairs: EURUSD
I’m stressing this a bit more: please bear in mind that this is a neural network EA and it is trained on past data because… well, that’s the only way to do it. This means that the backtests are somewhat meaningless since the EA is already prepared to deal with that data. Nonetheless, I ran a few backtests for those interested and as you will see below, it’s evident that the neural network was trained on the past couple of years. As a side note, I’ve followed the vendor’s forward test for a while before starting this one to ensure that its live performance matches the one seen in the past couple of years from the backtests.