Trend Trader FOREX: Only Cross Currency Pairs (TA)
Description:
This type of AI Robot is best suited for trend traders with a moderate level of risk. This robot opens a maximum of 9 trades at the same time and they all have an average duration of 23 hours. All this allows our users spending lesser time tracking signals and their open positions.
We have created a mixed pool of cross currency pairs with different levels of volatility (EURNZD, EURGBP, AUDCAD, CADCHF, NZDCHF, GBPCAD, AUDNZD) to balance the risks and not depend on the dynamics of one specific currency. Also, this type of robot uses advanced trend analysis algorithms with parameters individually selected for each currency pair. This allows us to more accurately determine the direction of the current trend and choose the most effective algorithm for generating a signal to open a trade with.
The exit from a position is made by trailing stop, which allows our users to get the maximum profit from the trend. At the same time, our unique combination of trend detection methods effectively filters out unwanted signals during sideways price movements.
Since this AI Robot actively trades cross currency pairs, we recommend using ECN to minimize the impact of spreads on trading results.
The robot's trading results are shown without using a margin. For a full trading statistics and equity chart, click on the "show more" button on the robot page. In the tab “Open Trades”, a user can see live how the AI Robot selects equities, enters, and exits in paper trades. In the tab “Closed trades”, a user can review all previous trades made by the AI Robot.
Disclaimer. The presented paper traded results (annualized returns, % wins/loss, and other statistics) are achieved by the application of the backtested and forward tested models. The past backtested and forward tested performance should not be taken as an indication or guarantee of future performance, and no representation or warranty, expressed or implied is made regarding future performance. Forward testing started on 10.24.2022.
Summary (22 days)
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