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Various stress-testing techniques are used to explore how an EA may react to changing market conditions and parameter adjustments. Walk Forward Optimization (WFO) and Walk Forward Matrix (WFM) assess adaptability to previously unseen data and different trading environments while identifying potential points for re-optimization. Monte Carlo simulations introduce random variations to observe how the strategy performs under diverse conditions. Sequential testing alters entry, exit, and indicator parameters to examine areas of potential stability, while system permutation stress testing evaluates performance consistency across multiple parameter configurations. These methods aim to assess factors such as overfitting risk, adaptability to past market conditions, and sensitivity to market fluctuations.
Contact me to learn more about the reasoning behind the stress-tests and related information.This strategy is built to take advantage of volatile market conditions by using stop orders that expire quickly, allowing trades to be executed only during periods of high volatility. Entry decisions are indicator-driven, with one indicator signaling when to open a stop order and another defining its placement to ensure precise execution. This method aims to filter out low-probability trades, focusing instead on significant market movements while maintaining controlled risk.
This strategy is suitable for use with various prop firms, with FTMO being the preferred option. However, using Darwinex Zero is not recommended, as account correlation could affect allocation.
The strategy is designed to operate on the M15 (15-minute) timeframe. Using a broker with lower spreads or an ECN account is recommended to help reduce trading costs. Brokers following the EST+7/GMT-3 time zone during summer and GMT-2 in winter are preferred for better alignment between back-testing and live trading. While different time zones typically do not cause major performance variations, it is essential to set the exit time to 30 minutes before market close. Additionally, the "SingleTimeRangeFrom" value should be set to market open, and the second TimeRange value should be adjusted to 45 minutes before market close.
If for any reason you do not like the purchased program, you can request a refund within 30 days from the date of purchase. You can also make an exchange for any other product at an equal cost or by paying the difference.
Simply send a request for refund or exchange with your order number by email: support@fx-market.pro.
Refund requests received more than 30 days after purchase will be rejected.