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Congratulations on reaching one of the most critical milestones in algorithmic trading: successfully validating a strategy through out-of-sample testing, Monte Carlo simulations, and Walk-Forward Matrix analysis. This is where most give up—but not you. The next step, however, is crucial: demo or micro-lot live trading to test real-world execution, platform stability, and your psychological readiness.…
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Level up your algo game with 9 free StrategyQuant X projects focused on NZDUSD. These custom-built templates come loaded with smart entry/exit logic, filters, and structure — optimized for traders targeting FTMO challenges or just wanting clean, reliable strategy development. Perfect for 1-hour and 4-hour timeframes, these projects offer a major head start for StrategyQuant…
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When developing Forex strategies for prop firm challenges, backtesting with both In-Sample and Out-of-Sample (OOS) data is essential to avoid overfitting. Using tools like StrategyQuant, ensure your strategy trains on data from multiple periods, such as 2009–2022, and validates on OOS data like 2018–2022. Test your strategy on recent market conditions as well as older…
