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I’m giving away 9 custom-built GBPUSD algo trading projects for StrategyQuant — 3 each for H1, H4, and D1 timeframes. These are not random builds — I’ve tested, filtered, and battle-hardened each one myself. Whether you’re just getting started or want to level up your portfolio, these projects are your launchpad. Download them, plug them…
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Retesting your strategy on other markets, timeframes, and slippage levels is essential for building robust trading systems in StrategyQuant. This guide covers how to expand testing across correlated instruments like NAS100 and S&P500, how to shift between timeframes like M30, H1, and H4, and how to simulate realistic and high-slippage conditions for Forex, CFDs, and…
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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…
