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Chapter 4: Architecting Your Edge With data properly configured, you’re ready to step into the role of strategy architect. This phase uses StrategyQuant to generate an initial pool of potential trading strategies across selected markets and timeframes. Carefully defining your testing periods, execution engine, and logic building blocks ensures realistic simulation and accuracy. Use key…
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Take your algo trading to the next level with 9 free custom StrategyQuant projects focused on AUDUSD. These ready-to-use templates are built for precision and optimized for FTMO swing trading conditions. Instead of starting from scratch, plug into tested frameworks featuring market filters, custom logic, and advanced exit conditions. Perfect for StrategyQuant X users and…
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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…
