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In StrategyQuant X, three key building blocks—Bar & Time, Price, and Operators—form the foundation of any automated trading strategy. Time settings like “Bar Hour” and “Current Day” help align trades with market behavior. Price data like “Close,” “Daily High,” or “Heiken Ashi Open” provide the essential data points. Operators like “Crosses Above,” “Is Rising,” and…
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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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If you’re running trading algorithms or automated strategies, using a VPS (Virtual Private Server) is a game changer. It keeps your system running 24/7 without interruptions, even when your home internet or power goes down. With ultra-fast execution speeds, reliable uptime, and enhanced security, a VPS gives traders the edge they need in today’s markets.…
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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…
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Artificial intelligence is revolutionizing trading in the world’s most popular financial market. This article explains how AI-driven trading bots work and why they outperform traditional rule-based Expert Advisor (EA) robots. While EAs follow static strategies, AI models learn from vast data, adapt to changing market conditions, and continuously improve their predictions. We highlight key differences…
