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Embarking on the path of algorithmic trading success means more than chasing flashy ideas — it’s about discipline, data, and direction. In Chapter 1, we unveil the “No-Nonsense” workflow: a systematic process used by top quant firms to build diversified portfolios of robust strategies. Rather than searching for a mythical holy grail, you’ll learn to…
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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…
