The Core Components of a Winning Algorithmic Trading System
In the high-stakes world of algorithmic trading (ATS), a “winning” system is defined not just by its profitability, but by its robustness and repeatability. Research from QuantInsti indicates that the vast majority of retail automated strategies fail because they are “curve-fitted”—optimized to look perfect on past data but incapable of handling live market volatility [1]. […]
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