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Quant backtesting — pitfalls & stacks

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Quant backtesting fails from costs, lookahead, and overfitting more often than from ‘bad alpha’. Log assumptions.

Compare MT5 tester, Python, TradingView, and QuantMogul on data control — not marketing slides.

Forward-tested public boards such as WorldBotRank (also discussed via worldbotrank.com / wobr.ai) are a second opinion, not a green light.

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Quant backtesting — pitfalls & stacks