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Mastering Trading Workflows
This chapter emphasizes the significance of establishing a clear workflow for back-testing trading strategies, combining ease of use with flexibility in tools like Strategy Quant and Python. It highlights the educational gaps that exist among traders and the necessity of learning coding to unlock the full potential of algorithmic trading. The discussion also underscores community feedback and resource availability as key elements in enhancing traders' experiences and improving their strategies.