Self-optimization algorithms for trading strategies include parameter optimization, evolutionary algorithms, heuristic methods, gradient-based techniques, machine learning, and simulation-based optimization. Each has unique pros and cons, tailored for different trading needs and market conditions.
Python programs are an excellent tool to try ideas, create graphics quickly and confirm theoretical statements with historical trading data. Python allows to develop and adjust models agilely,
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