#MyStrategyEvolution#MyStrategyEvolution Your strategy evolves through stages: simple rules → backtesting → systematic implementation → adaptive optimization. Start with clear entry/exit criteria (e.g., moving‑average crossover) and paper‑test them using historical data . Once validated, code it into an algo and simulate live (“walk‑forward” testing) to avoid curve‑fitting . As markets shift, introduce evolutionary/AI-driven adjustments—automated parameter tweaks based on performance feedback . Combine human oversight with automation to refine risk controls and execution. The result? A strategy that starts simple, learns from data, adapts with market changes, and remains robust over time.
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