your logic in a Python file. Some preferences and parameters: slippage cost, commission fees, final metrics, number of positions. Not mandatory but recommended. You just have to backtest it while varying some parameters within a chosen range, as a result, backtrader will find you which set of parameters give you the best performance over the period.
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For example websites like Quantopian are very efficient and provide with good charts and good metrics. All you need for this is a python interpreter, a trading strategy and last but not least : a dataset. Good luck and let me know how it goes! In this article, I forex trends and profitable patterns will introduce a way to backtest trading strategies in Python. (Amazing documentation on their website). This is the example of my final code, click to extend the code snippet: The result The most interesting part, what is the result? The last one is the RSI.
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