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Metastock uses a binary format that you would have to convert to text before exporting it to a SQL table. Also, there is no Python library that could extract data directly from Metastock's end-of-day servers. You may consider quandl which allows Python developers to download pricing data as well as economic indicators. You can download CSV, JSON, or XML. If ...


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As soon as you're comfortable with Python, let's do this exercise in three steps: Download data and calculate cumulative returns (or value of your position as if you invested $1 in each of the stocks) Define function that will capture stock movements in excess of predefined threshold, 10% in this case. This function is going to be the "indicator" you ...



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