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As far as I know the Newton method is the preferred method for yield calculation. Two ideas to optimize the loop spring to mind: Run the loop in parallel. Use the last yield as starting value. If you have a good guess the number of iterations necessary per optimization is reduced significantly. How to get the most out of the previously calculated yield ...


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Not sure if it helps you directly but matplotlib (a library for graphs in Python) has some examples of use of technical analysis ie: http://matplotlib.org/examples/pylab_examples/finance_work2.html?highlight=finance http://matplotlib.org/examples/pylab_examples/finance_demo.html?highlight=finance


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I'd put this down as a comment, but don't have the reputation to do so. There is (or at least used to be) a two part MOOC course over at Coursera by one of the developers of QuantSoftware Toolkit. This is not an endorsement of the course or the software, just a statement of fact (for the record, I did do a part of the course, but found it too simplistic and ...



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