Example of strategy backtesting using IPython. The notebook can be found here:
http://nbviewer.ipython.org/urls/dl.dropboxusercontent.com/u/11352905/notebooks/trading%20with%20python%20example.ipynb
Comments
What if you wanted to develop your own algorithm? How would you identify the main variables and their relationships? What's been the algorithm with highest predictive power? Can an individual investor ever compete with those big banks and the pool of talent they can draw at a blink of an eye? Just wondering
import python.lib.yahoofinance not found module... how to make it work? thanks...
do we need to consider the transaction cost in the backtesting?
dont you have to LN the returns??
great
Nice
hi, the link for your notebook seems 404 : Not Found
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Awesome, what I want to know is how can I learn this stuff? and how would one implement it from this stage to live trading? More videos!! Thanks so much :)