finmarketpy
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Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
Hi, nice library! I have a question, is finmarketpy considering spread trading costs? Kindly let me know. Thanks. Regards.
Can I use it to backtest the cryptocurrency ? which may buy share like 1.5 , is not integer.
Ran into an Anaconda problem when trying to install arctic: `(C:\Users\User-pc\Anaconda3) C:\Users\User-pc>pip install git+https://github.com/manahl/arctic.git` This would result in the following error: `error: command 'cl.exe' failed: No such file or directory`...
Just a minor issue!
i got error "ImportError: cannot import name 'ols'" what am i missing? Traceback (most recent call last): File "C:/Users/lei.wang/AppData/Local/Continuum/Anaconda3/Lib/site-packages/finmarketpy_examples/backtest_example.py", line 30, in from finmarketpy.backtest import BacktestRequest, Backtest File "C:\Users\lei.wang\AppData\Local\Programs\Python\Python36-32\lib\site-packages\finmarketpy\__init__.py", line...
If yes, please include the installation steps thanks
In market/request/backtestrequest.py, the strike property setter is using the tenor decorator. ``` @tenor.setter def strike(self, strike): self.__strike = strike ```
> > > df = ltsf.harvest_time_series(time_series_request) > > > Traceback (most recent call last): > > > File "", line 1, in > > > File "C:\Anaconda2\lib\site-packages\pythalesians-0.1a0-py2.7.egg\pythalesians\market\loaders\lighttimeseriesfactory.py", line 126, in...
Hello, IPython/Jupyter notebooks could be a great tool to use to show some features of pythalesians. Kind regards