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Using Machine Learning for live currency trading

Jupyter Notebook 100.00%
live-trading fxcm currency machine-learning machinelearningfinance machine-learning-finance machine-learning-for-trading machine-learning-for-finance forex-prediction

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fxcm_currency's Issues

execution error

System: Ubuntu 16.4
python: 3
running in jupyter Notebook
File: TripleBarrier.ipynb
`NameError Traceback (most recent call last)
in
----> 1 data_in[cols].iplot()

NameError: name 'cols' is not defined`

File: Automated Algo.ipynb
`eyError Traceback (most recent call last)
in
----> 1 data.iplot()

~/anaconda3/lib/python3.7/site-packages/cufflinks/plotlytools.py in _iplot(self, kind, data, layout, filename, sharing, title, xTitle, yTitle, zTitle, theme, colors, colorscale, fill, width, dash, mode, interpolation, symbol, size, barmode, sortbars, bargap, bargroupgap, bins, histnorm, histfunc, orientation, boxpoints, annotations, keys, bestfit, bestfit_colors, mean, mean_colors, categories, x, y, z, text, gridcolor, zerolinecolor, margin, labels, values, secondary_y, secondary_y_title, subplots, shape, error_x, error_y, error_type, locations, lon, lat, asFrame, asDates, asFigure, asImage, dimensions, asPlot, asUrl, online, **kwargs)
1156 sharing='private'
1157 if sharing is None:
-> 1158 sharing=auth.get_config_file()['sharing']
1159
1160 if not filename:

KeyError: 'sharing'`

Make Pickle

Save model in pickle form and keep track of it

Running the code

Can you walk through running the code? Is it just copying this code into a python script? If that is the case, my results after commission are much lower than the images you show.

image

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