vladimircape

@wakandan check his commits, he change the core of library, to get such results, you should by yourself change 3 times original code. 1)Add histogram feature 2)Add legend feature 3)Add...

@wakandan ``` def MACD_Backtesting_FAST(values, fast): """ Return exponential moving average of `values`, at each step taking into account `n` previous values. """ close = pd.Series(values) return close.ewm(span=fast, adjust=False,min_periods=fast).mean() def MACD_Backtesting_SLOW(values,...

In backtesting.py # ``` def I(self, # noqa: E741, E743 func: Callable, *args, name=None, plot=True, overlay=None, color=None, scatter=False, histogram=False,legends=None,histogramms=None, **kwargs) -> np.ndarray: """ Declare indicator. An indicator is just an...

_plotting.py ``` def _plot_indicators(): """Strategy indicators""" def _too_many_dims(value): assert value.ndim >= 2 if value.ndim > 2: warnings.warn(f"Can't plot indicators with >2D ('{value.name}')", stacklevel=5) return True return False class LegendStr(str): #...

3 month passed but code is still not in official repo :(

> Not sure if that's what you want, but you can probably do the following > > ```python > class MyEfficientNet(nn.Module): > > def __init__(self): > super().__init__() > > #...

I also made everything, but this code not worked for Windows.needs Linux

Also please add support, i tried to install and get error

Had the same problem with seq2seq with Attention mechanizm ,tried on 1060 and P100 , no any performance changes. Looks like, Algorithm not use cuda cores

That's why people start to migrate to Pytorch