trading

Expected Behavior

The description of the EMA indicator mentions that the only way to warm up an EMA is

Wondering if this already exists? If not happy to create if valuable.

I'm looking for a mapping from the column names outputted, to the actual technical indicator it represents.

examples:
momentum_ao == "Momentum, Awesome Oscilator"
momentum_kama == "Momentum, Kaufman’s Adaptive Moving Average (KAMA)"

Can help quickly grasp what the features represent without having to refer back to do

According to @rspadim, functions in entropy.py could use numpy array instead of strings, as it's better to numba.

Guide on how to implement this is available in the comments in PR #311 .

Is your feature request related to a problem? Please describe.
Ugly title for asset new asset. The asset node gets New Asset title after entering the codename.

Describe the solution you'd like
auto rename by referring the codeName --> iconName
set iconName as variable.

Describe alternatives you've considered

Additional context
Add any other context or screenshots

When I ran Center of Gravity: cg over 3 months of Bitcoin prices ("20200801" to "20201101"), I got

this is how Buy & Hold Return is calculated:

        c = data.Close.values
        s.loc['Buy & Hold Return [%]'] = (c[-1] - c[0]) / c[0] * 100  # long-only return

so it's calced use day one and the day last.

Expected Behavior

Buy & Hold Return is used for compare with strategy gain. Therefore, I guess they should started at same time, since the strategy get enough data to w