investment

🐛 Bug Description

Under MLP implementation there are several variables that need to be initialized. Such as loss, lr, lr_decay, lr_decay_steps, optimizer. However, it seems that the variables lr_decay andlr_decay_steps are indeed being initialized but are not being used at any point in the code.

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

Is there a way to calibrate a discount curve from traded fx forwards?

Taking USDJPY as an example. As an input I have the fx spot, 1M, 3M and 6M forwards , I have also built a USD OIS discount curve. I want to create a JPY discount curve such that I can reprice correctly all of the fx forwards I observe in the market. Is that possible with the current library?

As an extension to the above,

Рамочная задача для Pull Request-ов с юнит-тестами.