finance

Describe your context
Please provide us your environment, so we can easily reproduce the issue.

• replace the result of pip list | grep dash below

dash                      2.0.0
dash-bootstrap-components 1.0.0

• if frontend related, tell us your Browser, Version and OS

  • OS: [e.g. iOS] Windows
  • Browser [e.g. chrome, safari]: Chrome 96.0x, Edge 96.0x, Firefox

In order to achieve the expression like "Power($close, Rank($close, 14))" which is fairly common in fomulla alpha.

I guess we could use following code:

class Power(NpPairOperator): def __init__(self, feature_left, feature_right): super(PairPower, self).__init__(feature_left, feature_right, "power")

Finally, we could add a rpow magic method to Expression class

Expected Behavior

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

I want to know do agents learn? Any tips are appreciated

Reading currencies, alphavantage returns a greeting note ("welcome") and this note raises an error in alphavantage.py line 363.

            elif "Note" in json_response and self.treat_info_as_error:
                raise ValueError(json_response["Note"])

For this reason, alphavantage does not work in home assistant.

Heston model has accurate density approximations for European option prices, which are of interest.

The module implementing this method should live under tf_quant_finance/volatility/heston_approximation.py. It should support both European option puts and calls approximations. Tests should be in heston_approximation_test.py in the same folder.

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 .

Can we display an asset name in https://pyportfolioopt.readthedocs.io/en/latest/_images/ef_plot.png ?

While Inertia: inertia is calculated correctly, the documentation, https://github.com/twopirllc/pandas-ta/blob/47d8da67e1bd46476f5f7547c48ccb67598e63ed/pandas_ta/momentum/inertia.py#L17-L25, statesRelative Vigor Index instead of the Relative Volatility Index. It also links to https://www.investopedia.com/terms/r/relative_vigor_index.asp instead of an article on the `Relative Volatility Index