finance

In recent versions (can't say from exactly when), there seems to be an off-by-one error in dcc.DatePickerRange. I set max_date_allowed = datetime.today().date(), but in the calendar, yesterday is the maximum date allowed. I see it in my apps, and it is also present in the first example on the DatePickerRange documentation page.

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Expected Behavior

Be able to update a series of indicators with a single command.

Actual Behavior

Python algorithm needs to make a historical data request that returns a pandas DataFrame that will be used to update indicators. If the algorithm uses EnableAutomaticIndicatorWarmUp instead, it will make the same historical data request if there is more than one indicator per Symbol.

I've been experimenting with the crypto aspects of the library, and I do see that there are the endpoints for daily, weekly, and monthly, however the endpoint for intraday is not available using the "function=CRYPTO_INTRADAY" from the Cryptocurrencies section of the API.

I would assume the format would be:
`(data, meta) = cc.get_crypto_intraday(symbol = "", interval = "", market = "", outputs

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 .

Hi @twopirllc ,
Could you please add the Connors RSI (CRSI) indicator?

About CRSI
Code for reference

Also doc for [Aroon](https://github.com/twopirllc/pandas-ta/blob/1deb7559f626d2a5cf664b6c0af7a8016a53bfca/pan

Hi there,
while playing with the alpha mode (alpha=0.1) I noticed that the marker have a border. Is that a feature, or is there any way to disable it?

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    if df.signal_bull_week.notna().sum() > 0:
        signal_bull_week = mpf.make_addplot( df.signal_bull_week -