stocks
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Hey,
First of all thank you for the hard work put into this, it's a really awesome project that I still learn how to use.
I'm not that proficient in using python so that is why I'll put my suggestion here. I have used python more for machine learning stuff and there the option of searching hyperparameters was also between grid and random search. However, I found that using bayesian optimizati
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What's your feature?
it's hard to know what the data mean
Why are you interested in it being added?
>>> print(spy.keys())
dict_keys(['margin_initial_ratio', 'rhs_tradability', 'id', 'market', 'simple_name', 'min_tick_size', 'maintenance_ratio', 'tradability', 'state', 'type', 'tradeable', 'fundamentals', 'quote', 'symbol', 'day_trade_ratio', 'name', 'tradable_chain_id', 'splits'
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For intraday prices, Tiingo can provide the IEX volume if explicitly requested as
"?columns=open,high,low,close,volume" per their docs.
Unfortunately the get_dataframe doesn't expose this, when no metric_name is provided, it passes no value for the column parameter to Tiingo's APIs
url = self._get_url(stock, frequency)
response = self._request('GET', ur
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Feature Request
Dolibarr has a lot of bugs IMO that could be easily discovered before releases if we had some kind of testing suite.
I suggest we make one. I can contribute tests, but I have never written tests in PHP before. I could write some in Python to test the API.
Suggested implementation
no idea, never done this before
see https://www.tutorialspoint.com/software_testing_diction