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HI,
How can I get the list of symbols from this code :
def CoarseSelectionFunction(self, coarse):
# First narrow the original coarse universe down to a managable level.
init_select = [stock for stock in coarse if (stock.HasFundamentalData)]
# second convert the initial selection to a pandas dataframe.
stock_symbols = [stock.Symbol for stock in init_select]
stock_data = [(stock.DollarVolume,) for stock in init_select]
column_names = ['dollar_volume']
self.Debug('#################')
self.Debug((stock_symbols))basically, down the road, i want to be able to extract the previous X numbers of days of clsing price as follows:
hist = self.History([all_the_symbols_in_my_universe], 10, Resolution.Daily)
self.Log((hist))Thanks so much in advance !
Jing Wu
In CoarseSelectionFunction(self, coarse), "coarse" is a list of coarse fundamental objects. This object has property "Symbol". You can get a list of symbol objects with
symbol_list = [i.Symbol for i in coarse]
However, you should be wary of large history requests. Once you get over about 120K data points you'll run into timeout issues. For reference, coarse data set has approximate 7500 symbols, so 10 days history at the daily resolution on all symbols is 75k data points.
More reasonable would be trimming the result set down using coarse selection and then issuing a single history request for the filtered results of coarse.
Stephane b
Thanks Jing ! (Sorry for the delay)
Im new to QC and I need to convert a quantopian code to QC so all of this is a bit of a challenge to me especially with my relatively intermediate Python knowledge. Anyway, I'll dig deeper what you just mentioned and I thank you again !
Best,
Stephane b
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