Hi!
I want to develop a futures strategy. I've cloned the QuandlImporterAlgorithm to get continuous futures from the SCF data set. However, there is an error because the object doesn't have a 'close' attribute but 'settle' instead. I've found the solution written in C#, i.e. writing a subclass. How would something like this look like in Python? I'd greatly appreciate your help.
Alexandre Catarino
In Python, we have to create a totally new class, following the example in the docs:
class QuandlFuture(PythonData): def GetSource(self, config, date, isLiveMode): return SubscriptionDataSource(str("https://www.quandl.com/api/v3/datasets/") + str(config.Symbol) + str(".csv?order=asc&api_key=" + str(Config.Get("quandl-auth-token"))), SubscriptionTransportMedium.RemoteFile) def Reader(self, config, line, date, isLiveMode): quandl_future = QuandlFuture() quandl_future.Symbol = config.Symbol # Example Line Format: # Date,Open,High,Low,Settle,Volume,Prev. Day Open Interest # 2005-01-03,43.1,43.1,41.25,42.12,69484.0,165451.0 if not (line.strip() and line[0].isdigit()): return None try: data = line.split(',') value = float(data[4]) if value == 0: return None quandl_future.Time = datetime.strptime(data[0], "%Y-%m-%d") quandl_future.Value = decimal.Decimal(value) quandl_future["Settle"] = value return quandl_future; except ValueError: return None
In this case, we need to know which column keeps the desired field.
Philipp Belgien
This helps a lot. Thank you so much!
Philipp Belgien
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