* pep8 conversions * Address review. Fix PythonIndicator * Minor CSharp algo fix --------- Co-authored-by: Martin Molinero <martin.molinero1@gmail.com>
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@@ -22,41 +22,41 @@ from AlgorithmImports import *
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### <meta name="tag" content="dividend event" />
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class DividendAlgorithm(QCAlgorithm):
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def Initialize(self):
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def initialize(self):
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'''Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.'''
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self.SetStartDate(1998,1,1) #Set Start Date
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self.SetEndDate(2006,1,21) #Set End Date
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self.SetCash(100000) #Set Strategy Cash
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self.set_start_date(1998,1,1) #Set Start Date
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self.set_end_date(2006,1,21) #Set End Date
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self.set_cash(100000) #Set Strategy Cash
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# Find more symbols here: http://quantconnect.com/data
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equity = self.AddEquity("MSFT", Resolution.Daily)
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equity.SetDataNormalizationMode(DataNormalizationMode.Raw)
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equity = self.add_equity("MSFT", Resolution.DAILY)
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equity.set_data_normalization_mode(DataNormalizationMode.RAW)
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# this will use the Tradier Brokerage open order split behavior
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# forward split will modify open order to maintain order value
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# reverse split open orders will be cancelled
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self.SetBrokerageModel(BrokerageName.TradierBrokerage)
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self.set_brokerage_model(BrokerageName.TRADIER_BROKERAGE)
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def OnData(self, data):
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def on_data(self, data):
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'''OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.'''
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bar = data["MSFT"]
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if self.Transactions.OrdersCount == 0:
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self.SetHoldings("MSFT", .5)
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if self.transactions.orders_count == 0:
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self.set_holdings("MSFT", .5)
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# place some orders that won't fill, when the split comes in they'll get modified to reflect the split
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quantity = self.CalculateOrderQuantity("MSFT", .25)
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self.Debug(f"Purchased Stock: {bar.Price}")
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self.StopMarketOrder("MSFT", -quantity, bar.Low/2)
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self.LimitOrder("MSFT", -quantity, bar.High*2)
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quantity = self.calculate_order_quantity("MSFT", .25)
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self.debug(f"Purchased Stock: {bar.price}")
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self.stop_market_order("MSFT", -quantity, bar.low/2)
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self.limit_order("MSFT", -quantity, bar.high*2)
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if data.Dividends.ContainsKey("MSFT"):
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dividend = data.Dividends["MSFT"]
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self.Log(f"{self.Time} >> DIVIDEND >> {dividend.Symbol} - {dividend.Distribution} - {self.Portfolio.Cash} - {self.Portfolio['MSFT'].Price}")
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if data.dividends.contains_key("MSFT"):
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dividend = data.dividends["MSFT"]
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self.log(f"{self.time} >> DIVIDEND >> {dividend.symbol} - {dividend.distribution} - {self.portfolio.cash} - {self.portfolio['MSFT'].price}")
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if data.Splits.ContainsKey("MSFT"):
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split = data.Splits["MSFT"]
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self.Log(f"{self.Time} >> SPLIT >> {split.Symbol} - {split.SplitFactor} - {self.Portfolio.Cash} - {self.Portfolio['MSFT'].Price}")
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if data.splits.contains_key("MSFT"):
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split = data.splits["MSFT"]
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self.log(f"{self.time} >> SPLIT >> {split.symbol} - {split.split_factor} - {self.portfolio.cash} - {self.portfolio['MSFT'].price}")
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def OnOrderEvent(self, orderEvent):
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def on_order_event(self, order_event):
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# orders get adjusted based on split events to maintain order value
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order = self.Transactions.GetOrderById(orderEvent.OrderId)
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self.Log(f"{self.Time} >> ORDER >> {order}")
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order = self.transactions.get_order_by_id(order_event.order_id)
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self.log(f"{self.time} >> ORDER >> {order}")
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