Jhonathan Abreu
d82d70dacf
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* Add 'asynchronous' parameter to trading api * Add regression algorithms * More fixes for asynchronous orders * Fix failing unit tests * Fix failing unit tests * Add multiple orders requests in transaction handler Make each transaction thread handle requests corresponding to the same order * Refactor order state machine in BrokerageTransactionHandler Now using a single dictionary to hold orders and their state, either pending for submission, open or closed. * Revert: remove complete orders from new state machine in BTH * Add order ticket to new BTH open orders state machine * Run syn in Backtesting transaction handler for new orders submission * Remove OpenOrderState.SubmissionPending property * Add Security to OpenOrderState * Minor fix * Cleanup * Some cleanup in BTH * Cleanup * Minor fix * Minor unit test fix * Minor fix * Make Brokerage.ConcurrencyEnable property virtual * Minor change * Cleanup * Add 'asynchronous' parameter to SetHoldings api * Improve regression algorithms
47 lines
2.2 KiB
Python
47 lines
2.2 KiB
Python
# QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
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# Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from AlgorithmImports import *
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### <summary>
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### Regression algorithm testing the SetHolding trading API precision
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### </summary>
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class SetHoldingsRegressionAlgorithm(QCAlgorithm):
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'''Basic template algorithm simply initializes the date range and cash'''
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asynchronous_orders = False
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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.set_start_date(2013, 10, 7)
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self.set_end_date(2013, 10, 8)
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self.add_equity("SPY", Resolution.MINUTE)
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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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Arguments:
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data: Slice object keyed by symbol containing the stock data
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'''
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if not self.portfolio.invested:
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self.set_holdings("SPY", 0.1, asynchronous=self.asynchronous_orders)
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self.set_holdings("SPY", float(0.20), asynchronous=self.asynchronous_orders)
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self.set_holdings("SPY", np.float64(0.30), asynchronous=self.asynchronous_orders)
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self.set_holdings("SPY", 1, asynchronous=self.asynchronous_orders)
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def on_end_of_algorithm(self):
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for ticket in self.transactions.get_order_tickets():
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if ticket.submit_request.asynchronous != self.asynchronous_orders:
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raise AssertionError("Expected all orders to have the same asynchronous flag as the algorithm.")
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