/* * QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals. * Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ using System; using QuantConnect.Data; using Python.Runtime; namespace QuantConnect.Algorithm.CSharp { public class BasicPythonIntegrationTemplateAlgorithm : QCAlgorithm { // Create class field for numpy library private dynamic _numpy; public override void Initialize() { SetStartDate(2013, 10, 7); // Set Start Date SetEndDate(2013, 10, 11); // Set End Date SetCash(100000); //Set Strategy Cash AddEquity("SPY", Resolution.Minute); // Assign numpy library using (Py.GIL()) { _numpy = Py.Import("numpy"); } } private decimal ComputeSin(decimal value) { // Calculate python sin(10) using (Py.GIL()) { return (decimal)_numpy.sin(value); } } /// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here. /// Slice object keyed by symbol containing the stock data public override void OnData(Slice slice) { if (!Portfolio.Invested) { SetHoldings("SPY", 1); var sin = ComputeSin(10); // Calculate C# sin(10) var sinOfTen = Math.Sin(10); Debug($"According to Python, the value of sin(10) is: {sin}"); Debug($"According to C#, the value of sin(10) is: {sinOfTen}"); } } } }