转载需注明:http://blog.csdn.net/minimicall ,http://cloudtrade.top/
分析Cointrader有一定层度了,发现它毕竟不是一个产品,没有得到验证。在架构、编码等方面都非常的不规范。
想编写一个云交易平台,任道而重远。我们需要参照一些成熟的架构。
Quantopian的zipline不行,因为我就是看到它不行,所以才去分析Cointrader的。
现在这两个,一个压根就不是云平台,一个是不成熟,所以我只能去分析剩下的一个QuantConnect了。它的引擎是lean。
学习lean从学习使用开始,然后学习其架构、源码。然后设计我们的架构、平台。
我们首先来看一个例子。官方的最基本的案例。
代码如下:
namespace QuantConnect { /* * QuantConnect University: Full Basic Template: * * The underlying QCAlgorithm class is full of helper methods which enable you to use QuantConnect. * We have explained some of these here, but the full algorithm can be found at: * https://github.com/QuantConnect/QCAlgorithm/blob/master/QuantConnect.Algorithm/QCAlgorithm.cs */ public class BasicTemplateAlgorithm : QCAlgorithm { //Initialize the data and resolution you require for your strategy
public override void Initialize() { //Start and End Date range for the backtest: SetStartDate(2013, 1, 1); SetEndDate(DateTime.Now.Date.AddDays(-1)); //Cash allocation SetCash(25000); //Add as many securities as you like. All the data will be passed into the event handler: AddSecurity(SecurityType.Equity, "SPY", Resolution.Minute); } //Data Event Handler: New data arrives here. "TradeBars" type is a dictionary of strings so you can access it by symbol. public void OnData(TradeBars data) { // "TradeBars" object holds many "TradeBar" objects: it is a dictionary indexed by the symbol: // // e.g. data["MSFT"] data["GOOG"] if (!Portfolio.HoldStock) { int quantity = (int)Math.Floor(Portfolio.Cash / data["SPY"].Close); //Order function places trades: enter the string symbol and the quantity you want: Order("SPY", quantity); //Debug sends messages to the user console: "Time" is the algorithm time keeper object Debug("Purchased SPY on " + Time.ToShortDateString()); //You can also use log to send longer messages to a file. You are capped to 10kb //Log("This is a longer message send to log."); } } } }