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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.");
}
}
}
}