| Overall Statistics |
|
Total Trades 1 Average Win 0% Average Loss 0% Compounding Annual Return 740.658% Drawdown 51.500% Expectancy 0 Net Profit 0% Sharpe Ratio 2.189 Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha 1.889 Beta -0.373 Annual Standard Deviation 0.832 Annual Variance 0.693 Information Ratio 1.952 Tracking Error 0.841 Treynor Ratio -4.883 Total Fees $0.00 |
using Newtonsoft.Json;
namespace QuantConnect
{
/// <summary>
/// Custom Data Type: Bitcoin data from Quandl - http://www.quandl.com/help/api-for-bitcoin-data
/// </summary>
public class Bitcoin : BaseData
{
//Set the defaults:
/// <summary>
/// Open Price
/// </summary>
public decimal Open = 0;
/// <summary>
/// High Price
/// </summary>
public decimal High = 0;
/// <summary>
/// Low Price
/// </summary>
public decimal Low = 0;
/// <summary>
/// Closing Price
/// </summary>
public decimal Close = 0;
/// <summary>
/// Volume in BTC
/// </summary>
public decimal VolumeBTC = 0;
/// <summary>
/// Volume in USD
/// </summary>
public decimal VolumeUSD = 0;
/// <summary>
/// Volume in USD:
/// </summary>
public decimal WeightedPrice = 0;
/// <summary>
/// 1. DEFAULT CONSTRUCTOR: Custom data types need a default constructor.
/// We search for a default constructor so please provide one here. It won't be used for data, just to generate the "Factory".
/// </summary>
public Bitcoin()
{
Symbol = "BTC";
}
/// <summary>
/// 2. RETURN THE STRING URL SOURCE LOCATION FOR YOUR DATA:
/// This is a powerful and dynamic select source file method. If you have a large dataset, 10+mb we recommend you break it into smaller files. E.g. One zip per year.
/// We can accept raw text or ZIP files. We read the file extension to determine if it is a zip file.
/// </summary>
/// <param name="config">Configuration object</param>
/// <param name="date">Date of this source file</param>
/// <param name="isLiveMode">true if we're in live mode, false for backtesting mode</param>
/// <returns>String URL of source file.</returns>
public override SubscriptionDataSource GetSource(SubscriptionDataConfig config, DateTime date, bool isLiveMode)
{
if (isLiveMode)
{
return new SubscriptionDataSource("https://www.bitstamp.net/api/ticker/", SubscriptionTransportMedium.Rest);
}
//return "http://my-ftp-server.com/futures-data-" + date.ToString("Ymd") + ".zip";
// OR simply return a fixed small data file. Large files will slow down your backtest
return new SubscriptionDataSource("http://www.quandl.com/api/v1/datasets/BITCOIN/BITSTAMPUSD.csv?sort_order=asc", SubscriptionTransportMedium.RemoteFile);
}
/// <summary>
/// 3. READER METHOD: Read 1 line from data source and convert it into Object.
/// Each line of the CSV File is presented in here. The backend downloads your file, loads it into memory and then line by line
/// feeds it into your algorithm
/// </summary>
/// <param name="line">string line from the data source file submitted above</param>
/// <param name="config">Subscription data, symbol name, data type</param>
/// <param name="date">Current date we're requesting. This allows you to break up the data source into daily files.</param>
/// <param name="isLiveMode">true if we're in live mode, false for backtesting mode</param>
/// <returns>New Bitcoin Object which extends BaseData.</returns>
public override BaseData Reader(SubscriptionDataConfig config, string line, DateTime date, bool isLiveMode)
{
var coin = new Bitcoin();
if (isLiveMode)
{
//Example Line Format:
//{"high": "441.00", "last": "421.86", "timestamp": "1411606877", "bid": "421.96", "vwap": "428.58", "volume": "14120.40683975", "low": "418.83", "ask": "421.99"}
try
{
var liveBTC = JsonConvert.DeserializeObject<LiveBitcoin>(line);
coin.Time = DateTime.Now;
coin.Open = liveBTC.Last;
coin.High = liveBTC.High;
coin.Low = liveBTC.Low;
coin.Close = liveBTC.Last;
coin.VolumeBTC = liveBTC.Volume;
coin.WeightedPrice = liveBTC.VWAP;
coin.Symbol = "BTC";
coin.Value = coin.Close;
}
catch { /* Do nothing, possible error in json decoding */ }
return coin;
}
//Example Line Format:
//Date Open High Low Close Volume (BTC) Volume (Currency) Weighted Price
//2011-09-13 5.8 6.0 5.65 5.97 58.37138238, 346.0973893944 5.929230648356
try
{
string[] data = line.Split(',');
coin.Time = DateTime.Parse(data[0]);
coin.Open = Convert.ToDecimal(data[1], CultureInfo.InvariantCulture);
coin.High = Convert.ToDecimal(data[2], CultureInfo.InvariantCulture);
coin.Low = Convert.ToDecimal(data[3], CultureInfo.InvariantCulture);
coin.Close = Convert.ToDecimal(data[4], CultureInfo.InvariantCulture);
coin.VolumeBTC = Convert.ToDecimal(data[5], CultureInfo.InvariantCulture);
coin.VolumeUSD = Convert.ToDecimal(data[6], CultureInfo.InvariantCulture);
coin.WeightedPrice = Convert.ToDecimal(data[7], CultureInfo.InvariantCulture);
coin.Symbol = "BTC";
coin.Value = coin.Close;
}
catch { /* Do nothing, skip first title row */ }
return coin;
}
}
/// <summary>
/// Live data structure
/// </summary>
public class LiveBitcoin
{
public int Timestamp = 0;
public decimal Last = 0;
public decimal High = 0;
public decimal Low = 0;
public decimal Bid = 0;
public decimal Ask = 0;
public decimal VWAP = 0;
public decimal Volume = 0;
}
}using Newtonsoft.Json;
namespace QuantConnect
{
/*
* QuantConnect University - Example of Hooking up Custom Live Data
*
* There are many great API's for live bitcoin data - including "bitstamp". In this algorithm
* we connect the live datafeed of bitstamp to a QuantConnect algorithm and can make trading
* decisions based on the custom datafeed.
*
* Currently only polling REST API's supported but we will soon add support for socket connections.
*
* SEE BITCOIN.CS FOR THE LIVE DATA IMPLEMENTATION
*/
public class BTCLive : QCAlgorithm
{
//Initialize the data and resolution you require for your strategy:
public override void Initialize()
{
var res = Resolution.Second;
SetStartDate(2013,01,01);
SetEndDate(2014,01,01);
AddData<Bitcoin>("BTC", res);
SetCash(10000);
}
//New Bitcoin Data Event:
public void OnData(Bitcoin data)
{
if (!Portfolio.Invested) Order("BTC", 100);
//Generate running statistic for headers.
if (LiveMode)
{
SetRuntimeStatistic("BTC", data.Close.ToString("C"));
}
}
//Unused OnData TradeBars
public void OnData(TradeBars data)
{ }
}
}