예제 #1
0
    public static void Go()
    {
      // var is like 'dim'

      // make an array of size 10 - each initalized to the default double value i.e. 0d

      var arr = new double[10];

      // I could 'initialise' the values of this array in one call:

      arr = new double[] {1, 2, 3, 4, 5, 6, 7, 8, 9, 10};

      // an expanding construct is a list

      // make a list that I can only put doubles into

      var list = new List<double>();
      list.Add(1);
      list.Add(2);
      list.Add(3);

      // this is exactly the same as using an intializer:

      list = new List<double> {1, 2, 3};

      // I can use in built stuff to convert this to an array really easily

      double[] arr2 = list.ToArray();

      // dictionaries are lookups or hashmaps with types

      var birthdays = new Dictionary<string, DateTime>();
      birthdays.Add("Ben", new DateTime(1979, 12, 11));
      //or
      birthdays["Jess"] = new DateTime(1985, 1, 19);

      // note, the first method (.Add) will throw an exception if the item already exists, the second method will just overwrite

      // might be better to:
      if (birthdays.ContainsKey("Ben"))
        birthdays.Add("Ben", new DateTime(1979, 12, 11));

      // as we're dealing with time series a lot, I have created some classes that make it easier to work with dates and associated values

      // first of these is DatedDataCollection<T> where T is normally 'double'.

      // these are created with an array of Dates, and an array of 'Ts', which obviously must be of the same length, as the values correspond


      // NOTE: creating array on 1st, 3rd, 5th

      var dtsArray = new DateTime[] {new DateTime(2001, 1, 1), new DateTime(2001, 1, 3), new DateTime(2001, 1, 5)};
      var valuesArray = new double[] {1.21, 1.45, 1.65};

      var ddc = new DatedDataCollectionGen<double>(dtsArray, valuesArray);

      // obviously you wouldn't put normally create ddc like this - it normally gets populated from calls the the database or bbg initially, but we'll 
      // look at that later

      var date4th = new DateTime(2001, 1, 4);

      var value = ddc.ValueOnExactDate(date4th);  // this will fail as I'm insisting on the date being exact and there's nothing for 4th

      var value2 = ddc.ValueOnDate(date4th); // this will give me a value equal to that on the 3rd, since that is value for max date that is before 4th

      var value3 = ddc.ValueOnExactDate_Zero(date4th); // this won't fail but will pass back zero if there isn't an exact date

      // I've extended the classes to make it really easy to plot and see stuff

      ddc.DisplayColumnChart("Values in column chart");
      ddc.DisplayInGrid("values in grid");
      ddc.DisplayLineChart("Line chart");

      // this might be a bit of a leap, but I could very quickly extract EUR values from bloomberg in the following way, and display in a graph

      BbgTalk.HistoryRequester.GetHistory(new DateTime(2001, 1, 1),"EUR Curncy","PX_CLOSE",true)
        .DisplayLineChart("EUR from bbg from 2001");

      // what's this done?

      // BbgTalk.HistoryRequest knows how to connect to bloomberg and pulls out the series as a DatedDataCollection (so long as you're logged into bloomberg)

      DatedDataCollectionGen<double> euroSeries = BbgTalk.HistoryRequester.GetHistory(new DateTime(2001, 1, 1),
        "EUR Curncy", "PX_CLOSE", true);

      // then we displayed in a line chart:

      euroSeries.DisplayLineChart("EUR");

      // what else could we do with this euro series?

      // convert to returns:
      var euroReturns = euroSeries.ToReturns();
      var cumulative = euroReturns.ToCumulative();

      var stdFromMean = euroSeries.ToStdevFromMean(meanWindowLength_: 21, sdWindowLength_: 126);

      // I've also done a load of stuff to transform this series, take a look at HelperMethods.
      
      // often, we don't deal with individual price series, though we need inline data

      // for this I have made something called ConstructGen<T>, where again, T is normally a double

      var firstConstruct = new ConstructGen<double>(9);

      // this has made a construct that is set up to store dated values for 9 different variables

      // it's good to set the columnHeadings on the construct so you know what they refer to

      var headings = new string[] {"AUD", "CAD", "CHF", "EUR", "GBP", "JPY", "NOK", "NZD", "SEK"};
      firstConstruct.ColumnHeadings = headings;

      // (I'll show you how to do this more easily in a bit...

      // let's look at what we can do with construct and how we use it

      DateTime conDate = new DateTime(2014, 1, 1);

      firstConstruct.SetValue(conDate, 0, 100.2);

      // this has set the value for the first column (AUD) on the given Date

      // we get it out by:

      var v1 = firstConstruct.GetValue(conDate, 0);

      // set the second value:

      firstConstruct.SetValue(conDate, 1, 45.6);

      // this has set the value for the given date for 'CAD'

      // we could set all values at once using SetValues rather than SetValue

      firstConstruct.SetValues(conDate, new double[] {1, 2, 3, 4, 5, 6, 7, 8, 9});

      // and we could get them out using:

      double[] allValuesOnDate = firstConstruct.GetValues(conDate);

      // there are lots of methods on Construct<T> to make our life easier when dealing with data

      // we can fill it up randomly using the SetValues, and then just call SortKeys() to ensure teh dates are in order

      firstConstruct.SortKeys();

      // this means that we will be iterate over the dates in order when we go through it

      // e.g.

      foreach (DateTime date in firstConstruct.Dates)
      {
        var datesVAlues = firstConstruct.GetValues(date);

        // here we could process them...
      }

      // there are methods on ConstructGen<T> to make it easy to see what's in it.  e.g.

      firstConstruct.DisplayInGrid("Grid of construct values");
      firstConstruct.DisplayInDataCollectionDisplay("Display each column as a line in a chart");

      // there is also a useful method to get the column of values as a DatedDataCollection<T>

      DatedDataCollectionGen<double> firstColumn = firstConstruct.GetColumnValuesAsDDC(0);

      // this is an expensive operation FYI, so you wouldn't use this iterating over the dates within the ConstructGen<T> , but it is useful

      
      // ok, now, as we have a set universe of ccys, in the way I extract data from the database (prices / weights / carry / etc) I tend to pull
      // out in a standard way, making a ConstructGen<double> with a column for every currency in the universe

      // so, for example, if I wanted the spots from the database from 2013 onwards, I would call this

      SI.Data.FXSpots spotsProvider = new FXSpots();

      ConstructGen<double> spots = spotsProvider.GetData(new DateTime(2013, 1, 1), DateTime.Today);

      // this returns me a ConstructGen<double> with 27 columns, with each row being a date 

      // I can then use the spots values as I wish

      // similarly

      SI.Data.FXForwards1Wk fwdProvider = new FXForwards1Wk();

      ConstructGen<double> fwds = fwdProvider.GetData(new DateTime(2013, 1, 1), DateTime.Today);

      // within these classes, the data is cached, so that I don't call the database again if I don't need to

      // so if I call for the second time:

      var spots2 = spotsProvider.GetData(new DateTime(2013, 1, 1), DateTime.Today);

      // ... this won't have hit the database again, but will get from the cached data

      // but you'll notice that i have to have a reference to spotsProvider to benefit from the cached data.
      // if I was to make the same request from another point in my code, I would have to create a new FXSpots() instance and then call the method on it to get the data

      // it can be useful in this instance to make use of what's known as the 'Singleton' pattern.
      // This basically provides a means of referring to the same instance every time, in this case so that we make use of cached data

      // I have a Singleton<T> wrapper that wraps up a single instance of T so that I know I'm calling methods on the same instance every time

      // so I would usually get spots from the database wrapping FXSpots in this.  like:

      spots = Singleton<FXSpots>.Instance.GetData(new DateTime(2013, 1, 1), DateTime.Today);

      // now I could call the method on Singleton<FXSpots>.Instance from anywhere in my code and I would benefit from the caching

      // I do tend to use most of the classes that retrive from the database Within SI.Data wrapped in a Singleton

      // another example is the class that pulls information about signals

      var signals = Singleton<Signals>.Instance;

      // this is just a list of SI.Data.Signal classes

      

    }