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DEMA
essegisolutions edited this page Jan 13, 2018
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This API returns the double exponential moving average (DEMA) values. The related REST API documentation is here
The very first thing to do before diving into DEMA calls is to include the right namespace.
using Avapi.AvapiDEMA
The DEMA object is retrieved from the Connection object.
The snippet below shows how to get the Connection object:
...
IAvapiConnection connection = AvapiConnection.Instance
connection.Connect("Your Alpha Vantage API Key !!!!");
...
Once you got the Connection object you can extract the DEMA from it.
...
Int_DEMA dema =
connection.GetQueryObject_DEMA();
To perform a DEMA request you have 2 options:
- The request with constants:
IAvapiResponse_DEMA Query(string symbol,
DEMA_interval interval,
int time_period,
DEMA_series_type series_type);
- The request without constants:
IAvapiResponse_DEMA QueryPrimitive(string symbol,
string interval,
string time_period,
string series_type);
To perform an DEMA asynchronous request you have 2 options:
- The request with constants:
async Task<IAvapiResponse_DEMA> QueryAsync(string symbol,
DEMA_interval interval,
int time_period,
DEMA_series_type series_type);
- The request without constants:
async Task<IAvapiResponse_DEMA> QueryAsync(string symbol,
string interval,
string time_period,
string series_type);
The parameters below are needed to perform the DEMA request.
- symbol: The name of the equity
- interval: The time interval between two consecutive data points in the time series.
- time_period: Number of data points used to calculate each moving average value.
- series_type: The price type in the time series. The types supported are: close, open, high, low
Please notice that the info above are copied from the official alphavantage documentation, that you can find here.
The request with constants implies the use of different enums:
- DEMA_interval
- DEMA_series_type
DEMA_interval: The time interval between two consecutive data points in the time series.
public enum DEMA_interval
{
none,
n_1min,
n_5min,
n_15min,
n_30min,
n_60min,
daily,
weekly,
monthly
}
DEMA_series_type: The price type in the time series. The types supported are: close, open, high, low
public enum DEMA_series_type
{
none,
close,
open,
high,
low
}
The response of a DEMA request is an object that implements the IAvapiResponse_DEMA interface.
public interface IAvapiResponse_DEMA
{
string RawData
{
get;
}
IAvapiResponse_DEMA_Content Data
{
get;
}
}
The IAvapiResponse_DEMA interface has two members: RawData and Data.
- RawData: represents the json response in string format.
- Data: It represents the parsed response in an object implementing the interface IAvapiResponse_DEMA_Content.
Complete Example of a Console App: Display the result of a DEMA request by using the method Query (synchronous request)
using System;
using System.IO;
using Avapi.AvapiDEMA;
namespace Avapi
{
public class Example
{
static void Main()
{
// Creating the connection object
IAvapiConnection connection = AvapiConnection.Instance;
// Set up the connection and pass the API_KEY provided by alphavantage.co
connection.Connect("Your Alpha Vantage API Key !!!!");
// Get the DEMA query object
Int_DEMA dema =
connection.GetQueryObject_DEMA();
// Perform the DEMA request and get the result
IAvapiResponse_DEMA demaResponse =
dema.Query(
"MSFT",
Const_DEMA.DEMA_interval.n_1min,
10,
Const_DEMA.DEMA_series_type.close);
// Printout the results
Console.WriteLine("******** RAW DATA DEMA ********");
Console.WriteLine(demaResponse.RawData);
Console.WriteLine("******** STRUCTURED DATA DEMA ********");
var data = demaResponse.Data;
if (data.Error)
{
Console.WriteLine(data.ErrorMessage);
}
else
{
Console.WriteLine("Symbol: " + data.MetaData.Symbol);
Console.WriteLine("Indicator: " + data.MetaData.Indicator);
Console.WriteLine("LastRefreshed: " + data.MetaData.LastRefreshed);
Console.WriteLine("Interval: " + data.MetaData.Interval);
Console.WriteLine("TimePeriod: " + data.MetaData.TimePeriod);
Console.WriteLine("SeriesType: " + data.MetaData.SeriesType);
Console.WriteLine("TimeZone: " + data.MetaData.TimeZone);
Console.WriteLine("========================");
Console.WriteLine("========================");
foreach (var technical in data.TechnicalIndicator)
{
Console.WriteLine("DEMA: " + technical.DEMA);
Console.WriteLine("DateTime: " + technical.DateTime);
Console.WriteLine("========================");
}
}
}
}
}
Complete Example of a Windows Form App: Display the result of a DEMA request by using the method QueryAsync (asynchronous request)
using Avapi;
using Avapi.AvapiDEMA
using System;
using System.Windows.Forms;
namespace WindowsFormsApp1
{
public partial class Form1 : Form
{
private IAvapiConnection m_connection = AvapiConnection.Instance;
private Int_DEMA m_dema;
private IAvapiResponse_DEMA m_demaResponse;
public Form1()
{
InitializeComponent();
}
protected override void OnLoad(EventArgs e)
{
// Set up the connection and pass the API_KEY provided by alphavantage.co
m_connection.Connect("Your Alpha Vantage Key");
// Get the DEMA query object
m_dema = m_connection.GetQueryObject_DEMA();
base.OnLoad(e);
}
private async void DEMAAsyncButton_Click(object sender, EventArgs e)
{
// Perform the DEMA request and get the result
m_demaResponse =
await m_dema.QueryAsync(
"MSFT",
Const_DEMA.DEMA_interval.n_1min,
10,
Const_DEMA.DEMA_series_type.close);
// Show the results
resultTextBox.AppendText("******** RAW DATA DEMA ********" + "\n");
resultTextBox.AppendText(m_demaResponse.RawData + "\n");
resultTextBox.AppendText("******** STRUCTURED DATA DEMA ********" + "\n");
var data = m_demaResponse.Data;
if (data.Error)
{
resultTextBox.AppendText(data.ErrorMessage + "\n");
}
else
{
resultTextBox.AppendText("Symbol: " + data.MetaData.Symbol + "\n");
resultTextBox.AppendText("Indicator: " + data.MetaData.Indicator + "\n");
resultTextBox.AppendText("LastRefreshed: " + data.MetaData.LastRefreshed + "\n");
resultTextBox.AppendText("Interval: " + data.MetaData.Interval + "\n");
resultTextBox.AppendText("TimePeriod: " + data.MetaData.TimePeriod + "\n");
resultTextBox.AppendText("SeriesType: " + data.MetaData.SeriesType + "\n");
resultTextBox.AppendText("TimeZone: " + data.MetaData.TimeZone + "\n");
resultTextBox.AppendText("========================" + "\n");
resultTextBox.AppendText("========================" + "\n");
foreach (var technical in data.TechnicalIndicator)
{
resultTextBox.AppendText("DEMA: " + technical.DEMA + "\n");
resultTextBox.AppendText("DateTime: " + technical.DateTime + "\n");
resultTextBox.AppendText("========================" + "\n");
}
}
}
}
}