-
Notifications
You must be signed in to change notification settings - Fork 2
TEMA
essegisolutions edited this page Jan 13, 2018
·
8 revisions
This API returns the triple exponential moving average (TEMA) values. The related REST API documentation is here
The very first thing to do before diving into TEMA calls is to include the right namespace.
using Avapi.AvapiTEMA
The TEMA 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 TEMA from it.
...
Int_TEMA tema =
connection.GetQueryObject_TEMA();
To perform a TEMA request you have 2 options:
- The request with constants:
IAvapiResponse_TEMA Query(string symbol,
TEMA_interval interval,
int time_period,
TEMA_series_type series_type);
- The request without constants:
IAvapiResponse_TEMA QueryPrimitive(string symbol,
string interval,
string time_period,
string series_type);
To perform an TEMA asynchronous request you have 2 options:
- The request with constants:
async Task<IAvapiResponse_TEMA> QueryAsync(string symbol,
TEMA_interval interval,
int time_period,
TEMA_series_type series_type);
- The request without constants:
async Task<IAvapiResponse_TEMA> QueryAsync(string symbol,
string interval,
string time_period,
string series_type);
The parameters below are needed to perform the TEMA 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:
- TEMA_interval
- TEMA_series_type
TEMA_interval: The time interval between two consecutive data points in the time series.
public enum TEMA_interval
{
none,
n_1min,
n_5min,
n_15min,
n_30min,
n_60min,
daily,
weekly,
monthly
}
TEMA_series_type: The price type in the time series. The types supported are: close, open, high, low
public enum TEMA_series_type
{
none,
close,
open,
high,
low
}
The response of a TEMA request is an object that implements the IAvapiResponse_TEMA interface.
public interface IAvapiResponse_TEMA
{
string RawData
{
get;
}
IAvapiResponse_TEMA_Content Data
{
get;
}
}
The IAvapiResponse_TEMA 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_TEMA_Content.
Complete Example of a Console App: Display the result of a TEMA request by using the method Query (synchronous request)
using System;
using System.IO;
using Avapi.AvapiTEMA;
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 TEMA query object
Int_TEMA tema =
connection.GetQueryObject_TEMA();
// Perform the TEMA request and get the result
IAvapiResponse_TEMA temaResponse =
tema.Query(
"MSFT",
Const_TEMA.TEMA_interval.n_1min,
10,
Const_TEMA.TEMA_series_type.close);
// Printout the results
Console.WriteLine("******** RAW DATA TEMA ********");
Console.WriteLine(temaResponse.RawData);
Console.WriteLine("******** STRUCTURED DATA TEMA ********");
var data = temaResponse.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("TEMA: " + technical.TEMA);
Console.WriteLine("DateTime: " + technical.DateTime);
Console.WriteLine("========================");
}
}
}
}
}
Complete Example of a Windows Form App: Display the result of a TEMA request by using the method QueryAsync (asynchronous request)
using Avapi;
using Avapi.AvapiTEMA
using System;
using System.Windows.Forms;
namespace WindowsFormsApp1
{
public partial class Form1 : Form
{
private IAvapiConnection m_connection = AvapiConnection.Instance;
private Int_TEMA m_tema;
private IAvapiResponse_TEMA m_temaResponse;
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 TEMA query object
m_tema = m_connection.GetQueryObject_TEMA();
base.OnLoad(e);
}
private async void TEMAAsyncButton_Click(object sender, EventArgs e)
{
// Perform the TEMA request and get the result
m_temaResponse =
await m_tema.QueryAsync(
"MSFT",
Const_TEMA.TEMA_interval.n_1min,
10,
Const_TEMA.TEMA_series_type.close);
// Show the results
resultTextBox.AppendText("******** RAW DATA TEMA ********" + "\n");
resultTextBox.AppendText(m_temaResponse.RawData + "\n");
resultTextBox.AppendText("******** STRUCTURED DATA TEMA ********" + "\n");
var data = m_temaResponse.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("TEMA: " + technical.TEMA + "\n");
resultTextBox.AppendText("DateTime: " + technical.DateTime + "\n");
resultTextBox.AppendText("========================" + "\n");
}
}
}
}
}