How to run the library
This tutorial describes how to run the library on your machine. You can also watch the video below that demonstrates running the library step-by-step.
Prepare the Projectβ
Download the the library ZIP file from the Advanced Charts π (restricted access) / Trading Terminal π (restricted access) repository.
Create a new folder (
example
in this tutorial). Copy thecharting_library
anddatafeed
folders from the archive toexample
.Create the following
index.html
file in theexample
folder:/example/index.html<!DOCTYPE HTML>
<html lang="en">
<head>
<meta charset = "UTF-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
</head>
<body>
</body>
</html>Add two script references into the
<head>
section:<script src="charting_library/charting_library.standalone.js"></script>
<script src="datafeeds/udf/dist/bundle.js"></script>charting_library/charting_library.standalone.js
contains the code that creates the chart widget.datafeeds/udf/dist/bundle.js
contains a sample datafeed implementation that loads data to the chart.
Define the container for the chart in the
<body>
section:<div id="chartContainer"></div>
To create a chart, you should initialize the Widget Constructor in
<body>
. To do this, configure some basic Widget Constructor parameters:<script>
new TradingView.widget({
container: 'chartContainer',
locale: 'en',
library_path: 'charting_library/',
datafeed: new Datafeeds.UDFCompatibleDatafeed("https://demo-feed-data.tradingview.com"),
symbol: 'AAPL',
interval: '1D',
fullscreen: true,
debug: true
});
</script>container
is set to the container ID from the previous step.library_path
specifies a path to additional HTML, JavaScript, and CSS files that allow you to render the chart. In this tutorial, thecharting_library
folder stores these files.datafeed
is set to theUDFCompatibleDatafeed
sample that TradingView provides.
Run the Libraryβ
Execute the following command in the
example
folder to run the library locally.python -m http.server 9090
noteIn this tutorial, the Python
http.server
module is used. You can use any server/port that you prefer.Open
http://localhost:9090/
in your web browser to see the result.
Complete Codeβ
<!DOCTYPE HTML>
<html lang="en">
<head>
<meta charset = "UTF-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>TradingView - Advanced Charts</title>
<script src="charting_library/charting_library.standalone.js"></script>
<script src="datafeeds/udf/dist/bundle.js"></script>
</head>
<body>
<div id="chartContainer"></div>
<script>
new TradingView.widget({
container: 'chartContainer',
locale: 'en',
library_path: 'charting_library/',
datafeed: new Datafeeds.UDFCompatibleDatafeed("https://demo-feed-data.tradingview.com"),
symbol: 'AAPL',
interval: '1D',
fullscreen: true,
debug: true,
});
</script>
</body>
</html>
What's next?β
In this tutorial, you have set up Widget Constructor and a static chart. You can follow the How to connect data via Datafeed API tutorial to learn more about implementing real-time data streaming.