Fetch data from !ticker@arr

Websocket
1

Hello,

I am very unexperienced with this.
But I cant find a way to fetch the data from !ticker@arr
could you by any way help me?

I try different ways such as

def on_message(ws, message):

try:
    json_message = json.loads(message)
    cs = json_message
    print(cs["e"])

Code:

import json

import websocket

import time

def on_message(ws, message):

    try:

        json_message = json.loads(message)
        print(json_message)
          
    except:
        print("Please wait..")
        time.sleep(1)    

def on_error(ws, error):

    print(error)

def on_close(ws, close_status_code, close_msg):

    print("connection closed")

def on_open(ws):

    print("Opened connection")

socket = "wss://fstream.binance.com/ws/!ticker@arr"
ws = websocket.WebSocketApp(socket, on_message=on_message, on_close=on_close)
ws.run_forever()

output:
[{‘e’: ‘24hrTicker’, ‘E’: 1653386244134, ‘s’: ‘BTCUSDT’, ‘p’: ‘-1188.00’, ‘P’: ‘-3.901’, ‘w’: ‘29737.47’, ‘c’: ‘29268.10’, ‘Q’: ‘0.001’, ‘o’: ‘30456.10’, ‘h’: ‘30624.90’, ‘l’: ‘28840.70’, ‘v’: ‘448814.969’, ‘q’: ‘13346619946.10’, ‘O’: 1653299820000, ‘C’: 1653386244131, ‘F’: 2279373613, ‘L’: 2283415610, ‘n’: 4041918}, {‘e’: ‘24hrTicker’, ‘E’: 1653386244109, ‘s’: ‘AUDIOUSDT’, ‘p’: ‘-0.0375’, ‘P’: ‘-7.742’, ‘w’: ‘0.4690’, ‘c’: ‘0.4469’, ‘Q’: ‘12’, ‘o’: ‘0.4844’, ‘h’: ‘0.5071’, ‘l’: ‘0.4347’, ‘v’: ‘100606416’, ‘q’: ‘47184918.0000’, ‘O’: 1653299820000, ‘C’: 1653386244090, ‘F’: 75877444, ‘L’: 76060568, ‘n’: 183125},…

2

I don’t see any error here, you have received ticker info from multi symbols.

3

Hello Dino,

I dont know if what I say makes sense, but what i want is not to have an output like that.
What I wish to have is something like :

BTCUSDT: lastPrice: 20000
ETHUSDT: lastPrice 5000
…

Is this possible?
I cant manage to find how to do that

And I am finding this limitation on having to use the futures api for ticker_size too which seems to be giving the output exactly in this way.

Thanks

4

that can be easily done in your side. Ge the data from streams, and pick the value you need, discard those you don’t.

1 Like