Get real-time bitcoin futures price on Binance using WebSocket

For a trader or investor, access to real-time prices is crucial for making informed decisions. In this article, we will look at how to set up a WebSocket connection with live price tracking for the BTCUSDT spot and futures market on Binance.

Prerequisites

Before you start, make sure that:

• You have a Binance API key or access token.

• Your trading account is verified and connected to your Binance account.

• You have installed the pandas library in your Python environment (install with pip install pandas).

Real-time WebSocket connection establishment for spot market

To connect to the Bitcoin (BTC) spot market on Binance, you need to use the klines_1m endpoint and specify the futures indicator. Here is an example code snippet:

Python

import pandas as pd

Set your API key or access token

api_key = ‘YOUR_API_KEY’

api_secret = ‘YOUR_API_SECRET’

Connect to the Binance API

client = binary.Client(api_id=api_key, api_key_secret=api_secret)

Define the WebSocket endpoint and channel (spot market)

ws_endpoint = f”wss://stream.binance.com:9443/ws/dotusdt@kline_1m”

channel = “BTCUSDT”

Initialize an empty DataFrame to store data

df = pd.DataFrame()

while Truth:

Get new klines from a WebSocket connection

response = client.get_channel(ws_endpoint, channel)

Iteration for each wedge (interval 1 minute)

for the line in the response:

Extract relevant data (eg timestamp, open, high, low, close, volume)

data = {

‘timestamp’: pd.to_datetime(string[‘t’]),

‘open’: float(string[‘o’]),

‘high’: float(string[‘h’]),

‘low’: float(string[‘l’]),

‘close’: float(string[‘c’]),

‘volume’: float(string[‘v’])

}

Add data to the DataFrame

df = pd.concat([df, pd.DataFrame(data)], ignore_index=True)

Check if there are new data points

if not df.empty:

Print prices in real time (optional)

print(f”BTCUSDT price in real time: {df[‘close’].max()}”)

Update yours trading logic or notification mechanisms here

Exit the loop when you’re ready to stop listening

a break

Close the WebSocket connection when finished

client.disconnect()

“

Get real-time prices for BTCUSDT futures

To connect to the futures market (FUT) on Binance, you need to use thekline_1mendpoint and specify thefutures` indicator. Here is an example code snippet:

Python

… the same as above

while Truth:

Get new klines from a WebSocket connection

response = client.get_channel(ws_endpoint, channel)

Iteration for each wedge (1 minute interval)

for the line in the response:

Extract relevant data (eg timestamp, open, high, low, close, volume)

data = {

‘timestamp’: pd.to_datetime(string[‘t’]),

‘open’: float(string[‘o’]),

‘high’: float(string[‘h’]),

‘low’: float(string[‘l’]),

‘close’: float(string[‘c’]),

‘volume’: float(string[‘v’])

}

Add data to the DataFrame

df = pd.concat([df, pd.DataFrame(data)], ignore_index=True)

Check if there are new data points

if not df.empty:

Print prices in real time (optional)

print(f”BTCUSDT futures price in real time: {df[‘close’].max()}”)

Update your trading logic or notification mechanisms here

Exit the loop when you’re ready to stop listening

a break

Close the WebSocket connection when finished

the client.

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