Get Real-Time Bitcoin Futures Price on Binance Using WebSocket

As a trader or investor, having access to real-time prices is essential for making informed decisions. In this article, we will explore how to establish a real-time price WebSocket connection for the Spot Market and Futures BTCUSDT on Binance.

Prerequisites

Before you begin, 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 using “pip install pandas”).

Creating a Real-Time Price WebSocket Connection for the 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:

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 WebSocket endpoint and channel (dot market)
ws_endpoint = f"wss://stream.binance.com:9443/ws/dotusdt@kline_1m"
channel = "BTCUSDT"

Initialize an empty data frame to store data
df = pd.DataFrame()
while true:

Get new lines from the WebSocket connection
response = client.get_channel(ws_endpoint, channel)

Iterate over each line (1 minute interval)
for response line:

Extract the relevant data (e.g. timestamp, open, high, low, close, volume)
data = {
'timestamp': pd.to_datetime(line['t']),
'open': float(line['o']),

            'high': float(line['h']),

            'low': float(line['l']),

            'close': float(line['c']),

            'volume': float(line['v'])

        }

        

        
Add data to the DataFrame.

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

Check for new data points
if not df.empty:

Print real-time prices (optional)
print(f"Real-time BTCUSDT price: {df['close'].max()}")

Update your trading logic or notification mechanisms here

Break out of the loop when you're ready to stop listening
break

Close the WebSocket connection when you're done
client.disconnect()

Get real-time BTCUSDT futures price

To connect to the Binance Futures (FUT) market, you need to use the “kline_1m” endpoint and specify the “futures” indicator. Here is an example code snippet:

“` python

… same as above

while true:

Get new lines from the WebSocket connection

response = client.get_channel(ws_endpoint, channel)

Iterate over each line (1 minute interval)

for response line:

Extract the relevant data (e.g. timestamp, open, high, low, close, volume)

data = {

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

‘open’: float(line[‘o’]),

‘high’: float(line[‘h’]),

‘low’: float(line[‘l’]),

‘close’: float(line[‘c’]),

‘volume’: float(line[‘v’])

}

Add the data to the DataFrame.

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

Check for new data points

if not df.empty:

Print real-time prices (optional)

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

Update your trading logic or notification mechanisms here

Break out of the loop when you’re ready to stop listening

break

Close the WebSocket connection when you’re done

client.