Convert Figma logo to code with AI

sammchardy logopython-binance

Binance Exchange API python implementation for automated trading

6,215
2,238
6,215
498

Top Related Projects

Simple connector to Binance Public API

33,624

A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges

Python wrapper for the CoinGecko API

Quick Overview

python-binance is a Python library that provides a convenient way to interact with the Binance cryptocurrency exchange API. It offers a comprehensive set of functions for trading, account management, and market data retrieval, making it easier for developers to build trading bots and other applications that integrate with Binance.

Pros

  • Comprehensive coverage of Binance API endpoints
  • Well-documented and actively maintained
  • Supports both REST and WebSocket connections
  • Includes helpful utility functions for common tasks

Cons

  • Requires API key and secret for authenticated endpoints
  • May need frequent updates to keep up with Binance API changes
  • Limited built-in error handling for some edge cases
  • Potential for rate limiting issues if not used carefully

Code Examples

  1. Fetching current Bitcoin price:
from binance.client import Client

client = Client()
btc_price = client.get_symbol_ticker(symbol="BTCUSDT")
print(f"Current BTC price: ${btc_price['price']}")
  1. Placing a market order:
from binance.client import Client

client = Client(api_key, api_secret)
order = client.create_order(
    symbol='BTCUSDT',
    side=Client.SIDE_BUY,
    type=Client.ORDER_TYPE_MARKET,
    quantity=0.1
)
print(f"Order placed: {order['orderId']}")
  1. Streaming live trade data:
from binance.websockets import BinanceSocketManager
from binance.client import Client

def process_message(msg):
    print(f"Trade: {msg['s']} price: {msg['p']} quantity: {msg['q']}")

client = Client()
bm = BinanceSocketManager(client)
conn_key = bm.start_trade_socket('BTCUSDT', process_message)
bm.start()

Getting Started

To get started with python-binance:

  1. Install the library:

    pip install python-binance
    
  2. Import and initialize the client:

    from binance.client import Client
    
    # For public endpoints
    client = Client()
    
    # For authenticated endpoints
    client = Client(api_key='your_api_key', api_secret='your_api_secret')
    
  3. Start making API calls:

    # Get account information
    account_info = client.get_account()
    print(account_info)
    
    # Get current BTC price
    btc_price = client.get_symbol_ticker(symbol="BTCUSDT")
    print(f"Current BTC price: ${btc_price['price']}")
    

Competitor Comparisons

Simple connector to Binance Public API

Pros of binance-connector-python

  • Official Binance library, ensuring up-to-date API compatibility
  • Comprehensive documentation and examples provided by Binance
  • Supports both REST API and WebSocket connections

Cons of binance-connector-python

  • Less community-driven development and contributions
  • May have a steeper learning curve for beginners
  • Fewer additional features beyond core API functionality

Code Comparison

python-binance:

from binance.client import Client

client = Client(api_key, api_secret)
prices = client.get_all_tickers()

binance-connector-python:

from binance.spot import Spot

client = Spot(api_key=api_key, api_secret=api_secret)
prices = client.ticker_price()

Both libraries offer similar functionality, but binance-connector-python uses a more modular approach with separate classes for different API sections (e.g., Spot, Futures).

python-binance provides a more user-friendly interface with additional helper methods and error handling, while binance-connector-python offers a more direct mapping to the Binance API endpoints.

Ultimately, the choice between these libraries depends on specific project requirements, familiarity with the Binance API, and preference for community-driven vs. official support.

33,624

A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges

Pros of ccxt

  • Supports multiple exchanges (100+) with a unified API
  • Actively maintained with frequent updates
  • Extensive documentation and community support

Cons of ccxt

  • Steeper learning curve due to its comprehensive nature
  • May have slower performance for single-exchange use cases

Code Comparison

python-binance:

from binance.client import Client

client = Client(api_key, api_secret)
ticker = client.get_symbol_ticker(symbol="BTCUSDT")
print(ticker["price"])

ccxt:

import ccxt

exchange = ccxt.binance({'apiKey': api_key, 'secret': api_secret})
ticker = exchange.fetch_ticker('BTC/USDT')
print(ticker['last'])

Summary

python-binance is specifically designed for Binance, offering a straightforward API for this exchange. It's ideal for projects focused solely on Binance trading.

ccxt provides a unified interface for multiple exchanges, making it versatile for multi-exchange trading systems. However, this comes with added complexity and potentially slower performance for single-exchange use cases.

Choose python-binance for Binance-specific projects with simpler requirements, and ccxt for multi-exchange support or more complex trading systems.

Python wrapper for the CoinGecko API

Pros of pycoingecko

  • Focuses on cryptocurrency market data from CoinGecko, offering a wider range of coin information
  • Simpler API with fewer dependencies, making it easier to integrate for general market data needs
  • Provides access to historical data, trending coins, and global market information

Cons of pycoingecko

  • Limited to CoinGecko data, not suitable for trading on specific exchanges
  • Lacks real-time websocket functionality for live price updates
  • Does not include order placement or account management features

Code Comparison

pycoingecko:

from pycoingecko import CoinGeckoAPI
cg = CoinGeckoAPI()
bitcoin_data = cg.get_coin_by_id(id='bitcoin')

python-binance:

from binance.client import Client
client = Client(api_key, api_secret)
btc_price = client.get_symbol_ticker(symbol="BTCUSDT")

The pycoingecko code retrieves comprehensive data for Bitcoin from CoinGecko, while python-binance fetches the current price of BTC/USDT pair from Binance. python-binance requires API credentials and is tailored for Binance-specific operations, whereas pycoingecko provides general market data without authentication.

Convert Figma logo designs to code with AI

Visual Copilot

Introducing Visual Copilot: A new AI model to turn Figma designs to high quality code using your components.

Try Visual Copilot

README

================================= Welcome to python-binance v1.0.25

.. image:: https://img.shields.io/pypi/v/python-binance.svg :target: https://pypi.python.org/pypi/python-binance

.. image:: https://img.shields.io/pypi/l/python-binance.svg :target: https://pypi.python.org/pypi/python-binance

.. image:: https://img.shields.io/coveralls/sammchardy/python-binance.svg :target: https://coveralls.io/github/sammchardy/python-binance

.. image:: https://img.shields.io/pypi/wheel/python-binance.svg :target: https://pypi.python.org/pypi/python-binance

.. image:: https://img.shields.io/pypi/pyversions/python-binance.svg :target: https://pypi.python.org/pypi/python-binance

.. image:: https://img.shields.io/badge/Telegram-Join%20Us-blue?logo=Telegram :target: https://t.me/python_binance

This is an unofficial Python wrapper for the Binance exchange REST API v3 <https://binance-docs.github.io/apidocs/spot/en>_.

If you came here looking for the Binance exchange <https://accounts.binance.com/register?ref=PGDFCE46>_ to purchase cryptocurrencies, then go here <https://accounts.binance.com/register?ref=PGDFCE46>_. If you want to automate interactions with Binance stick around.

.. |ico1| image:: https://avatars.githubusercontent.com/u/31901609?s=48&v=4 :target: https://github.com/ccxt/ccxt :height: 3ex :align: middle

This project is powered by |ico1|

Please make sure your python-binance version is v.1.0.20 or higher. The previous versions are no longer recommended because some endpoints have been deprecated.

Source code https://github.com/sammchardy/python-binance

Documentation https://python-binance.readthedocs.io/en/latest/

Community Telegram Chat https://t.me/python_binance

Announcements Channel https://t.me/python_binance_announcements

Examples including async https://github.com/sammchardy/python-binance/tree/master/examples

  • Async basics for Binance <https://sammchardy.github.io/binance/2021/05/01/async-binance-basics.html>_
  • Understanding Binance Order Filters <https://sammchardy.github.io/binance/2021/05/03/binance-order-filters.html>_

Make sure you update often and check the Changelog <https://python-binance.readthedocs.io/en/latest/changelog.html>_ for new features and bug fixes.

Your contributions, suggestions, and fixes are always welcome! Don't hesitate to open a GitHub issue or reach out to us on our Telegram chat

Features

  • Implementation of all General, Market Data and Account endpoints.
  • Asyncio implementation
  • Testnet support for Spot, Futures and Vanilla Options
  • Simple handling of authentication include RSA and EDDSA keys
  • No need to generate timestamps yourself, the wrapper does it for you
  • RecvWindow sent by default
  • Response exception handling
  • Customizable HTTP headers
  • Websocket handling with reconnection and multiplexed connections
  • CRUD over websockets, create/fetch/edit through websockets for minimum latency.
  • Symbol Depth Cache
  • Historical Kline/Candle fetching function
  • Withdraw functionality
  • Deposit addresses
  • Margin Trading
  • Futures Trading
  • Porfolio Margin Trading
  • Vanilla Options
  • Proxy support (REST and WS)
  • Orjson support for faster JSON parsing
  • Support other domains (.us, .jp, etc)
  • Support for the Gift Card API

Upgrading to v1.0.0+

The breaking changes include the migration from wapi to sapi endpoints which related to the wallet endpoints detailed in the Binance Docs <https://binance-docs.github.io/apidocs/spot/en/#wallet-endpoints>_

The other breaking change is for websocket streams and the Depth Cache Manager which have been converted to use Asynchronous Context Managers. See examples in the Async section below or view the websockets <https://python-binance.readthedocs.io/en/latest/websockets.html>_ and depth cache <https://python-binance.readthedocs.io/en/latest/depth_cache.html>_ docs.

Quick Start

Register an account with Binance <https://accounts.binance.com/register?ref=PGDFCE46>_.

Generate an API Key <https://www.binance.com/en/my/settings/api-management>_ and assign relevant permissions.

If you are using an exchange from the US, Japan or other TLD then make sure pass tld='us' when creating the client.

To use the Spot <https://testnet.binance.vision/>, Vanilla Options <https://testnet.binanceops.com/> , or Futures <https://testnet.binancefuture.com>_ Testnet pass testnet=True when creating the client.

.. code:: bash

pip install python-binance

.. code:: python

from binance import Client, ThreadedWebsocketManager, ThreadedDepthCacheManager
client = Client(api_key, api_secret)

# get market depth
depth = client.get_order_book(symbol='BNBBTC')

# place a test market buy order, to place an actual order use the create_order function
order = client.create_test_order(
    symbol='BNBBTC',
    side=Client.SIDE_BUY,
    type=Client.ORDER_TYPE_MARKET,
    quantity=100)

# get all symbol prices
prices = client.get_all_tickers()

# withdraw 100 ETH
# check docs for assumptions around withdrawals
from binance.exceptions import BinanceAPIException
try:
    result = client.withdraw(
        asset='ETH',
        address='<eth_address>',
        amount=100)
except BinanceAPIException as e:
    print(e)
else:
    print("Success")

# fetch list of withdrawals
withdraws = client.get_withdraw_history()

# fetch list of ETH withdrawals
eth_withdraws = client.get_withdraw_history(coin='ETH')

# get a deposit address for BTC
address = client.get_deposit_address(coin='BTC')

# get historical kline data from any date range

# fetch 1 minute klines for the last day up until now
klines = client.get_historical_klines("BNBBTC", Client.KLINE_INTERVAL_1MINUTE, "1 day ago UTC")

# fetch 30 minute klines for the last month of 2017
klines = client.get_historical_klines("ETHBTC", Client.KLINE_INTERVAL_30MINUTE, "1 Dec, 2017", "1 Jan, 2018")

# fetch weekly klines since it listed
klines = client.get_historical_klines("NEOBTC", Client.KLINE_INTERVAL_1WEEK, "1 Jan, 2017")

# create order through websockets
order_ws = client.ws_create_order( symbol="LTCUSDT", side="BUY", type="MARKET", quantity=0.1)

# get account using custom headers
account = client.get_account(headers={'MyCustomKey': 'MyCustomValue'})

# socket manager using threads
twm = ThreadedWebsocketManager()
twm.start()

# depth cache manager using threads
dcm = ThreadedDepthCacheManager()
dcm.start()

def handle_socket_message(msg):
    print(f"message type: {msg['e']}")
    print(msg)

def handle_dcm_message(depth_cache):
    print(f"symbol {depth_cache.symbol}")
    print("top 5 bids")
    print(depth_cache.get_bids()[:5])
    print("top 5 asks")
    print(depth_cache.get_asks()[:5])
    print("last update time {}".format(depth_cache.update_time))

twm.start_kline_socket(callback=handle_socket_message, symbol='BNBBTC')

dcm.start_depth_cache(callback=handle_dcm_message, symbol='ETHBTC')

# replace with a current options symbol
options_symbol = 'BTC-241227-41000-C'
dcm.start_options_depth_cache(callback=handle_dcm_message, symbol=options_symbol)

# join the threaded managers to the main thread
twm.join()
dcm.join()

For more check out the documentation <https://python-binance.readthedocs.io/en/latest/>_.

Async Example

Read Async basics for Binance <https://sammchardy.github.io/binance/2021/05/01/async-binance-basics.html>_ for more information.

.. code:: python

import asyncio
import json

from binance import AsyncClient, DepthCacheManager, BinanceSocketManager

async def main():

    # initialise the client
    client = await AsyncClient.create()

    # run some simple requests
    print(json.dumps(await client.get_exchange_info(), indent=2))

    print(json.dumps(await client.get_symbol_ticker(symbol="BTCUSDT"), indent=2))

    # initialise websocket factory manager
    bsm = BinanceSocketManager(client)

    # create listener using async with
    # this will exit and close the connection after 5 messages
    async with bsm.trade_socket('ETHBTC') as ts:
        for _ in range(5):
            res = await ts.recv()
            print(f'recv {res}')

    # get historical kline data from any date range

    # fetch 1 minute klines for the last day up until now
    klines = client.get_historical_klines("BNBBTC", AsyncClient.KLINE_INTERVAL_1MINUTE, "1 day ago UTC")

    # use generator to fetch 1 minute klines for the last day up until now
    async for kline in await client.get_historical_klines_generator("BNBBTC", AsyncClient.KLINE_INTERVAL_1MINUTE, "1 day ago UTC"):
        print(kline)

    # fetch 30 minute klines for the last month of 2017
    klines = await client.get_historical_klines("ETHBTC", Client.KLINE_INTERVAL_30MINUTE, "1 Dec, 2017", "1 Jan, 2018")

    # fetch weekly klines since it listed
    klines = await client.get_historical_klines("NEOBTC", Client.KLINE_INTERVAL_1WEEK, "1 Jan, 2017")

    # create order through websockets
    order_ws = await client.ws_create_order( symbol="LTCUSDT", side="BUY", type="MARKET", quantity=0.1)

    # setup an async context the Depth Cache and exit after 5 messages
    async with DepthCacheManager(client, symbol='ETHBTC') as dcm_socket:
        for _ in range(5):
            depth_cache = await dcm_socket.recv()
            print(f"symbol {depth_cache.symbol} updated:{depth_cache.update_time}")
            print("Top 5 asks:")
            print(depth_cache.get_asks()[:5])
            print("Top 5 bids:")
            print(depth_cache.get_bids()[:5])

    # Vanilla options Depth Cache works the same, update the symbol to a current one
    options_symbol = 'BTC-241227-41000-C'
    async with OptionsDepthCacheManager(client, symbol=options_symbol) as dcm_socket:
        for _ in range(5):
            depth_cache = await dcm_socket.recv()
            count += 1
            print(f"symbol {depth_cache.symbol} updated:{depth_cache.update_time}")
            print("Top 5 asks:")
            print(depth_cache.get_asks()[:5])
            print("Top 5 bids:")
            print(depth_cache.get_bids()[:5])

    await client.close_connection()

if __name__ == "__main__":
    loop = asyncio.get_event_loop()
    loop.run_until_complete(main())

The library is under MIT license, that means it's absolutely free for any developer to build commercial and opensource software on top of it, but use it at your own risk with no warranties, as is.

Orjson support

Python-binance also supports orjson for parsing JSON since it is much faster than the builtin library. This is especially important when using websockets because some exchanges return big messages that need to be parsed and dispatched as quickly as possible.

However, orjson is not enabled by default because it is not supported by every python interpreter. If you want to opt-in, you just need to install it (pip install orjson) on your local environment. Python-binance will detect the installion and pick it up automatically.

Star history

.. image:: https://api.star-history.com/svg?repos=sammchardy/python-binance&type=Date :target: https://api.star-history.com/svg?repos=sammchardy/python-binance&type=Date

Contact Us

For business inquiries: info@ccxt.trade

Other Exchanges

  • Check out CCXT <https://github.com/ccxt/ccxt>_ for more than 100 crypto exchanges with a unified trading API.
  • If you use Kucoin <https://www.kucoin.com/ucenter/signup?rcode=E5wkqe>_ check out my python-kucoin <https://github.com/sammchardy/python-kucoin>_ library.