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Welcome to python-binance v0.7.0

This is an unofficial Python wrapper for the Binance exchange REST API v1. I am in no way affiliated with Binance, use at your own risk.

If you came here looking for the Binance exchange to purchase cryptocurrencies, then go here. If you want to automate interactions with Binance stick around.

Source code
Binance API Telegram

Make sure you update often and check the Changelog for new features and bug fixes.


  • Implementation of all General, Market Data and Account endpoints.
  • Simple handling of authentication
  • No need to generate timestamps yourself, the wrapper does it for you
  • Response exception handling
  • Websocket handling with reconnection and multiplexed connections
  • Symbol Depth Cache
  • Historical Kline/Candle fetching function
  • Withdraw functionality
  • Deposit addresses

Quick Start

Register an account with Binance.

Generate an API Key and assign relevant permissions.

pip install python-binance
from binance.client import Client
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(

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

# withdraw 100 ETH
# check docs for assumptions around withdrawals
from binance.exceptions import BinanceAPIException, BinanceWithdrawException
    result = client.withdraw(
except BinanceAPIException as e:
except BinanceWithdrawException as e:

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

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

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

# start aggregated trade websocket for BNBBTC
def process_message(msg):
    print("message type: {}".format(msg['e']))
    # do something

from binance.websockets import BinanceSocketManager
bm = BinanceSocketManager(client)
bm.start_aggtrade_socket('BNBBTC', process_message)

# 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")

For more check out the documentation.


If this library helped you out feel free to donate.

  • ETH: 0xD7a7fDdCfA687073d7cC93E9E51829a727f9fE70
  • LTC: LPC5vw9ajR1YndE1hYVeo3kJ9LdHjcRCUZ
  • NEO: AVJB4ZgN7VgSUtArCt94y7ZYT6d5NDfpBo
  • BTC: 1Dknp6L6oRZrHDECRedihPzx2sSfmvEBys

Other Exchanges

If you use Quoinex or Qryptos check out my python-quoine library.

If you use Kucoin check out my python-kucoin library.

If you use IDEX check out my python-idex library.

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