Python Binance
last modified January 29, 2024
In this article we show how to work with Binance exchange in Python using
the python-binance library.
The python-binance an unofficial Python wrapper for the Binance
exchange REST API v3. Binance is a popular cryptocurrency exchange.
Binance offers both public and private APIs. For private APIs, we need to provide the API keys. The APIs are asynchronous.
$ pip install python-binance
We install the library with pip.
Python Binance list of symbols
The get_exchange_info function provides some basic information
about the exchange, including rate limits and list of symbols.
A symbol is a trading pair. It consists of a base asset and a quote asset. Given a symbol BTCBUSD, BTC stands for the base asset and BUSD stands for the quote asset.
#!/usr/bin/python
import asyncio
from binance import AsyncClient
async def main():
client = await AsyncClient.create()
res = await client.get_exchange_info()
print(f'# of symbols: {len(res["symbols"])}')
for sym in res['symbols']:
print(f"{sym['symbol']}: base {sym['baseAsset']}, quote {sym['quoteAsset']}")
await client.close_connection()
asyncio.run(main())
The example prints the number of symbols lists all available symbols.
from binance import AsyncClient
From the module, we import the AsyncClient.
res = await client.get_exchange_info()
We call the get_exchange_info function. The response in translated
into a Python dictionary.
print(f'# of symbols: {len(res["symbols"])}')
The symbols key contains the list of available symbols on Binance.
for sym in res['symbols']:
print(f"{sym['symbol']}: base {sym['baseAsset']}, quote {sym['quoteAsset']}")
We go through the list and print them to the console.
$ ./symbols.py # of symbols: 2183 ETHBTC: base ETH, quote BTC LTCBTC: base LTC, quote BTC BNBBTC: base BNB, quote BTC NEOBTC: base NEO, quote BTC QTUMETH: base QTUM, quote ETH EOSETH: base EOS, quote ETH SNTETH: base SNT, quote ETH BNTETH: base BNT, quote ETH BCCBTC: base BCC, quote BTC GASBTC: base GAS, quote BTC BNBETH: base BNB, quote ETH BTCUSDT: base BTC, quote USDT ETHUSDT: base ETH, quote USDT ...
Python Binance ticker
A ticker is a report of the price of a certain cryptocurrency, updated
continuously throughout the trading session. To get a ticker, we use the
get_ticker function.
#!/usr/bin/python
import asyncio
import json
from binance import AsyncClient
async def main():
client = await AsyncClient.create()
res = await client.get_ticker(symbol='LTCBUSD')
print(json.dumps(res, indent=2))
print('--------------------')
res = await client.get_symbol_ticker(symbol='LTCBUSD')
print(json.dumps(res, indent=2))
await client.close_connection()
asyncio.run(main())
The example retrieves the ticker for the LTCBUSD symbol.
res = await client.get_ticker(symbol='LTCBUSD')
We fetch the ticker for LTCBUSD.
print(json.dumps(res, indent=2))
We pretty-print the output with json.dumps.
$ ./get_ticker.py
{
"symbol": "LTCBUSD",
"priceChange": "-1.06000000",
"priceChangePercent": "-1.146",
"weightedAvgPrice": "92.12663737",
"prevClosePrice": "92.47000000",
"lastPrice": "91.45000000",
"lastQty": "0.05500000",
"bidPrice": "91.45000000",
"bidQty": "0.27400000",
"askPrice": "91.47000000",
"askQty": "4.38700000",
"openPrice": "92.51000000",
"highPrice": "93.58000000",
"lowPrice": "90.46000000",
"volume": "153099.54200000",
"quoteVolume": "14104545.98719000",
"openTime": 1680448413900,
"closeTime": 1680534813900,
"firstId": 38620441,
"lastId": 38681137,
"count": 60697
}
--------------------
{
"symbol": "LTCBUSD",
"price": "91.47000000"
}
Python Binance deposit address
A deposit address is a unique address used to send and receive cryptocurrency on Binance. The address does not belong to the user.
#!/usr/bin/python
import asyncio
import os
from binance import AsyncClient
async def main():
api_key = os.getenv('BINANCE_API_KEY')
api_secret = os.getenv('BINANCE_SECRET_KEY')
client = await AsyncClient.create(api_key, api_secret)
btc_address = await client.get_deposit_address(coin='BTC')
print(btc_address)
ltc_address = await client.get_deposit_address(coin='LTC')
print(ltc_address)
doge_address = await client.get_deposit_address(coin='DOGE')
print(doge_address)
await client.close_connection()
asyncio.run(main())
In the example, we print three deposits addresses for the BTC, LTC, and DOGE coins.
api_key = os.getenv('BINANCE_API_KEY')
api_secret = os.getenv('BINANCE_SECRET_KEY')
To get a deposit address, we need to use the API keys. We load our keys from the environment variables.
btc_address = await client.get_deposit_address(coin='BTC') print(btc_address)
We get the address with get_deposit_address for the BTC and
print it.
Python Binance asset balance
The get_asset_balance function retrieves the balance for the given
asset.
#!/usr/bin/python
import asyncio
import os
from binance import AsyncClient
async def main():
api_key = os.getenv('BINANCE_API_KEY')
api_secret = os.getenv('BINANCE_SECRET_KEY')
client = await AsyncClient.create(api_key, api_secret)
ltc_balance = await client.get_asset_balance(asset='LTC')
print(f"Asset: {ltc_balance['asset']}")
print(f"Free: {ltc_balance['free']}")
print(f"Locked: {ltc_balance['locked']}")
await client.close_connection()
asyncio.run(main())
The example retrieves the ballance for the LTC coin.
Python Binance withdrawals
With the get_withdraw_history function, we get the cryptocurrency
withdrawals from the Binance exchange.
#!/usr/bin/python
import asyncio
import os
from binance import AsyncClient
async def main():
api_key = os.getenv('BINANCE_API_KEY')
api_secret = os.getenv('BINANCE_SECRET_KEY')
client = await AsyncClient.create(api_key, api_secret)
withdraws = await client.get_withdraw_history()
for e in withdraws:
print(f"{e['amount']} {e['transactionFee']} {e['coin']} {e['completeTime']}")
await client.close_connection()
asyncio.run(main())
In the example, we fetch all the withdrawals for the last ninety days.
withdraws = await client.get_withdraw_history()
We fetch the withdrawals. If we do not specify the start time, the default last 90 days is applied.
for e in withdraws:
print(f"{e['amount']} {e['transactionFee']} {e['coin']} {e['completeTime']}")
From the withdrawal data, we get the amount, transaction fee, coin name and completion time.
Python Binance my trades
The get_my_trades function retrieves trades for the specific
symbol.
$ pip install rich
To organize the data in a nice table, we use the rich library.
#!/usr/bin/python
import asyncio
import os
from datetime import datetime
from binance import AsyncClient
from rich import box
from rich.console import Console
from rich.table import Table
async def main():
api_key = os.getenv('BINANCE_API_KEY')
api_secret = os.getenv('BINANCE_SECRET_KEY')
client = await AsyncClient.create(api_key, api_secret)
trades = await client.get_my_trades(symbol='SHIBBUSD')
now = f'{datetime.today()}'
table = Table(title='My SHIBA trades', box=box.ASCII,
caption=now, caption_justify='left')
table.add_column('Complete time', justify='center', style='steel_blue')
table.add_column('Price', justify='right', style='cadet_blue')
table.add_column('Quantity', justify='right')
table.add_column('Quote quantity', justify='right')
table.add_column('Commision fee', justify='right', style='indian_red')
table.add_column('Commision asset', justify='center')
for e in trades:
trade_time = datetime.utcfromtimestamp(e['time']/1000.0)
price = float(e["price"])
quantity = float(e["qty"])
quote_quantity = float(e["quoteQty"])
commision = float(e["commission"])
commission_asset = e["commissionAsset"]
table.add_row(f'{trade_time:%m/%d/%Y}', f'{price:.8f}', f'{quantity}',
f'{quote_quantity:.8f}', f'{commision:.2f}', f'{commission_asset}')
console = Console()
console.print(table)
await client.close_connection()
asyncio.run(main())
The example retrieves trades for the SHIBBUSD symbol. The quantity
is the amount of the base asset that we have bought; in our case it is the
amount of the SHIBA token. The quote quantity is the amount of the quote asset
(BUSD) needed to buy the given mount of the SHIBA token.
trades = await client.get_my_trades(symbol='SHIBBUSD')
We retrieve the trades for the SHIBBUSD symbol with
get_my_trades.
table = Table(title='My SHIBA trades', box=box.ASCII,
caption=now, caption_justify='left')
table.add_column('Complete time', justify='center', style='steel_blue')
table.add_column('Price', justify='right', style='cadet_blue')
table.add_column('Quantity', justify='right')
table.add_column('Quote quantity', justify='right')
table.add_column('Commision fee', justify='right', style='indian_red')
table.add_column('Commision asset', justify='center')
We create a table with six columns.
for e in trades:
trade_time = datetime.utcfromtimestamp(e['time']/1000.0)
price = float(e["price"])
quantity = float(e["qty"])
quote_quantity = float(e["quoteQty"])
commision = float(e["commission"])
commission_asset = e["commissionAsset"]
table.add_row(f'{trade_time:%m/%d/%Y}', f'{price:.8f}', f'{quantity}',
f'{quote_quantity:.8f}', f'{commision:.2f}', f'{commission_asset}')
We add rows to the table.
console = Console() console.print(table)
Finally, we print the table to the console.
Pyton Binance fiat payments
To get fiat payments, we use the get_fiat_payments_history
function.
#!/usr/bin/python
import asyncio
import os
from binance import AsyncClient
from binance.helpers import date_to_milliseconds
from datetime import datetime
from rich import box
from rich.console import Console
from rich.table import Table
async def main():
api_key = os.getenv('BINANCE_API_KEY')
api_secret = os.getenv('BINANCE_SECRET_KEY')
begin = '2023/01/01'
begin_ts = date_to_milliseconds(begin)
end = 'March 31, 2023'
end_ts = date_to_milliseconds(end)
client = await AsyncClient.create(api_key, api_secret)
fiat_history = await client.get_fiat_payments_history(transactionType=0,
beginTime=begin_ts, endTime=end_ts)
now = f'{datetime.today()}'
table = Table(title='Fiat payments', box=box.ASCII,
caption=now, caption_justify='left')
table.add_column('Create time', justify='right', style='cadet_blue')
table.add_column('Fiat amount', justify='center', style='steel_blue')
table.add_column('Fiat')
table.add_column('Crypto amount', justify='right', style='dark_slate_gray2')
table.add_column('Crypto')
table.add_column('Price', style='dark_sea_green4')
table.add_column('Fee', style='indian_red')
for e in fiat_history['data']:
d = datetime.utcfromtimestamp(e['createTime']/1000.0)
source_amount = float(e["sourceAmount"])
fiat_currency = e["fiatCurrency"]
obtain_amount = float(e["obtainAmount"])
crypto_currency = e["cryptoCurrency"]
price = float(e["price"])
total_fee = float(e["totalFee"])
table.add_row(f'{d:%m/%d/%Y}', f'{source_amount:.8f}', f'{fiat_currency}',
f'{obtain_amount:.8f}', f'{crypto_currency}',
f'{price:.8f}', f'{total_fee:.8f}')
console = Console()
console.print(table)
await client.close_connection()
asyncio.run(main())
In the program we list all transactions where we bought cryptocurrency with fiat money.
begin = '2023/01/01' begin_ts = date_to_milliseconds(begin) end = 'March 31, 2023' end_ts = date_to_milliseconds(end)
We specify the begin and end dates. We use the date_to_milliseconds
helper functions to transform the string dates into milliseconds.
fiat_history = await client.get_fiat_payments_history(transactionType=0,
beginTime=begin_ts, endTime=end_ts)
The transactionType 0 is for buys, 1 is for sells.
source_amount = float(e["sourceAmount"]) fiat_currency = e["fiatCurrency"] obtain_amount = float(e["obtainAmount"]) crypto_currency = e["cryptoCurrency"] price = float(e["price"]) total_fee = float(e["totalFee"])
We have six columns. The source amount is the amount of the fiat currency we use to buy cryptocurrency. The fiat currency is the type of the fiat currency, such as USD or EUR. The obtain amount is the amount of cryptocurrency that we have bought. The cryptocurrency is the cryptocurrency that we received. The price is the price of the cryptocurrency expressed in the fiat currency. Finally, the total fee is the fee we have paid for the transaction.
Source
In this article we have worked with Binance exchange in Python with
python-binance module.
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