def handle(self, *args, **options):
c = Client(settings.BINANCE_API_KEY, settings.BINANCE_SECRET)
assets = c.get_all_tickers()
for asset in assets:
Coin.objects.get_or_create(symbol=asset['symbol'])
ei = c.get_exchange_info()
# Get coin order filters.
for coin_filter in ei['symbols']:
symbol = coin_filter['symbol']
lot_filter = next((item for item in coin_filter['filters']
if item["filterType"] == "LOT_SIZE"), None)
coin = Coin.objects.get(symbol=symbol)
coin.max_qty = lot_filter['maxQty']
coin.min_qty = lot_filter['minQty']
coin.step_size = lot_filter['stepSize']
step_split = lot_filter['stepSize'].split(".")
if step_split[0] == '1':
coin.step = 0
else:
coin.step = len(step_split[1].split("1")[0]) + 1
coin.save()
class App:
def __init__(self, market, coin):
self.market = market
self.coin = coin
self.dataset = []
def authorize_client(self):
self.client = Client(user.API_KEY, user.API_SECRET)
def append_data(self, price):
data = self.dataset
data.append(price) if len(data) < 5 else data.pop(0)
def get_price(self):
return [
Decimal(x['price']) for x in self._fetch_api_data()
if x['symbol'] == self.market
]
def start(self):
self.authorize_client()
price = self.get_price()
self.append_data(price)
def _fetch_api_data(self):
self.prices = self.client.get_all_tickers()
return self.prices
def run_update(event, context):
# Getting S3 Bucket File Location
bucket_name = environ.get("BUCKET")
s3 = boto3.resource("s3")
bucket = s3.Bucket(bucket_name)
# API_KEY , API_SECRET
API_KEY = environ.get("API_KEY")
API_SECRET = environ.get("API_SECRET")
# Creating Dummy Data
binance_client = Client(api_key=API_KEY, api_secret=API_SECRET)
all_tradable = binance_client.get_all_tickers()
df = pd.DataFrame(all_tradable)
file_name = environ.get('COIN_FILE_NAMES')
df.to_csv("/tmp/" + file_name, index=False, compression="gzip")
# Upload File to s3
path_to_file = f"/tmp/{file_name}"
bucket.upload_file(path_to_file, file_name)
response = {"statusCode": 200, "body": "Successfully update valid tickers"}
return response
class AutoPilot:
def __init__(self, key, secret):
self.client = Client(api_key=key, api_secret=secret)
def get_all_tickers(self) -> list:
try:
return self.client.get_all_tickers()
except Exception as e:
print(e)
return None
def get_symbol_tikcer(self, symbol: str) -> dict:
try:
if (symbol):
return self.client.get_symbol_ticker(symbol=symbol)
else:
raise ValueError('designate symbol')
except Exception as e:
print(e)
return None
def get_symbol_info(self, symbol: str) -> dict:
try:
if (symbol):
return self.client.get_symbol_info(symbol=symbol)
else:
raise ValueError('designate symbol')
except Exception as e:
print(e)
return None
class ScrapeBinance():
API, API_SECRET = '', ''
def __init__(self):
self.link = 'https://www.binance.com/en/trade/RVN_BTC'
with open('../metadata/binance_keys.txt') as f:
keys = f.read()
keys = keys.split(',')
ScrapeBinance.API, ScrapeBinance.API_SECRET = keys[0], keys[1]
self.client = Client(ScrapeBinance.API, ScrapeBinance.API_SECRET)
self.fill_json()
def fill_json(self):
ticker_list = [
symbol['symbol'] for symbol in self.client.get_all_tickers()
]
ticker_list = set(
[ticker[:-3] for ticker in ticker_list if ticker[-4:] != 'USDT'])
with open('meta/coin.json', 'r') as f:
coin_info = json.load(f)
coin_list = list(coin_info.keys())
for new in list(ticker_list.difference(set(coin_info))):
coin_info[new] = ''
print(coin_info)
with open('meta/coin.json', 'w') as f:
json.dump(coin_info, f)
def main():
api_key = config.get(USER_CFG_SECTION, 'api_key')
api_secret_key = config.get(USER_CFG_SECTION, 'api_secret_key')
client = Client(api_key, api_secret_key)
available_tickers = {}
for ticker in client.get_all_tickers():
available_tickers[ticker['symbol']] = None
global g_state
if not (os.path.isfile(g_state._table_backup_file)):
initialize_trade_thresholds(client)
if config.get(USER_CFG_SECTION, 'current_coin') == '':
logger.info("Purchasing {0} to begin trading".format(
g_state.current_coin))
buy_alt(client, g_state.current_coin, BRIDGE)
logger.info("Ready to start trading")
while True:
try:
time.sleep(5)
scout(client, available_tickers)
except Exception as e:
logger.info('Error while scouting...\n{}\n'.format(e))
def get_market_data(end_time, delay=1):
client = Client(api_key, api_secret)
fullbook = pd.DataFrame()
ticker_list = [x['symbol'] for x in client.get_all_tickers()]
while (_dt_dt_.now() < end_time):
for symbol in ticker_list:
try:
depth = pd.DataFrame(client.get_order_book(symbol=symbol))
book_update = pd.DataFrame({
_dt_dt_.now().strftime("%Y%m%d %H:%M:%S.%f"): {
'symbol': symbol,
'q_bid': float(depth.loc[0, 'bids'][1]),
'p_bid': float(depth.loc[0, 'bids'][0]),
'q_ask': float(depth.loc[0, 'asks'][1]),
'p_ask': float(depth.loc[0, 'asks'][0]),
'q_bid_2': float(depth.loc[1, 'bids'][1]),
'p_bid_2': float(depth.loc[1, 'bids'][0]),
'q_ask_2': float(depth.loc[1, 'asks'][1]),
'p_ask_2': float(depth.loc[1, 'asks'][0])
}
})
fullbook = fullbook.append(book_update.T)
except:
pass
time.sleep(delay)
save_fullbook_data(
fullbook, '/home/yizhang/Research/data/%s' %
(_dt_dt_.now().strftime("%Y/%m/%d/")))
def get_balances(self):
'''Gets the current balance info using python-binance module. Note that shows in total current USDT value'''
# Initiate the class
account = Client(api_key=api_key, api_secret=secret_key)
# GET account information
account_dictionary = account.get_account()
total_balance = 0
pair_info_all = account.get_all_tickers()
# Remove non-USDT pair info
pair_info = [x for x in pair_info_all if "USDT" in x["symbol"][-4:]]
for i in range(len(account_dictionary["balances"])):
pair_name = account_dictionary['balances'][i]['asset']
pair_name_usdt = f"{pair_name}USDT"
if pair_name == "USDT":
total_balance += float(account_dictionary['balances'][i]['free'])
for j in range(len(pair_info)):
if pair_name_usdt == pair_info[j]['symbol']:
total_balance += (float(account_dictionary["balances"][i]["free"]) + float(
account_dictionary["balances"][i]["locked"])) \
* float(pair_info[j]['price'])
return total_balance
def search_for_coin():
try:
#initiate client
client = Client(api_key, api_secret)
#get balance
#balance = client.get_asset_balance(asset='BTC')
# get all symbol prices
prices = client.get_all_tickers()
# find coin
for coin in prices:
if coin['symbol'] == pairing:
print('[!] Pairing Found [!]')
price = coin['price']
print('[!] Pairing Price: ' + price + 'BTC [!]')
created_order = buy_order(client, price)
if created_order is True:
return True
else:
print('[!] ERROR! Retrying... [!]')
return False
except (KeyboardInterrupt, SystemExit):
# debug
raise
def populate_data(path,
base_currency="ETH",
interval=Client.KLINE_INTERVAL_1HOUR,
start="30 January, 2016",
end="1 April, 2019"):
"""Populate a directory for data within a time range and interval for a base asset.
Args:
path: The directory in which to store the data.
base_currency: The base asset we want the data for.
interval: The candle interval, eg. 1 hour, as a binance enum.
start: The start date.
end: The end date.
"""
symbols = []
client = Client("", "")
tickers = client.get_all_tickers()
for ticker in tickers:
symbol = ticker['symbol']
if symbol.endswith(base_currency):
symbols.append(symbol)
for symbol in symbols:
klines = get_historical_klines(symbol, interval, start, end)
with open("{}/{}_1h.json".format(path, symbol), 'w') as f:
f.write(json.dumps(klines))
class Binance():
def __init__(self):
self.client = Client("hziRqaoLzBRMlfwULTS66dm527DMVWjF3rQlPJlH5h9kdJwPg4T9MOgeLXYtjhX1", "syLnOpemHBzlyTo2xZEs9vaILt3RNikpdbTHijLFvqaow7HoddxfR3lXgpvRSgVw")
self.infos = self.client.get_all_tickers()
def get_price(self):
final_result = []
for info in self.infos:
for symbol in network_symbols:
if info["symbol"] == "{}USDT".format(symbol):
final_result.append(info)
return final_result
def pure_price(self):
prices = []
for price in self.get_price():
price["symbol"] = price["symbol"][:-4]
prices.append(price)
return prices
def calculate_interest(current_price , last_price):
return (current_price - last_price) / last_price * 100
def get_kline(self, network):
return binance.client.get_klines(symbol="%sUSDT"%network, interval="1m")
class BinanceListingObtainer(ListingObtainer):
_client: Client
def __init__(self, propertiesFile="binance_properties.json"):
super().__init__()
api_key, api_secret = self._getKeysFromFile(propertiesFile)
self._client = Client(api_key=api_key, api_secret=api_secret)
def obtain(self) -> pd.DataFrame:
dictionary = {"Ticker": []}
tickers = self._client.get_all_tickers()
for ticker in tickers:
dictionary["Ticker"].append(ticker["symbol"])
self.listings = pd.DataFrame(dictionary, columns=["Ticker"])
return self.listings
def _getKeysFromFile(self, propertiesFile: str):
try:
with open(propertiesFile, mode='r') as file:
data = json.load(file)
apiKey = data["API Key"]
apiKeySecret = data["API Key Secret"]
return apiKey, apiKeySecret
except:
print(
"You are missing " + propertiesFile + ". Please ask Robert" \
"(robert.ciborowski"
"@mail.utoronto.ca) for "
"help.")
class BinanceHelper(object):
def __init__(self, api_key, api_secret, base_currency, coin_currency):
self.client = Client(api_key, api_secret)
self.base_currency = base_currency
self.coin_currency = coin_currency
self.symbol = coin_currency + base_currency
def float_precision(self, f, n):
n = int(math.log10(1 / float(n)))
f = math.floor(float(f) * 10**n) / 10**n
f = "{:0.0{}f}".format(float(f), n)
return str(int(f)) if int(n) == 0 else f
def get_price(self):
price = None
tickers = self.client.get_all_tickers()
for ticker in tickers:
if ticker['symbol'] == self.symbol:
price = float(ticker['price'])
return price
def get_tick_and_step_size(self):
tick_size = None
step_size = None
symbol_info = self.client.get_symbol_info(self.symbol)
for filt in symbol_info['filters']:
if filt['filterType'] == 'PRICE_FILTER':
tick_size = float(filt['tickSize'])
elif filt['filterType'] == 'LOT_SIZE':
step_size = float(filt['stepSize'])
return tick_size, step_size
def get_balance(self, currency):
return float(self.client.get_asset_balance(asset=currency)['free'])
def get_buy_info(self):
tick_size, step_size = self.get_tick_and_step_size()
price = float(self.float_precision(self.get_price(), tick_size))
coin_currency_quantity = float(
self.float_precision(
self.get_balance(self.base_currency) / price, step_size))
return price, coin_currency_quantity
def get_sell_info(self):
tick_size, step_size = self.get_tick_and_step_size()
price = float(self.float_precision(self.get_price(), tick_size))
coin_currency_quantity = float(
self.float_precision(self.get_balance(self.coin_currency),
step_size))
return price, coin_currency_quantity
def buy(self):
price, quantity = self.get_buy_info()
self.client.order_market_buy(symbol=self.symbol, quantity=quantity)
def sell(self):
price, quantity = self.get_sell_info()
self.client.order_market_sell(symbol=self.symbol, quantity=quantity)
def main(argv):
period = 10
########### API KEYS ###########
#Binance
b_api_key = 'newb'
b_api_secret = 'noob'
#HitBTC
h_api_key = 'nub'
h_api_secret = '...'
#### Client Declarations ####
b_client = Client(b_api_key, b_api_secret)
h_client = H_Client("https://api.hitbtc.com", h_api_key, h_api_secret)
#############
#Get Market Depth
depth = b_client.get_order_book(symbol='BNBBTC')
#Get Recent Trades
trades_recent = b_client.get_recent_trades(symbol='BNBBTC')
#Get Historical Trades
trades_hist = b_client.get_historical_trades(symbol='BNBBTC')
#Get Aggregate trades
trades_agg = b_client.get_aggregate_trades(symbol='BNBBTC')
#Get Kline/Candlesticks
candles = b_client.get_klines(symbol='BNBBTC',
interval=KLINE_INTERVAL_30MINUTE)
#Get 24hr Ticker
tickers_24 = b_client.get_ticker()
#Get All Prices: Get last price for all markets
prices = b_client.get_all_tickers()
#Get Orderbook Tickers: Get first bid and ask entry in the order book for all markets
tickers_order = b_client.get_orderbook_tickers()
############
# print(h_client.get_orderbook("ETHBTC"))
ethbtc_orderbook = h_client.get_orderbook("ETHBTC")
#Check to see which coins can be traded and withdrawn
h_cryptolist = []
h_currencies = h_client.currencies()
for currency in h_currencies:
if currency['id'] == 'BTC':
print(currency)
minimum_ask = 0
minimum_bid = 0
for order, price in ethbtc_orderbook.items():
print(order, ":", price)
print(len(price))
# for i in price.length():
if order == 'ask':
pass
# print("minimum ask price is: ")
if order == 'bid':
pass
def coin_prices(self, watch_list):
#Will print to screen, prices of coins on 'watch list'
#returns all prices
prices = Client.get_all_tickers(self)
print("\nSelected (watch list) Ticker Prices: ")
for price in prices:
if price['symbol'] in watch_list:
print(price)
return prices
def compute_pnl():
json_payload = request.get_json()
binance_api_key = json_payload['API_KEY']
binance_api_secret = json_payload['API_SECRET']
order_history = json_payload['order_history']
binance_client = Client(api_key=binance_api_key,
api_secret=binance_api_secret)
all_tradable = binance_client.get_all_tickers()
global prices
prices = {p['symbol']: p['price'] for p in all_tradable}
# Step 1: Get quantities of the coins
valid_orders = [o for o in order_history if float(o['executedQty']) > 0]
coin_obj_dict = {}
pnl = {}
for order in valid_orders:
coin = order['symbol']
if order['type'] == 'REVERSE':
order['price'] = get_reverse_trade_price(order, binance_client)
if coin not in coin_obj_dict:
coin_obj_dict[coin] = CoinProfitLoss(coin)
cpl_object = coin_obj_dict[coin]
if order['side'] == 'BUY':
cpl_object.buy(float(order['executedQty']), float(order['price']))
else:
cpl_object.sell(float(order['executedQty']), float(order['price']))
category = []
ureal_pnl = []
real_pnl = []
for coin in coin_obj_dict:
if coin_obj_dict[coin].cost_basis < 10:
continue
unrealised_pnl = coin_obj_dict[coin].get_unrealised_pnl(
float(prices[coin]))
realised_pnl = coin_obj_dict[coin].get_realised_pnl()
category.append({"label": coin})
ureal_pnl.append({"value": str(unrealised_pnl)})
real_pnl.append({"value": str(realised_pnl)})
total_pnl = sum(ureal_pnl) + sum(real_pnl)
total_pnl_arr = [ureal_pnl[i] + real_pnl[i] for i in range(len(ureal_pnl))]
most_profitable = category[total_pnl_arr.index(max(total_pnl_arr))]
least_profitable = category[total_pnl_arr.index(min(total_pnl_arr))]
return jsonify({
"code": 200,
"data": {
"categories": category,
"ureal_pnl": ureal_pnl,
"real_pnl": real_pnl,
"total_pnl": total_pnl,
"most_profitable": most_profitable,
"least_profitable": least_profitable
}
}), 200
def main():
api_key = os.environ['BINANCE_API']
api_secret = os.environ['BINANCE_SECRET']
client = Client(api_key, api_secret)
all_tickers = client.get_all_tickers()
dst_dir = Path('Binance')
interval = '5m'
# fill in all get_all_kline args except for symbol so we can use in multithreading
thread_func = partial(get_all_klines,
client=client,
interval=interval,
dst_dir=dst_dir)
total_erw = 0 # count of total estimated request weight
symbol_batch = [
] # list to be filled with symbols for single multithread run through
for i, ticker in enumerate(all_tickers):
symbol = ticker['symbol']
erw = estimate_request_weight(symbol, interval, dst_dir, client)
total_erw += 2 # add 2 for estimate_request_weight function calls just to be safe
if total_erw + erw > 1100: # api request limit is 12000 per minute
print(i, symbol_batch)
start_time = datetime.now()
with concurrent.futures.ThreadPoolExecutor() as executor:
futures = list(executor.map(thread_func, symbol_batch))
for filepath, data_df in futures:
# save data outside of multithreading. suspected errors trying to save w/in multithreading. also easier to line up in console output.
data_df.to_csv(filepath)
print(f'saved to {filepath}')
end_time = datetime.now()
duration = start_time - end_time
if duration < timedelta(
minutes=1): # pause if outpacing api request limit
sleep_time = timedelta(minutes=1) - duration
time.sleep(sleep_time.seconds)
# restart symbol batch and total_erw w/ data from current ticker
symbol_batch = [symbol]
total_erw = erw
elif erw != 0:
# skip symbols with 0 erw
# 0 erw means less than days worth of data to download (see estimate_request_weight function)
# add symbol to symbol_batch, update total_erw counter
symbol_batch.append(symbol)
total_erw += erw
if i % 100 == 0:
print(i)
# one last symbol_batch left
with concurrent.futures.ThreadPoolExecutor() as executor:
futures = list(executor.map(thread_func, symbol_batch))
for filepath, data_df in futures:
data_df.to_csv(filepath)
print(f'saved to {filepath}')
def get_all_tickers(api_key=binance_api_key, api_secret=binance_api_secret):
client = Client(api_key=api_key, api_secret=api_secret)
all_tickers_data = client.get_all_tickers()
tickers = []
for ticker_data in all_tickers_data:
tickers.append(ticker_data['symbol'])
return np.array(tickers)
def get_binance_info():
client = Client(api_key_binance, api_secret_binance)
prices = client.get_all_tickers()
for item in prices:
if "BTCUSDT" in item["symbol"]:
btc_price = item["price"]
if "ETHUSDT" in item["symbol"]:
eth_price = item["price"]
return float(btc_price), float(eth_price)
def get_all_tickers_view(request):
'''Parameters:
symbol (str) – Name of symbol pair e.g BNBBTC
'''
if request.method == "POST":
cli = Client()
data = request.data
try:
agg = cli.get_all_tickers(**data)
return JsonResponse(agg, safe=False)
except BinanceAPIException as e:
return JsonResponse({"MessageError": e.message}, safe=False)
class Binance:
def __init__(self, api_key: str, api_secret: str):
self.client = Client(api_key, api_secret)
def get_tick(self, symbol: str) -> Tick:
return Tick(**self.client.get_ticker(symbol=symbol))
def get_all_tickers(self):
tickers = []
for tick in self.client.get_all_tickers():
tickers.append(self.get_tick(tick['symbol']))
return tickers
class exchange:
"""
建構式
Args:
apiKey (str): API金鑰
apiSecret (str): API密鑰
Returns:
void
"""
def __init__(self, apiKey: str, apiSecret: str):
self.client = Client(apiKey, apiSecret)
"""
取得當前價格
Args:
symbol (str): 要取得價格的標的，例BTCUSDT
Returns:
float: 當前的價格
"""
def getSymbolPrice(self, symbol: str) -> float:
prices = self.client.get_all_tickers()
num = len(prices)
price = 0
for i in range(num):
if symbol == prices[i]['symbol']:
price = prices[i]['price']
return price
"""
進行交易
Args:
symbol (str): 要取得價格的標的，例BTCUSDT
side (str): 要買進用buy，要賣出用sell
quantity (float): 要買進的數量
Returns:
str: API response
"""
def doExchange(self, symbol: str, side: str, quantity: float):
sides = {'buy': Client.SIDE_BUY, 'sell': Client.SIDE_SELL}
order = self.client.create_test_order(symbol=symbol,
side=sides[side],
type=Client.ORDER_TYPE_MARKET,
quantity=quantity)
return order
def get_binance_balance(self, api_key, api_secret):
"""
:returns: binace balance
.. code-block:: python
{
'TRX': {
'price_BTC': 0.000001,
'value_BTC': 0.00001,
'free': 10
},
'NEO': {
'price_BTC': 0.000001,
'value_BTC': 0.00001,
'free': 10
},
'OMG': {
'price_BTC': 0.000001,
'value_BTC': 0.00001,
'free': 10
},
'BTC': {
'free': 0.002
}
}
"""
client = Client(api_key, api_secret)
# Get account information
account = client.get_account()
# Filter zero balances
my_balance = {}
for balance in account['balances']:
if float(balance['free']) > 0:
my_balance[balance['asset']] = {'free': float(balance['free'])}
# Get current prices
prices = client.get_all_tickers()
# Filter only BTC prices by account assets and calculate total value
for price in prices:
symbol = price['symbol']
if symbol[-3:] == 'BTC' and symbol[:-3] in my_balance.keys():
my_asset = my_balance[symbol[:-3]]
my_asset['price_BTC'] = float(price['price'])
my_asset['value_BTC'] = (float(price['price']) *
my_asset['free'])
return my_balance
def binance(list):
binance_api = Keys['binance_key']
binance_secret = Keys['binance_secret']
client = Client(binance_api, binance_secret)
prices = client.get_all_tickers()
for price in prices:
if price['symbol'] in list:
y = price['price']
x = float(y)
z = 1 / x
a = btc()
b = a * z
return b
def binance_get_all_tickers(chat_id):
full_api = getbinanceapi(chat_id)['binance_api']
api_key = full_api.split(':')[0].strip()
api_secret = full_api.split(':')[1].strip()
client = Client(api_key, api_secret)
binance_timesync(client)
js_info = []
try:
js_info = client.get_all_tickers()
#print(js_info)
return js_info
except Exception as e:
print(e)
return js_info
class Scraper:
def __init__(self):
self.api_key = '7tDBYdWpcmbHLSmJJKVd2aCVbzyGwdQ3hDgSfw5MrrXSpjAoufMW5Tkk02W1JiPv'
self.api_secret = '98BCmuZh6yFLJUYtJ7WtZtCqiMeNTuauxKfzrRQQ82RNnG01HJdxmuXzxZ5SSnyU'
self.client = Client(self.api_key, self.api_secret)
def run(self):
while True:
try:
tickers = self.client.get_all_tickers()
server_time = self.client.get_server_time()['serverTime']
for t in tickers:
if t['symbol'] in ["ETHUSDT", "BTCUSDT"]:
models.store_data(int(server_time), float(t['price']),
t['symbol'])
time.sleep(1)
except Exception as e:
print(e)
def tickers(self):
return self.client.get_all_tickers()
def update(self):
from binance.client import Client
_LOGGER.debug('Fetching data from binance.com')
try:
client = Client(self._api_key, self._api_secret)
prices = client.get_all_tickers()
for i in prices:
self.data[i['symbol']] = i['price']
_LOGGER.debug("Rates updated to %s", self.data)
except:
_LOGGER.error('Error fetching data from binance.com')
self.data = {}
return False
def main():
client = Client(config.api_key, config.api_secret)
# Get account information
account = client.get_account()
# Filter zero balances
my_balance = {}
for balance in account['balances']:
if float(balance['free']) > 0:
my_balance[balance['asset']] = {'free': float(balance['free'])}
# Get current prices
prices = client.get_all_tickers()
# Add wallet data from config file
'''
wallet = {
'symbol_1': amount,
'symbol_2': amount
}
'''
for k, v in config.wallet.items():
if k in list(my_balance.keys()):
my_balance[k]['free'] = my_balance[k]['free'] + v
else:
my_balance[k] = {}
my_balance[k]['free'] = v
# Filter only BTC prices by account assets and calculate total value
for price in prices:
symbol = price['symbol']
if symbol[-3:] == 'BTC' and symbol[:-3] in list(my_balance.keys()):
my_asset = my_balance[symbol[:-3]]
my_asset['price'] = price['price']
my_asset['value_BTC'] = (float(price['price']) * my_asset['free'])
# Extract labels and values for chart
labels = []
values = []
for key, value in my_balance.items():
labels.append(key)
if key == 'BTC':
values.append(float(value['free']))
else:
values.append(value['value_BTC'])
plot_pie(values, labels)
def fillSymbols():
BUY_SYMBOLS.clear()
client1 = Client(config.api_key1, config.api_secret1)
data = client1.get_all_tickers()
time.sleep(0.1)
for x in data:
if x['symbol'][-4:].find("USDT") != -1:
if x['symbol'][:-4].find("USD") == -1:
for a in BLACKLIST:
allOf = True
if x['symbol'].find(a) != -1:
allOf = False
break
if allOf:
BUY_SYMBOLS.append(x['symbol'])
def buy():
global foundCoin
client = Client(
'YOUR API KEY HERE',
'YOUR SECRET KEY HERE') # Sisesta siia oma API key ja Secret API Key
balanceDict = client.get_asset_balance(asset='BTC')
balance = balanceDict.get('free') # Leiab vabade vahendite summa
allPrices = client.get_all_tickers()
coinInfo = next(item for item in allPrices
if item["symbol"] == "%sBTC" % (foundCoin))
foundPrice = coinInfo.get('price')
print('[' + str(dt.now().time()) + ']' + 'Your BTC balance is:' + ' ' +
str(balance))
print('[' + str(dt.now().time()) + ']' + 'price is' + ' ' + foundPrice)
possibleBuy = float(balance) / float(
foundPrice
) * 0.8 # Kordaja määrab, kui palju olemasolevast rahast kasutatakse tehingus
possibleBuy = float(round(possibleBuy, 8))
def order():
order = client.create_order(symbol='%sBTC' % (foundCoin),
side=Client.SIDE_BUY,
type=Client.ORDER_TYPE_MARKET,
quantity=possibleBuy)
print('[' + str(dt.now().time()) + ']' + 'Placed order for %f %s' %
(possibleBuy, foundCoin))
x = 8
while True:
try:
order()
break
except:
possibleBuy = float(round(possibleBuy, x - 1))
x = x - 1
print(
'[' + str(dt.now().time()) + ']' + 'Trying' + ' ' +
str(possibleBuy)
) # Erinevad coinid lubavad erinevat täpsust, nii et siin proovib
# järjest ebatäpsemat ümardamist.
search()