def create_gateway_obj(self, exchange, setting):
"""
创建gateway对象
:param exchange: 交易所
:param setting: 配置信息
:return: 交易所对象
"""
if "BITMEX" == exchange:
# _bitmex 避免和 bitmex 模块重名，所以加下划线区分
_bitmex = ccxt.bitmex(setting)
# 设置为测试服务器
_bitmex.urls["api"] = _bitmex.urls["test"]
_bitmex.urls["www"] = _bitmex.urls["test"]
# 引入bitmex官方的对象
_bitmex.client = bitmex.bitmex(test=True, api_key=setting["apiKey"], api_secret=setting["secret"])
return _bitmex
elif "BITMEX_REAL" == exchange:
# bitmex实盘对象
# _bitmex 避免和 bitmex 模块重名，所以加下划线区分
_bitmex = ccxt.bitmex(setting)
# 引入bitmex官方的对象
_bitmex.client = bitmex.bitmex(test=False, api_key=setting["apiKey"], api_secret=setting["secret"])
return _bitmex
elif "OKEX" == exchange:
obj_okex = ccxt.okex3()
return obj_okex
else:
pass
def __init__(self):
f = open('config.json', 'r', encoding="utf-8")
config = json.load(f)
self.logger = log.get_custom_logger(__name__)
self.product_code = config['productCode']
self.count = config['count']
self.period = config['period']
self.lot = config['lot']
code = 'XBTUSD' if self.product_code == 'BTC/USD' self.product_code
self.candle = Candle(code)
if config['isTest']:
apiKey = config['test']['key']
secret = config['test']['secret']
self.bitmex = ccxt.bitmex({
'apiKey': apiKey,
'secret': secret,
})
self.bitmex.urls['api'] = self.bitmex.urls['test']
else:
apiKey = config['real']['key']
secret = config['real']['secret']
self.bitmex = ccxt.bitmex({
'apiKey': apiKey,
'secret': secret,
})
self.order = Orders(self.bitmex)
def _createExchangeObject(self, exchange):
''' Depricated ... now instantiating class using "eval" in __init__'''
if exchange == "Binance":
exchange = ccxt.binance()
elif exchange == "Bitfinex":
exchange = ccxt.bitfinex2()
elif exchange == "Bitmex":
exchange = ccxt.bitmex()
elif exchange == "BitStamp":
exchange = ccxt.binance()
elif exchange == "Bittrex":
exchange = ccxt.binance()
elif exchange == "Bithumb":
exchange = ccxt.bithumb()
elif exchange == "CCTX":
exchange = ccxt.cctx()
elif exchange == "GDAX":
exchange = ccxt.gdax()
elif exchange == "HitBC":
exchange = ccxt.hitbc()
elif exchange == "Huobipro":
exchange = ccxt.huobipro()
elif exchange == "Kraken":
exchange = ccxt.kraken()
elif exchange == "OKEx":
exchange = ccxt.okex()
else:
raise "Exception ExchangeCCXT::_createExchangeObject - ccxt Exchange not valid"
return exchange
def __init__(self, order_symbol, order_type, apikey, secret, num_buy,
num_sell, order_spread, order_profit, order_amonut_buy,
order_amonut_sell, exchange):
self.order_symbol = order_symbol
self.apiKey = apikey
self.secret = secret
self.order_type = order_type
self.num_buy = num_buy
self.num_sell = num_sell
self.order_spread = order_spread
self.order_profit = order_profit
self.order_amonut_buy = order_amonut_buy
self.order_amonut_sell = order_amonut_sell
if self.order_symbol == 'BTC/USD':
self._symbol = 'XBTUSD'
elif self.order_symbol == 'ETH/USD':
self._symbol = 'ETHUSD'
else:
self._symbol = self.order_symbol
# 初始化交易所
if exchange == 'bitmex':
self.exchange = ccxt.bitmex({
"apiKey": self.apiKey,
"secret": self.secret
})
client = pymongo.MongoClient('localhost', port=27017) # 连接数据库
db = client['bitmex']
self.col = db[self.order_symbol]
def __init__(self, exchange, symbol=u'BTC/USD', logfile='full.log'):
if exchange in self.known_exchanges:
if exchange == 'bfx':
self.exchange = ccxt.bitfinex2({
'rateLimit': 10000,
'enableRateLimit': True
})
if exchange == 'bitmex':
self.exchange = ccxt.bitmex({
'rateLimit': 10000,
'enableRateLimit': True
})
self.symbol = symbol
self.logger = logging.getLogger(__name__ + '.ExchgData')
self.logger.setLevel(logging.DEBUG)
sh = logging.StreamHandler()
dh = logging.FileHandler(logfile)
sh.setLevel(logging.INFO)
dh.setLevel(logging.DEBUG)
fm = logging.Formatter(
'[%(asctime)s][%(levelname)s][%(name)s] %(message)s')
dh.setFormatter(fm)
sh.setFormatter(fm)
self.logger.addHandler(sh)
self.logger.addHandler(dh)
self.logger.info("Logger initialized")
def __init__(self, config: dict, logger=None, client=None):
self._config = config
self._logger = logger
self._symbol = config["symbol"]
self._ichimoku_tenkan_sen_period = config["ichimoku_tenkan_sen_period"]
self._ichimoku_kijun_sen_period = config["ichimoku_kijun_sen_period"]
self._ichimoku_senkou_span_b_period = config[
"ichimoku_senkou_span_b_period"]
self._ichimoku_displacement_period = config[
"ichimoku_displacement_period"]
self._data_period = config["data_period"]
self._leverage = config["leverage"]
self._n_multiplier = config["n_multiplier"]
self._seconds_per_cycle = config["seconds_per_cycle"]
if client:
self._client = client
else:
self._client = bitmex({
"test": config["test"],
"apiKey": config["apiKey"],
"secret": config["secret"]
})
class MexWrapper(object):
keys = []
all_exchanges = []
client = ccxt.bitmex()
xbit = "BTC/USD"
eth = "ETH/USD"
def __init__(self):
return
def get_exchange_markets(self):
return self.client.load_markets()
def fetch_and_save_historical_bar_data(self, look_back, time_int):
lb_date = datetime.now() - timedelta(days=look_back)
hist = mex.client.fetch_ohlcv(self.xbit, timeframe="1d", since=self.client.parse8601(lb_date.strftime('%Y-%m-%dT%H:%M:%S')))
df = pd.DataFrame(hist)
df.columns = ["date", "open", "high", "low", "close", "volume"]
df["ewma"] = pd
df.to_csv("../hist_data/mex/" + self.xbit.split("/")[0] + ".txt")
return df
def read_data_file(self):
df = pd.DataFrame().from_csv("../hist_data/mex/" + self.xbit.split("/")[0] + ".txt")
print(df.head())
def test_connection(bot_id):
f = open("bitmex_api_credential.yml", "r")
data = yaml.load(f)
f.close()
bitmex = ccxt.bitmex(data["test_net"])
bitmex.urls["api"] = bitmex.urls["test"]
return bitmex
def __init__(self):
access = "api"
if TEST:
access = "test"
self.client = ccxt.bitmex(API[access])
self.client.urls["api"] = self.client.urls[access]
self.pair = PAIR
def __init__(self):
conf = configs.read()
api, secret = conf['API_KEY'], conf['API_SECRET']
self.bitmex = ccxt.bitmex({'apiKey': api, 'secret': secret})
# self.bitmex.urls['api'] = self.bitmex.urls['test'] # comment if want to trade at mainnet
self.symbol = 'BTC/USD'
self.longed = False
self.shorted = False
self.timeframe = conf['TIMEFRAME']
logging.info('Timeframe: {}'.format(self.timeframe))
# sl
try:
self.sl_percent = conf['SL_PERCENT'] / 100
except Exception:
self.sl_percent = None
# tp
try:
self.tp_percent = conf['TP_PERCENT'] / 100
except Exception:
self.tp_percent = None
self.RSI_TOP = conf['RSI_TOP']
self.RSI_BOT = conf['RSI_BOT']
self.sl_lvl = -1
self.tp_lvl = -1
self.leverage = conf['LEVERAGE']
self.bitmex.private_post_position_leverage(
{'symbol': 'XBTUSD', 'leverage': self.leverage + 8}) # setup leverage
self.amount = self.get_amount()
self.last_minute = -1
self.date_open = None
self.price_open = 0
self.last_price_close = 0
def __init__(self):
#pubnubから取得した約定履歴を保存するリスト
#self._executions = deque(maxlen=300)
self._lot = 0.1
self._product_code = 'BTC/USD'
#何分足のデータを使うか．初期値は1分足．
self._candleTerm = "1T"
#現在のポジション．1ならロング．-1ならショート．0ならポジションなし．
self._pos = 0
#API key(自分のキーに書き換える)
key = "VHppd1wDBRP3gAcyFGnb1A6f"
secret = "ESffLhyr1SSum1mQ-fiRTlNaK8wtAujeP-MFXLaFYzXimch3"
self.order = order(key, secret)
self.next_order_min = datetime.datetime.now()
self.api = ccxt.bitmex({
'apiKey' : key,
'secret' : secret
})
#ラインに稼働状況を通知(トークンのキーは適宜書き換える)
self.line_notify_token = 'fVXGnTYKe6uORVNOJJzwbpqzUwTpPr01YZWkq3H1X7o'
self.line_notify_api = 'https://notify-api.line.me/api/notify'
#証拠金
#self._margin = self.api.getcollateral()
#注文執行コスト
self._cost = 0
def Account_Balance(exchange):
factory = getattr(ccxt, exchange)()
factory.apiKey = getattr(keychain, exchange).Christian('API')
factory.secret = getattr(keychain, exchange).Christian('Secret')
balances = factory.fetch_total_balance()
usd_Balance = 0
usdt_usd = ccxt.kraken().fetch_ticker('USDT/USD')['last']
try:
btc_usd = ccxt.bitmex().fetch_ticker('BTC/USD')['last']
except:
btc_usd = ccxt.coinbase().fetch_ticker('BTC/USD')['last']
print(btc_usd)
for currency in balances:
if balances[currency] != 0:
time.sleep(0.1)
if currency == 'BTC':
balance = balances[currency] * btc_usd
elif currency == 'USDT':
balance = balances[currency] * usdt_usd
else:
try:
btc_pair = factory.fetch_ticker(f'{currency}/BTC')['last']
balance = balances[currency] * btc_pair * btc_usd
except Exception as e:
print(e)
print(currency, balance)
usd_Balance = usd_Balance + balance
return [usd_Balance, btc_usd]
def bitmex():
bitmex = ccxt.bitmex({
'apiKey':
'cY5zFzXgMjHWgJUal5rmUKtg',
'secret':
'YjNjCYXWF-B035ecnUyjf7FBDhEuS37vnXxFRE2eyz5cSMsV',
})
return bitmex
def __init__(self, key, secret):
self.product_code = 'BTC/USD'
self.key = key
self.secret = secret
self.api = ccxt.bitmex({'apiKey': key, 'secret': secret})
self.api.urls['api'] = self.api.urls['test']
#最新の注文リスト
self.api.fetch_order_book(self.product_code)
def create_exchanges():
"""
instantiate the markets
to include more exchanges use this function.
new exchanges need to be hand-coded here
"""
coinbasepro = ccxt.coinbasepro({
'apiKey': api_keys.coinbasepro['apiKey'],
'secret': api_keys.coinbasepro['secret'],
})
poloniex = ccxt.poloniex({
'apiKey': api_keys.poloniex['apiKey'],
'secret': api_keys.poloniex['secret'],
})
bittrex = ccxt.bittrex({
'apiKey': api_keys.bittrex['apiKey'],
'secret': api_keys.bittrex['secret'],
})
binance = ccxt.binance({
'apiKey': api_keys.binance['apiKey'],
'secret': api_keys.binance['secret'],
})
bitfinex = ccxt.bitfinex({
'apiKey': api_keys.bitfinex['apiKey'],
'secret': api_keys.bitfinex['secret'],
})
kraken = ccxt.kraken({
'apiKey': api_keys.kraken['apiKey'],
'secret': api_keys.kraken['secret'],
})
bitmex = ccxt.bitmex({
'apiKey': api_keys.bitmex['apiKey'],
'secret': api_keys.bitmex['secret'],
})
okex = ccxt.okex({
'apiKey': api_keys.okex['apiKey'],
'secret': api_keys.okex['secret'],
})
exchanges = [
coinbasepro, poloniex, bittrex, binance, bitfinex, kraken, bitmex, okex
]
timing_limits = [.35, .35, 1, .35, 2, 1, 1,
.35] # requesting period limit per exchange
for exchange, timing in zip(exchanges, timing_limits):
g_storage.timer[exchange.name] = [0, timing]
# exchanges.pop(exchanges.index(kraken))
return exchanges
def __init__(self, symbol):
self.ctr = 0
self.symbol = symbol
#self.logger = self.setup_logger()
# hoang: wbFfEOkZqut7OG8rueCPTmEsCsYHyqxakxlg1dNoZbz7EJ6w
# hoang: ZJ7ZG0bDrem884wQkNnvv2PB
api_key = "ZJ7ZG0bDrem884wQkNnvv2PB" #"9FR7reF9F71NDZG_BDoMsfm9" # 8vXVw923QlDRoRtXSwvwbXlU
api_secret = "wbFfEOkZqut7OG8rueCPTmEsCsYHyqxakxlg1dNoZbz7EJ6w" #"TiXEEabXxJ_KX5ev_RoOnB-JVQqDdj4AAMJvRBXpPhtAKGVH" # nFZS4qiArohuyY_4J9oGBk49X2iL5LteAXCrHcHveF6j5Gwi
# Instantiating the WS will make it connect. Be sure to add your api_key/api_secret.
self.ws = BitMEXWebsocket(endpoint="https://www.bitmex.com/api/v1",
symbol=self.symbol,
api_key=api_key,
api_secret=api_secret)
self.ws.get_instrument()
#self.logger.info("Instrument data: %s" % self.ws.get_instrument())
self.client = bitmex.bitmex(test=False,
api_key=api_key,
api_secret=api_secret)
self.last_r = None
self.last_spread = None
#self.clean = False
self.tick = []
self.cur_volatility = None
self.act_volatility = None
self.streak = 0
self.prev_len = 0
self.cur_len = 0
self.idle = 0
self.first = True
self.sleep_ctr = 0
self.general_ctr = 0
exchange = ccxt.bitmex()
date_N_days_ago = (
datetime.datetime.now() -
datetime.timedelta(hours=2)).strftime("%Y-%m-%d %H:%M:%S")
since = time.mktime(
datetime.datetime.strptime(date_N_days_ago,
"%Y-%m-%d %H:%M:%S").timetuple()) * 1000
df = exchange.fetch_ohlcv('ETH/USD',
timeframe='1m',
since=since,
limit=500)
df = pd.DataFrame(df)
df.columns = ["Timestamp", "Open", "High", "Low", "tick", "Volume"]
self.df = pd.DataFrame({'tick': df.tick.values.tolist()})
#print (df.tail())
#print (self.df.tail())
# always fetch df using ccxt
# check number of pos: if len(pos) > 0 : self.first = False
logging.info("App Initiated!")
def create_client(self):
self.client = ccxt.bitmex({
'enableRateLimit': True,
'rateLimit': 3000,
"apiKey": KEY,
"secret": SECRET
})
#print(dir(self.client))
self.client.urls['api'] = self.client.urls['test']
def connection():
bitmex = ccxt.bitmex()
bitmex.apiKey = BITMEX_PARAMS['api_key']
bitmex.secret = BITMEX_PARAMS['SECRET_KEY']
#区分是否使用了测试连接
if BITMEX_PARAMS['URL'] == 'test':
bitmex.urls["api"] = bitmex.urls["test"]
#print(bitmex.fetch_balance())
return bitmex
def __init__(self):
"""
"""
self.exchange = ccxt.bitmex()
self.messager = Messenger()
self.config = {}
self.config_file = "config.json"
self.load_config()
self.fee_rate = 0.002
def __init__(self):
self.exchange = ExchangeInterface(settings.DRY_RUN)
# Once exchange is created, register exit handler that will always cancel orders
# on any error.
atexit.register(self.exit)
signal.signal(signal.SIGTERM, self.exit)
logger.info("Using symbol %s." % self.exchange.symbol)
if settings.DRY_RUN:
logger.info(
"Initializing dry run. Orders printed below represent what would be posted to BitMEX."
)
else:
logger.info(
"Order Manager initializing, connecting to BitMEX. Live run: executing real trades."
)
self.start_time = datetime.datetime.now()
self.instrument = self.exchange.get_instrument()
self.starting_qty = self.exchange.get_delta()
self.running_qty = self.starting_qty
self.cur_volatility = None
self.act_volatility = None
self.streak = 0
self.prev_len = 0
self.cur_len = 0
self.idle = 0
self.first = True
self.sleep_ctr = 0
self.general_ctr = 0
self.ctr = 0
self.to_record_vola = True
exchange = ccxt.bitmex()
logger.info('Connected to CCXT')
date_N_days_ago = (
datetime.datetime.now() -
datetime.timedelta(hours=2)).strftime("%Y-%m-%d %H:%M:%S")
since = time.mktime(
datetime.datetime.strptime(date_N_days_ago,
"%Y-%m-%d %H:%M:%S").timetuple()) * 1000
df = exchange.fetch_ohlcv('ETH/USD',
timeframe='1m',
since=since,
limit=500)
df = pd.DataFrame(df)
df.columns = ["Timestamp", "Open", "High", "Low", "tick", "Volume"]
self.df = pd.DataFrame({'tick': df.tick.values.tolist()})
logger.info('Retrieved data from CCXT! Len df: {}'.format(len(
self.df)))
self.reset()
def connection(): #返会一个CCXT.bitmex类的对象 所有CCXT中关于BITMEX的方法都存在这里面
bitmex = ccxt.bitmex()
bitmex.apiKey = BITMEX_PARAMS['api_key']
bitmex.secret = BITMEX_PARAMS['SECRET_KEY']
#区分是否使用了测试连接
if BITMEX_PARAMS['URL'] == 'https://testnet.bitmex.com':
bitmex.urls["api"] = bitmex.urls["test"]
print('模拟盘交易')
else:
print('实盘交易')
return bitmex
def init_exchange(exchange):
params = {
'apiKey': api_key,
'secret': api_secret
}
if exchange == 'bitmex':
return ccxt.bitmex(params)
elif exchange == 'bitfinex':
return ccxt.bitfinex(params)
else:
return
def bitmex(): #CCXT を呼び出す関数
bitmex = ccxt.bitmex({
#APIキーを自分のものに差し替える
"apiKey": "",
"secret": ""
})
bitmex.urls['api'] = bitmex.urls['test'] #テスト用 本番口座の場合は不要
return bitmex
def get_exchange(self):
"""
取引所情報を取得する
:rtype: object
:return: 取引所情報
"""
if self.exchange is None:
self.exchange = ccxt.bitmex()
return self.exchange
def __init__(self):
super().__init__()
self.exchanges = {
"bitmex": {
"api_key": self.api_key,
"secret": self.api_secret
},
}
self.bitmex = ccxt.bitmex()
self.bitmex.apiKey = self.exchanges["bitmex"]["api_key"]
self.bitmex.secret = self.exchanges["bitmex"]["secret"]
def getCandlestick(self, number, period):
"""
number:ローソク足の数．period:ローソク足の期間（文字列で秒数を指定，Ex:1分足なら"60"）．cryptowatchはときどきおか
しなデータ（price=0）が含まれるのでそれを除く．
"""
timest = ccxt.bitmex().fetch_ticker('BTC/USD')['timestamp']
timest = timest - number * int(period) * 1000
time_dic = {"60": "1m", "300":"5m", "3600": "1h"}
res = ccxt.bitmex().fetch_ohlcv('BTC/USD', timeframe = time_dic[period], since = timest)
data = []
for i in res:
if i[4] != 0:
column = i[0:5]
data.append(column)
return data
def __init__(self, g, event_queue, data_handle):
self.event_queue = event_queue
self.data_handle = data_handle
self.g = g
self.bulks = []
self.result = []
self.ex = cxt.bitmex({
'apiKey': self.g.apiKey,
'secret': self.g.apiSecret,
'timeout': 60000,
})
def __init__(self, apiKey, secretKey, trade_amount, leverage, stop):
self.bitmex = ccxt.bitmex({
'apiKey': apiKey,
'secret': secretKey,
'timeout': 30000,
'enableRateLimit': True,
})
self.symbol = 'BTC/USD'
self.balance = {'BTC': 0.0, 'USD': 0.0}
self.trade_amount = trade_amount
self.leverage = leverage
self.stop = stop
def __init__(self, public_key, secret_key, symbol, jys_name,
do_it_testnet):
self.symbol = symbol
if jys_name == 'bitmex':
self.agent = ccxt.bitmex()
if do_it_testnet:
if 'test' in self.agent.urls:
self.agent.urls['api'] = self.agent.urls['test']
else:
Log('Can not translate into bitmex testnet')
self.agent.apiKey = public_key
self.agent.secret = secret_key
def start(self):
self.exception = None
threading.Thread(target=self.timer).start()
try:
self.candles = ccxt.bitmex().fetchOHLCV("BTC/USD", '1m', (calendar.timegm(time.gmtime()) - 19 * 60) * 1000, 19)
self.XBTUSD.run_forever()
except Exception as e:
self.exception = e
file = open('/home/leon/scripts/bitmexWidget.log', 'a')
file.write(str(self.exception))
file.close()
self.tick()
def get_exchange_list():
bittrex_exchange = ccxt.bittrex()
binance_exchange = ccxt.binance()
kucoin_exchange = ccxt.kucoin()
huobiPro_exchange = ccxt.huobipro()
cryptopia_exchange = ccxt.cryptopia()
bitmex_exchange = ccxt.bitmex()
list_of_exchanges = [
bittrex_exchange, binance_exchange, kucoin_exchange, huobiPro_exchange,
cryptopia_exchange
]
return list_of_exchanges
# -*- coding: utf-8 -*-
import os
import sys
import time
root = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
sys.path.append(root + '/python')
import ccxt # noqa: E402
bitmex = ccxt.bitmex()
# params:
symbol = 'BTC/USD'
timeframe = '1m'
limit = 100
params = {'partial': False} # ←-------- no reversal
while True:
# pay attention to since with respect to limit if you're doing it in a loop
since = bitmex.milliseconds() - limit * 60 * 1000
candles = bitmex.fetch_ohlcv(symbol, timeframe, since, limit, params)
num_candles = len(candles)
print('{}: O: {} H: {} L:{} C:{}'.format(
bitmex.iso8601(candles[num_candles - 1][0]),
candles[num_candles - 1][1],
candles[num_candles - 1][2],
candles[num_candles - 1][3],
def get_bitmex_data(symbol, timeframe, length, include_current_candle = True, file_format = ['txt', 'csv'], api_cooldown_seconds = 0):
"""
Download Crypto OHLCV Data from BitMEX.
The function fetches OHLCV data via the specified paramteres from the public BitMEX API,
merges it into a Pandas Data Frame and optionally saves the Data Frame as .txt and/or .csv file.
Through concatenation more data than specified by the maximal request length of the exchange
can be fetched.
Additional timeframes are available (merged from smaller timeframes).
Parameters
----------
symbol : str
Symbol of the underlying data, e.g. 'BTC/USD'
timeframe : str
Timeframe of the underlying data, e.g. '1h'
length : int
Number of Timeframes (Data length), e.g. 500
include_current_candle : bool
Include the current, not finished, candle, e.g. True
file_format : str, list
Which file format should be used to save the data, e.g. 'csv' or ['txt', 'csv']
api_cooldown_seconds : int, float
When fetching a lot of data this allows each request to the API to be made after
the amount in seconds has passed.
This prevents possible API errors due to too many requests within a short time.
Returns
-------
Pandas Data Frame and optionally .txt and/or .csv file.
A table with headers 'Timestamp', 'Open', 'High', 'Low', 'Close', 'Volume' containing the requested data.
Dependencies
------------
import ccxt
import time
import csv
import pandas as pd
"""
data_limit = 500 # int(ccxt.bitmex({}).describe()['ratelimit']) returns 2000
bitmex_symbols = [market['symbol'] for market in ccxt.bitmex({}).fetch_markets()]
bitmex_timeframes = {'1m': 60*1000, '5m': 5*60*1000, '1h': 60*60*1000, '1d': 24*60*60*1000}
missing_timeframes = {'3m': ['1m', 3, 1*60*1000], '15m': ['5m', 3, 5*60*1000], '30m': ['5m', 6, 5*60*1000], '2h': ['1h', 2, 60*60*1000], '3h': ['1h', 3, 60*60*1000], '4h': ['1h', 4, 60*60*1000], '6h': ['1h', 6, 60*60*1000], '12h': ['1h', 12, 60*60*1000], '3d': ['1d', 3, 24*60*60*1000], '1w': ['1d', 7, 24*60*60*1000], '2w': ['1d', 14, 24*60*60*1000]}
timestamp = []
openx = []
high = []
low = []
close = []
volume = []
timestamp_temp = []
openx_temp = []
high_temp = []
low_temp = []
close_temp = []
volume_temp = []
proceed = True
if symbol not in bitmex_symbols:
print("ERROR:\tPlease use one of the following Symbols:\n\t" + "\n\t".join(sorted(bitmex_symbols)))
proceed = False
if not(timeframe in bitmex_timeframes.keys() or timeframe in missing_timeframes.keys()):
print("ERROR:\tPlease use one of the following Timeframes:\n\tMinute:\t'1m', '3m', '5m', '15m', '30m',\n\tHour:\t'1h', '2h', '3h', '4h', '6h', '12h',\n\tDay:\t'1d', '3d',\n\tWeek:\t'1w', '2w'")
proceed = False
if not isinstance(length, int) or length < 1:
print("ERROR:\tPlease use a reasonable number for the argument 'length'.")
proceed = False
if type(include_current_candle) != bool:
print("ERROR:\tPlease use boolean values for argument 'include_current_candle' only.")
proceed = False
if not(file_format == 'txt' or file_format == 'csv' or file_format == ['txt'] or file_format == ['csv'] or file_format == ['csv', 'txt'] or file_format == ['txt', 'csv'] or
file_format == '' or file_format == [] or file_format == [''] or file_format == None):
print("ERROR:\tAllowed values for argument 'file_format' are 'csv', 'txt', ['csv', 'txt'].\n\tIf you do not wish to save the data please use either '', [''], [], None.")
proceed = False
if file_format == '' or file_format == [] or file_format == [''] or file_format == None:
file_format = []
if file_format == 'csv':
file_format = ['csv']
if file_format == 'txt':
file_format = ['txt']
if not isinstance(api_cooldown_seconds, (int, float)) or api_cooldown_seconds < 0 or api_cooldown_seconds > 60:
print("ERROR:\tPlease use a reasonable 'api_cooldown_seconds' number of seconds (between 0 and 60).")
proceed = False
if proceed == True:
if timeframe in missing_timeframes.keys():
if include_current_candle == True:
n_bulk = (length * missing_timeframes[timeframe][1]) // data_limit
remainder = (length * missing_timeframes[timeframe][1]) % data_limit
if include_current_candle == False:
n_bulk = ((length + 1) * missing_timeframes[timeframe][1]) // data_limit
remainder = ((length + 1) * missing_timeframes[timeframe][1]) % data_limit
while n_bulk > 0:
since = round(ccxt.bitmex({}).milliseconds() - (ccxt.bitmex({}).milliseconds() % (missing_timeframes[timeframe][1] * missing_timeframes[timeframe][2])) - (n_bulk * data_limit * missing_timeframes[timeframe][2]) - (remainder * missing_timeframes[timeframe][2]))
for block in ccxt.bitmex({}).fetch_ohlcv(symbol = symbol, timeframe = missing_timeframes[timeframe][0], since = (since + (missing_timeframes[timeframe][1] * missing_timeframes[timeframe][2])), limit = data_limit):
timestamp_temp.append(block[0] - missing_timeframes[timeframe][2])
openx_temp.append(block[1])
high_temp.append(block[2])
low_temp.append(block[3])
close_temp.append(block[4])
volume_temp.append(block[5])
n_bulk -= 1
if n_bulk > 0 or remainder > 0:
time.sleep(api_cooldown_seconds)
if remainder > 0:
since = round(ccxt.bitmex({}).milliseconds() - (ccxt.bitmex({}).milliseconds() % (missing_timeframes[timeframe][1] * missing_timeframes[timeframe][2])) - (remainder * missing_timeframes[timeframe][2]))
for block in ccxt.bitmex({}).fetch_ohlcv(symbol = symbol, timeframe = missing_timeframes[timeframe][0], since = (since + (missing_timeframes[timeframe][1] * missing_timeframes[timeframe][2])), limit = remainder + 1):
timestamp_temp.append(block[0] - missing_timeframes[timeframe][2])
openx_temp.append(block[1])
high_temp.append(block[2])
low_temp.append(block[3])
close_temp.append(block[4])
volume_temp.append(block[5])
if length > 1:
for i in [num for num in range(1, len(timestamp_temp), missing_timeframes[timeframe][1])][:-1]:
timestamp.append(timestamp_temp[i])
openx.append(openx_temp[i])
high.append(max(high_temp[i:i + missing_timeframes[timeframe][1]]))
low.append(min(low_temp[i:i + missing_timeframes[timeframe][1]]))
close.append(close_temp[i + (missing_timeframes[timeframe][1] - 1)])
volume.append(sum(volume_temp[i:i + missing_timeframes[timeframe][1]]))
# append all available remaining smaller timeframes to the lists
timestamp.append(timestamp_temp[i + missing_timeframes[timeframe][1]])
openx.append(openx_temp[i + missing_timeframes[timeframe][1]])
high.append(max(high_temp[i + missing_timeframes[timeframe][1]:]))
low.append(min(low_temp[i + missing_timeframes[timeframe][1]:]))
close.append(close_temp[-1])
volume.append(sum(volume_temp[i + missing_timeframes[timeframe][1]:]))
if length == 1:
timestamp.append(timestamp_temp[1])
openx.append(openx_temp[1])
high.append(max(high_temp[1:]))
low.append(min(low_temp[1:]))
close.append(close_temp[-1])
volume.append(sum(volume_temp[1:]))
if timeframe not in missing_timeframes.keys():
if include_current_candle == True:
n_bulk = length // data_limit
remainder = length % data_limit
if include_current_candle == False:
n_bulk = (length + 1) // data_limit
remainder = (length + 1) % data_limit
while n_bulk > 0:
since = ccxt.bitmex({}).milliseconds() - (n_bulk * data_limit * bitmex_timeframes[timeframe]) - (remainder * bitmex_timeframes[timeframe])
for block in ccxt.bitmex({}).fetch_ohlcv(symbol = symbol, timeframe = timeframe, since = (since + bitmex_timeframes[timeframe]), limit = data_limit):
timestamp.append(block[0] - bitmex_timeframes[timeframe])
openx.append(block[1])
high.append(block[2])
low.append(block[3])
close.append(block[4])
volume.append(block[5])
n_bulk -= 1
if n_bulk > 0 or remainder > 0:
time.sleep(api_cooldown_seconds)
if remainder > 0:
since = ccxt.bitmex({}).milliseconds() - (remainder * bitmex_timeframes[timeframe])
for block in ccxt.bitmex({}).fetch_ohlcv(symbol = symbol, timeframe = timeframe, since = (since + bitmex_timeframes[timeframe]), limit = remainder + 1):
timestamp.append(block[0] - bitmex_timeframes[timeframe])
openx.append(block[1])
high.append(block[2])
low.append(block[3])
close.append(block[4])
volume.append(block[5])
data_identifier = 'bitmex_' + ''.join(symbol.split('/')) + '_' + str(timeframe) + '_' + str(length) + ('_including_current_candle' if include_current_candle == True else '_NOT_including_current_candle')
if file_format != []:
for ending in file_format:
# specify where to save the files e.g.
#with open('/Users/username/Desktop/' + data_identifier + '.' + str(ending), 'w') as csvfile:
with open(data_identifier + '.' + str(ending), 'w') as csvfile:
writer = csv.writer(csvfile, delimiter = ',', quotechar = '|', quoting = csv.QUOTE_MINIMAL)
writer.writerow([head for head in ['Timestamp', 'Open', 'High', 'Low', 'Close', 'Volume']])
if include_current_candle == True:
write = zip(timestamp, openx, high, low, close, volume)
if include_current_candle == False:
write = zip(timestamp[:-1], openx[:-1], high[:-1], low[:-1], close[:-1], volume[:-1])
for entry in write:
writer.writerow(entry)
if include_current_candle == True:
df = pd.DataFrame(list(zip(timestamp, openx, high, low, close, volume)), columns = ['Timestamp', 'Open', 'High', 'Low', 'Close', 'Volume'])
df.name = data_identifier
return df
if include_current_candle == False:
df = pd.DataFrame(list(zip(timestamp[:-1], openx[:-1], high[:-1], low[:-1], close[:-1], volume[:-1])), columns = ['Timestamp', 'Open', 'High', 'Low', 'Close', 'Volume'])
df.name = data_identifier
return df
