def mercados(exch='allcoin', moedas=['ETH', 'LTC', 'BTG']):
if not exch:
exch = ccxt.allcoin()
if exch == 'allcoin':
exch = ccxt.allcoin()
else:
exch = ccxt.allcoin()
markets = exch.load_markets()
market_pairs = list(markets.keys())
aux = []
for pair in market_pairs:
if (str(moedas[0]) in pair or str(moedas[1]) in pair
or str(moedas[2]) in pair) and 'BTC' in pair:
aux.append(pair)
return (aux)
def get_allcoin_captura(self):
allcoin = ccxt.allcoin()
ohclv = allcoin.fetch_ohlcv(symbol=self.symbol,
timeframe=self.time_frame,
since=self.time1)
ohclv = np.array(ohclv)
mercado = self.symbol
l_timestamp = list(ohclv[:, 0] / 1000)
l_date = []
l_open = list(ohclv[:, 1])
l_high = list(ohclv[:, 2])
l_close = list(ohclv[:, 3])
l_low = list(ohclv[:, 4])
l_volume = list(ohclv[:, 5])
for i in range(len(ohclv)):
timestamp = l_timestamp[i]
t = datetime.datetime.fromtimestamp(timestamp)
#lista_date.append(str(t.year)+'-'+str(t.month)+'-'+str(t.day))
l_date.append(t)
#l_timestamp.append(ohclv[i][0]/1000)
#l_close.append(ohclv[i][2])
struct_df = {
"datetime": l_date,
"timestamp": l_timestamp,
"close": l_close,
"high": l_high,
"low": l_low,
"open": l_open,
"volume": l_volume,
}
allcoin = pd.DataFrame(struct_df)
return (allcoin)
def ccxt_get_allcoin(time_frame = "1d"):
#### Pega dados allcoin ####
allcoin = ccxt.allcoin()
ohclv = allcoin.fetch_ohlcv(symbol="LTC/BTC",timeframe=time_frame,since=time1)
ohclv = np.array(ohclv)
mercado = 'ltc/btc'
l_timestamp = list(ohclv[:,0]/1000)
l_date = []
l_open = list(ohclv[:,1])
l_high = list(ohclv[:,2])
l_close = list(ohclv[:,3])
l_low = list(ohclv[:,4])
l_volume = list(ohclv[:,5])
for i in range(len(ohclv)):
timestamp = l_timestamp[i]
t = datetime.datetime.fromtimestamp(timestamp)
#lista_date.append(str(t.year)+'-'+str(t.month)+'-'+str(t.day))
l_date.append(t)
#l_timestamp.append(ohclv[i][0]/1000)
#l_close.append(ohclv[i][2])
struct_df = {
"datetime": l_date,
"timestamp":l_timestamp,
"close":l_close,
"high":l_high,
"low":l_low,
"open":l_open,
"volume":l_volume,
}
allcoin_btc_ltc = pd.DataFrame(struct_df)
return(allcoin_btc_ltc)
import numpy as np
import ccxt
#exchanges = ["Mercado", "Binance", "Bitfinex", "Bittrex", "Cex", "Cryptopia", "Exmo", "Gatecoin", "Hitbtc",
#"Huobipro", "Kraken", "Kucoin", "Livecoin", "Okex", "Poloniex", "Qryptos", "Quadrigacx", "Southxchange", "Yobit"]
exchanges = [
"Cex", "Poloniex", "Qryptos", "mercado", "foxbit", "negociecoins",
"bleutrade", "braziliex"
]
allcoin = ccxt.allcoin()
clients = [getattr(ccxt, e.lower())() for e in exchanges]
symbols = [
"ADA/BTC", "BCH/BTC", "BTG/BTC", "BTS/BTC", "CLAIM/BTC", "DASH/BTC",
"DOGE/BTC", "EDO/BTC", "EOS/BTC", "ETC/BTC", "ETH/BTC", "FCT/BTC",
"ICX/BTC", "IOTA/BTC", "LSK/BTC", "LTC/BTC", "MAID/BTC", "NEO/BTC",
"OMG/BTC", "QTUM/BTC", "STR/BTC", "TRX/BTC", "VEN/BTC", "XEM/BTC",
"XLM/BTC", "XMR/BTC", "XRP/BTC", "ZEC/BTC"
]
ask = np.zeros((len(symbols), len(clients)))
bid = np.zeros((len(symbols), len(clients)))
for row, symbol in enumerate(symbols):
for col, client in enumerate(clients):
try:
book = client.fetch_order_book(symbol)
import ccxt
exchanges = [
ccxt._1broker(),
ccxt._1btcxe(),
ccxt.acx(),
ccxt.allcoin(),
ccxt.anxpro(),
ccxt.bibox(),
ccxt.binance(),
ccxt.bit2c(),
ccxt.bitbank(),
ccxt.bitbay(),
ccxt.bitfinex(),
ccxt.bitfinex2(),
ccxt.bitflyer(),
ccxt.bithumb(),
ccxt.bitkk(),
ccxt.bitlish(),
ccxt.bitmarket(),
ccxt.bitmex(),
ccxt.bitso(),
ccxt.bitstamp(),
ccxt.bitstamp1(),
ccxt.bittrex(),
ccxt.bitz(),
ccxt.bl3p(),
ccxt.bleutrade(),
ccxt.braziliex(),
ccxt.btcbox(),
ccxt.btcchina(),
import ccxt
import datetime
import time
# OK! speed bitkk ——》bitforex-》 huobiru ->coinex
exchange = ccxt.allcoin({
'proxies': {
'http': 'http://144.202.27.74:8888', # no auth
'https': 'https://144.202.27.74:8888', # no auth
}
})
data = exchange.fetch_ticker('BTC/USDT')
print(data)
# exchange = ccxt.coinex()
# timeStart1 = datetime.datetime.now()
# data = exchange.fetch_ticker('BTC/USDT')
# timeEnd1 = datetime.datetime.now()
# print(data)
# print("iso t: %s" % timeStart1.isoformat())
# print(timeEnd1-timeStart1)
# exchange = ccxt.huobiru()
# print("exchange:",exchange["url"])
# timeStart1 = datetime.datetime.now()
# data = exchange.fetch_ticker('EOS/USDT')
# timeEnd1 = datetime.datetime.now()
# print(data)