def __init__(self, api_key, secret_key):
# 赋值 字符串
self.name = 'qianqiancelue' + '20200105'
# 实例化一个外部类 需要传入一个字典 dict {}
self.api = ccxt.fcoin({'apiKey': api_key, 'secret': secret_key})
# 声明列表 list []
self.orders_id = []
# 往列表添加元素
self.orders_id.append(str(666))
self.orders_id.append(int('888'))
# for 循环遍历 同时 赋值
for item in self.orders_id:
print(item) # '666' 888
# 删除元素
del (self.orders_id[1]) # delete 888
del (self.orders_id[0]) # delete '666'
# 赋值 整型
self._time_interval = 10
import time
import ccxt
import matplotlib.pyplot as plt
import logging
n_states = pow(3, 7) # 环境状态个数
actions = ['buy', 'sell', 'wait']
epsilon = 0.9 # 贪心率
alpha = 0.1 # 学习速率 越大学习越快 但有可能很容易记住噪音特征
gamma = 0.9 # 折扣因子 越大越信任己有经验，越小越看重每次奖励
max_epsilon = 3 # 最大学习回合数
api_key = 'c778848925934310a15db6755659c4af'
secret_key = 'd7c9a9a9ced84200afe4f51a8e1bdc01'
exchange = ccxt.fcoin({"apiKey": api_key, "secret": secret_key})
amount = 0.01
fee = 0
symbol = 'BTC/USDT'
period = 60
# 创建Qtable
def build_q_table(n_states, actions):
table = pd.DataFrame(
np.zeros((n_states, len(actions))),
columns=actions,
)
print(table)
return table
newline='')
write = csv.writer(file, dialect='excel')
for i in range(len(data)):
write.writerow(data.iloc[i])
file.close()
time.sleep(1)
if __name__ == '__main__':
obj_list = [
ccxt.okex(),
ccxt.huobipro(),
ccxt.binance(),
ccxt.bitmax(),
ccxt.fcoin(),
ccxt.upbit()
]
file = open('config.txt', 'r')
config = json.loads(file.read())
file.close()
mkdir(config['name_list'])
time_info = get_time_info(config['name_list'], config['symbol_list'])
info_queue = Queue()
for obj, name in zip(obj_list, config['name_list']):
crawl = CrawlInfo(obj, info_queue, name, config['symbol_list'])
crawl.start()
for i in range(3):
Parse_thread = Parse(info_queue)
Parse_thread.start()
Update_thread = Update()
import ccxt
import pandas as pd
pd.set_option('expand_frame_repr', False)
symbol = "NEWOS/ETH"
apiKey = '1ca4c9f5f5bf45b4a984fee9cc392dae'
secret = '2f3abdb44cc341088383d91e08e689ef'
fcoin = ccxt.fcoin({'apiKey': apiKey, 'secret': secret})
if __name__ == '__main__':
data = fcoin.fetch_balance()
balances = data['info']['data']
for balance in balances:
if balance['currency'] == 'newos' or balance['currency'] == 'eth':
print(balance)
console.setLevel(logging.DEBUG)
formatter = logging.Formatter('[%(asctime)s] %(message)s')
handler = logging.FileHandler("btc_%s.txt" % time.strftime("%Y-%m-%d %H-%M-%S"))
handler.setLevel(logging.DEBUG)
handler.setFormatter(formatter)
logger.addHandler(console)
logger.addHandler(handler)
f = open('accounts.txt')
lines = f.readlines()
acct_id = int(lines[-1])
api_key = lines[acct_id*2 - 2].strip('\n')
seceret_key = lines[acct_id*2 - 1].strip('\n')
fcoin = Fcoin()
fcoin.auth(api_key, seceret_key) # fcoin.margin_buy('ethusdt', 0.01, 10)
ex0 = ccxt.fcoin()
ex1 = ccxt.okex3()
ex2 = ccxt.binance()
ex3 = ccxt.huobipro()
type = 'limit'
trend = 0
trend_0, trend_1, trend_2, trend_3, trend_cmb = [], [], [], [], []
pre_price_0 = 0
pre_price_1, score_1 = 0, 0
pre_price_2, score_2 = 0, 0
pre_price_3, score_3 = 0, 0
pre_price_4, score_4 = 0, 0
pre_price_5, score_5 = 0, 0
pre_price_cmb, score_cmb = 0, 0
buy_id = []
sell_id = []
logger.info("btc机会来了 %s %s" %
(ft_usdt_askOne, 1.01 * ft_btc_bidOne * btc_usdt_bidOne))
trade(exchange, 'BTC/USDT', btc_usdt_bidOne, ft_btc_bidOne,
ft_usdt_askOne)
else:
logger.info("%s %s" %
(ft_usdt_askOne, 1.01 * ft_btc_bidOne * btc_usdt_bidOne))
def trade(exchange, symbol, bidOne, bidTwo, askOne):
# firstly buy btc or eth using usdt,
freeAmount = exchange.fetch_balance()['USDT']['free']
tradeAmount = min(min(bidOne, bidTwo, askOne), freeAmount)
order = exchange.create_market_buy_order('BTC/USDT', tradeAmount)
count = 0
orderStatus = ''
while count < 5:
orderStatus = fcoin.fetch_order(order['id'], 'BTC/USDT')['status']
if orderStatus != 'closed':
time.sleep(50)
count += 1
else:
break
if count == 5:
print('order can not be closed, exceed max retry count')
fcoin = ccxt.fcoin({'apiKey': '40', 'secret': 'b9'})
print(fcoin.fetch_balance()['USDT']['free'])
sameExchangseAlg(fcoin)