import numpy as np
import json
#全局变量
price_precision = {}
amount_precision = {}
hands = {}
can_buy_price = {}
can_sell_price = {}
class mid_class():
def __init__(self, this_exchange):
'''
初始化数据填充交易所的信息，首次获取价格，首次获取account信息
设定好密钥……
Args:
this_exchange: FMZ的交易所结构
'''
self.init_timestamp = time.time()
self.exchange = this_exchange
self.name = self.exchange.GetName()
self.jyd = self.exchange.GetCurrency()
def get_precision(self,pair):
'''
获取交易对的价格精度和数量精度
'''
precision = [4,6,1]
if pair not in price_precision.keys():
Log('没有配置价格精度： ' + pair)
return precision
if pair not in amount_precision.keys():
Log('没有配置数量精度: ' + pair)
return precision
if pair not in hands.keys():
Log('没有配置一手数量: ' + pair)
return precision
return [price_precision[pair], amount_precision[pair], hands[pair]]
def switch_currency(self,pair):
'''
替换交易对
'''
self.exchange.IO("currency",pair)
def get_account(self):
'''
获取账户信息
Returns:
获取信息成功返回True，获取信息失败返回False
'''
self.Balance = '---'
self.Amount = '---'
self.FrozenBalance = '---'
self.FrozenStocks = '---'
try:
self.account = self.exchange.GetAccount()
self.Balance = self.account['Balance']
self.Amount = self.account['Stocks']
self.FrozenBalance = self.account['FrozenBalance']
self.FrozenStocks = self.account['FrozenStocks']
return True
except:
return False
def get_ticker(self):
'''
获取市价信息
Returns:
获取信息成功返回True，获取信息失败返回False
'''
self.high = '---'
self.low = '---'
self.Sell = '---'
self.Buy = '---'
self.last = '---'
self.Volume = '---'
try:
self.ticker = self.exchange.GetTicker()
self.high = self.ticker['High']
self.low = self.ticker['Low']
self.Sell = self.ticker['Sell']
self.Buy = self.ticker['Buy']
self.last = self.ticker['Last']
self.Volume = self.ticker['Volume']
return True
except:
return False
def get_depth(self):
'''
获取深度信息
Returns:
获取信息成功返回True，获取信息失败返回False
'''
self.Ask = '---'
self.Bids = '---'
try:
self.Depth = self.exchange.GetDepth()
self.Ask = self.Depth['Asks']
self.Bids = self.Depth ['Bids']
return True
except:
return False
def get_ohlc_data(self, period = PERIOD_M1):
'''
获取K线信息
Args:
period: K线周期，PERIOD_M1 指1分钟, PERIOD_M5 指5分钟, PERIOD_M15 指15分钟,
PERIOD_M30 指30分钟, PERIOD_H1 指1小时, PERIOD_D1 指一天。
'''
self.ohlc_data = exchange.GetRecords(period)
def create_order(self, order_type, price, amount):
'''
post一个挂单信息
Args:
order_type：挂单类型，'buy'指挂买单，'sell'指挂卖单
price：挂单价格
amount:挂单数量
Returns:
挂单Id号，可用以取消挂单
'''
if order_type == 'buy':
try:
order_id = self.exchange.Buy( price, amount)
except:
return False
elif order_type == 'sell':
try:
order_id = self.exchange.Sell( price, amount)
except:
return False
return order_id
def get_orders(self):
self.undo_ordes = self.exchange.GetOrders()
return self.undo_ordes
def cancel_order(self, order_id):
'''
取消一个挂单信息
Args:
order_id：希望取消的挂单ID号
Returns:
取消挂单成功返回True，取消挂单失败返回False
'''
return self.exchange.CancelOrder(order_id)
def refreash_data(self):
'''
刷新信息
Returns:
刷新信息成功返回 'refreash_data_finish!' 否则返回相应刷新失败的信息提示
'''
if not self.get_account():
return 'false_get_account'
if not self.get_ticker():
return 'false_get_ticker'
if not self.get_depth():
return 'false_get_depth'
try:
self.get_ohlc_data()
except:
return 'false_get_K_line_info'
return 'refreash_data_finish!'
class qushi_class():
def __init__(self, mid_class, amount_N, price_N):
'''
设定好初始需要考虑的参数
Args:
mid_class: 所使用的交易所中间层
amount_N：数量小数点限制
price_N：价格小数点限制
Attributes：
amount_N：数量小数点限制
price_N：价格小数点限制
init_time：初始时间
last_time：上一次执行操作的时间
trade_list:交易请求的id
'''
self.jys = mid_class
self.init_time = time.time()
self.last_time = time.time()
self.amount_N = amount_N
self.price_N = price_N
self.trade_list = []
def cancel_orders(self):
'''
遍历当前挂单，如果时间超时则取消
'''
undo_orders = self.jys.get_orders()
for i in range(len(undo_orders)):
self.jys.cancel_order(undo_orders[i].Id)
def refreash_data(self):
'''
用来从交易所获取最新的价格和数量信息
Attributes：
B：商品币数量
money：计价币数量
can_buy_B：当前理论可购买商品币数量
Buy_price:当前市场上最近的一单挂单买价
'''
message = self.jys.refreash_data()
if message == 'refreash_data_finish!':
self.B = self.jys.Amount
self.money = self.jys.Balance
self.Buy_price = self.jys.Buy
self.Sell_price = self.jys.Sell
self.can_buy_B = self.money/ self.Sell_price * 0.9
#要求仓位只能是30%
if self.B > ((self.B + self.can_buy_B)*0.3):
self.can_buy_B = 0
else:
self.can_buy_B = _N(self.can_buy_B, self.amount_N )
return True
else:
return False
def make_trade_by_dict(self, trade_dicts):
'''
用来批量完成交易订单
Attributes：
trade_list:已提交的交易请求的id
'''
for this_trade in trade_dicts:
this_price = _N(this_trade['price'], self.price_N )
this_amount = _N(this_trade['amount'], self.amount_N )
this_trade_id = self.jys.create_order( this_trade['side'], this_price , this_amount )
self.trade_list.append( this_trade_id )
def condition_chicang(self, hands_num):
'''
根据持仓情况来做交易判定的条件
Args:
hands_num：表示交易一共几手（我们假设当前每次交易不高于一手）
Attributes：
min_trade_B: 一手最多交易的商品币数量
min_trade_money: 一手最多交易的计价币数量
'''
self.min_trade_B = (self.can_buy_B + self.B) / hands_num
self.min_buy_B = min(self.min_trade_B, self.can_buy_B)
self.min_sell_B = min(self.min_trade_B, self.B)
self.min_trade_money = self.min_trade_B* self.jys.Buy
def condition_qushi(self):
'''
根据市场价格情况来做交易判定的条件
'''
rt = False
currency = self.jys.jyd
#Log('cur price' + self.jys.Sell)
#Log('cur range' + can_buy_price[currency][0])
if self.jys.Sell > can_buy_price[currency][0] and self.jys.Sell < can_buy_price[currency][1]:
rt = 'Buy'
if self.jys.Buy > can_sell_price[currency][0] and self.jys.Buy < can_sell_price[currency][1]:
rt = 'Sell'
return rt
def make_trade_dicts(self, hands_num ):
'''
制作交易用字典表单
Args:
hands_num：一共交易多少手
change_pct：价格变化多少交易一手
Returns：
this_trade_dicts: 根据当前价格变化，制作出需交易的字典的列表
'''
self.condition_chicang(hands_num)
rt = self.condition_qushi()
this_trade_dicts = []
if rt:
if rt == 'Buy':
if self.min_buy_B > 10**-self.amount_N:
this_trade_dicts.append({
'side':'buy',
'price':self.jys.Buy,
'amount':self.min_buy_B
})
else:
if self.min_sell_B > 10**-self.amount_N:
this_trade_dicts.append({
'side':'sell',
'price':self.jys.Sell,
'amount':self.min_sell_B
})
return this_trade_dicts
else:
return False
def main():
#获取配置的值
global price_precision
price_precision = json.loads(PRICE_PRECISION)
global amount_precision
amount_precision = json.loads(AMOUNT_PRECISION)
global hands
hands = json.loads(HANDS)
global can_buy_price
can_buy_price = json.loads(CAN_BUY_PRICE)
global can_sell_price
can_sell_price = json.loads(CAN_SELL_PRICE)
round = 1
while True:
Sleep(1000)
for i in range(len(exchanges)):
#定义交易中间件
test_mid = mid_class(exchanges[i])
currency = test_mid.jyd
#获取交易对的价格，数量精度
currency_precision = test_mid.get_precision(currency)
#生成策略类
test_qushi = qushi_class(test_mid , currency_precision[0], currency_precision[1])
#获取最新数据
result = test_qushi.refreash_data()
if result == True:
now_trade_dicts = test_qushi.make_trade_dicts(currency_precision[2])
if now_trade_dicts:
test_qushi.make_trade_by_dict(now_trade_dicts)
now_trade_dicts = False
#检查挂单情况
if round % 20 == 0:
Log('开始撤单')
Log(test_mid.account)
test_qushi.cancel_orders()
round = round + 1
घासकन्हैया ने एफएमजेड के लिए बहुत सारे उपयोगकर्ताओं को बढ़ावा दिया है।