均线-趋势_数字货币策略V0.2

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Python

Cryptocurrency

Created: 2016-09-13 17:36:54

Last modified: 10 years ago

Copy: 638

太极

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@太极 QQ7650371
#均线/趋势策略
#通过判断在死叉下底后回弹多少买入
#在金叉上扬至顶后下降多少卖出

Source

Python

#!/usr/local/bin/python
#-*- coding: UTF-8 -*-
#均线/趋势  策略
#通过判断  在死叉下底后回弹多少买入
#在金叉上扬至顶后下降多少卖出


# FastPeriod=3 #开仓快线周期
# SlowPeriod=7 #开仓慢线周期
# EnterPeriod=1       #开仓观察期
# ExitFastPeriod=3 #平仓线周期
# ExitSlowPeriod=7 #平仓慢线周期

Strategy parameters

Related strategies

均线-趋势_数字货币策略V0.2

Comment

All comments (7)

恒茂煊

运行报错Traceback (most recent call last): File "<string>", line 967, in init_ctx File "<string>", line 63 except Exception,ex: ^ SyntaxError: invalid syntax

6 years ago

素还真

我改了下，每次都以市价抛出买入，跑了几次没哟报错，但是每次都是亏的。。。

8 years ago

素还真

#!/usr/local/bin/python
#-- coding: UTF-8 --

均线/趋势策略

通过判断在死叉下底后回弹多少买入

在金叉上扬至顶后下降多少卖出

FastPeriod=3 #开仓快线周期

SlowPeriod=7 #开仓慢线周期

EnterPeriod=1 #开仓观察期

ExitFastPeriod=3 #平仓线周期

ExitSlowPeriod=7 #平仓慢线周期

ExitPeriod=2 #平仓观察期

PositionRatio=0.5 #仓位比例

Interval=10 #轮询周期

MAType=0 #均线类型 TA.EMA|TA.MA

array = [TA.EMA, TA.MA]
_MACalcMethod = array[MAType]
ext = exchange

def Cross(a, b): # 计算均线方法
crossNum = 0
arr1 = []
arr2 = []
listType = type(arr1)
intType = type(1)
floatType = type(1.1)
if(type(a) == type(arr1) and type(b) == type(arr2)):
arr1 = a
arr2 = b
else:
records = null
while True:
records = exchange.GetRecords()
if(records and len(records) > a and len(records) > b):
break
Sleep(Interval)
arr1 = _MACalcMethod(records, a)
arr2 = _MACalcMethod(records, b)
if(len(arr1) != len(arr2)):
raise Exception("array length not equal")
for i in range(len(arr1) - 1, -1, -1):
if((type(arr1[i]) != intType and type(arr1[i]) != floatType) or (type(arr2[i]) != intType and type(arr2[i]) != floatType)):
break
if(arr1[i] < arr2[i]):
if(crossNum > 0):
break
crossNum -= 1
elif(arr1[i] > arr2[i]):
if(crossNum < 0):
break
crossNum += 1
else:
break
return crossNum

import datetime

def Caltime(date1, date2):
try:
date1 = time.strptime(date1, "%Y-%m-%d %H:%M:%S")
date2 = time.strptime(date2, "%Y-%m-%d %H:%M:%S")
date1 = datetime.datetime(date1[0], date1[1], date1[
2], date1[3], date1[4], date1[5])
date2 = datetime.datetime(date2[0], date2[1], date2[
2], date2[3], date2[4], date2[5])
return date2 - date1
except Exception as ex:
Log('except Exception Caltime:', ex)
return "except Exception"

import time
start_timexx = time.localtime(time.time()) # time.clock()
start_time = time.strftime("%Y-%m-%d %H:%M:%S", start_timexx)
buy_price = 0 # 买入价格
buy_qty = 0 # 买入数量
gains = 0 # 盈利

def my_buy(): # 开仓
try:
global buy_price, buy_qty
initAccount = ext.GetAccount() # 交易模板的导出函数，获得账户状态，保存策略运行前账户初始状态
opAmount = 1
# 开仓之前判断有币没有没有先进行买入
if int(initAccount.Stocks) > 1:
if buy_price < 1:
buy_price = _C(exchange.GetTicker).Last
buy_qty = initAccount.Stocks
Log('开仓信息1 仓内还有比:', initAccount.Stocks,
'进行清空', '--开仓详情:', initAccount)
return 1
if int(initAccount.Stocks) < 1:
if int(float(str(initAccount.Stocks).replace('0.', ''))) >= 1:
if buy_price < 1:
buy_price = _C(exchange.GetTicker).Last
buy_qty = initAccount.Stocks
Log('开仓信息2 仓内还有比:', initAccount.Stocks,
'进行清空', '--开仓详情:', initAccount)
return 1

# if int(initAccount.Stocks)<1:
if int(float(str(initAccount.Stocks).replace('0.', ''))) == 0:
# opAmount=1
opAmount = _N(initAccount.Balance * PositionRatio, 3) # 买入数量
Log("开仓没有币先进行开仓买入%s元" % (str(opAmount))) # 生成LOG日志
# else:
# opAmount = _N(initAccount.Stocks * PositionRatio,3) #获取交易数量
# else:
# opAmount = _N(initAccount.Stocks * PositionRatio,3) #获取交易数量
orderId = ext.Buy(-1,opAmount) # 买入ext.Buy -1代表市价
if(orderId): # 确认开仓成功
# 买入价格 #{'price': 4046.446, 'amount': 1.5}
Dict = exchange.GetOrder(orderId)
buy_price = Dict['Price']
buy_qty = Dict['Amount'] # 买入数量
print_log(1, initAccount, Dict)
return 1
return 0
except Exception as ex:
Log('except Exception my_buy:',ex)
return 0

outAccount = ext.GetAccount() # 初始化信息

def print_log(k_p, Account, Dict):
try:
global outAccount
name = ""
if k_p:
LogProfit(_N(gains, 4), '开仓信息钱:', Account.Balance,
'--币:', Account.Stocks, '--开仓详情:', Dict)
name = "开仓"
else:
LogProfit(_N(gains, 4), '平仓信息钱:', Account.Balance,
'--币:', Account.Stocks, '--平仓详情:', Dict)
name = "平仓"
endAccount = ext.GetAccount() # 初始化信息
date1 = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(time.time()))
LogStatus("初始化投入2016/9/16 投入资金2000元\r\n",
"本次初始化状态:", outAccount,
"\r\n当前运行状态:", endAccount,
"\r\n本次开始运行时间:%s 已运行:%s\r\n" % (
start_time, Caltime(start_time, date1)),
"本次盈利:%s\r\n" % (str(gains)),
"当前状态:%s--钱:%s--币:%s\r\n" % (str(name),
str(Account.Balance), str(Account.Stocks)),
"更新时间:%s" % (date1)
) # 测试
except Exception as ex:
Log('except Exception print_log:', ex)

def my_sell(): # 平仓
try:
global buy_price, buy_qty, gains, start_time
nowAccount = ext.GetAccount() # 交易模板的导出函数获取账户信息
if _C(exchange.GetTicker).Last > buy_price + 4: # 当前价格一定要大于开仓价格
Log(type(nowAccount.Stocks), nowAccount.Stocks)
orderId = ext.Sell(-1,nowAccount.Stocks) #-1代表市价
if(orderId):
Log(type(orderId))
Dict = ext.GetOrder(orderId)
sell_gains = (Dict['Price'] - buy_price) * Dict['Amount']
gains = gains + sell_gains
buy_price = 0 # 买入价格
buy_qty = 0 # 买入数量
print_log(0, nowAccount, Dict)
return 1
return 0
except Exception as ex:
Log('except Exception my_sell:',ex)
return 0

def main():
global outAccount
STATE_IDLE = -1 # 空闲状态
state = STATE_IDLE # 初始化状态为空闲

Log("run ", outAccount) # 输出初始账户信息
SetErrorFilter("GetAccount|GetRecords|GetTicker") # 屏蔽错误内容

b = 0 # 开仓
b1 = 0 # 检测次数
a = 0 # 平仓
a1 = 0 # 检测次数
while True:
if(state == STATE_IDLE): # 判断状态是否为空闲触发开仓
# 开仓
n = Cross(FastPeriod, SlowPeriod) # 模板函数获取EMA指标快线、慢线交叉结果
if n < 0: # 确定当前为死叉
b1 += 1
if b >= int(n): # 说明现在还是在下跌涨趋势
b = int(n)
else: # 开始下跌开仓
if(int(n) >= int(b) + int(EnterPeriod)): # 确认上行走势至自己定义的点
if my_buy(): # 开仓
b = 0
b1 = 0
state = PD_SHORT
# if(b1>=10):#小波动操作开仓
# b1=0
# if my_buy():
# b=0
# state = PD_SHORT
else: # 平仓
n = Cross(ExitFastPeriod, ExitSlowPeriod) # 模板函数获取EMA指标快线、慢线交叉结果
if n > 0: # 确定当前为金叉
a1 += 1
if a <= int(n): # 说明现在还是在上涨趋势
a = int(n)
else: # 开始下跌平仓
if(int(n) <= int(a) - int(ExitPeriod)): # 确认下行走势至自己定义的点
if my_sell(): # 平仓
a = 0
a1 = 0
state = STATE_IDLE # 更改状态为空闲触发开仓
# if(a1>=10): #小波动操作平仓
# a1=0
# if my_sell():
# a=0
# state = STATE_IDLE #更改状态为空闲触发开仓
Sleep(Interval * 1000)

8 years ago

素还真

#!/usr/local/bin/python
#-- coding: UTF-8 --

均线/趋势策略

通过判断在死叉下底后回弹多少买入

在金叉上扬至顶后下降多少卖出

FastPeriod=3 #开仓快线周期

SlowPeriod=7 #开仓慢线周期

EnterPeriod=1 #开仓观察期

ExitFastPeriod=3 #平仓线周期

ExitSlowPeriod=7 #平仓慢线周期

ExitPeriod=2 #平仓观察期

PositionRatio=0.5 #仓位比例

Interval=10 #轮询周期

MAType=0 #均线类型 TA.EMA|TA.MA

array = [TA.EMA, TA.MA]
_MACalcMethod = array[MAType]
ext = exchange

import datetime

outAccount = ext.GetAccount() # 初始化信息

def main():
global outAccount
STATE_IDLE = -1 # 空闲状态
state = STATE_IDLE # 初始化状态为空闲

Log("run ", outAccount) # 输出初始账户信息
SetErrorFilter("GetAccount|GetRecords|GetTicker") # 屏蔽错误内容

8 years ago

ddbo2015

except Exception my_sell: ooOooo000oOO instance has no attribute 'GetMinStock'
请教一下，一直提示这个是什么意思啊？

8 years ago

17707250703

还是很不错的，不过现在用不了

8 years ago

太极

均线_趋势_策略交易_1高清
http://v.youku.com/v_show/id_XMTczMTAxMjQ5Ng==.html
均线_趋势_策略交易_高清2
http://v.youku.com/v_show/id_XMTczMDk4MTEwMA==.html

10 years ago

1
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均线-趋势_数字货币策略V0.2

均线/趋势 策略

通过判断 在死叉下底后回弹多少买入

在金叉上扬至顶后下降多少卖出

FastPeriod=3 #开仓快线周期

SlowPeriod=7 #开仓慢线周期

EnterPeriod=1 #开仓观察期

ExitFastPeriod=3 #平仓线周期

ExitSlowPeriod=7 #平仓慢线周期

ExitPeriod=2 #平仓观察期

PositionRatio=0.5 #仓位比例

Interval=10 #轮询周期

MAType=0 #均线类型 TA.EMA|TA.MA

均线/趋势 策略

通过判断 在死叉下底后回弹多少买入

在金叉上扬至顶后下降多少卖出

FastPeriod=3 #开仓快线周期

SlowPeriod=7 #开仓慢线周期

EnterPeriod=1 #开仓观察期

ExitFastPeriod=3 #平仓线周期

ExitSlowPeriod=7 #平仓慢线周期

ExitPeriod=2 #平仓观察期

PositionRatio=0.5 #仓位比例

Interval=10 #轮询周期

MAType=0 #均线类型 TA.EMA|TA.MA

均线/趋势策略

通过判断在死叉下底后回弹多少买入

均线/趋势策略

通过判断在死叉下底后回弹多少买入