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Uniform policy (python version)

Author: Inventors quantify - small dreams, Date: 2016-09-08 18:43:58
Tags: PythonMA

It's a simple, easy-to-understand, easy-to-follow, and easy-to-follow tutorial.


import types
def main():
    STATE_IDLE = -1
    state = STATE_IDLE
    initAccount = ext.GetAccount()
    while True:
        if state == STATE_IDLE :
            n = ext.Cross(FastPeriod,SlowPeriod) # 指标交叉函数
            if abs(n) >= EnterPeriod :
                opAmount = _N(initAccount.Stocks * PositionRatio,3)
                Dict = ext.Buy(opAmount) if n > 0 else ext.Sell(opAmount)
                if Dict :
                    opAmount = Dict['amount']
                    state = PD_LONG if n > 0 else PD_SHORT
                    Log("开仓详情",Dict,"交叉周期",n)
        else:
            n = ext.Cross(ExitFastPeriod,ExitSlowPeriod) # 指标交叉函数
            if abs(n) >= ExitPeriod and ((state == PD_LONG and n < 0) or (state == PD_SHORT and n > 0)) :
                nowAccount = ext.GetAccount()
                Dict2 = ext.Sell(nowAccount.Stocks - initAccount.Stocks) if state == PD_LONG else ext.Buy(initAccount.Stocks - nowAccount.Stocks)
                state = STATE_IDLE
                nowAccount = ext.GetAccount()
                LogProfit(nowAccount.Balance - initAccount.Balance,'钱:',nowAccount.Balance,'币:',nowAccount.Stocks,'平仓详情:',Dict2,'交叉周期:',n)
        Sleep(Interval * 1000)



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my1000wLine five, why do you use ext? What does that mean?

Inventors quantify - small dreamsThis is an export function of the template for the Python version of the digital currency trading library.