#!/usr/bin/env python
# -*- coding: utf-8 -*-
from grs import Stock
from grs import TWSENo
import sys
sys.path.append('../')
from Trade import Trade
from KD import KD
from MA import MA
from DMI import DMI
from MACD import MACD
stock = Stock.createByCSV('2454', '../../data/2454_14MonData.csv')
trade = Trade(stock)
dmi = DMI(stock)
macd = MACD(stock)
print "MACD with adx >16:"
trade.MACD_DMI_1(macd, dmi)
trade.printTradeResult()
kd = KD(stock)
#print "Trade by perfect buy and perfect sell KD:"
#trade.KD_PerfectBuyPerfectSell(kd)
#trade.printTradeResult()
#print "Trade by perfect buy and normal sell KD:"
#trade.KD_PerfectBuyNormalSell(kd)
#trade.printTradeResult()
#print "Trade by normal buy and normal sell KD:"
#trade.KD_NormalBuyNormalSell(kd)
#trade.printTradeResult()
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from grs import Stock
import matplotlib.pyplot as plt
import sys
sys.path.append('../')
from MA import MA
stock = Stock.createByCSV('2330', '../../data/2330_14MonData.csv')
ma = MA(stock)
print "MA5=> len: " + str(len(ma.ma5))
print ma.ma5
print "MA10=> len: " + str(len(ma.ma10))
print ma.ma10
print "MA20=> len: " + str(len(ma.ma20))
print ma.ma20
print "MA5 diff MA10:" + str(len(ma.ma5diffma10))
ma.printMA5DiffMA10()
#print "Buy point short term:"
#ma.printBuyPoints_ST()
#print "MA5 gradient=> len: "+str(len(ma.ma5_gradient))
#ma.printMA5_gradient()
#plt.figure(1)
#plt.subplot(211)
#plt.plot(stock.price, 'r', ma.ma5, 'b', ma.ma10, 'yellow')
