Python fields 예제들

예제 #1

            MA5 = Stock(i, mons=2).moving_average(5)[0][-1]
            MA10 = Stock(i, mons=2).moving_average(10)[0][-1]
            MA20 = Stock(i, mons=2).moving_average(20)[0][-1]

            Bias5 = (close_price - MA5) / MA5 * 100

            Bias10 = (close_price - MA10) / MA10 * 100

            Bias20 = (close_price - MA20) / MA20 * 100

            turnover_ration = float(Stock(i).raw[-1][1] / 1000) / (
                float(rank_market_value()[i][3]) * 10000) * 100

            try:
                fileopen.write(Stock_no_name[i].encode("UTF-8")+"("+i+")"+"TWSE"+","+"成交張數"+str(int(Stock(i).raw[-1][1]/1000))+","+"殖利率" \
                         +str(fields()[i][2])+","+"收盤價"+str(close_price)+","+"週均線"+"%.1f"%Bias5+"%"+","+"雙週均價"+"%.1f"%Bias10+"%"\
              +","+"月均價"+"%.1f"%Bias20+"%"+","+"發行"+rank_market_value()[i][3]+"萬張"+","+"市值"+rank_market_value()[i][4]+"億"+","+"上市"    \
              +rank_market_value()[i][5]+"年"+","+rank_market_value()[i][6].encode("UTF-8")+","+"市值排名:"+rank_market_value()[i][0]+"/1548"+"," \
              +"周轉率"+"%.3f"%turnover_ration+"%"+","+"政府機構"+vip_other()[i][1]+"%"+"橋外投資"+vip_other()[i][2]+"%"+"本國金融"+vip_other()[i][3]+"%" \
              +"本國法人"+vip_other()[i][4]+"%"+"本國個人含董監"+vip_other()[i][5]+"%"+"董監持股"+vip_main()[i][2]+str(one_day)+"\n")
            except:
                pass

            index = index + 1
    except:  # 回傳為None 或 資料不足導致ValueError
        pass

#=====================
"""
j = 1
for i in stock_no_list:

예제 #2

파일: tomorrow_can_buy.py 프로젝트: mayaguess/Stock_Bot

           MA20 = Stock(i,mons=2).moving_average(20)[0][-1]

	   Bias5 = (close_price-MA5)/MA5*100

           Bias10 = (close_price-MA10)/MA10*100 

           Bias20 = (close_price-MA20)/MA20*100

           turnover_ration = float(Stock(i).raw[-1][1]/1000)/(float(rank_market_value()[i][3])*10000)*100 



           

           fileopen.write(str(index)+"."+Stock_no_name[i].encode("UTF-8")+"("+i+")"+"-"+"成交張數"+str(int(Stock(i).raw[-1][1]/1000))+"-"+"殖利率" \
           +str(fields()[i][2])+"-"+"收盤價"+str(close_price)+"-"+"週均線"+str(MA5)+"("+"%.1f"%Bias5+"%"+")"+"-"+"雙週均價"+str(MA10)+"("+"%.1f"%Bias10+"%"+")"\
+"-"+"月均價"+str(MA20)+"("+"%.1f"%Bias20+"%"+")"+"-"+"發行"+rank_market_value()[i][3]+"萬張"+"-"+"市值"+rank_market_value()[i][4]+"億"+"-"+"上市"    \
+rank_market_value()[i][5]+"年"+"-"+rank_market_value()[i][6].encode("UTF-8")+"-"+"市值排名:"+rank_market_value()[i][0]+"/1548"+"-" \
+"週轉率"+"("+"%.3f"%turnover_ration+"%"+")"+"-"+str(one_day)+"\n")


           index = index + 1 
    except:     # 回傳為None 或 資料不足導致ValueError
        pass

#=====================

fileopen.write('\n\n\n上櫃公司股票篩選'+"\n")

index = 1 
for i in OTC_no_list:

예제 #3

파일: tomorrow_can_buy-dev2.py 프로젝트: mayaguess/Stock_Bot

           MA20 = Stock(i,mons=2).moving_average(20)[0][-1]

	   Bias5 = (close_price-MA5)/MA5*100

           Bias10 = (close_price-MA10)/MA10*100 

           Bias20 = (close_price-MA20)/MA20*100

           turnover_ration = float(Stock(i).raw[-1][1]/1000)/(float(rank_market_value()[i][3])*10000)*100 



           
           try:
		fileopen.write(Stock_no_name[i].encode("UTF-8")+"("+i+")"+"TWSE"+","+"成交張數"+str(int(Stock(i).raw[-1][1]/1000))+","+"殖利率" \
           +str(fields()[i][2])+","+"收盤價"+str(close_price)+","+"週均線"+"%.1f"%Bias5+"%"+","+"雙週均價"+"%.1f"%Bias10+"%"\
+","+"月均價"+"%.1f"%Bias20+"%"+","+"發行"+rank_market_value()[i][3]+"萬張"+","+"市值"+rank_market_value()[i][4]+"億"+","+"上市"    \
+rank_market_value()[i][5]+"年"+","+rank_market_value()[i][6].encode("UTF-8")+","+"市值排名:"+rank_market_value()[i][0]+"/1548"+"," \
+"週轉率"+"%.3f"%turnover_ration+"%"+","+"政府機構"+vip_other()[i][1]+"%"+"橋外投資"+vip_other()[i][2]+"%"+"本國金融"+vip_other()[i][3]+"%" \
+"本國法人"+vip_other()[i][4]+"%"+"本國個人含董監"+vip_other()[i][5]+"%"+"董監持股"+vip_main()[i][2]+str(one_day)+"\n")
	   except:
		pass


           index = index + 1 
    except:     # 回傳為None 或 資料不足導致ValueError
        pass

#=====================

fileopen.write('\n\n\n上櫃公司股票篩選'+"\n")

예제 #4

파일: combine.py 프로젝트: distagon/Stock_Bot

for i in stock_no_list:
    #print i
    try:
        if BestFourPoint(Stock(i,mons=2)).y_v_t_r():
           print i,'123'         #暴量長紅2天
           try:
               if oneday()[i][1] == '':
	          one_day = "買賣現沖 "
               elif oneday()[i][1] =='Y':
                  one_day = "先買現沖"
               else:
                  one_day = ""
           except:
               one_day = "" #csv找不到該股票代碼,即不開放買賣現沖

           fileopen.write(str(index)+" "+"昨天暴量長紅(昨天量>前天量,昨天收盤價>昨天開盤價),今天又上漲1~2%,今日成交張數要大於1000張"+"-"+Stock_no_name[i].encode("UTF-8")+"-"+i+"-"+"成交張數"+"-"+str(int(Stock(i).raw[-1][1]/1000))+"-"+"殖益率"+str(fields()[i][2])+"-"+one_day+"\n")
           index = index + 1 
    except:     # 回傳為None 或 資料不足導致ValueError
        pass

#=====================
index = 1 
for i in OTC_no_list:
    #print i
    #print type(i)
    print i
    try:
        if BestFourPoint(Stock(i,mons=2)).y_v_t_r():
           print i,'123OTC'         #暴量長紅2天
           try:
               if oneday()[i][1] == '': 

예제 #5

파일: breakthrough_5_10_20.py 프로젝트: mayaguess/Stock_Bot

fileopen.write('上市公司股票篩選\n\n\n')


fileopen.write("\n"+"回測n天中,5與10與20日均線總和平均在m%盤整,今天暴nn倍的mm日均量"+"\n\n")

#=====================
index = 1 
for i in stock_no_list:
    #print i
    try:
        if BestFourPoint(Stock(i,mons=3)).breakthrough(20, 1, 1.5, 20):
            # n, m ,nn, mm
            # 回測天數, 盤整%數, 暴量nn倍, mm日均量
            # 回測n天中,5與10與20日均線總和平均在m%盤整,今天暴nn倍的mm日均量
           print i,'twse'         #暴量長紅2天

           fileopen.write(str(index)+" "+"-"+Stock_no_name[i].encode("UTF-8")+"-"+i+"-"+"殖益率"+str(fields()[i][2])+"\n")
           index = index + 1 
    except:     # 回傳為None 或 資料不足導致ValueError
        pass



fileopen.close()                #關閉檔案
 

예제 #6

            Bias5 = (close_price - MA5) / MA5 * 100

            Bias10 = (close_price - MA10) / MA10 * 100

            Bias20 = (close_price - MA20) / MA20 * 100

            turnover_ration = float(Stock(i).raw[-1][1] / 1000) / (
                float(rank_market_value()[i][3]) * 10000) * 100





            fileopen.write(str(index)+"."+Stock_no_name[i].encode("UTF-8")+"("+i+")"+"-"+"成交張數"+str(int(Stock(i).raw[-1][1]/1000))+"-"+"殖利率" \
            +str(fields()[i][2])+"-"+"收盤價"+str(close_price)+"-"+"週均線"+str(MA5)+"("+"%.1f"%Bias5+"%"+")"+"-"+"雙週均價"+str(MA10)+"("+"%.1f"%Bias10+"%"+")"\
 +"-"+"月均價"+str(MA20)+"("+"%.1f"%Bias20+"%"+")"+"-"+"發行"+rank_market_value()[i][3]+"萬張"+"-"+"市值"+rank_market_value()[i][4]+"億"+"-"+"上市"    \
 +rank_market_value()[i][5]+"年"+"-"+rank_market_value()[i][6].encode("UTF-8")+"-"+"市值排名:"+rank_market_value()[i][0]+"/1548"+"-" \
 +"週轉率"+"("+"%.3f"%turnover_ration+"%"+")"+"-"+str(one_day)+"\n")

            index = index + 1
    except:  # 回傳為None 或 資料不足導致ValueError
        pass

#=====================

fileopen.write('\n\n\n上櫃公司股票篩選' + "\n")

index = 1
for i in OTC_no_list:
    #print i

예제 #7

파일: breakthrough_5_10_20.py 프로젝트: showliu/Stock_Bot

fileopen = open(attachment, 'w')  #開啟檔案,w沒有該檔案就新增

f = open('/home/tim/GMAIL.txt', 'r')  #於前一個相對目錄中放置登入GMAIL帳號密碼,目的為了不再GitHub顯示出來.
ID = f.readline().strip('\n')  #不包含換行符號\n
PW = f.readline().strip('\n')

fileopen.write('上市公司股票篩選\n\n\n')

fileopen.write("\n" + "回測n天中,5與10與20日均線總和平均在m%盤整,今天暴nn倍的mm日均量" + "\n\n")

#=====================
index = 1
for i in stock_no_list:
    #print i
    try:
        if BestFourPoint(Stock(i, mons=3)).breakthrough(20, 1, 1.5, 20):
            # n, m ,nn, mm
            # 回測天數, 盤整%數, 暴量nn倍, mm日均量
            # 回測n天中,5與10與20日均線總和平均在m%盤整,今天暴nn倍的mm日均量
            print i, 'twse'  #暴量長紅2天

            fileopen.write(
                str(index) + " " + "-" + Stock_no_name[i].encode("UTF-8") +
                "-" + i + "-" + "殖益率" + str(fields()[i][2]) + "\n")
            index = index + 1
    except:  # 回傳為None 或 資料不足導致ValueError
        pass

fileopen.close()  #關閉檔案

예제 #8

파일: rt3.py 프로젝트: distagon/Stock_Bot

           try:
               if oneday()[i][1] == '':
                  one_day = "買賣現沖 "
               elif oneday()[i][1] =='Y':
                  one_day = "先買現沖"
               else:
                  one_day = ""
           except:
               one_day = "" #csv找不到該股票代碼,即不開放買賣現沖

#           fileopen.write(str(index)+" "+time_now+"-----目前該股累積成交量>週均量"+"-"+Stock_no_name[i].encode("UTF-8")+"-"+i+"-"+"成交張數"+"-"+str(int(Stock(i,mons=1).raw[-1][1]/1000))+"-"+"殖益率"+str(fields()[i][2])+"-"+one_day+"\n")

           fileopen.write('321')
           fileopen.write(i+"-"+Stock_no_name[i].encode("UTF-8")+"-"+"目前累積成交量"+","+        \
           str(float(realtime_data.data[i]['volume_acc'])/float(Stock(i,mons=3).moving_average_value(5)[0][-2]))+","+"倍週均量"+  \
        ","+ "成交張數"+"-"+str(realtime_data.data[i]['volume_acc'])+","+"殖益率"+str(fields()[i][2])+"-"+one_day+ \
        ","+str(float(realtime_data.data[i]['volume_acc'])/float(Stock(i,mons=3).moving_average_value(20)[0][-2]))+","+"倍月均量"+ \
                                                                                            "\n")
# str(int(Stock(i,mons=1).raw[-1][1]/1000))

           index = index + 1
    except:     # 回傳為None 或 資料不足導致ValueError
        pass


fileopen.close()                #關閉檔案

#realtime_data = RealtimeTWSE(1101)