20230913

.idea/encodings.xml

 <?xml version="1.0" encoding="UTF-8"?>
 <project version="4">
   <component name="Encoding">
+    <file url="file://$PROJECT_DIR$/10日未涨停回封/2022-202307/2022-1-6月-10日未涨停(000)股本首笔大单大于700w-b1-8%type第一个为B炸板率.csv" charset="GBK" />
+    <file url="file://$PROJECT_DIR$/10日未涨停回封/2022-202307/2022-202307未涨停(000)股本首笔大单大于700w-b1-8%type第一个为B(振幅).csv" charset="GBK" />
+    <file url="file://$PROJECT_DIR$/10日未涨停回封/2022-202307/2022-202307未涨停(000)股本首笔大单大于700w-b1-8%type第一个为B炸板率.csv" charset="GBK" />
+    <file url="file://$PROJECT_DIR$/10日未涨停回封/2022-202307/2022-7-12月-10日未涨停(000)股本首笔大单大于700w-b1-8%type第一个为B炸板率.csv" charset="GBK" />
     <file url="file://$PROJECT_DIR$/10日未涨停回封/2022-202307/202201-202307月-10日未涨停(000)股本首笔大单大于700w-b1-8%type第一个为B小于1600w炸板率.csv" charset="GBK" />
     <file url="file://$PROJECT_DIR$/10日未涨停回封/2022-202307/2022未涨停(000)股本首笔大单大于700w-b1-8%type第一个为B炸板率(振幅).csv" charset="GBK" />
     <file url="file://$PROJECT_DIR$/10日未涨停回封/2022-202307/2022未涨停(000)股本首笔大单大于700w-b1-8%type第一个为B炸板率.csv" charset="GBK" />
@@ -28,6 +32,7 @@
     <file url="file://$PROJECT_DIR$/2023-09-04-000.csv" charset="GBK" />
     <file url="file://$PROJECT_DIR$/2023-09-04-600.csv" charset="GBK" />
     <file url="file://$PROJECT_DIR$/2023-09-07炸板率.csv" charset="GBK" />
+    <file url="file://$PROJECT_DIR$/2023-09-13炸板率.csv" charset="GBK" />
     <file url="file://$PROJECT_DIR$/2板新高/2023-000-45日未涨停2板.csv" charset="GBK" />
     <file url="file://$PROJECT_DIR$/300-600/300-600.csv" charset="GBK" />
     <file url="file://$PROJECT_DIR$/300/2022-10日未涨停(300)首笔大单大于700w-b1-8%type第一个为B炸板率(振幅).csv" charset="GBK" />

000黑名单.csv

-代码
-SZ002298
-SZ002134
-SZ000670
-SZ000532
-SZ002406
-SZ002712
-SZ002945
-SH600152
-SZ002902
-SZ002009
-SZ000666
+代码,名称
+SZ002298,中电兴发
+SZ002134,天津普林
+SZ000670,盈方微
+SZ000532,华金资本
+SZ002406,远东传动
+SZ002712,思美传媒
+SZ002945,华林证券
+SH600152,维科技术
+SZ002902,铭普光磁
+SZ002009,天奇股份
+SZ000666,经纬纺机
+SH603326,我乐家居
+SZ002559,亚威股份
+SZ002636,金安国际
+SZ000019,深粮控股
+SZ002213,大为股份
+SZ000065,北方国际
+SZ000026,飞亚达
+SZ002045,国光电气
+SZ002389,航天彩虹
+SZ002155,湖南黄金
+SZ002329,皇氏集团
+SZ002612,朗姿股份
+SZ002997 ,瑞鹄模具
+SZ002469,三维化学
+SZ002748,世龙实业
+SZ000070,特发信息
+SZ002291,遥望科技
+SZ002458,益生股份
+SZ002126,银轮股份
+SZ002182,云海金属
+SZ002452 ,长高电新
+SZ002201,正威新材
+SZ002169 ,智光电气
+SZ000928,中钢国际
+SZ002057 ,中钢天源
+SZ003026 ,中晶科技
+SZ002883,中设股份
+SZ002915,中欣氟材
+SZ002166,莱茵生物

10日未涨停回封/2022-202307/2022-202307未涨停(000)股本首笔大单大于700w-b1-8%type第一个为B炸板率-1.csv

+代码,名称,日期,昨日收盘价,开盘价,最低价,最高价涨幅,成交量,成交额,换手率,买入价格,卖出价格,盈利,涨幅,流通市值,涨停trainID,涨停BuyOrderID,涨停vol,涨停amount,大单ID,时间,炸板率,涨停次数,炸板次数,炸板幅度,涨停次日溢价率,次日总溢价率,最近3次触板溢价,一年最高价跌幅,半年最高价跌幅
+SZ002189,中光学,2022/5/31 0:00,15.2359,15.4459,15.0959,0.101733406,10999798,165600528,0.049406504000000004,16.7859,17.5259,85229.35823,0.04268461900000001,39.79397348,11510,11510,1600,10587024.0,19804,10:35:11,0.4,3,2,-0.037636548517421875,0.014453600498880967,-0.00638245910764017,-0.015125592465033125,0.6224857921465605,0.6224857921465605
+SZ002189,中光学,2022/6/1 0:00,16.7859,17.5259,16.2459,0.101275475,20061562,329084416,0.09010816699999999,18.4859,15.0859,-369896.6081,-0.18532396399999998,43.84234994,9949,9890,281000,9355000.0,9619,9:32:59,0.3333333333333333,4,2,-0.037636548517421875,0.013936009286007078,-0.003254843315135906,-0.0010102891501618434,0.6858133919488151,0.6858133919488151
+SZ002189,中光学,2022/8/18 0:00,16.67,16.6,16.27,0.10017996400000001,9058795,149888960,0.03468713,18.34,18.0,-39814.212,-0.019938713,43.53963585,13734,9203540,218000,18156600.0,15306,13:30:20,0.5714285714285714,3,4,-0.0893786957602363,0.028321391308463822,-0.038935801302221976,-0.07985235578927992,0.6810781217442464,0.837440155933668
+SZ002189,中光学,2022/10/17 0:00,13.88,13.85,13.73,0.10014409199999999,1986325,27469126,0.007605859,15.27,15.6,40346.7834,0.020211002,36.25255823,28386990,28386940,999900,15268473.0,28386941,14:32:41,0.625,3,5,-0.0754906992472294,0.028321391308463822,-0.036561165288844455,-0.10072679973376775,0.5670884421001884,0.7136246786632391
+SZ002189,中光学,2023/3/6 0:00,17.17,17.17,17.16,0.10017472300000001,8427996,144293936,0.032268229,18.89,18.53,-40840.2812,-0.020457702,44.84556374,17319,8835490,800,8689400.0,16456,9:59:08,0.5,4,4,-0.09156421329552628,0.02254750578151693,-0.03450835375700467,-0.009651428380127077,0.882776349614396,0.9695087521174478

10日未涨停回封/2022-202307/振幅.py

@@ -8,14 +8,14 @@ import pandas as pd
 root='/Users/yumingwu/Downloads/Stk_Day_QFQ/'
 path =os.listdir(root)
 
-data = pd.read_csv('./2023未涨停(000)股本首笔大单大于700w-b1-8%type第一个为B炸板率.csv',encoding='gbk')
+data = pd.read_csv('./2022-202307未涨停(000)股本首笔大单大于700w-b1-8%type第一个为B炸板率.csv',encoding='gbk')
 
-file000 = open('./2023未涨停(000)股本首笔大单大于700w-b1-8%type第一个为B(振幅).csv','w',encoding='gbk',newline='')
+file000 = open('./2022-202307未涨停(000)股本首笔大单大于700w-b1-8%type第一个为B(振幅)3.csv','w',encoding='gbk',newline='')
 writer000 = csv.writer(file000)
 writer000.writerow(
     ['代码', '名称', '日期', '昨日收盘价', '开盘价', '最低价', '最高价涨幅', '成交量', '成交额', '换手率', '买入价格',
      '卖出价格', '盈利', '涨幅', '流通市值', '涨停trainID', '涨停BuyOrderID', '涨停vol', '涨停amount','大单ID',
-     '时间','炸板率','涨停次数','炸板次数','炸板幅度','第二天溢价率','振幅','昨日振幅','10日涨幅'])
+     '时间','炸板率','涨停次数','炸板次数','炸板幅度','涨停次日溢价率','次日总溢价率','最近3次触板溢价','一年最高价跌幅','半年最高价跌幅','一日最高价跌幅','三日最高价跌幅','6日最高价跌幅','9日最高价跌幅','12日最高价跌幅','一个月最高价跌幅','3个月最高价跌幅','9个月最高价跌幅','1个月最低价涨幅','3个月最低价涨幅','半年最低价涨幅','9个月最低价涨幅','一年最低价涨幅','振幅','昨日振幅','10日涨幅'])
 for index,item in data.iterrows():
     day = item['日期']
     day =pd.to_datetime(day)
@@ -54,7 +54,24 @@ for index,item in data.iterrows():
          item['涨停次数'],
          item['炸板次数'],
          item['炸板幅度'],
-         item['第二天溢价率'],
+         item['涨停次日溢价率'],
+         item['次日总溢价率'],
+         item['最近3次触板溢价'],
+         item['一年最高价跌幅'],
+         item['半年最高价跌幅'],
+         item['一日最高价跌幅'],
+         item['三日最高价跌幅'],
+         item['6日最高价跌幅'],
+         item['9日最高价跌幅'],
+         item['12日最高价跌幅'],
+         item['一个月最高价跌幅'],
+         item['3个月最高价跌幅'],
+         item['9个月最高价跌幅'],
+         item['1个月最低价涨幅'],
+         item['3个月最低价涨幅'],
+         item['半年最低价涨幅'],
+         item['9个月最低价涨幅'],
+         item['一年最低价涨幅'],
          (codeData0['最高价']-codeData0['最低价'])/codeData1['收盘价'],
          (codeData0['最高价'] - codeData0['最低价']) / codeData0['收盘价'],
          min

10日未涨停回封/2022-202307/炸板率1.py

@@ -8,30 +8,72 @@ import pandas as pd
 root='/Users/yumingwu/Downloads/Stk_Day_QFQ/'
 path =os.listdir(root)
 
-data = pd.read_csv('./2023未涨停(000)股本首笔大单大于700w-b1-8%type第一个为B-1.csv',encoding='gbk')
+data = pd.read_csv('./2022未涨停(000)股本首笔大单大于700w-b1-8%type第一个为B炸板率(振幅).csv',encoding='utf-8')
 
-file000 = open('./2023未涨停(000)股本首笔大单大于700w-b1-8%type第一个为B炸板率.csv','w',encoding='gbk',newline='')
+file000 = open('./2022-202307未涨停(000)股本首笔大单大于700w-b1-8%type第一个为B炸板率.csv','w',encoding='gbk',newline='')
 writer000 = csv.writer(file000)
 writer000.writerow(
     ['代码', '名称', '日期', '昨日收盘价', '开盘价', '最低价', '最高价涨幅', '成交量', '成交额', '换手率', '买入价格',
      '卖出价格', '盈利', '涨幅', '流通市值', '涨停trainID', '涨停BuyOrderID', '涨停vol', '涨停amount', '大单ID',
-     '时间','炸板率','涨停次数','炸板次数','炸板幅度','第二天溢价率'])
+     '时间','炸板率','涨停次数','炸板次数','炸板幅度','涨停次日溢价率','次日总溢价率','最近3次触板溢价','一年最高价跌幅','半年最高价跌幅','一日最高价跌幅','三日最高价跌幅','6日最高价跌幅','9日最高价跌幅','12日最高价跌幅','一个月最高价跌幅','3个月最高价跌幅','9个月最高价跌幅',
+     '1个月最低价涨幅','3个月最低价涨幅','半年最低价涨幅','9个月最低价涨幅','一年最低价涨幅'])
 for index,item in data.iterrows():
     day = item['日期']
     day =pd.to_datetime(day)
     code= item['代码']+'.csv'
 
+
+
     codeData=pd.read_csv(root+code,encoding='gbk')
     codeData['时间'] = pd.to_datetime(codeData['时间'])
     codeData =codeData[codeData['时间']<day]
     day1=day-pd.offsets.DateOffset(years=1)
     codeData = codeData[codeData['时间'] >= day1]
+    day2 = day - pd.offsets.DateOffset(months=6)
+    day1_month = day - pd.offsets.DateOffset(months=1)
+    day3_month = day - pd.offsets.DateOffset(months=3)
+    day9_month = day - pd.offsets.DateOffset(months=9)
+    codeData_6_month = codeData[codeData['时间'] >= day2]
+
+    codeData_1_month = codeData[codeData['时间'] >= day1_month]
+    codeData_3_month = codeData[codeData['时间'] >= day3_month]
+    codeData_9_month = codeData[codeData['时间'] >= day9_month]
+
+    codeData1 = codeData[len(codeData)-1:len(codeData)]
+    codeData3= codeData[len(codeData) - 3:len(codeData)]
+    codeData6 = codeData[len(codeData) - 6:len(codeData)]
+    codeData9 = codeData[len(codeData) - 9:len(codeData)]
+    codeData12 = codeData[len(codeData) - 12:len(codeData)]
+    item_y=codeData.iloc[-1]
+    rate_year = item_y['收盘价']/codeData['最高价'].max()
+    rate_year_min = item_y['收盘价'] / codeData['最低价'].min()
+    rate_6_month = item_y['收盘价'] / codeData_6_month['最高价'].max()
+    rate_6_month_min = item_y['收盘价'] / codeData_6_month['最低价'].min()
+
+
+    rate_1_month = item_y['收盘价'] / codeData_1_month['最高价'].max()
+    rate_1_month_min = item_y['收盘价'] / codeData_1_month['最低价'].min()
+    rate_3_month = item_y['收盘价'] / codeData_3_month['最高价'].max()
+    rate_3_month_min = item_y['收盘价'] / codeData_3_month['最低价'].min()
+
+
+    rate_9_month = item_y['收盘价'] / codeData_9_month['最高价'].max()
+    rate_9_month_min = item_y['收盘价'] / codeData_9_month['最低价'].min()
+
+
+    rate_1 = item_y['收盘价'] / codeData1['最高价'].max()
+    rate_3= item_y['收盘价'] / codeData3['最高价'].max()
+    rate_6 = item_y['收盘价'] / codeData6['最高价'].max()
+    rate_9 = item_y['收盘价'] / codeData9['最高价'].max()
+    rate_12 = item_y['收盘价'] / codeData12['最高价'].max()
 
 
     zhangtingTime=0
     zhaBanTime=0
     zhaBanTimefudu=0
     zhangtingyijia=0
+    zhangtingyijiazong = 0
+    arr3 = []
     for i in np.arange(len(codeData)):
         if i==0:
             continue
@@ -40,13 +82,18 @@ for index,item in data.iterrows():
         item0 = codeData.iloc[i-1]
         item1 = codeData.iloc[i]
         item2 = codeData.iloc[i+1]
+
         if item1['最高价']/item0['收盘价']>1.098:
+            zhangtingyijiazong = zhangtingyijiazong + item2['开盘价'] / item1['最高价'] - 1.0014
+            arr3.append(item2['开盘价'] / item1['最高价'] - 1.0014)
             if item1['最高价']==item1['收盘价']:
                 zhangtingTime=zhangtingTime+1
-                zhangtingyijia=zhangtingyijia+item2['开盘价']/item1['最高价']-1.0014
+                zhangtingyijia = zhangtingyijia + item2['开盘价'] / item1['最高价'] - 1.0014
+
+
             else:
                 zhaBanTime=zhaBanTime+1
-                zhaBanTimefudu=zhaBanTimefudu+(item1['收盘价']/item1['最高价']-1)
+                zhaBanTimefudu=zhaBanTimefudu+(item2['开盘价']/item1['最高价']-1.0014)
 
     rate =0
     if zhangtingTime>0 or zhaBanTime>0:
@@ -57,6 +104,14 @@ for index,item in data.iterrows():
         zhaBanTimefudu=zhaBanTimefudu/zhaBanTime
     if zhangtingTime!=0:
         zhangtingyijia=zhangtingyijia/zhangtingTime
+    if (zhangtingTime +zhaBanTime)!= 0:
+        zhangtingyijiazong = zhangtingyijiazong / (zhangtingTime+zhaBanTime)
+
+    rate3=-100
+    if len(arr3)>=3:
+        arr3 = arr3[len(arr3)-3:len(arr3)]
+        rate3 = (arr3[0]+arr3[1]+arr3[2])/3
+
 
     writer000.writerow(
         [item['代码'],
@@ -84,5 +139,24 @@ for index,item in data.iterrows():
          zhangtingTime,
          zhaBanTime,
          zhaBanTimefudu,
-         zhangtingyijia
+         zhangtingyijia,
+         zhangtingyijiazong,
+         rate3,
+         rate_year,
+         rate_6_month,
+         rate_1,
+         rate_3,
+         rate_6,
+         rate_9,
+         rate_12,
+         rate_1_month,
+         rate_3_month,
+         rate_9_month,
+         rate_1_month_min,
+         rate_3_month_min,
+         rate_6_month_min,
+         rate_9_month_min,
+         rate_year_min
+
+
          ])

main振幅(开盘).py

@@ -16,7 +16,7 @@ path =os.listdir(root)
 path.sort()
 
 day=time.strftime("%Y-%m-%d",time.localtime())
-day_y='20230906'
+day_y='20230912'
 amount=1500000
 amountN=1500000
 amount600N=500000
@@ -41,11 +41,11 @@ zhaBanData= pd.read_csv('./'+day+'炸板率.csv',encoding='gbk')
 file000 = open('./'+day+'-000-7.csv','w',encoding='gbk',newline='')
 writer000 = csv.writer(file000)
 writer000.writerow(
-    ['代码', '日期', '成交量', '成交额', '换手率', '金额', 'N', '10日涨幅', '流通市值', '昨日是否有日K', '是否触板'])
+    ['代码', '日期', '成交量', '成交额', '换手率', '金额', 'N', '10日涨幅', '流通市值', '昨日是否有日K', '是否触板','G'])
 
 with open('./'+day+'-000.csv','w',encoding='gbk',newline='') as csfile:
     writer =csv.writer(csfile)
-    writer.writerow(['代码','日期','成交量','成交额','换手率','金额','N','10日涨幅','流通市值','昨日是否有日K','是否触板'])
+    writer.writerow(['代码','日期','成交量','成交额','换手率','金额','N','10日涨幅','流通市值','昨日是否有日K','是否触板','G'])
     guben = pd.read_excel('/Users/yumingwu/Desktop/流通A股/A股列表.xlsx')
     for spath in path:
         # 过滤000
@@ -116,7 +116,8 @@ with open('./'+day+'-000.csv','w',encoding='gbk',newline='') as csfile:
                              zhangfu,
                              shizhi,
                              Rk,
-                             chuban
+                             chuban,
+                             0
                              ])
             if price > 7:
                 writer000.writerow([item['代码'],
@@ -129,7 +130,8 @@ with open('./'+day+'-000.csv','w',encoding='gbk',newline='') as csfile:
                                     zhangfu,
                                     shizhi,
                                     Rk,
-                                    chuban
+                                    chuban,
+                                    0
                                     ])
         else:
             zhaBanDataitem = zhaBanData[zhaBanData['代码'] == spath[0:8]]
@@ -157,9 +159,13 @@ with open('./'+day+'-000.csv','w',encoding='gbk',newline='') as csfile:
                 continue
             if item['最高价'] == item['最低价']:
                 continue
+            if zhaBanDataitem['半年最高价跌幅'] <=0.5:
+                continue
 
+            G=0
             if min >= 0.3:
                 NUM = NUM + 1
+                G=1
                 continue
 
             writer.writerow([item['代码'],
@@ -172,7 +178,8 @@ with open('./'+day+'-000.csv','w',encoding='gbk',newline='') as csfile:
                              zhangfu,
                              shizhi,
                              Rk,
-                             chuban
+                             chuban,
+                             G
                              ])
 
             if price > 7:
@@ -186,7 +193,8 @@ with open('./'+day+'-000.csv','w',encoding='gbk',newline='') as csfile:
                                     zhangfu,
                                     shizhi,
                                     Rk,
-                                    chuban
+                                    chuban,
+                                    G
                                     ])
 
 
@@ -216,7 +224,7 @@ with open('./'+day+'-600.csv','w',encoding='gbk',newline='') as csfile:
         if len(blackList000Item) > 0:
             continue
         data = pd.read_csv(root + spath, encoding='gbk')
-
+        data['时间'] = pd.to_datetime(data['时间'])
 
         if (len(data) < 10):
             continue

炸板率.py

@@ -15,7 +15,7 @@ guben1 = pd.read_excel('./流通股本.xlsx')
 guben1['变更日期'] = pd.to_datetime(guben1['变更日期'])
 writer000 = csv.writer(file000)
 writer000.writerow(
-    ['代码', '日期','炸板率','涨停次数','炸板次数','触板次数','炸板幅度','第二天溢价率','流通市值','振幅'])
+    ['代码', '日期','炸板率','涨停次数','炸板次数','触板次数','炸板幅度','第二天溢价率','流通市值','振幅','半年最高价跌幅'])
 for spath in path:
     # 过滤000
     if spath.find("SZ0") == -1 and spath.find("SH60") == -1 and spath.find("SZ30") == -1:
@@ -45,8 +45,9 @@ for spath in path:
 
 
     day1 = day - pd.offsets.DateOffset(years=1)
+    day2 = day - pd.offsets.DateOffset(months=6)
     codeData = data[data['时间'] >= day1]
-
+    codeData_6_month = data[data['时间'] >= day2]
     zhangtingTime = 0
     zhaBanTime = 0
     zhaBanTimefudu = 0
@@ -76,6 +77,7 @@ for spath in path:
     if zhangtingTime != 0:
         zhangtingyijia = zhangtingyijia / zhangtingTime
 
+    rate_6_month =item['收盘价']/codeData_6_month['最高价'].max()
     writer000.writerow(
         [item['代码'],
 
@@ -87,7 +89,8 @@ for spath in path:
          zhaBanTimefudu,
          zhangtingyijia,
          shizhi,
-         (item['最高价'] - item['最低价']) / itemz['收盘价']
+         (item['最高价'] - item['最低价']) / itemz['收盘价'],
+         rate_6_month
 
          ])