上一篇前40名分點出來,覺得怪怪的,我所熟知的很強的隔日沖分點排名很後面
隔日沖很大一個特色是鎖漲停
所以我們改一下定義
加上股價的資訊
with MongoDatabase('stock_day') as conn:
stock = conn.export_df({'date':{'$gte':'2018-06-15'},'成交股數':{'$gte':300}},{'date':1,'name':1,'code':1,"開盤價":1,"最高價":1,"最低價":1,"收盤價":1,"成交筆數":1 })
with MongoDatabase('broker_info') as conn:
data = conn.export_df({'$or':[{'差額張數':{'$gte':150}},{'差額張數':{'$lte':-150}}]})
data1=pd.merge(data,stock[['code', 'date', '開盤價', '最高價', '最低價', '收盤價', '成交筆數']],on=['date','code'])
rolling跟一般的apply不一樣,只能有一個變數做窗口,網路上有高手
用了很有創意的想法
加上買的當天要接近漲停(9%以上)才是隔日沖
def next_day_sell(ii,d):
d = d.iloc[int(min(ii)):int(max(ii))+1]
if d.iloc[0]['差額張數']>0:
if d.iloc[1]['差額張數']<0 and abs(d.iloc[1]['差額張數'])/d.iloc[0]['差額張數']>=0.6 and d.iloc[0]['最高價']>d.iloc[0]['開盤價']*1.09:
return 1
return 0
return 0
from collections import defaultdict
ndd = defaultdict(int)
ncd = defaultdict(int)
for r in data1.groupby(['分點代號','code'])[['date','差額張數','最高價','開盤價']]:
d=r[1].set_index('date')
d['ii'] = range(len(d))
count=d['ii'].rolling(window='2d',min_periods=2).agg(lambda x: next_day_sell(x, d)).sum()
ndd[r[0][0]]+=count
ncd[r[0][1]]+=count
效果好很多
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>卷商代號</th>
<th>卷商</th>
<th>分點代號</th>
<th>分點</th>
<th>次數</th>
</tr>
</thead>
<tbody>
<tr>
<th>34</th>
<td>1440</td>
<td>美林</td>
<td>1440</td>
<td>美林</td>
<td>62.0</td>
</tr>
<tr>
<th>26</th>
<td>9800</td>
<td>元大</td>
<td>987D</td>
<td>元大-新壢</td>
<td>17.0</td>
</tr>
<tr>
<th>8</th>
<td>5850</td>
<td>統一</td>
<td>585U</td>
<td>統一-南京</td>
<td>13.0</td>
</tr>
<tr>
<th>0</th>
<td>9800</td>
<td>元大</td>
<td>9800</td>
<td>元大</td>
<td>11.0</td>
</tr>
<tr>
<th>27</th>
<td>5920</td>
<td>元富</td>
<td>592B</td>
<td>元富-永和</td>
<td>10.0</td>
</tr>
<tr>
<th>7</th>
<td>5850</td>
<td>統一</td>
<td>585P</td>
<td>統一-板橋</td>
<td>8.0</td>
</tr>
<tr>
<th>10</th>
<td>5850</td>
<td>統一</td>
<td>585c</td>
<td>統一-仁愛</td>
<td>8.0</td>
</tr>
<tr>
<th>1</th>
<td>8770</td>
<td>大鼎</td>
<td>8770</td>
<td>大鼎</td>
<td>8.0</td>
</tr>
<tr>
<th>31</th>
<td>7000</td>
<td>兆豐</td>
<td>7000</td>
<td>兆豐</td>
<td>8.0</td>
</tr>
<tr>
<th>15</th>
<td>5850</td>
<td>統一</td>
<td>5850</td>
<td>統一</td>
<td>7.0</td>
</tr>
<tr>
<th>9</th>
<td>5850</td>
<td>統一</td>
<td>585M</td>
<td>統一-士林</td>
<td>7.0</td>
</tr>
<tr>
<th>33</th>
<td>7000</td>
<td>兆豐</td>
<td>700W</td>
<td>兆豐-城中</td>
<td>6.0</td>
</tr>
<tr>
<th>30</th>
<td>9800</td>
<td>元大</td>
<td>980K</td>
<td>元大-竹科</td>
<td>6.0</td>
</tr>
<tr>
<th>21</th>
<td>9600</td>
<td>富邦</td>
<td>9697</td>
<td>富邦-虎尾</td>
<td>5.0</td>
</tr>
<tr>
<th>32</th>
<td>7000</td>
<td>兆豐</td>
<td>700F</td>
<td>兆豐-虎尾</td>
<td>5.0</td>
</tr>
<tr>
<th>14</th>
<td>1480</td>
<td>美商高盛</td>
<td>1480</td>
<td>美商高盛</td>
<td>5.0</td>
</tr>
<tr>
<th>19</th>
<td>9300</td>
<td>華南永昌</td>
<td>9326</td>
<td>華南永昌-南京</td>
<td>4.0</td>
</tr>
<tr>
<th>22</th>
<td>9600</td>
<td>富邦</td>
<td>9658</td>
<td>富邦-建國</td>
<td>4.0</td>
</tr>
<tr>
<th>35</th>
<td>1470</td>
<td>台灣摩根士丹利</td>
<td>1470</td>
<td>台灣摩根士丹利</td>
<td>4.0</td>
</tr>
<tr>
<th>18</th>
<td>1520</td>
<td>瑞士信貸</td>
<td>1520</td>
<td>瑞士信貸</td>
<td>4.0</td>
</tr>
<tr>
<th>38</th>
<td>9A00</td>
<td>永豐金</td>
<td>9A9C</td>
<td>永豐金-員林</td>
<td>4.0</td>
</tr>
<tr>
<th>11</th>
<td>9200</td>
<td>凱基</td>
<td>9239</td>
<td>凱基-市政</td>
<td>4.0</td>
</tr>
<tr>
<th>12</th>
<td>8880</td>
<td>國泰</td>
<td>888K</td>
<td>國泰-板橋</td>
<td>4.0</td>
</tr>
<tr>
<th>36</th>
<td>9A00</td>
<td>永豐金</td>
<td>9A00</td>
<td>永豐金</td>
<td>3.0</td>
</tr>
<tr>
<th>29</th>
<td>1160</td>
<td>日盛</td>
<td>1160</td>
<td>日盛</td>
<td>3.0</td>
</tr>
<tr>
<th>20</th>
<td>9100</td>
<td>群益金鼎</td>
<td>918J</td>
<td>群益金鼎-永和</td>
<td>3.0</td>
</tr>
<tr>
<th>25</th>
<td>5920</td>
<td>元富</td>
<td>5920</td>
<td>元富</td>
<td>3.0</td>
</tr>
<tr>
<th>23</th>
<td>1530</td>
<td>港商德意志</td>
<td>1530</td>
<td>港商德意志</td>
<td>3.0</td>
</tr>
<tr>
<th>17</th>
<td>7790</td>
<td>國票</td>
<td>779W</td>
<td>國票-彰化</td>
<td>3.0</td>
</tr>
<tr>
<th>16</th>
<td>7790</td>
<td>國票</td>
<td>779c</td>
<td>國票-敦北法人</td>
<td>3.0</td>
</tr>
<tr>
<th>6</th>
<td>5850</td>
<td>統一</td>
<td>585B</td>
<td>統一-永和</td>
<td>3.0</td>
</tr>
<tr>
<th>5</th>
<td>9200</td>
<td>凱基</td>
<td>9218</td>
<td>凱基-大直</td>
<td>3.0</td>
</tr>
<tr>
<th>4</th>
<td>9200</td>
<td>凱基</td>
<td>9268</td>
<td>凱基-台北</td>
<td>3.0</td>
</tr>
<tr>
<th>3</th>
<td>9800</td>
<td>元大</td>
<td>9875</td>
<td>元大-土城永寧</td>
<td>3.0</td>
</tr>
<tr>
<th>39</th>
<td>9800</td>
<td>元大</td>
<td>983B</td>
<td>元大-林森</td>
<td>3.0</td>
</tr>
<tr>
<th>24</th>
<td>9300</td>
<td>華南永昌</td>
<td>9359</td>
<td>華南永昌-中正</td>
<td>2.0</td>
</tr>
<tr>
<th>28</th>
<td>1160</td>
<td>日盛</td>
<td>1161</td>
<td>日盛-忠孝</td>
<td>2.0</td>
</tr>
<tr>
<th>13</th>
<td>7790</td>
<td>國票</td>
<td>779u</td>
<td>國票-長城</td>
<td>2.0</td>
</tr>
<tr>
<th>37</th>
<td>9A00</td>
<td>永豐金</td>
<td>9A92</td>
<td>永豐金-萬盛</td>
<td>2.0</td>
</tr>
<tr>
<th>2</th>
<td>5050</td>
<td>大展</td>
<td>5050</td>
<td>大展</td>
<td>2.0</td>
</tr>
</tbody>
</table>
妖股第一名感覺不意外,遠遠超越第二名,鎖完漲停隔天就賣超過6成的危險股票
由於用張數150過濾,會過濾掉一些高價股,未來要再改進
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>code</th>
<th>name</th>
<th>次數</th>
</tr>
</thead>
<tbody>
<tr>
<th>2</th>
<td>2349</td>
<td>錸德</td>
<td>77.0</td>
</tr>
<tr>
<th>16</th>
<td>5469</td>
<td>瀚宇博</td>
<td>15.0</td>
</tr>
<tr>
<th>26</th>
<td>3360</td>
<td>尚立</td>
<td>12.0</td>
</tr>
<tr>
<th>27</th>
<td>2486</td>
<td>一詮</td>
<td>11.0</td>
</tr>
<tr>
<th>18</th>
<td>4944</td>
<td>兆遠</td>
<td>11.0</td>
</tr>
<tr>
<th>30</th>
<td>6509</td>
<td>聚和</td>
<td>9.0</td>
</tr>
<tr>
<th>1</th>
<td>2363</td>
<td>矽統</td>
<td>9.0</td>
</tr>
<tr>
<th>5</th>
<td>2323</td>
<td>中環</td>
<td>8.0</td>
</tr>
<tr>
<th>32</th>
<td>6278</td>
<td>台表科</td>
<td>8.0</td>
</tr>
<tr>
<th>12</th>
<td>6120</td>
<td>達運</td>
<td>8.0</td>
</tr>
<tr>
<th>24</th>
<td>2425</td>
<td>承啟</td>
<td>7.0</td>
</tr>
<tr>
<th>14</th>
<td>2329</td>
<td>華泰</td>
<td>7.0</td>
</tr>
<tr>
<th>39</th>
<td>8028</td>
<td>昇陽半導體</td>
<td>7.0</td>
</tr>
<tr>
<th>29</th>
<td>2442</td>
<td>新美齊</td>
<td>5.0</td>
</tr>
<tr>
<th>28</th>
<td>2368</td>
<td>金像電</td>
<td>5.0</td>
</tr>
<tr>
<th>22</th>
<td>6191</td>
<td>精成科</td>
<td>5.0</td>
</tr>
<tr>
<th>21</th>
<td>4725</td>
<td>信昌化</td>
<td>5.0</td>
</tr>
<tr>
<th>38</th>
<td>2390</td>
<td>云辰</td>
<td>5.0</td>
</tr>
<tr>
<th>0</th>
<td>6116</td>
<td>彩晶</td>
<td>5.0</td>
</tr>
<tr>
<th>19</th>
<td>8040</td>
<td>九暘</td>
<td>4.0</td>
</tr>
<tr>
<th>25</th>
<td>6113</td>
<td>亞矽</td>
<td>4.0</td>
</tr>
<tr>
<th>6</th>
<td>1909</td>
<td>榮成</td>
<td>4.0</td>
</tr>
<tr>
<th>17</th>
<td>8111</td>
<td>立碁</td>
<td>4.0</td>
</tr>
<tr>
<th>9</th>
<td>5410</td>
<td>國眾</td>
<td>4.0</td>
</tr>
<tr>
<th>7</th>
<td>3630</td>
<td>新鉅科</td>
<td>4.0</td>
</tr>
<tr>
<th>23</th>
<td>5425</td>
<td>台半</td>
<td>4.0</td>
</tr>
<tr>
<th>13</th>
<td>3591</td>
<td>艾笛森</td>
<td>4.0</td>
</tr>
<tr>
<th>10</th>
<td>1312</td>
<td>國喬</td>
<td>3.0</td>
</tr>
<tr>
<th>8</th>
<td>3576</td>
<td>新日光</td>
<td>3.0</td>
</tr>
<tr>
<th>15</th>
<td>6244</td>
<td>茂迪</td>
<td>3.0</td>
</tr>
<tr>
<th>31</th>
<td>4426</td>
<td>利勤</td>
<td>3.0</td>
</tr>
<tr>
<th>33</th>
<td>6167</td>
<td>久正</td>
<td>3.0</td>
</tr>
<tr>
<th>34</th>
<td>3221</td>
<td>台嘉碩</td>
<td>3.0</td>
</tr>
<tr>
<th>35</th>
<td>4989</td>
<td>榮科</td>
<td>3.0</td>
</tr>
<tr>
<th>36</th>
<td>1539</td>
<td>巨庭</td>
<td>3.0</td>
</tr>
<tr>
<th>37</th>
<td>5464</td>
<td>霖宏</td>
<td>3.0</td>
</tr>
<tr>
<th>3</th>
<td>00655L</td>
<td>國泰中國A50正2</td>
<td>3.0</td>
</tr>
<tr>
<th>20</th>
<td>6141</td>
<td>柏承</td>
<td>3.0</td>
</tr>
<tr>
<th>11</th>
<td>6213</td>
<td>聯茂</td>
<td>2.0</td>
</tr>
<tr>
<th>4</th>
<td>2456</td>
<td>奇力新</td>
<td>2.0</td>
</tr>
</tbody>
</table>