4.16 K 线分析 • 寻找夜空中最亮的星
最后更新于：2022-04-01 21:54:07
# 4.16 K 线分析 • 寻找夜空中最亮的星
> 来源：https://uqer.io/community/share/557c4527f9f06c6518ad1543
星蜡烛线（简称星线）的实体较小,并且在它的实体与它前面的蜡烛线的实体之间形成了价格跳空。只要星线的实体与前一个实体没有任何重叠,那么这个星蜡烛线就是成立的。星线对形态反转有着重要意义。
+ step 1. 获取股票池。
+ step 2. 股票池筛选：最近趋势为跌-->换手率>2%-->近两天出现过星线。
+ step 3. 输出这些股票的最近k线图。
```py
from lib.kbase import K
def trend(closePrices, before=5):
'''趋势
@param closePrices: 收盘价格列表，由先到后顺序
@return: 上涨趋势返回1，下跌趋势返回-1, 趋势不明返回0
'''
if len(closePrices) < before: return 0
up = 0
down = 0
for i, price in enumerate(closePrices[-before:]):
if i == 0:
pre_price = price
continue
if pre_price < price:
up += 1
elif pre_price > price:
down += 1
pre_price = price
if up > down and closePrices[-2] > closePrices[before-1]:
return 1
elif down > up and closePrices[-2] < closePrices[before-1]:
return -1
else:
return 0
def is_star_line(infos):
'''
@param infos: [(openPrice，lowestPrice，highestPrice，closePrice), ...]
'''
ks = [K(e) for e in infos]
stars = []
for k in ks[-3:]:
if k.length > 0 and (k.entityLen/k.length) <= 0.1:
stars.append(k)
for star in stars:
idx = ks.index(star)
pre = ks[idx-1]
if pre.isRed:
if star.openPrice >= pre.closePrice and star.closePrice >= pre.closePrice:
return True
elif star.openPrice <= pre.openPrice and star.closePrice <= pre.openPrice:
return True
else:
if star.openPrice >= pre.openPrice and star.closePrice >= pre.openPrice:
return True
elif star.openPrice <= pre.closePrice and star.closePrice <= pre.closePrice:
return True
return False
```
```py
def get_k_pic(tid, ecd):
if ecd == 'XSHE':
pic = '' % \
(tid, tid, 2)
else:
pic = '' % \
(tid, tid, 1)
return pic
```
```py
from lib.kbase import K
today = '20150612'
beginDate = '20150601'
def get_active_tickers():
tickers = DataAPI.EquGet(equTypeCD="A", listStatusCD="L", field=['ticker', 'ListSector'])
tickers = tickers[tickers['ListSector'] != '创业板']
tickers = [val[0] for val in tickers.values]
return tickers
def get_last_with_star_line_tickers(count):
tickers = []
all_tickers = get_active_tickers()
for ticker in all_tickers:
infos = DataAPI.MktEqudAdjGet(ticker=ticker, beginDate=beginDate,
field=["ticker", "secShortName", "exchangeCD", "tradeDate", "openPrice",
"lowestPrice", "highestPrice", "closePrice"])
infos = infos[infos['openPrice'] > 0]
closePrices = [val[-1] for val in infos.values]
if not closePrices: continue
if trend(closePrices) != -1: continue
vol5 = DataAPI.MktStockFactorsOneDayGet(tradeDate=today,ticker=infos.values[0][0],field=["ticker","VOL5"])
vol5 = vol5.values[0][1]
if vol5 < 0.02: continue
_infos = [val[-4:] for val in infos.values]
if is_star_line(_infos):
tickers.append(infos)
if len(tickers) >= count: break
return tickers
if __name__ == '__main__':
tickers = get_last_with_star_line_tickers(1000)
for t in tickers:
print '###%s(%s)\n' % (t.values[0][1], t.values[0][0])
print get_k_pic(t.values[0][0], t.values[0][2])
print '\n'
```
锦龙股份(000712)
中科金财(002657)
克明面业(002661)
龙洲股份(002682)
麦趣尔(002719)
浙能电力(600023)
中新药业(600329)
太平洋(601099)
明星电缆(603333)
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