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dosangyoon
2021-10-24 20:01:47 +09:00
parent 9df419be36
commit 7b87c1b56d
4 changed files with 136 additions and 20 deletions
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120
hts/BuySellChecker.py
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@@ -245,17 +245,129 @@ class BuySellChecker:
buy = data["Low"][i]
weight = 1
return buy, weight, sell
def getPriceAndWeight2(self, data, i):
buy, weight, sell = -1, -1, -1
if data["slow_k"][i] < 25:
buy = data["Low"][i]
if data["slow_k"][i] > 90:
################
### sell 분석 ###
################
# 1. 볼린져밴드 상단이 최고와 종가 사이 아래에 있는 경우 매도한다.
if (data["High"][i] - data["Close"][i]) / 2 + data["Close"][i] > data["upper"][i]:
sell = data["High"][i]
if data["slow_k"][i] >= 85:
if data["slow_d"][i - 1] < data["slow_k"][i - 1] and data["slow_k"][i] < data["slow_d"][i]:
sell = data["High"][i]
# 3. 2시 이후에는 최고가가 볼린져밴드 상단 위에 있으면 매도한다.
if i > 300 and data["High"][i] > data["upper"][i]:
sell = data["High"][i]
##########################
### STOCHASTIC buy 분석 ###
##########################
if i < 40:
pre_slow = data["slow_k"][i - 1] / data["slow_d"][i - 1] - 1
now_slow = data["slow_k"][i] / data["slow_d"][i] - 1
if pre_slow < 0 and 0 < now_slow:
if data["slow_k"][i] <= 20:
if (data["Close"][i] - data["lower"][i]) / (data["upper"][i] - data["lower"][i]) < 0.1:
if data["slow_k"][i - 1] < data["slow_d"][i - 1] and data["slow_d"][i] < data["slow_k"][i]:
if data["Close"][i] < data["avg5"][i]:
buy = data["Close"][i]
else:
buy = data["Low"][i]
else:
pre_slow = data["slow_k"][i - 1] / data["slow_d"][i - 1] - 1
now_slow = data["slow_k"][i] / data["slow_d"][i] - 1
if pre_slow < 0 and pre_slow < now_slow and -0.15 < now_slow:
if data["slow_k"][i] <= 20:
if (data["Close"][i] - data["lower"][i]) / (data["upper"][i] - data["lower"][i]) < 0.35:
if data["slow_k"][i - 1] < data["slow_d"][i - 1] and data["slow_d"][i] < data["slow_k"][i]:
if data["Close"][i] < data["avg5"][i]:
buy = data["Close"][i]
else:
buy = data["Low"][i]
#############################
### STOCHASTIC weight 분석 ###
#############################
if data["slow_k"][i] in (0, 1, 2, 3):
weight = 1
if data["slow_k"][i] in (4, 5, 6, 7, 8):
weight = 1
elif data["slow_k"][i] in (9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20):
weight = 1
elif data["slow_k"][i] in (21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35):
weight = 1
return buy, weight, sell
def getPriceAndWeight3(self, data, i):
buy, weight, sell = -1, -1, -1
################
### sell 분석 ###
################
# 1. 볼린져밴드 상단이 최고와 종가 사이 아래에 있는 경우 매도한다.
if (data["High"][i] - data["Close"][i]) / 2 + data["Close"][i] > data["upper"][i]:
sell = data["High"][i]
if data["slow_k"][i] >= 85:
if data["slow_d"][i - 1] < data["slow_k"][i - 1] and data["slow_k"][i] < data["slow_d"][i]:
sell = data["High"][i]
# 3. 2시 이후에는 최고가가 볼린져밴드 상단 위에 있으면 매도한다.
if i > 300 and data["High"][i] > data["upper"][i]:
sell = data["High"][i]
##########################
### STOCHASTIC buy 분석 ###
##########################
if i < 40:
pre_slow = data["slow_k"][i - 1] / data["slow_d"][i - 1] - 1
now_slow = data["slow_k"][i] / data["slow_d"][i] - 1
if data["slow_d"][i - 2] > data["slow_d"][i - 1] and data["slow_d"][i - 1] < data["slow_d"][i]:
if abs(data["slow_d"][i]-data["slow_k"][i]) < abs(data["slow_d"][i-1]-data["slow_k"][i-1]):
if now_slow < 0.15:
if data["Close"][i] < data["avg5"][i]:
buy = data["Close"][i]
else:
buy = data["Low"][i]
if data["slow_k"][i-1] < data["slow_d"][i-1] and data["slow_d"][i] < data["slow_k"][i]:
if abs(now_slow) < 0.001:
if now_slow < 0.15:
if data["Close"][i] < data["avg5"][i]:
buy = data["Close"][i]
else:
buy = data["Low"][i]
else:
if i > 60:
print (1)
pre_slow = data["slow_k"][i - 1] / data["slow_d"][i - 1] - 1
now_slow = data["slow_k"][i] / data["slow_d"][i] - 1
if pre_slow < 0 and pre_slow < now_slow and -0.15 < now_slow:
if data["slow_k"][i] <= 20:
if (data["Close"][i] - data["lower"][i]) / (data["upper"][i] - data["lower"][i]) < 0.35:
if data["Close"][i] < data["avg5"][i]:
buy = data["Close"][i]
else:
buy = data["Low"][i]
#############################
### STOCHASTIC weight 분석 ###
#############################
if data["slow_k"][i] in (0, 1, 2, 3):
weight = 1
if data["slow_k"][i] in (4, 5, 6, 7, 8):
weight = 1
elif data["slow_k"][i] in (9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20):
weight = 1
elif data["slow_k"][i] in (21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35):
weight = 1
return buy, weight, sell

2
hts/HTS_252670.py
View File

@@ -547,7 +547,7 @@ class HTS_252670:
def buyRealTime(self, stock_code, GIVEN_DAY):
orderChecker = OrderChecker(stock_code)
BASE_COUNT = 200
BASE_COUNT = 400
timecheckList = pd.read_csv("timecheck.csv").values.tolist()
timecheck = {GIVEN_DAY + " " + str(second).zfill(6):False for second, check in timecheckList}

3
hts/Simulation.py
View File

@@ -173,7 +173,8 @@ if __name__ == "__main__":
given_days = ['20210901','20210902','20210903','20210906','20210907','20210908','20210909','20210910','20210913',
'20210914','20210915','20210916','20210917','20210923','20210924','20210927','20210928','20210929',
'20210930','20211001','20211005','20211006','20211007','20211008','20211012','20211013','20211014',
'20211018', '20211019','20211020','20211021']
'20211018', '20211019','20211020','20211021','20211022']
simulation = Simulation()
given_days = sorted(given_days, reverse=True)