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dosang.yoon
2022-07-10 16:08:24 +09:00
parent 211474bd1b
commit 5ce3be27ba
4 changed files with 469 additions and 150 deletions
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444
hts/BuySellChecker.py
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@@ -1,4 +1,5 @@
import math
from datetime import datetime
import pandas as pd
from stockpredictor.analysis.Common import Common
from stockpredictor.analysis.Stochastic import Stochastic
@@ -25,7 +26,13 @@ class BuySellChecker:
def getPriceAndWeight1(self, data, i):
buy, weight, sell = -1, -1, -1
if i >= 3:
START_TIME_INDEX = 0
for c in range(370, len(data.index)):
if data.index[c].strftime("%H:%M:%S") == "09:01:00":
START_TIME_INDEX = c
break
if i >= START_TIME_INDEX:
################
### sell 분석 ###
################
@@ -78,6 +85,13 @@ class BuySellChecker:
def getPriceAndWeight2(self, data, i):
buy, weight, sell = -1, -1, -1
START_TIME_INDEX = 0
for c in range(370, len(data.index)):
if data.index[c].strftime("%H:%M:%S") == "09:01:00":
START_TIME_INDEX = c
break
if i >= START_TIME_INDEX:
################
### sell 분석 ###
################
@@ -135,32 +149,101 @@ class BuySellChecker:
return buy, weight, sell
# 곱버스에 해당함
def getPriceAndWeight3(self, data, i):
def getBuyCheck(self, data, i, buy, weight):
if data['close'][i]<data['avg3'][i]<data['avg5'][i]<data['avg10'][i]<data['avg20'][i]<data['avg30'][i]:
buy, weight, sell = -1, -1, -1
return buy, weight
# 381: 어제 날짜 데이터 개수
if i >= 381:
# 곱버스에 해당함
def getBuyPriceAndWeight1(self, data, i):
buy, weight = -1, -1
START_TIME_INDEX = 0
for c in range(370, len(data.index)):
if data.index[c].strftime("%H:%M:%S") == "09:01:00":
START_TIME_INDEX = c
break
if i >= START_TIME_INDEX:
# 매수 분석
# 장 초기 (시작 3분 이내) 양봉 2개에 3분차에 장대 양봉이면 매수.
if i < 381 + 4:
if data["open"][i] == data["low"][i] and data["close"][i] == data["high"][i]:
if data["close"][i-2] <= data["open"][i-1]:
if data["open"][i-2] < data["close"][i-2] and data["open"][i-1] < data["close"][i-1]:
buy = data["high"][i]
weight = 1
return self.getBuyCheck(data, i, buy, weight)
# 장 초기 (시작 7분 이내), 볼린져 하단에서 시작하여 이병선을 모두 상승하여 마감한 경우 low 값에서 매수한다.
if i < 381 + 8:
if data["open"][i] == data["low"][i] and data["close"][i] == data["high"][i]:
if data["close"][i] > max(data["avg3"][i], data["avg5"][i], data["avg10"][i], data["avg20"][i], data["avg30"][i]):
buy = data["low"][i]
weight = 5
return self.getBuyCheck(data, i, buy, weight)
# 만약 30원 이상 장대 양봉이 나온 경우, 다음이나 다다음 중간 값에서 매수를 한다.
if (data["close"][i] - data["low"][i]) >= 30:
middle = int((data["close"][i] + data["low"][i])/2)
buy = middle
weight = 1
return self.getBuyCheck(data, i, buy, weight)
# 이동선을 이용한 매매
# 3분선과 10분선이 30분 이상 내려오다가 3분선이 10분선을 넘어 서는 순간 매수
if int(data["avg3"][i]) > int(data["avg10"][i]):
valid = True
same_count = 0
for c in range(1, 30):
if int(data["avg3"][i-c]) == int(data["avg10"][i-c]):
same_count += 1
if int(data["avg3"][i-c]) > int(data["avg10"][i-c]):
valid = False
break
if valid and same_count < 2:
buy = data["close"][i] - 5
weight = 1
return self.getBuyCheck(data, i, buy, weight)
# 이동선을 이용한 매매
# 3분선과 5분선이 10분 이상 내려오다가 3분선이 5분선을 넘어 서는 순간 매수
if int(data["avg3"][i]) > int(data["avg5"][i]):
valid = True
same_count = 0
for c in range(1, 10):
for c in range(1, 11):
if int(data["avg3"][i-c]) == int(data["avg5"][i-c]):
same_count += 1
if int(data["avg3"][i-c]) > int(data["avg5"][i-c]):
valid = False
break
if int(data["avg3"][i-c]) > int(data["avg3"][i-c-1]) or int(data["avg5"][i-c]) > int(data["avg5"][i-c-1]):
valid = False
break
if valid and same_count < 3:
if valid and same_count < 2:
if data['macd'][i] < -5:
buy = data["close"][i] - 5
weight = 3
weight = 1
return self.getBuyCheck(data, i, buy, weight)
# 다이버젼스
# slow_k가 20 이하에서 이전 최저점의 slow_k보다 지금 최저점의 slow_k가 더 높은 경우
if data["slow_k"][i] < 20:
if data["close"][i] > data["close"][i - 1]:
p_slow_k = 100
p_close = 0
top = False
for c in range(1, 60):
if not top and data["close"][i-c] > min(data["open"][i-c], data["close"][i-c]):
top = True
if top and data["close"][i-c] > min(data["open"][i-c], data["close"][i-c]):
p_slow_k = data["slow_k"][i-c]
p_close = data["close"][i-c]
break
if data["close"][i] < p_close and data["slow_k"][i] > p_slow_k:
buy = data["close"][i]
weight = 1
return self.getBuyCheck(data, i, buy, weight)
# 이동선을 이용한 매매
@@ -196,67 +279,300 @@ class BuySellChecker:
if data['avg3'][i-index1-1] < data['avg10'][i-index1-1]:
if data["slow_k"][i] < 40:
buy = data["close"][i]
weight = 3
# 만약 30원 이상 장대 양봉이 나온 경우, 다음이나 다다음 중간 값에서 매수를 한다.
if (data["close"][i] - data["low"][i]) >= 30:
middle = int((data["close"][i] + data["low"][i])/2)
buy = middle
weight = 5
return self.getBuyCheck(data, i, buy, weight)
# 장 초기 (시작 7분 이내), 볼린져 하단에서 시작하여 이병선을 모두 상승하여 마감한 경우 low 값에서 매수한다.
if i < 381 + 8:
if data["open"][i] == data["low"][i]:
if data["close"][i] > max(data["avg3"][i], data["avg5"][i], data["avg10"][i], data["avg20"][i], data["avg30"][i]):
buy = data["low"][i]
"""
## macd를 이용한 매매
#if data["macdo"][i] < 0 and data["macd"][i] < -5:
# if data["macd"][i-3] > data["macd"][i-2] and data["macd"][i-2] > data["macd"][i-1] and data["macd"][i-1] < data["macd"][i]:
# buy = data["close"][i] - 5
"""
# 표준편차를 이용한 매매
"""
#mean = (data["avg3"][i] + data["avg5"][i] + data["avg10"][i] + data["avg20"][i] + data["avg30"][i])/5
#vsum = (data["avg3"][i] - mean) ** 2 + (data["avg5"][i] - mean) ** 2 + (data["avg10"][i] - mean) ** 2 + (data["avg20"][i] - mean) ** 2 + (data["avg30"][i] - mean) ** 2
#variance = vsum / 5
#std = math.sqrt(variance)
#if std < 1:
# sell = data["close"][i] - 5
"""
"""
# 매도 분석
# 3일 선이 10분 전부터 게속 10분선 위에 있다가 아래로 내려오면 매도함
valid = False
if data["avg3"][i] < data["avg5"][i]:
if (data["avg3"][i-1] > data["avg5"][i-1] and data["avg3"][i-2] > data["avg5"][i-2] and
data["avg3"][i-3] > data["avg5"][i-3] and data["avg3"][i-4] > data["avg5"][i-4] and
data["avg3"][i-5] > data["avg5"][i-5] and data["avg3"][i-6] > data["avg5"][i-6] and
data["avg3"][i-7] > data["avg5"][i-7] and data["avg3"][i-8] > data["avg5"][i-8] and
data["avg3"][i-9] > data["avg5"][i-8] and data["avg3"][i-10] > data["avg5"][i-10]):
# 10분 이상 10분 선 아래 3분선이 있다가 10분선 위로 올라 올때 장대장봉임
# 해당 기간 clsoe 값이 10분 선 아래 있을 때,
if data["avg10"][i] < data["avg3"][i] and data["low"][i] == data["open"][i] < data["close"][i] == data["high"][i]:
if (data["avg3"][i-1] <= data["avg10"][i-1]) and ((data["avg10"][i-1] and data["avg3"][i-1]) < data["close"][i-1]):
valid = True
for c in range(2, 11):
if data["avg10"][i-c] < data["avg3"][i-c] or data["avg10"][i-c] < data["close"][i-c]:
valid = False
break
if valid:
sell = data["close"][i]
"""
buy = int((data["open"][i] + data["close"][i])/2)
weight = 1
return self.getBuyCheck(data, i, buy, weight)
# 이동선을 이용한 매매
# 20분선이 30분선에 돌파 후 지지하는지 확인하고 해당 시점이 양봉이면 매수함
if data['avg20'][i] > data['avg30'][i]:
diff1 = data['avg20'][i] - data['avg30'][i]
diff2 = data['avg20'][i-1] - data['avg30'][i-1]
diff3 = data['avg20'][i-2] - data['avg30'][i-2]
diff4 = data['avg20'][i-3] - data['avg30'][i-3]
diff5 = data['avg20'][i-4] - data['avg30'][i-4]
if 0 < diff3 < diff2 < diff1:
if data['high'][i-2] <= data['high'][i-1] <= data['high'][i]:
if data['open'][i - 2] <= data['close'][i - 2] and data['open'][i-1] <= data['close'][i-1] and data['open'][i] <= data['close'][i]:
if diff5 < diff4 < 0:
if data["rsi"][i] < 30:
buy = (data["open"][i]+data["close"][i])/2
weight = 2
return self.getBuyCheck(data, i, buy, weight)
# macd를 이용한 매수
if data.index[i].strftime("%H:%M") < "10:00":
if data["macd"][i] < -15 and data["macd"][i-1] < min(data["macd"][i-7], data["macd"][i-6], data["macd"][i-5], data["macd"][i-4], data["macd"][i-3], data["macd"][i-2], data["macd"][i]):
buy = (data["open"][i]+data["close"][i])/2
weight = 1
return buy, weight
# slow_k를 이용한 매수
if data.index[i].strftime("%H:%M") < "09:20":
if data["slow_k"][i] < 10 and data["slow_k"][i-1] < min(data["slow_k"][i-4], data["slow_k"][i-3], data["slow_k"][i-2], data["slow_k"][i]):
buy = (data["open"][i]+data["close"][i])/2
weight = 1
return buy, weight
else:
if data["slow_k"][i] < 10 and data["slow_k"][i-1] < min(data["slow_k"][i-7], data["slow_k"][i-6], data["slow_k"][i-5], data["slow_k"][i-4], data["slow_k"][i-3], data["slow_k"][i-2], data["slow_k"][i]):
buy = (data["open"][i]+data["close"][i])/2
weight = 1
return self.getBuyCheck(data, i, buy, weight)
# 볼린저 밴드가 하락에서 상승으로 전환할 때,
# 지금 양봉 close가 upper를 돌파했다. (이전 거래량 보다 많음)
# 20분 이내로 양봉 close가 upper를 돌파 한 것이 있어야 한다.
# 지금 양봉의 close가 이전 양봉의 close보다 높아야 한다.
# 이 사이에 종가가 20분봉 위에 있어야 한다.
if data.index[i].strftime("%H:%M") > "09:15":
if (data['open'][i] < data['close'][i]==data['high'][i]) and (data['upper'][i] < data['close'][i]) and (data['volume'][i-1] < data['volume'][i]):
if data['open'][i-1] < data['close'][i-1] and data['open'][i-2] < data['close'][i-2]:
if data['close'][i-1] < data['upper'][i-1] and data['close'][i-2] < data['upper'][i-2] and data['close'][i-2] < data['upper'][i-2]:
index = -1
for c in range(6, 21):
if data['open'][i-c] < data['close'][i-c] and data['upper'][i-c] < data['close'][i-c]:
index = c
break
if index != -1:
valid = True
for c in range(2, index+1):
if data['open'][i-c] < data['avg20'][i-c] and data['close'][i-c] < data['avg20'][i-c]:
valid = False
break
if valid:
buy = data["close"][i]
weight = 2
return self.getBuyCheck(data, i, buy, weight)
return buy, weight
def getSellPriceAndWeight1(self, data, i):
sell, weight = -1, -1
START_TIME_INDEX = 0
for c in range(370, len(data.index)):
if data.index[c].strftime("%H:%M:%S") == "09:01:00":
START_TIME_INDEX = c
break
if i >= START_TIME_INDEX:
# 매도 분석
# 3분 선이 40분 전부터 게속 20분선 위에 있다가 아래로 내려오면 매도함
if data["avg3"][i] < data["avg20"][i]:
valid = True
for c in range(1, 41):
if data["avg3"][i-c] < data["avg20"][i-c]:
valid = False
break
if valid:
sell = int((data["open"][i] + data["close"][i])/2)
return sell, weight
# 3분 선이 60분 전부터 게속 30분선 위에 있다가 아래로 내려오면 매도함
if data["avg3"][i] < data["avg30"][i]:
valid = True
for c in range(1, 61):
if data["avg3"][i-c] < data["avg30"][i-c]:
valid = False
break
if valid:
sell = int((data["open"][i] + data["close"][i])/2)
return sell, weight
# 5분 선이 20분 전부터 게속 10분선 위에 있다가 아래로 내려오면 매도함
if data["avg5"][i] < data["avg10"][i]:
valid = True
for c in range(1, 21):
if data["avg5"][i-c] < data["avg10"][i-c]:
valid = False
break
if valid:
sell = int((data["open"][i] + data["close"][i])/2)
return sell, weight
# rsi와 rsis가 75이상에서 slow_k가 slow_d 아래롸 내려온 경우
if data["rsi"][i] >= 70 and data["rsis"][i] >= 70:
if data["rsi"][i-1] > data["rsis"][i-1] and data["rsi"][i] < data["rsis"][i]:
sell = int((data["open"][i] + data["close"][i]) / 2)
return sell, weight
# slow_k와 slow_d가 90이상에서 slow_k가 slow_d 아래롸 내려온 경우
if data["rsi"][i] >= 75 and data["rsis"][i] >= 75:
if data["slow_k"][i] >= 90 and data["slow_d"][i] >= 90:
if data["slow_k"][i-1] > data["slow_d"][i-1] and data["slow_k"][i] < data["slow_d"][i]:
sell = int((data["open"][i] + data["close"][i]) / 2)
if data.index[i].strftime("%H:%M") < "12:00" and data['rsis'][i] < 70:
return -1, -1
return sell, weight
return sell, weight
# 레버리지에 해당함
def getBuyPriceAndWeight2(self, data, i):
buy, weight = -1, -1
START_TIME_INDEX = 0
for c in range(370, len(data.index)):
if data.index[c].strftime("%H:%M:%S") == "09:01:00":
START_TIME_INDEX = c
break
if i >= START_TIME_INDEX:
# 매수 분석
# 이동선을 이용한 매매
# 3분선과 10분선이 20분 이상 내려오다가 3분선이 10분선을 넘어 서는 순간 매수
if int(data["avg3"][i]) > int(data["avg10"][i]):
if data["slow_k"][i] < 10:
valid = True
same_count = 0
for c in range(1, 21):
if int(data["avg3"][i-c]) == int(data["avg10"][i-c]):
same_count += 1
if int(data["avg3"][i-c]) > int(data["avg10"][i-c]):
valid = False
break
if valid and same_count < 2:
buy = data["close"][i] - 5
weight = 1
return self.getBuyCheck(data, i, buy, weight)
# slow_k를 이용한 매수
if data["slow_k"][i-2] < 5 and data["slow_k"][i-1] < 5 and data["slow_k"][i] < 7:
if data["slow_k"][i-2] < data["slow_k"][i] < data["slow_k"][i-1]:
buy = (data["open"][i]+data["close"][i])/2
weight = 1
return buy, weight
# macd를 이용한 매수
if data["macd"][i-2] < -45 and data["macd"][i-1] < -45 and data["macd"][i] < -45:
if data["macd"][i-1] < min (data["macd"][i-2], data["macd"][i]):
buy = (data["open"][i]+data["close"][i])/2
weight = 1
return self.getBuyCheck(data, i, buy, weight)
# slow_k를 이용한 매수
if data["slow_k"][i-2] < 15 and data["slow_k"][i-1] < 12 and data["slow_k"][i] < 12:
if data["slow_k"][i-2] < data["slow_k"][i] < data["slow_k"][i-1]:
if data["macd"][i - 1] < -25:
buy = (data["open"][i]+data["close"][i])/2
weight = 1
return self.getBuyCheck(data, i, buy, weight)
return buy, weight
def getSellPriceAndWeight2(self, data, i):
sell, weight = -1, -1
START_TIME_INDEX = 0
for c in range(370, len(data.index)):
if data.index[c].strftime("%H:%M:%S") == "09:01:00":
START_TIME_INDEX = c
break
if i >= START_TIME_INDEX:
# 매도 분석
#4분전에 upper 돌파 후 4음봉이면 매도
if data["open"][i-3] > data["upper"][i-3]:
if data["open"][i - 2] > data["close"][i - 2]:
if data["open"][i - 1] > data["close"][i - 1]:
if data["open"][i] > data["close"][i]:
sell = int((data["open"][i] + data["close"][i]) / 2)
return sell, weight
if data.index[i].strftime("%H:%M") == "10:55":
print (1)
# 3분 선이 15분 전부터 게속 5분선 위에 있다가 아래로 내려오면 매도함
if data["avg3"][i] <= data["avg5"][i]:
valid = True
for c in range(1, 16):
if data["avg3"][i-c] < data["avg5"][i-c] and abs(data["avg3"][i-c] - data["avg5"][i-c]) > 5:
valid = False
break
if valid:
sell = int((data["open"][i] + data["close"][i])/2)
return sell, weight
# 3분 선이 40분 전부터 게속 20분선 위에 있다가 아래로 내려오면 매도함
if data["avg3"][i] < data["avg20"][i]:
valid = True
for c in range(1, 41):
if data["avg3"][i-c] < data["avg20"][i-c]:
valid = False
break
if valid:
sell = int((data["open"][i] + data["close"][i])/2)
return sell, weight
# 3분 선이 60분 전부터 게속 30분선 위에 있다가 아래로 내려오면 매도함
if data["avg3"][i] < data["avg30"][i]:
valid = True
for c in range(1, 61):
if data["avg3"][i-c] < data["avg30"][i-c]:
valid = False
break
if valid:
sell = int((data["open"][i] + data["close"][i])/2)
return sell, weight
# 5분 선이 20분 전부터 게속 10분선 위에 있다가 아래로 내려오면 매도함
if data["avg5"][i] < data["avg10"][i]:
valid = True
for c in range(1, 21):
if data["avg5"][i-c] < data["avg10"][i-c]:
valid = False
break
if valid:
sell = int((data["open"][i] + data["close"][i])/2)
return sell, weight
# rsi와 rsis가 75이상에서 slow_k가 slow_d 아래롸 내려온 경우
if data["rsi"][i] >= 70 and data["rsis"][i] >= 70:
if data["rsi"][i-1] > data["rsis"][i-1] and data["rsi"][i] < data["rsis"][i]:
sell = data["close"][i] - 5
sell = int((data["open"][i] + data["close"][i]) / 2)
return sell, weight
# slow_k와 slow_d가 90이상에서 slow_k가 slow_d 아래롸 내려온 경우
if data["slow_k"][i] >= 90 and data["slow_d"][i] >= 90:
if data["slow_k"][i-1] > data["slow_d"][i-1] and data["slow_k"][i] < data["slow_d"][i]:
sell = int((data["open"][i] + data["close"][i]) / 2)
#if data["slow_d"][i] > 90 and data["rsi"][i] > 65:
# if data["upper"][i] <= data["high"][i]:
# sell = data["close"][i] - 5
if data.index[i].strftime("%H:%M") < "12:00" and data['rsis'][i] < 70:
return -1, -1
#if data['avg3'][i-1] > data['avg10'][i-1] and data['avg3'][i] <= data['avg10'][i]:
# if abs(data['avg3'][i - 1] - data['avg30'][i - 1]) > 10:
# sell = data["close"][i]
return buy, weight, sell
return sell, weight
return sell, weight
def analyze(self, result):
open = result["open"]
@@ -351,9 +667,11 @@ class BuySellChecker:
for i in range(size):
if stock_code == "252670":
buy, weight, sell = self.getPriceAndWeight3(data, i)
sell, weight = self.getSellPriceAndWeight1(data, i)
buy, weight = self.getBuyPriceAndWeight1(data, i)
else:
buy, weight, sell = self.getPriceAndWeight4(data, i)
sell, weight = self.getSellPriceAndWeight2(data, i)
buy, weight = self.getBuyPriceAndWeight2(data, i)
bsLine['buy'][i] = buy
bsLine['weight'][i] = weight

4
hts/HTS_122630.py
View File

@@ -33,7 +33,9 @@ class HTS_122630 (HTS):
bsLine['sell'] = [-1 for i in range(size)]
last_index = size - 1
buy, weight, sell = self.buySellChecker.getPriceAndWeight3(data, last_index)
#buy, weight, sell = self.buySellChecker.getPriceAndWeight3(data, last_index)
sell, weight = self.buySellChecker.getSellPriceAndWeight1(data, last_index)
buy, weight = self.buySellChecker.getBuyPriceAndWeight1(data, last_index)
return buy, weight, sell
def getSellingPrice(self, final_price):

4
hts/HTS_252670.py
View File

@@ -33,7 +33,9 @@ class HTS_252670 (HTS):
bsLine['sell'] = [-1 for i in range(size)]
last_index = size - 1
buy, weight, sell = self.buySellChecker.getPriceAndWeight3(data, last_index)
#buy, weight, sell = self.buySellChecker.getPriceAndWeight3(data, last_index)
sell, weight = self.buySellChecker.getSellPriceAndWeight1(data, last_index)
buy, weight = self.buySellChecker.getBuyPriceAndWeight1(data, last_index)
return buy, weight, sell
def getSellingPrice(self, final_price):

63
hts/Simulation.py
View File

@@ -1,5 +1,5 @@
from math import nan
from datetime import datetime, timedelta
from datetime import datetime
import csv
import pandas as pd
import plotly.graph_objects as go
@@ -93,11 +93,11 @@ class Simulation:
sell_check = go.Scatter(x=data['date'], y=sell_line, mode='markers', name="sell", marker=dict(size=14, color=sell_colors, line_width=0))
upper = go.Scatter(x=data['date'], y=data["upper"], name="upper", line_color='#000000')
lower = go.Scatter(x=data['date'], y=data["lower"], name="lower", line_color='#000000')
avg3 = go.Scatter(x=data['date'], y=data["avg3"], name="avg3", line_color='#000000')
avg5 = go.Scatter(x=data['date'], y=data["avg5"], name="avg5", line_color='#085F1B')
avg3 = go.Scatter(x=data['date'], y=data["avg3"], name="avg3", line_color='#1469F4')
avg5 = go.Scatter(x=data['date'], y=data["avg5"], name="avg5", line_color='#089B5B')
avg10 = go.Scatter(x=data['date'], y=data["avg10"], name="avg10", line_color='#ff00ff')
avg20 = go.Scatter(x=data['date'], y=data["avg20"], name="avg20", line_color='#1469F4')
avg30 = go.Scatter(x=data['date'], y=data["avg30"], name="avg30", line_color='#FFA500')
avg20 = go.Scatter(x=data['date'], y=data["avg20"], name="avg20", line_color='#8F8203')
avg30 = go.Scatter(x=data['date'], y=data["avg30"], name="avg30", line_color='#000000')
#avg60 = go.Scatter(x=data['date'], y=data["avg60"], name="avg60", line_color='#008000')
candle_stick = go.Candlestick(x=data['date'], open=data['open'], high=data['high'], low=data['low'], close=data['close'], increasing_line_color='red', decreasing_line_color='blue')
@@ -164,8 +164,8 @@ class Simulation:
today = days[1]
# 데이터를 가지고 온다.
self.getCSV("./data/" + self.stock_code + "_" + last_day + ".csv", last_day, result)
self.getCSV("./data/" + self.stock_code + "_" + today + ".csv", today, result)
self.getCSV("./backup/" + self.stock_code + "_" + last_day + ".csv", last_day, result)
self.getCSV("./backup/" + self.stock_code + "_" + today + ".csv", today, result)
# 분석을 통해서 볼린저밴드 상/하단을 계산한다.
data = self.buySellChecker.analyze(result)
@@ -180,44 +180,41 @@ class Simulation:
if __name__ == "__main__":
"""
# to check bying
stock_codes = {
# 122630
"252670": [
('20210901', '20210902'),
('20210902', '20210903'),
('20210906', '20210907'),
('20210907', '20210908'),
('20210907', '20210908'),
('20210908', '20210909'),
('20210909', '20210910'),
('20210910', '20210913'),
('20210913', '20210914'),
('20210914', '20210915'),
('20210915', '20210916'),
('20210916', '20210917'),
('20210923', '20210924'),
('20210927', '20210928'),
('20210928', '20210929'),
('20210929', '20210930'),
('20210930', '20211001'),
('20211005', '20211006'),
('20211006', '20211007'),
('20211007', '20211008'),
('20211008', '20211009'),
('20211009', '20211011'),
('20211011', '20211012'),
('20211012', '20211013'),
('20211013', '20211014'),
('20211014', '20211015'),
('20220627', '20220628'),
('20220701', '20220704'),
],
}
"""
stock_codes = {
# 252670
# 122630
"122630": [
('20220617', '20220620'),
('20220620', '20220621'),
('20220621', '20220622'),
('20220622', '20220623'),
('20220623', '20220624'),
('20220624', '20220627'),
('20220627', '20220628'),
('20220628', '20220629'),
('20220629', '20220630'),
('20220630', '20220701'),
('20220701', '20220704'),
('20220704', '20220705'),
('20220705', '20220706'),
('20220706', '20220707'),
('20220707', '20220708')
],
}
for stock_code in stock_codes:
simulation = Simulation(stock_code)