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dsyoon
2022-08-11 23:56:43 +09:00
parent c310e0a89a
commit 95f68cab7b
2 changed files with 19 additions and 12 deletions
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26
hts/BuySellChecker.py
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@@ -222,7 +222,13 @@ class BuySellChecker:
return buy, weight
# 3분선이 5분선이 돌파가 이전보다 높은 경우 매수
if data["avg3"][i - 1] < data["avg5"][i - 1] and data["avg3"][i] > data["avg5"][i]:
if data["slow_k"][i] < 20 and data["avg3"][i - 1] < data["avg5"][i - 1] and data["avg3"][i] > data["avg5"][i]:
buy = int((data["open"][i] + data["close"][i]) / 2)
weight = 1
return buy, weight
# 3분선이 5분선이 돌파가 이전보다 높은 경우 매수
if data["slow_k"][i] < 70 and data["avg3"][i - 1] < data["avg5"][i - 1] and data["avg3"][i] > data["avg5"][i]:
max_avg3 = 0
p_avg3 = 999999
for c in range(1, 50):
@@ -236,7 +242,8 @@ class BuySellChecker:
if i == 382 or i == 383:
if data["close"][i] != data["high"][i]:
return -1, -1
buy = int((data["open"][i] + data["close"][i]) / 2)
#buy = int((data["open"][i] + data["close"][i]) / 2)
buy = data["low"][i]
weight = 1
return buy, weight
@@ -444,12 +451,11 @@ class BuySellChecker:
# 매도 분석
# 10분선 위에서 3분선이 5분선을 하향 돌파 하는 경우 매도
if data["avg3"][i - 1] >= data["avg5"][i - 1] and data["avg3"][i] < data["avg5"][i]:
if min(data["avg3"][i], data["avg5"][i]) > data["avg10"][i]:
if data["slow_k"][i] > 80:
sell = int((data["high"][i] + data["low"][i]) / 2)
weight = 1
return sell, weight
if data["slow_k"][i - 1] > 60 and data["avg3"][i - 1] >= data["avg5"][i - 1] and data["avg3"][i] < data["avg5"][i]:
if max(data["avg3"][i], data["avg5"][i]) < data["avg10"][i]:
sell = int((data["high"][i] + data["low"][i]) / 2)
weight = 1
return sell, weight
"""
# 3분선이 5분 이상 5분선 위에 있다가 5분선 아래로 내려옴
if i >= 381 + 5:
@@ -1303,8 +1309,8 @@ class BuySellChecker:
sell, weight = self.getSellPriceAndWeight_3000(data, last_index)
buy, weight = self.getBuyPriceAndWeight_3000(data, last_index)
else:
sell, weight = self.getSellPriceAndWeight_15000(data, last_index)
buy, weight = self.getBuyPriceAndWeight_15000(data, last_index)
sell, weight = self.getBuyPriceAndWeight_3000(data, last_index)
buy, weight = self.getBuyPriceAndWeight_3000(data, last_index)
bsLine['buy'] = [buy]
bsLine['buy_weight'] = [weight]