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dsyoon
2023-12-13 00:10:22 +09:00
parent 37808f73f8
commit 2617746fb8
1 changed files with 16 additions and 14 deletions
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hts/BuySellChecker.py
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@@ -121,6 +121,7 @@ class BuySellChecker():
if sum(data['trend_avg'][i - duration:i]) / duration < data['trend_avg'][i]:
# 상승 트렌드
if data_signal['avg20'][si] < data_signal['avg5'][si]:
"""
# 방법 1:
if max(data['volume_up'][i-180:i]) < data['volume_up'][i]:
if data_signal['slow_k'][si] < 70:
@@ -146,6 +147,7 @@ class BuySellChecker():
else:
buy_count = MAX_BUY_PRICE / (3 * data['close'][i])
return buy_ymd, buy_price, buy_count, buy_cut, buy_type
"""
# 방법 2:
if data['avg480'][i] < data['avg120'][i] < data['avg60'][i] < data['avg20'][i] < data['avg5'][i] < data['close'][i]:
@@ -173,21 +175,21 @@ class BuySellChecker():
buy_count = MAX_BUY_PRICE / (3 * data['close'][i])
return buy_ymd, buy_price, buy_count, buy_cut, buy_type
# 방법 3:
if sum(data['avg480'][i - 5:i]) < data['avg480'][i] and sum(data['avg60'][i - 5:i]) < data['avg60'][i] and sum(data['avg20'][i - 5:i]) < data['avg20'][i] and sum(data['avg5'][i - 5:i]) < data['avg5'][i]:
if data['avg480'][i] < data['avg20'][i] < data['avg5'][i]:
if data['avg60'][i] < data['avg20'][i] < data['avg5'][i]:
if data['avg5'][i] < data['avg5'][i]:
buy_type = 'trend_up'
buy_ymd = data['ymd'][i]
if data['slow_k'][si] < 30:
buy_count = MAX_BUY_PRICE / (1 * data['close'][i])
elif data['slow_k'][si] < 50:
buy_count = MAX_BUY_PRICE / (1.5 * data['close'][i])
else:
buy_count = MAX_BUY_PRICE / (2 * data['close'][i])
# 방법 3:
if sum(data['avg480'][i - 5:i]) < data['avg480'][i] and sum(data['avg60'][i - 5:i]) < data['avg60'][i] and sum(data['avg20'][i - 5:i]) < data['avg20'][i] and sum(data['avg5'][i - 5:i]) < data['avg5'][i]:
if data['avg480'][i] < data['avg20'][i] < data['avg5'][i]:
if data['avg60'][i] < data['avg20'][i] < data['avg5'][i]:
if data['avg5'][i] < data['avg5'][i]:
buy_type = 'trend_up'
buy_ymd = data['ymd'][i]
if data['slow_k'][si] < 30:
buy_count = MAX_BUY_PRICE / (1 * data['close'][i])
elif data['slow_k'][si] < 50:
buy_count = MAX_BUY_PRICE / (1.5 * data['close'][i])
else:
buy_count = MAX_BUY_PRICE / (2 * data['close'][i])
return buy_ymd, buy_price, buy_count, buy_cut, buy_type
return buy_ymd, buy_price, buy_count, buy_cut, buy_type
return buy_ymd, buy_price, buy_count, buy_cut, buy_type