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dsyoon
2023-12-14 07:22:09 +09:00
parent 5e36f4140e
commit 7243e03cd8
1 changed files with 35 additions and 19 deletions
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82
hts/BuySellChecker.py
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@@ -102,37 +102,13 @@ class BuySellChecker():
if sum(data['trend_avg'][i - duration:i]) / duration < data['trend_avg'][i]: if sum(data['trend_avg'][i - duration:i]) / duration < data['trend_avg'][i]:
# 상승 트렌드 # 상승 트렌드
if data_signal['avg20'][si] < data_signal['avg5'][si]: if data_signal['avg20'][si] < data_signal['avg5'][si]:
"""
# 방법 2: # 방법 1:
if data['avg480'][i] < data['avg120'][i] < data['avg60'][i] < data['avg20'][i] < data['avg5'][i] < data['close'][i]: if max(data['volume_up'][i-180:i]) < data['volume_up'][i]:
if data['avg240'][i] < min(data['avg5'][i], data['avg20'][i], data['avg60'][i], data['avg120'][i]): if data_signal['slow_k'][si] < 70:
if BUY_LIST is not None and 0 < len(BUY_LIST['buy_list']) and data['ymd'][i] < BUY_LIST['buy_list'][-1]['buy_ymd'] + timedelta(minutes=10): if BUY_LIST is not None and 0 < len(BUY_LIST['buy_list']) and BUY_LIST['buy_list'][-1]['buy_price'] < data['close'][i]:
if BUY_LIST['buy_list'][-1]['buy_price'] < data['close'][i]:
buy_price = data['close'][i] buy_price = data['close'][i]
buy_type = 'golden' buy_type = 'volume_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 / (2 * data['close'][i])
else:
buy_count = MAX_BUY_PRICE / (3 * data['close'][i])
else:
buy_price = data['close'][i]
buy_type = 'golden'
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 / (2 * data['close'][i])
else:
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] and data['avg60'][i] < data['avg20'][i] < data['avg5'][i]:
buy_type = 'trend_up'
buy_ymd = data['ymd'][i] buy_ymd = data['ymd'][i]
if data['slow_k'][si] < 30: if data['slow_k'][si] < 30:
buy_count = MAX_BUY_PRICE / (1 * data['close'][i]) buy_count = MAX_BUY_PRICE / (1 * data['close'][i])
@@ -140,12 +116,52 @@ class BuySellChecker():
buy_count = MAX_BUY_PRICE / (1.5 * data['close'][i]) buy_count = MAX_BUY_PRICE / (1.5 * data['close'][i])
else: else:
buy_count = MAX_BUY_PRICE / (2 * data['close'][i]) buy_count = MAX_BUY_PRICE / (2 * data['close'][i])
return buy_ymd, buy_price, buy_count, buy_cut, buy_type
else:
buy_price = data['close'][i]
buy_type = 'volume_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
"""
# 방법 2:
if data['avg480'][i] < data['avg120'][i] < data['avg60'][i] < data['avg20'][i] < data['avg5'][i] < data['close'][i]:
if data['avg240'][i] < min(data['avg5'][i], data['avg20'][i], data['avg60'][i], data['avg120'][i]):
if BUY_LIST is not None and 0 < len(BUY_LIST['buy_list']) and data['ymd'][i] < \
BUY_LIST['buy_list'][-1]['buy_ymd'] + timedelta(minutes=10):
if BUY_LIST['buy_list'][-1]['buy_price'] < data['close'][i]:
buy_price = data['close'][i]
buy_type = 'golden'
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])
else:
buy_price = data['close'][i]
buy_type = 'golden'
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
# 방법 4: # 방법 3:
if data['avg60'][i] < data['avg20'][i] < data['avg5'][i]: 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]:
buy_type = 'short_trade' if data['avg480'][i] < data['avg20'][i] < data['avg5'][i] and data['avg60'][i] < data['avg20'][i] < data['avg5'][i]:
buy_price = data['close'][i]
buy_type = 'trend_up'
buy_ymd = data['ymd'][i] buy_ymd = data['ymd'][i]
if data['slow_k'][si] < 30: if data['slow_k'][si] < 30:
buy_count = MAX_BUY_PRICE / (1 * data['close'][i]) buy_count = MAX_BUY_PRICE / (1 * data['close'][i])