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dsyoon
2023-01-25 22:51:07 +09:00
parent c61bb615ca
commit 6586034620
1 changed files with 47 additions and 43 deletions
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90
hts/BuySellChecker.py
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@@ -1006,8 +1006,7 @@ class BuySellChecker:
bsLine['buy'][i] = buy bsLine['buy'][i] = buy
bsLine['buy_weight'][i] = 10.0 bsLine['buy_weight'][i] = 10.0
if not (data['avg120'][i - 1] < data['avg60'][i - 1] < data['avg20'][i - 1] < data['avg5'][i - 1]) and ( if not (data['avg120'][i - 1] < data['avg60'][i - 1] < data['avg20'][i - 1] < data['avg5'][i - 1]) and (data['avg120'][i] < data['avg60'][i] < data['avg20'][i] < data['avg5'][i]):
data['avg120'][i] < data['avg60'][i] < data['avg20'][i] < data['avg5'][i]):
buy = data['low'][i] buy = data['low'][i]
data['buy'][i] = buy data['buy'][i] = buy
bsLine['buy'][i] = buy bsLine['buy'][i] = buy
@@ -1116,19 +1115,16 @@ class BuySellChecker:
): ):
check = False check = False
break break
if check and 99 < sum(data['disparity_avg5'][i - 4:i + 1]) / 5 < 100 and 99 < sum( if check and 99 < sum(data['disparity_avg5'][i - 4:i + 1]) / 5 < 100 and 99 < sum(data['disparity_avg60'][i - 4:i + 1]) / 5 < 100:
data['disparity_avg60'][i - 4:i + 1]) / 5 < 100: if data['slow_k'][i] < 30:
buy = data['low'][i] buy = data['low'][i]
data['buy'][i] = buy data['buy'][i] = buy
bsLine['buy'][i] = buy bsLine['buy'][i] = buy
bsLine['buy_weight'][i] = 3.0 bsLine['buy_weight'][i] = 3.0
check = True check = True
for l in range(i - 2, i): for l in range(i - 2, i):
if ( if (data['gradients_avg60'][l - 1] > data['gradients_avg60'][l] or data['gradients_low'][l - 1] > data['gradients_low'][l]):
data['gradients_avg60'][l - 1] > data['gradients_avg60'][l] or
data['gradients_low'][l - 1] > data['gradients_low'][l]
):
check = False check = False
break break
if ( if (
@@ -1137,10 +1133,11 @@ class BuySellChecker:
-0.0012 < data['gradients_avg60'][i] < 0 and -0.0012 < data['gradients_avg60'][i] < 0 and
98.90 < data['disparity_avg5'][i] < 101 98.90 < data['disparity_avg5'][i] < 101
): ):
buy = data['low'][i] if data['slow_k'][i] < 30:
data['buy'][i] = buy buy = data['low'][i]
bsLine['buy'][i] = buy data['buy'][i] = buy
bsLine['buy_weight'][i] = 5.0 bsLine['buy'][i] = buy
bsLine['buy_weight'][i] = 5.0
check = True check = True
for l in range(i - 6, i): for l in range(i - 6, i):
@@ -1155,10 +1152,11 @@ class BuySellChecker:
check = False check = False
break break
if check and 99 < min(data['disparity_avg5'][i - 6:i]) < max(data['disparity_avg5'][i - 6:i]) < 101: if check and 99 < min(data['disparity_avg5'][i - 6:i]) < max(data['disparity_avg5'][i - 6:i]) < 101:
buy = data['low'][i] if data['slow_k'][i] < 30:
data['buy'][i] = buy buy = data['low'][i]
bsLine['buy'][i] = buy data['buy'][i] = buy
bsLine['buy_weight'][i] = 5.0 bsLine['buy'][i] = buy
bsLine['buy_weight'][i] = 5.0
check = True check = True
for l in range(i - 3, i): for l in range(i - 3, i):
@@ -1173,10 +1171,11 @@ class BuySellChecker:
check = False check = False
break break
if check: if check:
buy = data['low'][i] if data['slow_k'][i] < 30:
data['buy'][i] = buy buy = data['low'][i]
bsLine['buy'][i] = buy data['buy'][i] = buy
bsLine['buy_weight'][i] = 5.0 bsLine['buy'][i] = buy
bsLine['buy_weight'][i] = 5.0
if (data['disparity'][i] < 5 and 99.0 < data['disparity_avg60'][i] < 99.1 and if (data['disparity'][i] < 5 and 99.0 < data['disparity_avg60'][i] < 99.1 and
-0.009 < data['gradients_avg60'][i] < -0.008 and 0.015 < data['gradients_avg20'][i] < 0.016 and -0.009 < data['gradients_avg60'][i] < -0.008 and 0.015 < data['gradients_avg20'][i] < 0.016 and
@@ -1191,19 +1190,21 @@ class BuySellChecker:
check = False check = False
break break
if check: if check:
buy = data['low'][i] if data['slow_k'][i] < 30:
data['buy'][i] = buy
bsLine['buy'][i] = buy
bsLine['buy_weight'][i] = 5.0
if data['macd'][i] < -4000:
if data['macd'][i - 1] < data['macd'][i]:
if not self.notBuy(data, i) and data['slow_k'][i] < 30:
buy = data['low'][i] buy = data['low'][i]
data['buy'][i] = buy data['buy'][i] = buy
bsLine['buy'][i] = buy bsLine['buy'][i] = buy
bsLine['buy_weight'][i] = 5.0 bsLine['buy_weight'][i] = 5.0
if data['macd'][i] < -4000:
if data['macd'][i - 1] < data['macd'][i]:
if not self.notBuy(data, i) and data['slow_k'][i] < 30:
if data['slow_k'][i] < 30:
buy = data['low'][i]
data['buy'][i] = buy
bsLine['buy'][i] = buy
bsLine['buy_weight'][i] = 5.0
# macd 이전에 없던 바닥인 경우 상승할 찰나 매수 # macd 이전에 없던 바닥인 경우 상승할 찰나 매수
if data['macds'][i - 1] < min(data['macds'][:i - 1]): if data['macds'][i - 1] < min(data['macds'][:i - 1]):
if data['macds'][i - 1] < data['macds'][i]: if data['macds'][i - 1] < data['macds'][i]:
@@ -1221,22 +1222,25 @@ class BuySellChecker:
data['slow_k'][i] < 11 data['slow_k'][i] < 11
): ):
if not self.notBuy(data, i): if not self.notBuy(data, i):
if data['slow_k'][i] < 30:
buy = data['low'][i]
data['buy'][i] = buy
bsLine['buy'][i] = buy
bsLine['buy_weight'][i] = 5.0
if data['slow_k'][i] < 20 and data['slow_k'][i - 1] < data['slow_d'][i - 1] and data['slow_d'][i] < data['slow_k'][i]:
if data['slow_k'][i] < 30:
buy = data['low'][i] buy = data['low'][i]
data['buy'][i] = buy data['buy'][i] = buy
bsLine['buy'][i] = buy bsLine['buy'][i] = buy
bsLine['buy_weight'][i] = 5.0 bsLine['buy_weight'][i] = 7.0
if data['slow_k'][i] < 20 and data['slow_k'][i - 1] < data['slow_d'][i - 1] and data['slow_d'][i] < data['slow_k'][i]:
buy = data['low'][i]
data['buy'][i] = buy
bsLine['buy'][i] = buy
bsLine['buy_weight'][i] = 7.0
if not (data['avg120'][i - 1] < data['avg60'][i - 1] < data['avg20'][i - 1] < data['avg5'][i - 1]) and (data['avg120'][i] < data['avg60'][i] < data['avg20'][i] < data['avg5'][i]): if not (data['avg120'][i - 1] < data['avg60'][i - 1] < data['avg20'][i - 1] < data['avg5'][i - 1]) and (data['avg120'][i] < data['avg60'][i] < data['avg20'][i] < data['avg5'][i]):
buy = data['low'][i] if data['slow_k'][i] < 30:
data['buy'][i] = buy buy = data['low'][i]
bsLine['buy'][i] = buy data['buy'][i] = buy
bsLine['buy_weight'][i] = 10.0 bsLine['buy'][i] = buy
bsLine['buy_weight'][i] = 10.0
return bsLine, data return bsLine, data