dsyoon/DeepStock
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

init

Browse Source
This commit is contained in:
dosangyoon
2022-08-11 21:08:00 +09:00
parent 19716581b5
commit c310e0a89a
2 changed files with 23 additions and 17 deletions
Download Patch File Download Diff File Expand all files Collapse all files

15
Simulation.py
View File

@@ -38,9 +38,8 @@ class Simulation (HTS):
# 어제 데이터는 지운다. # 어제 데이터는 지운다.
data = data.loc[pd.DatetimeIndex(data.index).day == int(given_day[6:])] data = data.loc[pd.DatetimeIndex(data.index).day == int(given_day[6:])]
buy_line = bsLine['buy'][381:] buy_line = bsLine['buy'][381:]
buy_weight_line = bsLine['buy_weight'][381:]
sell_line = bsLine['sell'][381:] sell_line = bsLine['sell'][381:]
#buy_line = bsLine['buy']
#sell_line = bsLine['sell']
# 그래프 설정을 위한 변수를 생성한다. # 그래프 설정을 위한 변수를 생성한다.
data = data.astype({'open': 'int', data = data.astype({'open': 'int',
@@ -61,13 +60,17 @@ class Simulation (HTS):
'rsis': 'float' 'rsis': 'float'
}) })
buy_size = []
buy_colors = [] buy_colors = []
for i in range(len(buy_line)): for i in range(len(buy_line)):
if buy_line[i] < 0: if buy_line[i] < 0:
buy_colors.append("#ffffff") buy_colors.append("#ffffff")
buy_line[i] = nan buy_line[i] = nan
buy_size.append(0)
else: else:
buy_colors.append("#ff00ff") buy_colors.append("#DA8913")
buy_size.append(10 + (5 * buy_weight_line[i]))
sell_colors = [] sell_colors = []
for i in range(len(sell_line)): for i in range(len(sell_line)):
if sell_line[i] < 0: if sell_line[i] < 0:
@@ -77,7 +80,7 @@ class Simulation (HTS):
sell_colors.append("#00ced1") sell_colors.append("#00ced1")
# 그래프를 설정한다. # 그래프를 설정한다.
buy_check = go.Scatter(x=data['date'], y=buy_line, mode='markers', name="buy", marker=dict(size=14, color=buy_colors, line_width=0)) buy_check = go.Scatter(x=data['date'], y=buy_line, mode='markers', name="buy", marker=dict(size=buy_size, color=buy_colors, line_width=0))
sell_check = go.Scatter(x=data['date'], y=sell_line, mode='markers', name="sell", marker=dict(size=14, color=sell_colors, line_width=0)) 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') 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') lower = go.Scatter(x=data['date'], y=data["lower"], name="lower", line_color='#000000')
@@ -175,8 +178,8 @@ if __name__ == "__main__":
# to check bying # to check bying
stock_codes = { stock_codes = {
"122630": ['20220801', '20220802', '20220803', '20220804', '20220805'], "252670": ['20220801', '20220802', '20220803', '20220804', '20220805', '20220808', '20220809', '20220810', '20220811'],
"252670": ['20220801', '20220802', '20220803', '20220804', '20220805'], #"122630": ['20220810'],
} }
method = "rule" # "rule", "ml", "answer" method = "rule" # "rule", "ml", "answer"

19
hts/BuySellChecker.py
View File

@@ -199,7 +199,7 @@ class BuySellChecker:
# "15:00" 까지만 매수 # "15:00" 까지만 매수
return buy, weight return buy, weight
if data["macd"][i] < -25: if i > 380 + 30 and data["macd"][i] < -25:
if data["avg3"][i] > min(data["avg5"][i], data["avg10"][i], data["avg20"][i]): if data["avg3"][i] > min(data["avg5"][i], data["avg10"][i], data["avg20"][i]):
buy = data["high"][i] buy = data["high"][i]
if i < 381 + 30: if i < 381 + 30:
@@ -208,13 +208,13 @@ class BuySellChecker:
weight = 5 weight = 5
return buy, weight return buy, weight
if data["macd"][i] < -5 and data["rsi"][i] < 30: if i > 380 + 30 and data["macd"][i] < -5 and data["rsi"][i] < 30:
if data["avg3"][i] > min(data["avg5"][i], data["avg10"][i], data["avg20"][i]): if data["avg3"][i] > min(data["avg5"][i], data["avg10"][i], data["avg20"][i]):
buy = int((data["open"][i] + data["close"][i]) / 2) buy = int((data["open"][i] + data["close"][i]) / 2)
weight = 2 weight = 2
return buy, weight return buy, weight
if data["slow_k"][i] < 10 and data["rsi"][i] < 30: if i > 380 + 30 and data["slow_k"][i] < 10 and data["rsi"][i] < 30:
if data["slow_k"][i - 1] < min(data["slow_k"][i - 2], data["slow_k"][i]): if data["slow_k"][i - 1] < min(data["slow_k"][i - 2], data["slow_k"][i]):
if data["avg3"][i] > min(data["avg5"][i], data["avg10"][i], data["avg20"][i]): if data["avg3"][i] > min(data["avg5"][i], data["avg10"][i], data["avg20"][i]):
buy = int((data["open"][i] + data["close"][i]) / 2) buy = int((data["open"][i] + data["close"][i]) / 2)
@@ -223,16 +223,19 @@ class BuySellChecker:
# 3분선이 5분선이 돌파가 이전보다 높은 경우 매수 # 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["avg3"][i - 1] < data["avg5"][i - 1] and data["avg3"][i] > data["avg5"][i]:
max_avg3 = 0
p_avg3 = 999999 p_avg3 = 999999
for c in range(1, 50): for c in range(1, 50):
if max_avg3 < data["avg5"][i - c]:
max_avg3 = data["avg5"][i - c]
if data["avg3"][i-c-1] < data["avg5"][i-c-1] and data["avg3"][i-c] > data["avg5"][i-c]: if data["avg3"][i-c-1] < data["avg5"][i-c-1] and data["avg3"][i-c] > data["avg5"][i-c]:
p_avg3 = data["avg3"][i-c] p_avg3 = data["avg3"][i-c]
break break
if data["avg3"][i] > p_avg3: if data["avg3"][i] > p_avg3 and max_avg3 < data["avg3"][i]:
if max(data["avg3"][i-3], data["avg3"][i-2], data["avg3"][i-1]) - min(data["avg3"][i-3], data["avg3"][i-2], data["avg3"][i-1]) > 1:
if i == 382 or i == 383: if i == 382 or i == 383:
if data["close"][i] != data["high"][i]: if data["close"][i] != data["high"][i]:
return -1, -1 return -1, -1
if data["slow_k"][i] < 30 or i < 381 + 10:
buy = int((data["open"][i] + data["close"][i]) / 2) buy = int((data["open"][i] + data["close"][i]) / 2)
weight = 1 weight = 1
return buy, weight return buy, weight
@@ -548,7 +551,7 @@ class BuySellChecker:
# "15:00" 까지만 매수 # "15:00" 까지만 매수
return buy, weight return buy, weight
if data["macd"][i] < -25: if i > 380 + 30 and data["macd"][i] < -25:
if data["avg3"][i] > min(data["avg5"][i], data["avg10"][i], data["avg20"][i]): if data["avg3"][i] > min(data["avg5"][i], data["avg10"][i], data["avg20"][i]):
buy = data["high"][i] buy = data["high"][i]
if i < 381 + 30: if i < 381 + 30:
@@ -557,13 +560,13 @@ class BuySellChecker:
weight = 5 weight = 5
return buy, weight return buy, weight
if data["macd"][i] < -5 and data["rsi"][i] < 30: if i > 380 + 30 and data["macd"][i] < -5 and data["rsi"][i] < 30:
if data["avg3"][i] > min(data["avg5"][i], data["avg10"][i], data["avg20"][i]): if data["avg3"][i] > min(data["avg5"][i], data["avg10"][i], data["avg20"][i]):
buy = int((data["open"][i] + data["close"][i]) / 2) buy = int((data["open"][i] + data["close"][i]) / 2)
weight = 2 weight = 2
return buy, weight return buy, weight
if data["slow_k"][i] < 10 and data["rsi"][i] < 30: if i > 380 + 30 and data["slow_k"][i] < 10 and data["rsi"][i] < 30:
if data["slow_k"][i - 1] < min(data["slow_k"][i - 2], data["slow_k"][i]): if data["slow_k"][i - 1] < min(data["slow_k"][i - 2], data["slow_k"][i]):
if data["avg3"][i] > min(data["avg5"][i], data["avg10"][i], data["avg20"][i]): if data["avg3"][i] > min(data["avg5"][i], data["avg10"][i], data["avg20"][i]):
buy = int((data["open"][i] + data["close"][i]) / 2) buy = int((data["open"][i] + data["close"][i]) / 2)