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dsyoon
2023-01-25 15:23:29 +09:00
parent e59ee7dc74
commit e535c34718
1 changed files with 70 additions and 30 deletions
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Bithumb_minute.py
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@@ -26,8 +26,9 @@ class Bithumb_minute(HTS):
analyzerSqlite = None analyzerSqlite = None
bithumb = None bithumb = None
binance = None binance = None
TODAY = None
def __init__(self, RESOURCE_PATH): def __init__(self, RESOURCE_PATH, today):
super().__init__(RESOURCE_PATH) super().__init__(RESOURCE_PATH)
self.RESOURCE_PATH = RESOURCE_PATH self.RESOURCE_PATH = RESOURCE_PATH
@@ -40,6 +41,7 @@ class Bithumb_minute(HTS):
# bithumb api에 연결한 클라스 객체를 선언한다. # bithumb api에 연결한 클라스 객체를 선언한다.
self.bithumb = pybithumb.Bithumb(con_key, sec_key) self.bithumb = pybithumb.Bithumb(con_key, sec_key)
self.binance = ccxt.binance() self.binance = ccxt.binance()
self.TODAY = today
return return
@@ -320,7 +322,7 @@ class Bithumb_minute(HTS):
return data return data
def writeFile(self, dirName, ticker, data, bsLine, today, type=None): def writeFile(self, dirName, ticker, data, bsLine, type=None):
if bsLine is None: if bsLine is None:
return return
@@ -410,10 +412,10 @@ class Bithumb_minute(HTS):
fig['layout'].update() fig['layout'].update()
if type is None: if type is None:
fileName = "%s/%s_%s.html" % (dirName, ticker, today) fileName = "%s/%s_%s.html" % (dirName, ticker, self.TODAY)
po.write_html(fig, file=fileName, auto_open=False) po.write_html(fig, file=fileName, auto_open=False)
else: else:
fileName = "%s/%s_%s_%s.html" % (dirName, type, ticker, today) fileName = "%s/%s_%s_%s.html" % (dirName, type, ticker, self.TODAY)
po.write_html(fig, file=fileName, auto_open=False) po.write_html(fig, file=fileName, auto_open=False)
return return
@@ -535,6 +537,20 @@ class Bithumb_minute(HTS):
return log_df return log_df
def check_buy_history(self, log_df, log_filename, hours=3):
now = datetime.now() - timedelta(hours=hours)
log_df = log_df.loc[(now < log_df.index)]
if len(log_df) == 0:
log_df["datetime"] = ""
buy_history = False
else:
log_df["datetime"] = log_df.index
buy_history = True
log_df.to_csv(log_filename, index=False)
return buy_history, log_df
def getStock(self, ticker, analyzed_day, minute=5): def getStock(self, ticker, analyzed_day, minute=5):
stock = {"CODE": ticker, "NAME": ticker, "PRICE": []} stock = {"CODE": ticker, "NAME": ticker, "PRICE": []}
@@ -580,20 +596,32 @@ class Bithumb_minute(HTS):
# 그래프를 그린다. # 그래프를 그린다.
if len(stock1.index) > 10: if len(stock1.index) > 10:
today = datetime.today().strftime('%Y%m%d') # 매수 요청 n분 이상된 주문은 취소하기 위함
log_filename = os.path.join(RESOURCE_PATH, 'order', "bithumb"+"_"+today + '.log') order_log_filename = os.path.join(RESOURCE_PATH, 'order', "bithumb"+"_"+self.TODAY + '.log')
if os.path.exists(log_filename): if os.path.exists(order_log_filename):
log_df = pd.read_csv(log_filename) order_log_df = pd.read_csv(order_log_filename)
log_df.columns = ["type", "order0", "order1", "order2", "order3", "slow_k_30", "slow_k_5", "price", "count", "datetime"] order_log_df.columns = ["type", "order0", "order1", "order2", "order3", "slow_k_30", "slow_k_5", "price", "count", "datetime"]
log_df["datetime"] = pd.to_datetime(log_df["datetime"], format='%Y-%m-%d %H:%M:%S') order_log_df["datetime"] = pd.to_datetime(order_log_df["datetime"], format='%Y-%m-%d %H:%M:%S')
else: else:
log_df = pd.DataFrame(columns=["type", "datetime", "order0", "order1", "order2", "order3", "slow_k_30", "slow_k_5", "price", "count"]) order_log_df = pd.DataFrame(columns=["type", "datetime", "order0", "order1", "order2", "order3", "slow_k_30", "slow_k_5", "price", "count"])
log_df['datetime'] = pd.to_datetime(log_df['datetime'], unit='s') order_log_df['datetime'] = pd.to_datetime(order_log_df['datetime'], unit='s')
log_df.set_index('datetime', inplace=True) order_log_df.set_index('datetime', inplace=True)
# 한번 매수 후 n시간 이후 매수하기 위함
buy_history_filename = os.path.join(RESOURCE_PATH, 'order', "bithumb" + "_" + self.TODAY + '.log')
if os.path.exists(buy_history_filename):
buy_history_df = pd.read_csv(buy_history_filename)
buy_history_df.columns = ["type", "order0", "order1", "order2", "order3", "slow_k_30", "slow_k_5", "price", "count", "datetime"]
buy_history_df["datetime"] = pd.to_datetime(buy_history_df["datetime"], format='%Y-%m-%d %H:%M:%S')
else:
buy_history_df = pd.DataFrame(columns=["type", "datetime", "order0", "order1", "order2", "order3", "slow_k_30", "slow_k_5", "price", "count"])
buy_history_df['datetime'] = pd.to_datetime(buy_history_df['datetime'], unit='s')
buy_history_df.set_index('datetime', inplace=True)
# 10분이 지난 미체결은 취소한다. # 10분이 지난 미체결은 취소한다.
log_df = self.cancel_order(log_df, log_filename, 10) order_log_df = self.cancel_order(order_log_df, order_log_filename, min=10)
if isRealTime: buy_history, buy_history_df = self.check_buy_history(buy_history_df, buy_history_filename, hours=3)
if isRealTime and not buy_history:
if max(bsLine['buy'][len(bsLine['buy']) - 2:]) > 100: if max(bsLine['buy'][len(bsLine['buy']) - 2:]) > 100:
tmp = self.bithumb.get_balance(ticker) tmp = self.bithumb.get_balance(ticker)
balance = tmp[2] balance = tmp[2]
@@ -606,16 +634,27 @@ class Bithumb_minute(HTS):
datetime_value = datetime.now().strftime('%Y-%m-%d %H:%M:%S') datetime_value = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
value_df = pd.DataFrame(value, index=[datetime_value]) value_df = pd.DataFrame(value, index=[datetime_value])
indexes = log_df.index.tolist() # 매수 요청 n분 이상된 주문은 취소하기 위함
indexes.append(datetime_value) indexes1 = order_log_df.index.tolist()
indexes1.append(datetime_value)
log_df = log_df.append(value_df, ignore_index = True) order_log_df = order_log_df.append(value_df, ignore_index = True)
log_df.index = indexes order_log_df.index = indexes1
log_df['datetime'] = log_df.index order_log_df['datetime'] = order_log_df.index
log_df.to_csv(log_filename, index=False) order_log_df.to_csv(order_log_filename, index=False)
# 한번 매수 후 n시간 이후 매수하기 위함
indexes2 = buy_history_df.index.tolist()
indexes2.append(datetime_value)
buy_history_df = buy_history_df.append(value_df, ignore_index=True)
buy_history_df.index = indexes2
buy_history_df['datetime'] = buy_history_df.index
buy_history_df.to_csv(order_log_filename, index=False)
# 파일에 매수 시점 그래프
dirName = os.path.join(RESOURCE_PATH, 'analysis', 'bithumb') dirName = os.path.join(RESOURCE_PATH, 'analysis', 'bithumb')
self.writeFile(dirName, ticker, stock1, bsLine, datetime.now().strftime('%Y%m%d %H%M%S'), 'buy') self.writeFile(dirName, ticker, stock1, bsLine, 'buy')
if max(bsLine['sell'][len(bsLine['sell']) - 2:]) > 100: if max(bsLine['sell'][len(bsLine['sell']) - 2:]) > 100:
tmp = self.bithumb.get_balance(ticker) tmp = self.bithumb.get_balance(ticker)
@@ -629,19 +668,19 @@ class Bithumb_minute(HTS):
datetime_value = datetime.now().strftime('%Y-%m-%d %H:%M:%S') datetime_value = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
value_df = pd.DataFrame(value, index=[datetime_value]) value_df = pd.DataFrame(value, index=[datetime_value])
indexes = log_df.index.tolist() indexes = order_log_df.index.tolist()
indexes.append(datetime_value) indexes.append(datetime_value)
log_df = log_df.append(value_df, ignore_index=True) order_log_df = order_log_df.append(value_df, ignore_index=True)
log_df.index = indexes order_log_df.index = indexes
log_df['datetime'] = log_df.index order_log_df['datetime'] = order_log_df.index
log_df.to_csv(log_filename, index=False) order_log_df.to_csv(order_log_filename, index=False)
dirName = os.path.join(RESOURCE_PATH, 'analysis', 'bithumb') dirName = os.path.join(RESOURCE_PATH, 'analysis', 'bithumb')
self.writeFile(dirName, ticker, stock1, bsLine, datetime.now().strftime('%Y%m%d %H%M%S'), 'sell') self.writeFile(dirName, ticker, stock1, bsLine, 'sell')
else: else:
dirName = os.path.join(RESOURCE_PATH, 'analysis', 'bithumb') dirName = os.path.join(RESOURCE_PATH, 'analysis', 'bithumb')
self.writeFile(dirName, ticker, stock1, bsLine, datetime.now().strftime('%Y%m%d %H%M%S')) self.writeFile(dirName, ticker, stock1, bsLine)
return return
@@ -658,7 +697,8 @@ if __name__ == "__main__":
os.mkdir(dirName) os.mkdir(dirName)
# bithumb_daily = Bithumb_daily(RESOURCE_PATH) # bithumb_daily = Bithumb_daily(RESOURCE_PATH)
bithumb = Bithumb_minute(RESOURCE_PATH) today = datetime.today().strftime('%Y%m%d')
bithumb = Bithumb_minute(RESOURCE_PATH, today)
tickers = ['XRP'] tickers = ['XRP']
analyzed_day = 120 analyzed_day = 120