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dsyoon
2023-01-23 17:41:44 +09:00
parent b78d65fb53
commit 7d222a9f33
1 changed files with 4 additions and 3 deletions
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7
Bithumb_minute.py
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@@ -711,7 +711,8 @@ class Bithumb_minute(HTS):
# order: ('bid', 'BTC', 'C0101000000322993432', 'KRW')
print(ticker, "/", datetime.now().strftime('%Y-%m-%d %H:%M:%S'), "/", stock1['close'][len(stock1['close']) - 1], "/ BUY / ", stock1['slow_k'][len(stock1['slow_k']) - 1], "/", bsLine['buy'][len(bsLine['buy']) - 1], "/", count)
log_df.append({"type": "buy", "datetime": datetime.now().strftime('%Y-%m-%d %H:%M:%S'), "order0": order[0], "order1": order[1], "order2": order[2], "order3": order[3], "slow_k": stock1['slow_k'][len(stock1['slow_k']) - 1], "price": bsLine['buy'][len(bsLine['buy']) - 1], "count": count}, ignore_index=True)
value = {"type": "buy", "datetime": datetime.now().strftime('%Y-%m-%d %H:%M:%S'), "order0": order[0], "order1": order[1], "order2": order[2], "order3": order[3], "slow_k": stock1['slow_k'][len(stock1['slow_k']) - 1], "price": bsLine['buy'][len(bsLine['buy']) - 1], "count": count}
log_df = log_df.append(value, ignore_index=True)
log_df['datetime'] = pd.to_datetime(log_df['datetime'], unit='s')
log_df.set_index('datetime', inplace=True)
log_df.to_csv(log_filename, index=False)
@@ -726,8 +727,8 @@ class Bithumb_minute(HTS):
count = tmp[0]
order = self.bithumb.sell_limit_order(ticker, bsLine['sell'][len(bsLine['sell'])-1], count)
print(ticker, "/", datetime.now().strftime('%Y-%m-%d %H:%M:%S'), "/", stock1['close'][len(stock1['close']) - 1], "/ SELL / ", stock1['slow_k'][len(stock1['slow_k']) - 1], "/", bsLine['sell'][len(bsLine['sell']) - 1], "/", count)
log_df.append({"type": "buy", "datetime": datetime.now().strftime('%Y-%m-%d %H:%M:%S'), "order0": order[0], "order1": order[1], "order2": order[2], "order3": order[3], "slow_k": stock1['slow_k'][len(stock1['slow_k']) - 1], "price": bsLine['buy'][len(bsLine['buy']) - 1], "count": count}, ignore_index=True)
value = {"type": "buy", "datetime": datetime.now().strftime('%Y-%m-%d %H:%M:%S'), "order0": order[0], "order1": order[1], "order2": order[2], "order3": order[3], "slow_k": stock1['slow_k'][len(stock1['slow_k']) - 1], "price": bsLine['buy'][len(bsLine['buy']) - 1], "count": count}
log_df = log_df.append(value, ignore_index=True)
log_df['datetime'] = pd.to_datetime(log_df['datetime'], unit='s')
log_df.set_index('datetime', inplace=True)
log_df.to_csv(log_filename, index=False)