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※코인 거래 기록 (4시간 수익률 10%) 업비트 개발자 센터 에서 api key와 secret key를 발급 받은 후 같은 디렉토리 내에 upbit_config.json 파일을 만든 후 그 안에 api key와 secret key 를 json 형태로 저장하고 새로운 파일명으로 파이썬 파일을 만든 뒤 아래 코드를 복붙 한 다음 사용 이전 거래기록이 저장 x시간,코인명,매수/매도,평균 단가2025-01-05 12:20:03,SBD,buy,58692025-01-05 12:27:13,SBD,sell,59532025-01-05 12:34:09,SBD,buy,58072025-01-05 12:36:44,SBD,sell,59492025-01-05 12:50:11,BTG,buy,378502025-01-05 12:50..
bithumb 특정 코인의 오늘 종가,최고가, 최저가 예측 프로그램
※예측 결과 import requestsimport pandas as pdimport numpy as npfrom sklearn.preprocessing import MinMaxScalerfrom tensorflow.keras.models import Sequentialfrom tensorflow.keras.layers import LSTM, Densefrom sklearn.model_selection import train_test_splitimport osimport matplotlib.pyplot as pltfrom datetime import datetime# 1. Bithumb API 특정 코인의 최근 100일 일봉 데이터 가져오기def fetch_last_100_days(coin_name,mi..
import pandas as pdimport timeimport numpy as npfrom pybithumb import Bithumbfrom tensorflow.keras.models import Sequentialfrom tensorflow.keras.layers import Dense, LSTMfrom sklearn.preprocessing import MinMaxScalerimport jwtimport uuidimport hashlibimport requestsimport jsonfrom urllib.parse import urlencodeimport osconkey = ''seckey = ''apiUrl = 'https://api.bithumb.com'# Bithumb 객체 생성bithumb..
import pandas as pdimport timeimport numpy as npfrom pybithumb import Bithumbfrom tensorflow.keras.models import Sequentialfrom tensorflow.keras.layers import Dense, LSTMfrom sklearn.preprocessing import MinMaxScalerimport jwtimport uuidimport hashlibimport requestsimport jsonfrom urllib.parse import urlencodeimport osconkey = 'bithumb 개인 api 키'seckey = 'bithumb 개인 secret 키'apiUrl = 'https://api..
import pandas as pdimport timeimport numpy as npfrom pybithumb import Bithumbfrom tensorflow.keras.models import Sequentialfrom tensorflow.keras.layers import Dense, LSTMfrom sklearn.preprocessing import MinMaxScalerimport jwtimport uuidimport hashlibimport requestsimport jsonfrom urllib.parse import urlencodeconkey = 'your bithumb api key' # 이곳에 bithumb api key 발급받아 입력seckey = 'your bithumb sec..
import pandas as pdimport timeimport numpy as npfrom pybithumb import Bithumbfrom tensorflow.keras.models import Sequentialfrom tensorflow.keras.layers import Dense, LSTMfrom sklearn.preprocessing import MinMaxScalerimport jwtimport uuidimport hashlibimport requestsimport jsonfrom urllib.parse import urlencode# API 키 입력conkey = '' #이곳에 bithumb api키 입력seckey = '' #이곳에 bithumb secret키 입력apiUrl = '..