AutoCovariance Function(ACF) 그래프 확인
import pyupbit as pu import numpy as np import pandas as pd import matplotlib.pyplot as plt from statsmodels.graphics.tsaplots import plot_acf pu.get_current_price((“KRW-BTC”)) btc = pu.get_ohlcv(ticker=”KRW-BTC”,interval=”minute1″,to=’2023-04-12 23:59′,count=3000).close plt.figure(figsize=(14,7)) plt.title(‘Bitcoin’) plt.plot(btc) fig, ax = plt.subplots(figsize=(12, 5)) plot_acf(btc, ax=ax, lags=200) plt.xlabel(‘Lag’) plt.ylabel(‘Autocorrelation’) plt.title(‘Autocorrelation Function (ACF) of BTC Data’) plt.show()