import numpy as np
import pandas as pd
import mplfinance as mpf
import talib
from datetime import datetime
data = pd.read_csv('2330.csv')
data.iloc[:, 0] = pd.to_datetime(data.iloc[:, 0], format = "%Y/%m/%d")
dataclose= [float(line) for line in data['Close']]
K,D = talib.STOCH(data['High'].values,data['Low'].values,data['Close'].values)
# Compedium : Stock Investment Strategy Using MACD Crossover To Determine When To Buy & Sell
# Import The Needed Library
import pandas as pd
import numpy as np
from datetime import datetime
import matplotlib.pyplot as plt
plt.style.use('fivethirtyeight')
# Store The Data Into The 'df' (DataFrame) Variable
TheFool Toby changed 4 years agoView mode Like Bookmark