Скачать или смотреть 2025 01 08 數學測股 Python Stock Forecast : 推測明天收市價

#python
#linearregression
#股市預測
#stock forecast

free codes：
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LinearRegression
from sklearn.metrics import mean_squared_error, r2_score
import yfinance as yf
ticker = '0883.HK'
data = yf.download(ticker, start='2020-01-01')
data['SMA_20'] = data['Close'].rolling(window=20).mean()
data['SMA_50'] = data['Close'].rolling(window=50).mean()
data.dropna(inplace=True)
print(data.head())
X = data[['Open', 'High', 'Low', 'Volume', 'SMA_20', 'SMA_50']]
y = data['Close'].shift(-1).dropna()
X=X[:-1]
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
model = LinearRegression()
model.fit(X_train, y_train)
y_pred = model.predict(X_test)
mse = mean_squared_error(y_test, y_pred)
r2 = r2_score(y_test, y_pred)
print(f'Mean Squared Error: {mse}')
print(f'R-squared: {r2}')

future_predictions = model.predict(X.tail(1))
print(future_predictions)