خود همبستگی(Auto correlation) سری زمانی در داده هاي سري زماني، مشکل شايع خود همبستگي يا همبستگي پياپي است كه بر روي جملات اخلال در دوره هاي مختلف وجود دارد. يکي از دلايل وجود همبستگي پياپي يا خود همبستگي اين است كه عوامل موثر از سري زماني حذف شده است، عواملي كه مانند متغيرهاي موجود در مدل مهم و با يکديگر ارتباط دارند. import matplotlib.pyplot as plot import numpy as np # Time series data data = np.array([24.40,10.25,20.05,22.00,16.90,7.80,15.00,22.80,34.90,13.30]) plot.acorr(data, maxlags=9) plot.title('Autocorrelation of XYZ stock price data') plot.xlabel('Lag') plot.ylabel('Autocorrelation') plot.show() #پایتون_مالی #همبستگی_سری_زمانی #سری_زمانی
خود همبستگی(Auto correlation) سری زمانی در داده هاي سري زماني، مشکل شايع خود همبستگي يا همبستگي پياپي است كه بر روي جملات اخلال در دوره هاي مختلف وجود دارد. يکي از دلايل وجود همبستگي پياپي يا خود همبستگي اين است كه عوامل موثر از سري زماني حذف شده است، عواملي كه مانند متغيرهاي موجود در مدل مهم و با يکديگر ارتباط دارند. import matplotlib.pyplot as plot import numpy as np # Time series data data = np.array([24.40,10.25,20.05,22.00,16.90,7.80,15.00,22.80,34.90,13.30]) plot.acorr(data, maxlags=9) plot.title('Autocorrelation of XYZ stock price data') plot.xlabel('Lag') plot.ylabel('Autocorrelation') plot.show() #پایتون_مالی #همبستگی_سری_زمانی #سری_زمانی
Telegram is an aspiring new messaging app that’s taking the world by storm. The app is free, fast, and claims to be one of the safest messengers around. It allows people to connect easily, without any boundaries.You can use channels on Telegram, which are similar to Facebook pages. If you’re wondering how to find channels on Telegram, you’re in the right place. Keep reading and you’ll find out how. Also, you’ll learn more about channels, creating channels yourself, and the difference between private and public Telegram channels.
At a time when the Indian stock market is peaking and has rallied immensely compared to global markets, there are companies that have not performed in the last 10 years. These are definitely a minor portion of the market considering there are hundreds of stocks that have turned multibagger since 2020. What went wrong with these stocks? Reasons vary from corporate governance, sectoral weakness, company specific and so on. But the more important question is, are these stocks worth buying?
