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
“To the extent it is used I fear it’s often for illicit finance. It’s an extremely inefficient way of conducting transactions, and the amount of energy that’s consumed in processing those transactions is staggering,” the former Fed chairwoman said. Yellen’s comments have been cited as a reason for bitcoin’s recent losses. However, Yellen’s assessment of bitcoin as a inefficient medium of exchange is an important point and one that has already been raised in the past by bitcoin bulls. Using a volatile asset in exchange for goods and services makes little sense if the asset can tumble 10% in a day, or surge 80% over the course of a two months as bitcoin has done in 2021, critics argue. To put a finer point on it, over the past 12 months bitcoin has registered 8 corrections, defined as a decline from a recent peak of at least 10% but not more than 20%, and two bear markets, which are defined as falls of 20% or more, according to Dow Jones Market Data.
