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تفکیک بخش های یک سری زمانی
همانگونه که پیش از این اشاره شد، یکی از اهداف ما در سری های زمانی، شناخت روند، تناوب ها، تغییرات فصلی و موارد نامشخص است. یکی از کتابخانه های خوب پایتون برای کار با داده های سری زمانی کتابخانه Statsmodels است. برای مثال استخراج روند، تغییرات فصلی و موارد پیش بینی نشده در مثال فرض زیر به این صورت خواهد بود.

import numpy as np
from matplotlib import pyplot
from statsmodels.tsa.seasonal import seasonal_decompose
x = w = np.random.normal(size=100)
for t in range(100):
x[t] = x[t-1] + w[t]
result = seasonal_decompose(x, model='additive', freq=1)
result.plot()
pyplot.show()

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#مدلسازی_سری_زمانی
#سری_زمانی

پایتون برای مالی در تلگرام https://www.tg-me.com/ms/Python4Finance/com.python4finance
پایتون برای مالی در بله https://ble.im/ms/Python4Finance/com.python4finance



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تفکیک بخش های یک سری زمانی
همانگونه که پیش از این اشاره شد، یکی از اهداف ما در سری های زمانی، شناخت روند، تناوب ها، تغییرات فصلی و موارد نامشخص است. یکی از کتابخانه های خوب پایتون برای کار با داده های سری زمانی کتابخانه Statsmodels است. برای مثال استخراج روند، تغییرات فصلی و موارد پیش بینی نشده در مثال فرض زیر به این صورت خواهد بود.

import numpy as np
from matplotlib import pyplot
from statsmodels.tsa.seasonal import seasonal_decompose
x = w = np.random.normal(size=100)
for t in range(100):
x[t] = x[t-1] + w[t]
result = seasonal_decompose(x, model='additive', freq=1)
result.plot()
pyplot.show()

#پایتون_مالی
#مدلسازی_سری_زمانی
#سری_زمانی

پایتون برای مالی در تلگرام https://www.tg-me.com/ms/Python4Finance/com.python4finance
پایتون برای مالی در بله https://ble.im/ms/Python4Finance/com.python4finance

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Should I buy bitcoin?

“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.

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