March 2022
Beginner to intermediate
796 pages
18h 14m
Korean
Content preview from 파이썬을 활용한 금융 분석(2판) : 파이썬의 기초부터 금융공학, 머신러닝, 퀀트 분석, 매매 시스템 구현까지
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12
장
확률 과정
print('%14s %14.3f %14.3f' % ('max', sta1[1][1], sta2[1][1]))
print('%14s %14.3f %14.3f' % ('mean', sta1[2], sta2[2]))
print('%14s %14.3f %14.3f' % ('std', np.sqrt(sta1[3]),
np.sqrt(sta2[3])))
print('%14s %14.3f %14.3f' % ('skew', sta1[4], sta2[4]))
print('%14s %14.3f %14.3f' % ('kurtosis', sta1[5], sta2[5]))
In [18]: print_statistics(ST1, ST2)
statistic data set 1 data set 2
---------------------------------------------
size 10000.000 10000.000
min 32.327 28.230
max 414.825 409.110
mean 110.730 110.431
std 40.300 39.878
skew 1.122 1.115
kurtosis 2.438 2.217
➊
scs.describe( )
함수는 데이터에 대한 중요 통계를 반환
두 시뮬레이션 결과의 통계치가 분명히 유사하다. 약간의 차는 ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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