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Science
Vo
l.
21
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.
2
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Feb
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//ij
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cs.ia
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An int
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th
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d
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s
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p
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Op
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ata
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k
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@
v
it.a
c.
i
n
1.
I
NT
RO
D
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I
O
N
Secu
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itie
s
ex
c
h
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n
g
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is
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p
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p
lex
in
g
p
o
w
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f
u
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a
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w
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k
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d
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e
r
an
d
th
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co
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p
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ts
.
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th
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f
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t
t
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d
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p
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ex
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v
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iet
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th
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co
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j
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co
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tr
asted
an
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t
h
e
f
ir
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t
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.
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w
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tatio
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th
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ce
o
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b
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d
g
etar
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ce
co
s
ts
.
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h
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f
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n
an
cia
l
ex
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g
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t
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ex
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d
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s
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ar
ea
[1
,
2
]
.
T
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ain
,
a
m
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k
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ch
an
g
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tech
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Sto
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y
p
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ex
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tatio
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[
3
,
4]
.
T
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f
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o
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th
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f
i
n
an
c
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ex
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T
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Ma
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t
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ata
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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J
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N:
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4752
A
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in
tellig
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d
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a
n
s
to
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ma
r
ke
t fo
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s
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g
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s
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d
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p
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K
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ma
r
)
1083
co
s
ts
.
I
r
r
eg
u
lar
w
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k
r
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ts
t
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at
t
h
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ex
p
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tatio
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o
f
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h
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s
to
ck
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s
ts
is
n
'
t
p
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is
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t
icip
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y
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tili
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g
t
h
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au
th
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n
tic
q
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ar
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o
ce
d
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r
e
[
5,
6]
.
Fro
m
th
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an
n
o
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ce
m
e
n
t
g
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v
e
n
b
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t
h
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t
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ar
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as
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r
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en
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th
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a
k
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s
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n
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is
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k
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t
h
at
t
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u
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t
m
en
t
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co
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p
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[
7
,
8]
.
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av
a
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h
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t
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e
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a
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ed
.
W
h
en
th
e
en
d
ea
v
o
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to
f
in
is
h
th
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s
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o
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is
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er
ie
s
m
e
th
o
d
,
r
eg
r
ess
io
n
m
et
h
o
d
,
ex
p
er
t
-
b
ased
m
et
h
o
d
,
an
d
n
eu
r
al
-
n
et
w
o
r
k
-
b
ased
m
eth
o
d
[
9
,
1
0
]
.
T
h
e
f
o
r
ec
ast
tec
h
n
iq
u
es
r
eq
u
ir
e
co
lo
s
s
al
m
e
asu
r
e
o
f
th
e
p
ast
in
f
o
r
m
atio
n
a
n
d
lik
e
w
is
e,
r
eq
u
ir
es
o
r
d
in
ar
y
co
n
v
e
y
an
ce
s
an
d
u
tili
ze
s
th
e
f
ac
t
u
al
s
tr
ate
g
i
es
th
at
t
h
i
n
k
ab
o
u
t
th
e
f
r
a
m
e
w
o
r
k
q
u
alit
ies.
T
h
is
g
ain
s
t
h
e
ex
p
ec
tatio
n
in
te
n
s
e
to
g
r
o
u
n
d
an
d
b
ec
au
s
e
o
f
th
e
co
s
t
th
e
f
o
r
ec
ast
ap
p
ea
r
s
to
n
o
t m
ater
ial
[
1
1
]
.
T
h
e
m
o
s
t
w
id
el
y
r
ec
o
g
n
ized
tech
n
iq
u
es
f
o
r
th
e
f
o
r
ec
ast
in
th
e
b
u
d
g
e
tar
y
m
ar
k
ets
i
n
co
r
p
o
r
ate
th
e
T
im
e
-
ar
r
an
g
e
m
e
n
t i
n
v
esti
g
ati
o
n
in
w
h
ic
h
t
h
e
e
x
p
ec
tatio
n
s
a
n
d
ch
o
ices a
r
e
m
ad
e
p
r
o
f
o
u
n
d
l
y
d
ep
en
d
en
t o
n
t
h
e
ti
m
e
-
ar
r
an
g
e
m
en
t
o
r
th
e
ch
r
o
n
icled
r
e
co
r
d
s
o
f
th
e
s
to
ck
co
s
ts
[
1
2
,
13]
.
Mo
s
t
im
p
o
r
t
an
tl
y
,
t
h
er
e
ar
e
an
en
o
r
m
o
u
s
n
u
m
b
er
o
f
t
h
e
v
ar
ia
b
les
t
h
at
ca
n
'
t
b
e
ac
q
u
ir
ed
i
n
t
h
e
ti
m
e
ar
r
an
g
e
m
e
n
t
h
o
w
e
v
er
th
e
y
h
a
v
e
g
i
g
an
t
ic
ef
f
ec
ts
o
n
th
e
ti
m
e
ar
r
an
g
e
m
e
n
t.
T
h
e
p
r
o
o
f
in
th
e
f
i
n
an
cia
l
ex
ch
a
n
g
e
in
co
r
p
o
r
ates
th
e
ch
a
n
g
e
s
in
th
e
co
s
t
o
f
th
e
s
to
c
k
th
at
ar
e
ch
o
s
e
n
b
y
t
h
e
s
p
ec
u
lato
r
s
[
1
4
]
.
T
h
e
ac
t
iv
ities
o
f
t
h
e
I
n
v
esto
r
s
'
ar
e
esp
ec
iall
y
n
o
n
s
e
n
s
ical
an
d
th
e
y
ar
e
b
asicall
y
r
ea
s
o
n
ab
le
an
d
d
is
ce
r
n
i
n
g
d
ep
en
d
en
t
o
n
t
h
e
s
o
cial
ass
o
ciat
io
n
,
s
o
cial
s
tr
u
ct
u
r
e,
ag
g
r
e
g
ate
co
n
v
ictio
n
s
,
an
d
i
m
p
r
ess
io
n
o
f
t
h
is
p
er
p
lex
i
n
g
f
ie
ld
.
T
h
e
h
u
g
e
is
s
u
e
b
eh
in
d
t
h
e
f
o
r
ec
ast
is
t
h
at
o
n
th
e
o
f
f
c
h
an
ce
th
at
it
is
co
n
ce
i
v
ab
le
to
an
ticip
ate
t
h
e
m
o
d
if
ic
atio
n
s
i
n
t
h
e
co
s
t
o
f
th
e
s
to
ck
u
tili
zi
n
g
an
y
o
f
th
e
ex
tr
a,
g
e
n
er
all
y
p
r
ese
n
t,
an
d
s
i
g
n
i
f
ica
n
t i
n
f
o
r
m
atio
n
,
alo
n
g
s
i
d
e
th
e
ti
m
e
-
ar
r
an
g
e
m
en
t i
n
f
o
r
m
atio
n
[
1
5
]
.
I
m
p
ac
t
o
f
n
e
u
r
al
n
et
w
o
r
k
s
in
s
to
ck
m
ar
k
et
f
o
r
ec
asti
n
g
:
O
n
e
o
f
th
e
i
m
p
r
o
v
e
m
e
n
t
i
n
s
tr
u
m
e
n
ts
u
tili
ze
d
f
o
r
th
e
f
o
r
ec
ast
o
f
th
e
s
ec
u
r
iti
es
ex
ch
a
n
g
e
d
ep
en
d
en
t
o
n
th
e
ti
m
e
s
er
ies
is
th
e
A
NN
t
h
at
h
av
e
th
e
p
r
o
p
en
s
it
y
to
f
o
r
esee
t
h
e
co
v
er
ed
u
p
o
r
co
v
er
ed
an
d
o
b
s
c
u
r
e
r
ec
o
r
d
s
.
T
h
e
m
o
s
t
g
en
er
a
ll
y
u
ti
lize
d
ter
r
ito
r
ies
o
f
t
h
e
s
ec
u
r
itie
s
ex
c
h
a
n
g
e
e
x
p
ec
tati
o
n
u
tili
z
in
g
A
NN
ar
e
zo
n
es
o
f
f
u
n
d
.
I
n
p
r
ac
ticall
y
th
e
s
e
ap
p
licatio
n
s
,
A
NN
s
ass
u
m
e
a
s
i
g
n
if
ican
t
j
o
b
in
lear
n
in
g
th
e
e
x
a
m
p
le
s
o
f
th
e
m
o
n
e
y
r
elate
d
in
f
o
r
m
atio
n
.
W
h
e
n
th
e
i
n
f
o
r
m
atio
n
is
p
r
o
ce
s
s
ed
b
y
ANN,
th
e
s
i
g
n
i
f
ican
t
p
r
o
ce
d
u
r
e
u
tili
ze
d
is
th
e
tr
an
s
f
o
r
m
atio
n
o
f
t
h
e
in
f
o
r
m
atio
n
f
r
o
m
it
s
o
w
n
n
u
m
er
ic
co
n
f
ig
u
r
atio
n
to
t
h
e
n
u
m
er
ic
r
an
g
e
t
h
at
a
n
A
NN
i
s
f
it
f
o
r
m
a
n
ag
i
n
g
s
u
cc
e
s
s
f
u
ll
y
.
A
t
t
h
is
s
ta
g
e,
t
h
e
s
ig
n
i
f
ica
n
ce
o
f
c
h
a
n
g
in
g
t
h
e
in
f
o
r
m
atio
n
s
y
m
b
o
lize
s
t
h
e
lear
n
i
n
g
p
r
o
ce
d
u
r
e
t
h
at
tar
g
et
i
m
p
r
o
v
i
n
g
th
e
g
en
er
aliza
b
ili
t
y
o
f
th
e
s
c
h
o
l
ar
l
y
o
u
tco
m
e
s
.
A
n
o
t
h
er
s
ig
n
i
f
ican
t
A
I
i
n
n
o
v
atio
n
i
s
th
e
Su
p
p
o
r
t
Vec
to
r
R
eg
r
es
s
io
n
an
d
ad
d
itio
n
a
ll
y
,
SVR
ca
lcu
la
tio
n
i
s
u
til
ized
at
an
ticip
ati
n
g
t
h
e
co
s
t
s
o
f
t
h
e
s
ec
u
r
itie
s
e
x
ch
a
n
g
e
[
1
6
,
17]
.
2.
RE
L
AT
E
D
WO
RK
I
n
th
is
p
ap
er
[
1
8
]
au
th
o
r
h
as
ev
alu
a
ted
h
u
n
d
r
ed
s
o
f
tech
n
ic
al
in
d
icato
r
s
an
d
co
n
clu
d
ed
th
at
all
th
e
tech
n
ical
i
n
d
icato
r
s
ar
e
n
o
t
al
w
a
y
s
r
eq
u
ir
ed
.
T
h
e
au
th
o
r
h
a
s
ap
p
lied
P
r
in
cip
al
C
o
m
p
o
n
e
n
t
An
al
y
s
is
(
P
C
A
)
an
d
ap
p
lied
Hid
d
en
Ma
r
k
o
v
Mo
d
el
to
th
e
s
elec
ted
f
ea
tu
r
e
s
an
d
o
b
tain
ed
th
e
r
eq
u
ir
ed
r
esu
lts
.
I
n
th
is
p
ap
er
[
1
9
]
au
th
o
r
h
as
m
o
d
elled
t
h
e
tr
ain
i
n
g
al
g
o
r
ith
m
o
n
th
e
Se
n
s
e
x
I
n
d
ex
b
y
f
o
r
ec
asti
n
g
t
h
e
v
o
la
tili
t
y
in
th
e
I
n
d
ia
n
Sto
ck
Ma
r
k
et
d
ata.
T
h
e
a
u
t
h
o
r
h
a
s
a
p
p
lied
v
ar
io
u
s
G
AR
C
H
tec
h
n
i
q
u
es
a
n
d
f
o
u
n
d
t
h
at
s
y
m
m
etr
ic
G
AR
C
H
p
r
o
v
id
ed
b
etter
r
esu
lts
th
e
n
an
y
o
t
h
er
tech
n
iq
u
e
s
.
He
h
a
s
al
s
o
co
ll
ec
ted
th
e
d
ata
f
r
o
m
1
9
9
6
t
o
2
0
1
0
an
d
ap
p
lied
th
e
f
o
r
ec
asti
n
g
al
g
o
r
it
h
m
.
I
n
th
is
p
ap
er
[
2
0
]
au
th
o
r
h
as
p
r
o
p
o
s
ed
Neu
r
al
Net
w
o
r
k
u
til
izin
g
t
h
e
s
to
c
k
co
s
ts
o
f
I
r
an
f
o
r
a
p
er
io
d
o
f
t
w
o
y
ea
r
s
a
n
d
th
e
co
n
s
eq
u
en
ce
s
o
f
u
s
a
g
e
is
ap
p
ea
r
ed
b
y
le
g
iti
m
ate
c
h
ar
ts
.
As
a
r
es
u
lt,
h
e
d
e
m
o
n
s
tr
ated
g
r
ea
ter
co
n
v
en
ien
ce
o
f
in
f
o
r
m
atio
n
m
i
n
in
g
in
c
h
o
ice
cr
e
atio
n
o
f
f
i
n
an
cia
l
e
x
ch
a
n
g
e
b
y
ch
o
o
s
i
n
g
p
r
o
p
er
en
g
i
n
ee
r
i
n
g
to
t
h
e
Ne
u
r
al
Net
w
o
r
k
an
d
g
e
tti
n
g
r
ea
d
y
in
f
o
r
m
atio
n
u
til
izin
g
r
eq
u
i
r
ed
an
d
ap
p
licab
le
p
r
o
ce
d
u
r
es lastl
y
p
r
ep
ar
in
g
t
h
e
s
y
s
te
m
u
tili
z
in
g
B
ac
k
P
r
o
p
a
g
atio
n
al
g
o
r
ith
m
.
I
n
th
i
s
p
ap
er
au
th
o
r
[
2
1
]
p
r
o
p
o
s
ed
m
o
d
el
is
a
m
i
x
o
f
in
f
o
r
m
atio
n
p
r
ep
r
o
ce
s
s
in
g
t
ec
h
n
iq
u
es,
h
er
ed
itar
y
ca
lcu
latio
n
s
an
d
L
e
v
en
b
er
g
–
Ma
r
q
u
ar
d
t
(
L
M)
ca
lc
u
latio
n
f
o
r
lear
n
i
n
g
f
ee
d
f
o
r
war
d
n
eu
r
al
s
y
s
te
m
s
.
I
n
r
ea
lit
y
it
ad
v
an
ce
s
n
e
u
r
al
s
y
s
te
m
s
tar
ti
n
g
lo
ad
s
f
o
r
t
u
n
i
n
g
w
it
h
L
M
ca
lcu
la
tio
n
b
y
u
tili
zin
g
h
er
ed
itar
y
ca
lcu
latio
n
.
T
h
e
ab
ilit
y
o
f
t
h
e
p
r
o
p
o
s
ed
tech
n
iq
u
e
w
a
s
tr
ied
b
y
ap
p
l
y
i
n
g
it
f
o
r
an
t
icip
atin
g
s
o
m
e
s
to
ck
tr
ad
e
lis
ts
u
tili
ze
d
.
T
h
e
o
u
tco
m
es
s
h
o
w
th
a
t
th
e
p
r
o
p
o
s
ed
ap
p
r
o
ac
h
ca
n
ad
ap
t
to
th
e
ch
a
n
g
e
s
o
f
s
ec
u
r
itie
s
ex
c
h
an
g
e
estee
m
s
an
d
f
u
r
t
h
er
m
o
r
e
y
ie
ld
s
g
r
ea
t f
o
r
ec
ast ac
c
u
r
ac
y
.
I
n
t
h
is
p
ap
er
[
2
2
]
au
th
o
r
p
r
o
p
o
s
ed
m
o
d
el
No
n
l
in
ea
r
I
n
d
ep
en
d
en
t
C
o
m
p
o
n
en
t
An
al
y
s
is
(
NL
I
C
A
)
,
a
n
o
v
el
ele
m
e
n
t
e
x
tr
ac
tio
n
s
y
s
t
e
m
t
h
at
ac
ce
p
t
t
h
e
w
atc
h
ed
b
len
d
s
ar
e
n
o
n
-
d
ir
ec
t
m
i
x
es
o
f
in
ac
t
iv
e
s
o
u
r
ce
s
ig
n
al
s
,
is
u
tili
z
ed
to
d
is
co
v
e
r
f
r
ee
s
o
u
r
ce
s
w
h
e
n
w
atc
h
ed
in
f
o
r
m
at
io
n
ar
e
b
len
d
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[
2
5
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26]
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u
r
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1
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3
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.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esia
n
J
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lec
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n
g
&
C
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m
p
Sci
I
SS
N:
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-
4752
A
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ca
lcu
late
th
e
r
ate
o
f
ch
an
g
e
w
it
h
r
esp
ec
t
to
th
e
p
r
e
v
io
u
s
ti
m
e
in
ter
v
a
ls
,
w
h
ich
i
s
d
en
o
ted
as,
1
0
0
*
a
r
P
r
P
R
w
h
er
e,
P
d
en
o
tes
t
h
e
p
r
ice,
r
P
is
t
h
e
p
r
ice
at
ti
m
e
r
,
an
d
a
r
P
d
en
o
tes
t
h
e
p
r
ice
d
if
f
er
en
ce
o
f
s
t
u
d
y
p
er
io
d
tim
e
r
,
r
esp
ec
tiv
el
y
.
M
o
m
ent
u
m
(
M
O
M
)
:
I
t is th
e
m
ea
s
u
r
e
u
s
ed
to
co
m
p
u
te
th
e
ch
an
g
es i
n
p
r
ice,
w
h
ic
h
is
e
x
p
r
ess
ed
as,
a
r
P
r
P
M
3
.
2
.
Cla
s
s
if
ica
t
io
n
a
lg
o
rit
h
m
o
n t
ec
hn
ica
l
ind
ica
t
o
rs
T
h
ese
all
h
u
g
e
v
ar
iet
y
o
f
tec
h
n
ical
in
d
icato
r
s
ar
e
s
u
b
j
ec
ted
to
th
e
class
i
f
icatio
n
alg
o
r
ith
m
to
ch
o
o
s
e
f
e
w
tec
h
n
ical
in
d
icato
r
s
w
h
ic
h
ca
n
p
er
f
o
r
m
b
etter
o
n
th
e
s
elec
ted
co
m
p
a
n
y
.
C
la
s
s
i
f
icat
io
n
al
g
o
r
ith
m
s
ar
e
v
er
y
ef
f
ec
ti
v
e
to
tes
t
t
h
e
cr
ed
i
b
ilit
y
o
f
th
e
in
d
icato
r
s
an
d
f
i
l
ter
o
u
t
th
e
b
est
o
u
t
o
f
i
t.
T
h
e
s
elec
ted
i
n
d
icato
r
s
ar
e
u
s
ed
as
th
e
i
m
p
o
r
tan
t
f
ea
t
u
r
es
f
o
r
f
u
r
t
h
er
ap
p
ly
in
g
th
e
p
r
ed
ictio
n
alg
o
r
ith
m
.
I
f
th
e
clas
s
if
ier
is
n
o
t
ap
p
lied
th
is
w
ill
lead
to
n
u
m
er
o
u
s
r
ed
u
n
d
a
n
t
f
ea
tu
r
e
s
r
es
u
lti
n
g
in
a
v
e
r
ag
e
p
r
ed
ictio
n
.
So
,
to
i
m
p
r
o
v
is
e
th
e
p
r
ed
ictio
n
r
ate
class
i
f
ier
is
ap
p
lied
an
d
b
est
f
ea
t
u
r
es
ar
e
o
n
l
y
s
u
b
j
ec
ted
to
f
u
r
t
h
er
p
r
o
ce
s
s
.
W
r
ap
p
er
A
p
p
r
o
ac
h
is
in
co
r
p
o
r
ated
to
i
d
en
tify
t
h
e
b
est T
ec
h
n
ical
i
n
d
icato
r
s
s
u
itab
le
f
o
r
p
r
ed
ictio
n
.
3
.
3
.
E
x
plo
ring
L
S
T
M
a
l
g
o
rit
h
m
o
n t
he
cla
s
s
if
ied
da
t
a
T
h
e
s
elec
ted
f
ea
tu
r
es
f
r
o
m
th
e
class
i
f
icatio
n
i
s
g
i
v
e
n
as
an
i
n
p
u
t
to
L
ST
M
Dee
p
lear
n
in
g
alg
o
r
ith
m
.
T
h
e
h
y
p
er
p
ar
am
eter
s
o
f
th
e
L
ST
M
ar
e
m
a
n
a
g
ed
b
y
o
p
ti
m
izatio
n
alg
o
r
it
h
m
s
to
co
r
r
ec
tl
y
tr
ain
t
h
e
L
ST
M.
R
NN
i
s
n
o
t
s
u
itab
le
f
o
r
s
to
ck
m
ar
k
et
p
r
ed
ictio
n
is
b
ec
a
u
s
e
o
f
it
s
s
h
o
r
t
m
e
m
o
r
y
r
e
m
e
m
b
er
i
n
g
p
o
w
er
.
L
ST
M
is
k
n
o
w
n
f
o
r
r
e
m
e
m
b
er
i
n
g
f
o
r
lo
n
g
d
u
r
atio
n
o
f
ti
m
e,
th
i
s
i
m
p
o
r
tan
t
f
ea
t
u
r
e
o
f
L
ST
M
is
v
er
y
m
u
c
h
ap
p
licab
le
in
s
to
ck
m
ar
k
et.
Sto
ck
m
ar
k
et
v
alu
es
ar
e
also
ti
m
e
s
er
ies
b
as
ed
s
in
ce
th
e
p
r
ev
io
u
s
d
ay
s
s
to
ck
v
al
u
es
ar
e
tak
e
n
in
to
co
n
s
id
er
atio
n
f
o
r
f
o
r
ec
a
s
tin
g
t
h
e
f
u
t
u
r
e
p
r
ices.
H
y
p
e
r
p
ar
am
eter
s
o
f
L
ST
M
is
als
o
tr
ain
ed
w
it
h
t
h
e
o
p
tim
izatio
n
tech
n
iq
u
es
to
f
u
r
th
er
i
m
p
r
o
v
e
t
h
e
p
r
ice
m
o
v
e
m
en
t
f
o
r
ec
asti
n
g
.
I
n
s
to
ck
m
ar
k
et
th
e
f
o
r
ec
ast
in
g
is
ba
s
ed
o
n
s
h
o
r
t
ter
m
a
n
d
lo
n
g
ter
m
,
s
a
m
e
ter
m
s
ar
e
co
in
ed
u
s
in
g
t
h
e
L
ST
M
to
f
it
th
e
r
eq
u
ir
e
m
e
n
t
s
.
Op
ti
m
izatio
n
alg
o
r
it
h
m
a
ls
o
h
elp
s
to
s
o
lv
e
th
e
s
p
ar
s
e
g
r
ad
ien
t o
f
Dee
p
L
ST
M.
4.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
4
.
1
.
Da
t
a
s
et
1
As
ex
p
lain
ed
i
n
th
e
ab
o
v
e
s
ec
tio
n
th
e
d
ata
o
f
s
to
ck
m
ar
k
et
is
av
ailab
le
as
s
h
o
w
n
i
n
T
ab
le
1
in
m
u
ltip
le
f
o
r
m
ats
s
u
c
h
as
Dail
y
,
Mo
n
t
h
l
y
a
n
d
Yea
r
l
y
.
Fo
r
th
e
ex
p
er
i
m
e
n
t
w
e
h
a
v
e
tak
e
n
t
h
e
I
n
f
o
s
y
s
d
ata
f
r
o
m
NSE
an
d
B
SE.
T
h
e
d
ata
i
s
c
o
llected
f
r
o
m
1
s
t
J
an
2
0
1
8
to
3
0
th
No
v
2
0
1
9
s
h
o
w
n
i
n
T
ab
le
1
is
d
ail
y
s
to
ck
p
r
ice
h
av
i
n
g
v
al
u
es o
f
Op
e
n
,
Hig
h
,
L
o
w
,
C
lo
s
e,
A
d
j
C
lo
s
e
an
d
Vo
lu
m
e
.
T
ab
le
1
.
I
n
f
o
s
y
s
s
to
ck
m
ar
k
et
h
is
to
r
ical
d
ata
(
s
o
u
r
ce
:
y
ah
o
o
f
i
n
an
ce
)
D
a
t
e
O
p
e
n
H
i
g
h
L
o
w
C
l
o
se
A
d
j
C
l
o
se
V
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l
u
me
01
-
01
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0
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s
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