# Copyright 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2011 Kevin Ryde
# This file is part of Chart.
#
# Chart is free software; you can redistribute it and/or modify it under the
# terms of the GNU General Public License as published by the Free Software
# Foundation; either version 3, or (at your option) any later version.
#
# Chart is distributed in the hope that it will be useful, but WITHOUT ANY
# WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
# FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
# details.
#
# You should have received a copy of the GNU General Public License along
# with Chart. If not, see <http://www.gnu.org/licenses/>.
package
App::Chart::Math::Moving::EMA;
require
5;
use
strict;
use
warnings;
use
Carp;
use
POSIX ();
@ISA
= (
'App::Chart::Math::Moving'
);
[ {
name
=>
'N'
,
share_key
=>
'ema_N'
,
type
=>
'float'
,
minimum
=> 1,
default
=> 20,
decimals
=> 0,
step
=> 1,
},
];
sub
warmup_omitted_fraction {
my
(
$self
) =
@_
;
return
$self
->{
'warmup_omitted_fraction'
} || 0.001;
}
sub
new {
my
$class
=
shift
;
my
$self
= SUPER::new (
@_
);
$self
->{
'f'
} =
$self
->N_to_f (
$self
->{
'N'
});
$self
->{
'alpha'
} =
$self
->N_to_alpha (
$self
->{
'N'
});
$self
->{
'sum'
} = 0;
$self
->{
'weight'
} = 0;
return
$self
;
}
sub
next
{
my
(
$self
,
$value
) =
@_
;
# $sum is v0 + v1*f + v2*f^2 + v3*f^3 + ... + vk*f^k, for as many $value's
# as so far entered
#
# $weight is the corresponding 1 + f + f^2 + ... + f^k. This approaches
# 1/(1-f), but on the first few outputs it's much smaller, so must
# calculate it explicitly.
return
(
$self
->{
'sum'
}
=
$self
->{
'sum'
} *
$self
->{
'f'
} +
$value
*
$self
->{
'alpha'
})
/ (
$self
->{
'weight'
}
=
$self
->{
'weight'
} *
$self
->{
'f'
} +
$self
->{
'alpha'
});
}
sub
warmup_count {
my
(
$self
) =
@_
;
if
(
$self
->{
'N'
} <= 1) {
return
0;
}
else
{
return
_ema_omitted_search (
$self
->{
'f'
},
$self
->warmup_omitted_fraction) - 1 ;
}
}
# _ema_omitted_search() returns the number of terms t needed in an EMA to
# have an omitted part <= TARGET, where target is a proportion between 0 and
# 1. This means
#
# Omitted(t-1) <= target
# f^t <= target
# t >= log(target) / log(f)
#
# Can have f==0 when count==1 (a degenerate EMA, which just follows the
# given points exactly). log(0) isn't supported on guile 1.6, hence the
# special case.
#
# Actually log(f) approaches -2/N as N increases, but it's easy enough to
# do the calculation exactly.
#
sub
_ema_omitted_search {
my
(
$f
,
$target
) =
@_
;
if
(
$f
== 0) {
return
0;
}
else
{
return
POSIX::ceil (
log
(
$target
) /
log
(
$f
));
}
}
# ema_omitted() returns the fraction (between 0 and 1) of weight omitted by
# stopping an EMA at the f^k term, which means the first k+1 terms.
#
# The weight, out of a total 1, in those first terms
#
# W(k) = (1-f) (1 + f + f^2 + ... + f^k)
#
# multiplying through makes the middle terms cancel, leaving
#
# W(k) = 1 - f^(k+1)
#
# The omitted part is then O = 1-W,
#
# Omitted(k) = f^(k+1)
#
sub
ema_omitted {
my
(
$f
,
$k
) =
@_
;
return
$f
** (
$k
+ 1);
}
# alpha=2/(N+1)
sub
N_to_alpha {
my
(
$class
,
$N
) =
@_
;
return
2 / (
$N
+ 1);
}
# f=1-2/(N+1), rearranged to f=(N-1)/(N+1).
sub
N_to_f {
my
(
$class
,
$N
) =
@_
;
return
(
$N
- 1) / (
$N
+ 1);
}
# N = 2/alpha - 1
sub
alpha_to_N {
my
(
$class
,
$alpha
) =
@_
;
return
2 /
$alpha
- 1;
}
# convert a $N in J. Welles Wilder's reckoning to one in the standard form
# Wilder alpha=1/W, alpha=2/(N+1), so N=2*W-1
sub
N_from_Wilder_N {
my
(
$class
,
$W
) =
@_
;
return
2
*$W
- 1;
}
sub
N_to_Wilder_N {
my
(
$class
,
$N
) =
@_
;
return
(
$N
+1)/2;
}
1;
__END__
# =head1 NAME
#
# App::Chart::Series::Derived::EMA -- exponential moving average
#
# =head1 SYNOPSIS
#
# my $series = $parent->EMA($N);
#
# =head1 DESCRIPTION
#
# ...
#
# =head1 SEE ALSO
#
# L<App::Chart::Math::Moving>, L<App::Chart::Math::Moving::SMA>
#
# =cut