This first, basic version just plots a candlestick chart with blue for up bars ( close higher than open ) or red for down bars ( close less than open ).
## Copyright (C) 2017 dekalog
##
## This program 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 of the License, or
## (at your option) any later version.
##
## This program 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 this program. If not, see .
## -*- texinfo -*-
## @deftypefn {} {@var{retval} =} candles (@var{O}, @var{H}, @var{L}, @var{C})
##
## Takes O, H, L and C inputs and plots a candlestick chart, with blue bars for
## close up days and red bars for close down days.
##
## @seealso{}
## @end deftypefn
## Author: dekalog
## Created: 2017-11-16
function [retval] = candles ( open , high , low , close )
if ( nargin != 4 )
error ( "Not enough input arguments. Should be OHLC vectors." ) ;
endif
wicks = high .- low ;
body = close .- open ;
up_down = sign( body ) ;
hold on ;
% plot the wicks
x = ( 1 : length( close ) ) ; % the x-axis
idx = x ;
high_nan = nan( size( high ) ) ; high_nan( idx ) = high ; % highs
low_nan = nan( size( low ) ) ; low_nan( idx ) = low ; % lows
x = reshape( [ x ; x ; nan( size( x ) ) ] , [] , 1 ) ;
y = reshape( [ high_nan(:)' ; low_nan(:)' ; nan( 1 , length( high ) ) ] , [] , 1 ) ;
plot( x , y , "k" , 'linewidth' , 2 ) ; % plot black wicks
% plot the up bars
x = ( 1 : length( high ) ) ; % the x-axis
idx = ( up_down == 1 ) ; idx = find( idx ) ; % index by condition
high_nan = nan( size( high ) ) ; high_nan( idx ) = close( idx ) ; % index closes > opens
low_nan = nan( size( low ) ) ; low_nan( idx ) = open( idx ) ; % index opens < closes
x = reshape( [ x ; x ; nan( size( x ) ) ] , [] , 1 ) ;
y = reshape( [ high_nan(:)' ; low_nan(:)' ; nan( 1 , length( high ) ) ] , [] , 1 ) ;
plot( x , y , "b" , 'linewidth' , 20 ) ; % plot blue up bars
% plot the down bars
x = ( 1 : length( high ) ) ; % the x-axis
idx = ( up_down == -1 ) ; idx = find( idx ) ; % index by condition
high_nan = nan( size( high ) ) ; high_nan( idx ) = open( idx ) ; % index opens > closes
low_nan = nan( size( low ) ) ; low_nan( idx ) = close( idx ) ; % index closes < opens
x = reshape( [ x ; x ; nan( size( x ) ) ] , [] , 1 ) ;
y = reshape( [ high_nan(:)' ; low_nan(:)' ; nan( 1 , length( high ) ) ] , [] , 1 ) ;
plot( x , y , "r" , 'linewidth' , 20 ) ; % plot red down bars
hold off ;
endfunction
## Copyright (C) 2017 dekalog
##
## This program 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 of the License, or
## (at your option) any later version.
##
## This program 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 this program. If not, see .
## -*- texinfo -*-
## @deftypefn {} {@var{retval} =} candles (@var{O}, @var{H}, @var{L}, @var{C}, @var{TC})
##
## Takes OHLC inputs and a TC vector and plots a candlestick chart, with up bars coloured
## cyan or blue and down bars magenta or red, dependent on value contained in the
## condition vector TC ( values == 1 or == 2 ).
##
## @seealso{}
## @end deftypefn
## Author: dekalog
## Created: 2017-11-16
function [retval] = candles_tc ( open , high , low , close , tc )
if ( nargin != 5 )
error ( "Not enough input arguments. Should be OHLC and a condition vector" ) ;
endif
if ( length( unique( tc ) ) > 3 )
error ( "Too many conditions in condition vector. Maximum of 3 conditions allowed." ) ;
endif
wicks = high .- low ;
body = close .- open ;
up_down = sign( body ) ;
up_colours = "cbg" ;
down_colours = "mrk" ;
candle_body_width = 20 ;
hold on ;
% plot the wicks
x = ( 1 : length( close ) ) ; % the x-axis
idx = x ;
high_nan = nan( size( high ) ) ; high_nan( idx ) = high ; % highs
low_nan = nan( size( low ) ) ; low_nan( idx ) = low ; % lows
x = reshape( [ x ; x ; nan( size( x ) ) ] , [] , 1 ) ;
y = reshape( [ high_nan(:)' ; low_nan(:)' ; nan( 1 , length( high ) ) ] , [] , 1 ) ;
plot( x , y , "k" , 'linewidth' , 2 ) ; % plot black wicks
for ii = 1 : length( unique( tc ) )
% plot the up bars for ii condition
x = ( 1 : length( high ) ) ; % the x-axis
idx = ( up_down == 1 ) .* ( tc == ii ) ; idx = find( idx ) ; % index by condition
high_nan = nan( size( high ) ) ; high_nan( idx ) = close( idx ) ; % index closes > opens
low_nan = nan( size( low ) ) ; low_nan( idx ) = open( idx ) ; % index opens < closes
x = reshape( [ x ; x ; nan( size( x ) ) ] , [] , 1 ) ;
y = reshape( [ high_nan(:)' ; low_nan(:)' ; nan( 1 , length( high ) ) ] , [] , 1 ) ;
plot( x , y , up_colours( ii ) , 'linewidth' , candle_body_width ) ;
% plot the down bars for ii condition
x = ( 1 : length( high ) ) ; % the x-axis
idx = ( up_down == -1 ) .* ( tc == ii ) ; idx = find( idx ) ; % index by condition
high_nan = nan( size( high ) ) ; high_nan( idx ) = open( idx ) ; % index opens > closes
low_nan = nan( size( low ) ) ; low_nan( idx ) = close( idx ) ; % index closes < opens
x = reshape( [ x ; x ; nan( size( x ) ) ] , [] , 1 ) ;
y = reshape( [ high_nan(:)' ; low_nan(:)' ; nan( 1 , length( high ) ) ] , [] , 1 ) ;
plot( x , y , down_colours( ii ) , 'linewidth' , candle_body_width ) ;
endfor
hold off ;
endfunction
The horizontal black lines are not part of the basic plot function but are added later by use of the "hold" function. These lines are the "Tokyo Channel," i.e. the high and low of the Asian session extended into the immediately following London - New York session.
I hope readers who use Octave will find these plotting functions useful.