{"action":"created","comment":{"url":"https://api.github.com/repos/binary-com/perl-Performance-Probability/pulls/comments/65049410","id":65049410,"diff_hunk":"@@ -0,0 +1,306 @@\n+package Performance::Probability;\n+\n+use 5.010;\n+use strict;\n+use warnings;\n+use Moo;\n+\n+use Date::Utility;\n+use Math::BivariateCDF;\n+use Math::Gauss::XS;\n+\n+our $VERSION = '0.01_1';\n+\n+=head1 NAME\n+\n+Performance::Probability - The performance probability is a likelihood measure of a client reaching his/her current P&L. \n+\n+=head1 VERSION\n+\n+0.01_1\n+\n+=head1 SYNOPSYS\n+\n+=head1 DESCRIPTION\n+\n+=cut\n+\n+=head1 ATTRIBUTES\n+\n+=head2 payout\n+\n+Payout \n+\n+=cut\n+\n+has payout => (\n+    is       => 'ro',\n+    required => 1,\n+);\n+\n+=head2 bought_price\n+\n+Bought price\n+\n+=cut\n+\n+has bought_price => (\n+    is       => 'ro',\n+    required => 1,\n+);\n+\n+=head2 pnl\n+\n+PnL\n+\n+=cut\n+\n+has pnl => (\n+    is       => 'ro',\n+    required => 1,\n+);\n+\n+=head2 type\n+\n+Type of contract. Call or Put.\n+\n+=cut\n+\n+has type => (\n+    is       => 'ro',\n+    required => 1,\n+);\n+\n+=head2 underlying\n+\n+Underlying asset\n+\n+=cut\n+\n+has underlying => (\n+    is       => 'ro',\n+    required => 1,\n+);\n+\n+=head2 start_time\n+\n+Contract's start time.\n+\n+=cut\n+\n+has start_time => (\n+    is       => 'ro',\n+    required => 1,\n+);\n+\n+=head2 sell_time\n+\n+Contract's sell time.\n+\n+=cut\n+\n+has sell_time => (\n+    is       => 'ro',\n+    required => 1,\n+);\n+\n+=item B<_w_k>\n+\n+Profit in case of winning. ( Payout minus bought price ).\n+\n+=cut\n+\n+has _wk => (\n+    is      => 'rw',\n+    lazy    => 1,\n+    builder => '_build__wk',\n+);\n+\n+sub _build__wk {\n+    my $self = shift;\n+\n+    my @w_k;\n+\n+    my $i;\n+\n+    for ($i = 0; $i < @{$self->payout}; ++$i) {\n+        my $tmp_w_k = $self->payout->[$i] - $self->bought_price->[$i];\n+        push @w_k, $tmp_w_k;\n+    }\n+\n+    return \\@w_k;\n+}\n+\n+=item B<_l_k>\n+\n+Loss in case of losing. (Minus bought price).\n+\n+=cut\n+\n+has _lk => (\n+    is      => 'rw',\n+    lazy    => 1,\n+    builder => '_build__lk',\n+);\n+\n+sub _build__lk {\n+    my $self = shift;\n+    my @l_k;\n+\n+    my $i;\n+\n+    for ($i = 0; $i < @{$self->bought_price}; ++$i) {\n+        push @l_k, 0 - $self->bought_price->[$i];\n+    }\n+\n+    return \\@l_k;\n+}\n+\n+=item B<_p_k>\n+\n+Winning probability. ( Bought price / Payout ).\n+\n+=cut\n+\n+has _pk => (\n+    is      => 'rw',\n+    lazy    => 1,\n+    builder => '_build__pk',\n+);\n+\n+sub _build__pk {\n+    my $self = shift;\n+    my @p_k;\n+\n+    my $i;\n+\n+    for ($i = 0; $i < @{$self->bought_price}; ++$i) {\n+        my $tmp_pk = $self->bought_price->[$i] / $self->payout->[$i];\n+        push @p_k, $tmp_pk;\n+    }\n+\n+    return \\@p_k;\n+}\n+\n+=item B<_mean>\n+\n+Sigma( profit * winning probability + loss * losing probability ).\n+\n+=cut\n+\n+sub _mean {\n+    my $self = shift;\n+\n+    my $i;\n+    my $sum = 0;\n+\n+    for ($i = 0; $i < @{$self->_wk}; ++$i) {\n+\n+        $sum = $sum + ($self->_wk->[$i] * $self->_pk->[$i]) + ($self->_lk->[$i] * (1 - $self->_pk->[$i]));\n+    }\n+\n+    return $sum;\n+}\n+\n+=item B<_variance_x_square>\n+\n+Sigma( (profit**2) * winning probability + (loss**2) * losing probability ).\n+\n+=cut\n+\n+sub _variance_x_square {\n+    my $self = shift;\n+\n+    my $sum = 0;\n+    my $i;\n+\n+    for ($i = 0; $i < @{$self->_wk}; ++$i) {\n+        $sum = $sum + (($self->_wk->[$i]**2) * $self->_pk->[$i]) + (($self->_lk->[$i]**2) * (1 - $self->_pk->[$i]));\n+    }\n+\n+    return $sum;\n+}\n+\n+=item B<_covariance>\n+\n+Sum of Covariance(i,j). See the documentation for the details.\n+\n+=cut\n+\n+sub _covariance {\n+    my $self = shift;\n+\n+    my ($i, $j);\n+    my $covariance = 0;\n+\n+    for ($i = 0; $i < @{$self->start_time}; ++$i) {\n+        for ($j = 0; $j < @{$self->sell_time}; ++$j) {\n+            if ($i != $j and $self->underlying->[$i] eq $self->underlying->[$j]) {\n+\n+                #check for time overlap.\n+                my ($start_i, $start_j, $sell_i, $sell_j);\n+                $start_i = $self->start_time->[$i];\n+                $start_j = $self->start_time->[$j];\n+                $sell_i  = $self->sell_time->[$i];\n+                $sell_j  = $self->sell_time->[$j];\n+\n+                if ($start_j->is_after($start_i) and $start_j->is_before($sell_i)) {\n+                    #calculate a, b and c interval. please see the documentation for details\n+                    #of a, b and c.\n+                    my $a_interval = $start_j->epoch - $start_i->epoch;\n+                    my $b_interval = $sell_i->epoch - $start_j->epoch;\n+                    my $c_interval = $sell_j->epoch - $sell_i->epoch;\n+\n+                    if ($c_interval < 0) {\n+                        $c_interval = 0 - $c_interval;\n+                        $b_interval = $sell_j->epoch - $start_i->epoch;\n+                    }\n+\n+                    my $i_strike = 0.0 - Math::Gauss::XS::inv_cdf($self->_pk->[$i]);\n+                    my $j_strike = 0.0 - Math::Gauss::XS::inv_cdf($self->_pk->[$j]);\n+\n+                    my $corr_ij = $b_interval / (sqrt($a_interval + $b_interval) * sqrt($b_interval + $c_interval));\n+\n+                    if ($self->type->[$i] ne $self->type->[$j]) {\n+                        $corr_ij = -1 * $corr_ij;\n+                    }\n+\n+                    my $p_ij = Math::BivariateCDF::bivnor($i_strike, $j_strike, $corr_ij);\n+\n+                    my $covariance_ij =\n+                        ($p_ij - $self->_pk->[$i] * $self->_pk->[$j]) * ($self->_wk->[$i] - $self->_lk->[$i]) * ($self->_wk->[$j] - $self->_lk->[$j]);\n+\n+                    $covariance = $covariance + $covariance_ij;\n+\n+                    my $time_i = $start_i->datetime_yyyymmdd_hhmmss;\n+                    my $time_j = $start_j->datetime_yyyymmdd_hhmmss;\n+                }\n+            }\n+        }\n+    }\n+\n+    return $covariance;\n+}\n+\n+=item B<get_performance_probability>\n+\n+Calculate performance probability ( modified sharpe ratio );\n+\n+=cut\n+\n+sub get_performance_probability {","path":"lib/Performance/Probability.pm","position":291,"original_position":291,"commit_id":"db2b2bf1ea3a8df48309e1425b9933827497f486","original_commit_id":"db2b2bf1ea3a8df48309e1425b9933827497f486","user":{"login":"basiliscos","id":3630048,"avatar_url":"https://avatars.githubusercontent.com/u/3630048?v=3","gravatar_id":"","url":"https://api.github.com/users/basiliscos","html_url":"https://github.com/basiliscos","followers_url":"https://api.github.com/users/basiliscos/followers","following_url":"https://api.github.com/users/basiliscos/following{/other_user}","gists_url":"https://api.github.com/users/basiliscos/gists{/gist_id}","starred_url":"https://api.github.com/users/basiliscos/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/basiliscos/subscriptions","organizations_url":"https://api.github.com/users/basiliscos/orgs","repos_url":"https://api.github.com/users/basiliscos/repos","events_url":"https://api.github.com/users/basiliscos/events{/privacy}","received_events_url":"https://api.github.com/users/basiliscos/received_events","type":"User","site_admin":false},"body":"I think it should be attribute, i.e. cache the value. Just for similarity","created_at":"2016-05-30T09:49:54Z","updated_at":"2016-05-30T09:49:54Z","html_url":"https://github.com/binary-com/perl-Performance-Probability/pull/1#discussion_r65049410","pull_request_url":"https://api.github.com/repos/binary-com/perl-Performance-Probability/pulls/1","_links":{"self":{"href":"https://api.github.com/repos/binary-com/perl-Performance-Probability/pulls/comments/65049410"},"html":{"href":"https://github.com/binary-com/perl-Performance-Probability/pull/1#discussion_r65049410"},"pull_request":{"href":"https://api.github.com/repos/binary-com/perl-Performance-Probability/pulls/1"}}},"pull_request":{"url":"https://api.github.com/repos/binary-com/perl-Performance-Probability/pulls/1","id":70995419,"html_url":"https://github.com/binary-com/perl-Performance-Probability/pull/1","diff_url":"https://github.com/binary-com/perl-Performance-Probability/pull/1.diff","patch_url":"https://github.com/binary-com/perl-Performance-Probability/pull/1.patch","issue_url":"https://api.github.com/repos/binary-com/perl-Performance-Probability/issues/1","number":1,"state":"open","locked":false,"title":"Shahrizal/modified 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