Trading with opensource tools, two years later

Tradingwith open source tools two years later Chia-liang Kao clkao@clkao.org OSDC.TW 2011 Taipei

Trading SystemTrading system, also known as algorithmic trading, is the use ofcomputer programs for entering trading orders with the computeralgorithm deciding on certain aspects of the order such as thetiming, price, quantity of order Even with dice

The OSDC Trading System (in 2009 talk)

Risk = controlled by youProﬁt = probabilities

Automated Trading Components quote strategy order (via broker)

bayen2010 results 40.15% net, end of year (Not with dice!)

Architecture 2009

quotememcached strategy GeniusTrader jsonrpc order pos: +1, -1, 0 (via broker)

Architecture 2011

quote monitoring quote rabbitmq Runs on Amazon EC2 position sizing anymq strategy1 (ap-southeast-1) strategy2 TradeSpring order ensuring jsonrpc order (via broker)system monitoring emergency fallback

40.15% net, end of year 95.71% gross -21.85% cost -33.71% slippage avg: -2.5 in 2010 avg: -0.5 in 2011 moved to EC2moved to AnyMQ

Quote• Source • Commercial Quote services • Win32::DDE• AnyMQ• AnyEvent::Monitor• Price AGgregation Manager: serve history and manages real time quotes

Source• was running on MicroXP in VirtualBox• now on EC2 win32 instances• Republish to rabbitmq with AnyMQ

AnyMQ• inspired by Tatsumaki::MessageQueue• Use Moose traits• Available on CPAN• can talk to amqp servers like rabbitmq

AnyMQmy $bus = AnyMQ->new;my $topic = $bus->topic("Foo");my $sub = $bus->new_listener($topic);$sub->poll(sub { my $msg = shift; })$topic->publish($msg)

AnyMQ with AMQPmy $bus = AnyMQ->new_with_traits ( traits => [ ‘AMQP’], # host => ..., port => ..);my $topic = $bus->topic("Foo");my $sub = $bus->new_listener($topic);$sub->poll(sub { my $msg = shift; })$topic->publish($msg)

AnyMQ with AMQPmy $bus = AnyMQ->new_with_traits my $bus = AnyMQ->new_with_traits ( traits => [ ‘AMQP’], ( traits => [ ‘AMQP’], # host => ..., port => ..); # host => ..., port => ..);my $topic = $bus->topic("Foo"); my $topic = $bus->topic("Foo");my $sub = $bus->new_listener($topic); my $sub = $bus->new_listener($topic);$sub->poll(sub { my $msg = shift; }) $sub->poll(sub { my $msg = shift; })$topic->publish($msg) $topic->publish($msg) AMQP Server my $bus = AnyMQ->new_with_traits my $bus = AnyMQ->new_with_traits ( traits => [ ‘AMQP’], ( traits => [ ‘AMQP’], # host => ..., port => ..); # host => ..., port => ..); my $topic = $bus->topic("Foo"); my $topic = $bus->topic("Foo"); my $sub = $bus->new_listener($topic); my $sub = $bus->new_listener($topic); $sub->poll(sub { my $msg = shift; }) $sub->poll(sub { my $msg = shift; }) $topic->publish($msg) $topic->publish($msg)

Service monitoring• Is it running?• Can we ﬁx it when it fails?

AnyEvent::Monitormy $foo = AnyEvent::Monitor->new( name => foo, on_softfail => sub { warn "==> service fail: $_[1]"; }, on_hardfail => sub { my ($resume_check); warn "==> service fail, should attempt to do something to fix it: $_[1]"; $resume_check->(60); # resume checking after 60 secs }, on_resume => sub { my ($prev, $outage) = @_; if ($prev) { warn "service resumed from: $prev, total outage: $outage secs"; } });

PAGM• a daemon listening on rabbitmq topic• tells client where to look for aggregated price ticks• answers historical price request: { type: ‘pagm.history’, reply: ‘client-name’, code: ‘XTAF.TX’, timeframe: ‘5min’, count: 180 }

Strategy• the core that decides: • when to buy/sell? • how much to buy/sell? • when to stop loss, take proﬁt?• Finance::GeniusTrader• TradeSpring

Finance::GeniusTrader • DSL for trade systemsSY:Generic {S:G:Above {I:Random 6} 2} {S:G:Below {I:Random 6} 3} |TF:Generic {S:G:CrossOverUp {I:Hour} 850} {S:G:CrossOverUp {I:Hour} 850} |TF:MaxOpenTrades 1 |CS:DayTrade • too verbose • designed for backtesting • didn’t support live trading by default

TradeSpring!

(Second largest proﬁt this year was on 3/15, went to Japan Red Cross Society)

TradeSpring• New strategy runner engine• backtest code = live code• supports complex order types • attached, OCA, trail stop, etc• Moose based• More abstracted• release this year?

TradeSpringmethod detect_direction { for (1,-1) { local $self->{direction} = $_; if ($self->bt($self->better, $self->better($self->i-1)) && $self->bt($self->better($self->i-1), $self->better($self->i-2)) && $self->bt($self->close, $self->close( $self->i-1)) && $self->bt($self->close($self->i-1), $self->close( $self->i-2))) { return $self->{direction}; } } dir = -1} better dir = 1

TradeSpring examplesmethod detect_direction { for (1,-1) { local $self->{direction} = $_; if ($->bt($->better, $->better($->i-1)) && $->bt($->better($->i-1), $->better($->i-2)) && $->bt($->close, $->close( $->i-1)) && $->bt($->close( $->i-1), $->close( $->i-2))) { return $self->{direction}; } }} invoker.pm on CPAN

TradeSpring Order$self->new_bracket_order( { dir => $direction, type => lmt, price => $self->better($self->i-1), entry qty => $self->position_qty }, { price => $self->worse($self->i-1) }, stop { type => mkt, price => 0, timed => $self->order_timed(13, 43, 00) }); exit

EC2• multiple az • ap-southeast-1 latency: 60ms • ap-northeast-1 latency: 40ms • (to broker endpoint)• multiple region

Net::Amazon::EC2• cloud-init, user-datatn1: persistent: 1 ami_name: tn-dev6 type: m1.small security_group: default key_name: clec availability_zone: ap-southeast-1a

Gangliaec2 costs: ~US$100 / month

Analysis•R• protovis• ask interesting questions and check your records!

Trade result breakdown by time and day of week

2011 results YOD ? ?10% of proﬁt will go to TPF

PROFIT!!

Questions? clkao@clkao.org

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Trading with opensource tools, two years later

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