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An open source OEMS, and intraday algorithmic trading platform in modern C++ for professional quant

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OpenTrade

OpenTrade Logo

OpenTrade is an open source OEMS, and algorithmic trading platform, designed for simplicity, flexibility and performance.

Demo


Features:

  • Strictly follows Google C++ Style Guide
  • Multi-level account functionality
  • Super simple API interfaces for market data adapter (C++), exchange connectivity (C++) and execution/alpha algo (C++ and Python)
  • REST and web socket interface
  • Multi-source market data support, e.g., different FX pricing sources
  • Pre-trade risk limits on multi-level accounts
  • Post-trade risk integrated with OpenRisk
  • Edit and test Python algo online
  • Backtest
  • Multi-theme web frontend
  • Fully thread-safe design, everything can be modified during runtime, e.g., reload symbol list, modify tick size table, lot-size, exchange timezone and trading/break period etc.
  • Built-in execution simulator
  • Simple configuration
  • Internal cross
  • Execution Optimization Framework
  • Order Aggregation
  • Customized indicator extension
  • Smart Route and FX aggregation
  • Support both PostgreSQL and Sqlite3

Algo Editor

OpenRisk


Steps to run on Ubuntu 18.04 or later

  • Compile

    • Prepare dev environment.
    sudo apt update \
    && sudo apt install -y \
      g++  \
      make \
      cmake \
      clang-format \
      clang \
      python \
      python3-dev \
      vim \
      exuberant-ctags \
      git \
      wget \
      libssl-dev \
      libboost-program-options-dev \
      libboost-system-dev \
      libboost-date-time-dev \
      libboost-filesystem-dev \
      libboost-iostreams-dev \
      libboost-python-dev \
      libsoci-dev \
      libpq-dev \
      sqlite3 \
      libsqlite3-dev \
      libquickfix-dev \
      libtbb-dev \
      liblog4cxx-dev
    • Build
    git clone https://github.com/opentradesolutions/opentrade
    cd opentrade
    make debug
  • Setup database

    • Sqlite3
    wget https://github.com/opentradesolutions/data/raw/master/test.sqlite3
    • Or PostgreSQL
    sudo apt remove --purge postgres*
    sudo apt autoremove
    sudo apt install -y postgresql-10 || sudo apt install -y postgresql-11
    sudo apt install -y postgresql-contrib postgresql-client
    # add data to database as user 'postgres'
    sudo su postgres;
    cd;
    wget https://github.com/opentradesolutions/data/raw/master/opentrade-pg_dumpall.sql
    psql -f opentrade-pg_dumpall.sql
    exit # become yourself again
  • Run opentrade

    • Download tick data files
    cd opentrade
    wget https://raw.githubusercontent.com/opentradesolutions/data/master/bbgids.txt
    wget https://github.com/opentradesolutions/data/raw/master/ticks.txt.xz.part1
    wget https://github.com/opentradesolutions/data/raw/master/ticks.txt.xz.part2
    cat ticks.txt.xz.part1 ticks.txt.xz.part2 > ticks.txt.xz
    xz -d ticks.txt.xz
    • Run
    # please modify opentrade.conf to use postgres if setup database with PostgreSQL
    cp opentrade.conf-example opentrade.conf
    ./opentrade
  • Open Web UI

    # username/password: test/test
    http://localhost:9111
    

CentOS 8

Please checkout install_centos.sh

Internal Latency

make test-latency

Backtest

  • Only BBO support currently, full orderbook support will come soon
  • It is up to you to generate report
make args=-j backtest-debug
wget -O ticks.tgz https://www.dropbox.com/s/maikrn2qbz8hxba/ticks.tgz?dl=1; tar xzf ticks.tgz
./build/backtest-debug/opentrade/opentrade -b scripts/backtest.py -t ticks/%Y%m%d -s 20170701 -e 20181115

Execution Optimization Example

make args=-j backtest-release
cd scripts/execution_optimization
wget https://raw.githubusercontent.com/opentradesolutions/data/master/targets.zip; unzip targets.zip;
wget https://github.com/opentradesolutions/data/raw/master/test.sqlite3
./run
./sim_summary.py rpt*
params avg cost avg fr total pnl total tvr
High-0150 0.9378 1.0000 -0.0089 125.6283
High-0300 0.9297 1.0000 -0.0084 125.6273
High-0450 1.0504 1.0000 -0.0093 125.6262
High-0600 1.1687 1.0000 -0.0101 125.6252
High-0900 1.2693 1.0000 -0.0111 125.6255
High-1200 1.2615 1.0000 -0.0119 125.6264
High-1500 1.2867 1.0000 -0.0123 125.6280
High-1800 1.3281 1.0000 -0.0132 125.6296
High-2100 1.3886 1.0000 -0.0141 125.6324
High-2400 1.4285 1.0000 -0.0151 125.6340
High-2700 1.4940 1.0000 -0.0158 125.6348
High-3000 1.7564 0.9974 -0.0173 125.6373
Low-0150 -0.0681 0.5145 -0.0497 96.6273
Low-0300 0.1620 0.7019 -0.0244 108.1107
Low-0450 -0.1739 0.8185 -0.0295 117.1855
Low-0600 0.3163 0.8836 -0.0148 118.0378
Low-0900 0.3646 0.8884 -0.0177 120.5907
Low-1200 0.7914 0.9347 -0.0131 125.6282
Low-1500 0.8468 0.9427 -0.0106 125.6280
Low-1800 1.0057 0.9932 -0.0130 125.3894
Low-2100 1.2167 0.9862 -0.0161 125.6313
Low-2400 1.2075 1.0000 -0.0138 125.6348
Low-2700 1.3235 1.0000 -0.0150 125.6363
Low-3000 1.5444 0.9956 -0.0162 125.6386
Medium-0150 0.3631 0.5238 -0.0541 98.7558
Medium-0300 0.3999 0.7333 -0.0190 109.3046
Medium-0450 0.5549 0.8820 -0.0141 117.3461
Medium-0600 0.7546 0.8941 -0.0219 124.6843
Medium-0900 0.7669 0.8994 -0.0221 125.6307
Medium-1200 1.0957 0.9366 -0.0161 125.6295
Medium-1500 1.1907 0.9427 -0.0135 125.6285
Medium-1800 1.3788 0.9932 -0.0162 125.3895
Medium-2100 1.4976 0.9982 -0.0166 125.6344
Medium-2400 1.5517 1.0000 -0.0169 125.6354
Medium-2700 1.6557 1.0000 -0.0180 125.6368
Medium-3000 1.8620 0.9956 -0.0192 125.6392

The other OS system

we prepared Dockfile-dev for you.

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  • C++ 90.0%
  • C 8.4%
  • Python 1.2%
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