Mariner

Trading Simulation And Backtesting

With CloudQuant’s Mariner, our secure backtesting and algorithm development environment, you have access to tools to develop and test a trading strategy in a highly accurate stock market simulator. By backtesting your trading ideas, Mariner provides results to prove that it will be successful with different stock symbols over multiple time periods.

Advantages with Mariner

Historical Data:
  • Market Data (Ticks, Bars, Imbalances, NBBO, Time and Sales)
  • Alternative data sets from vendors shown in the data set catalog
  • Fundamental data sets from several vendors
  • Over 500 trade signals developed by professional traders

Trading simulation with tick level market data

Visualization:
  • Trade entry and exit on candlestick charts.
  • End of Day P&L heat maps
  • P&L over time

White papers, source code, and detail reports included microsecond timestamped simulated trades for featured alternative data sets

Easy coding environment using Python
  • Easy to copy sample code to serve as a foundation for your trading idea
  • Online support, documentation, and online forum

CQ Data Liberator time series data fabric for easy API access to any time series dataset

Detailed reports on all aspects of the automated trading strategy

Online Support
  • Chat support provided during US market hours with up to 1 hour before open and 1 hour after close
  • Online Community where other members of the CloudQuant community can support you
  • Online documentation

CONTENT

CloudQuant Backtesting
  • Professional High-Resolution Backtesting
  • Freemium limited to 5,000 days of backtesting per month
  • Secure Environment
  • Order Management
  • Risk Management
  • 10GB Personal Storage
  • Historical Tick Level Market Data
  • Historical Market Data Bars (minute, daily)
  • Alternative Data Access

PREMIUM CONTENT

Additional Access
  • Unlimited simulations
  • 100 GB Storage
  • Prioritized Simulations (over Freemium)
External API Access for Backtesting Package
  • Systematic research
  • CloudQuant AI 

For more information on this dataset or other datasets, Contact Us.
See also our Data Catalog and our Repository of White Papers.