https://info.cloudquant.com/mariner/ | CloudQuant Mariner Backtesting and Market Simulation
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Powerful High Resolution Strategy Backtesting
White Paper with Corresponding CloudQuant Source Code
Write sophisticated algorithmic trading strategies in Python.
Replay years of US equities trading utilizing high resolution tick-level data.
Users’ python code can interact with any market event- trades, news, halts, altdata, order handling, account handling, and many more.
Stats are automatically generated for every backtest and detailed statistical reports available on demand.
Users data storage area allows incorporation of own data into algorithms on CQ Mariner.
Enables users to efficiently test drive Alternative Data into their investing blueprint.