Analyzing Historical Performance to Improve Future Trading System Backtesting Results
CloudQuant is a platform that allows traders and quantitative analysts to develop, backtest, and deploy trading System Backtesting strategies using historical market data. It offers a cloud-based environment with access to a vast dataset of tick, bar, and order book data, as well as a range of tools and technologies for strategy development, backtesting, and evaluation. CloudQuant uses Python, Jupyter Notebooks, and Docker containers, making it easy to develop and test trading algorithms in a collaborative and reproducible way. The platform also provides access to a pool of capital for traders who want to license their strategies, with a revenue-sharing model that rewards successful performance.
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