QuantConnect Deploys Cloud Optimization for Algo Trading Parameter Testing

QuantConnect's technology gives quants the ability to better tune their algorithms

Quantitative trading strategies are controlled by a set of parameters, which are often decided by quants making an educated guess. As the selection of these parameters dramatically influences the results of backtests, many quants are prone to overfitting: choosing the parameters that fit the detail and noise of backtesting data, to the extent that it negatively impacts the live performance of the algorithm.

The technology's functionality — previously only available at a handful of elite megafunds — allows users to test thousands of combinations of these parameters in a fully spread, fee and slippage adjusted intraday simulation environment. No other public platform in the world provides the ability to optimize high fidelity backtests at scale.

These results can then be compared en masse via a graphical user interface, providing insights into how different parameters impact a strategy's alpha. This allows quants to determine a range of acceptable parameters for their strategy.

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