Unlock new trading strategies with advanced optimization techniques.
Quantitative leaders like Two Sigma have standardized on SigOpt’s solution to optimize their modeling pipelines as part of their core modeling platform. This scalable approach to hyperparameter optimization empowers them to accelerate their model development process and amplify the impact of their models in production.
SigOpt’s optimization solution tunes any model, whether it is machine learning, deep learning, or a simulation, and regardless of the infrastructure, framework or programing language that is used to build it. This empowers algorithmic trading firms to standardize on this optimization solution for models that drive trading strategy, trading execution, backtests or other quantitative solutions.
SigOpt’s black-box optimization solution tunes any model without accessing the underlying data or model, keeping your proprietary information safe, secure and private. It is also built to enable asynchronous parallelization across a distributed compute environment to ensure that optimization scales with your enterprise modeling needs.
Optimize models better, cheaper and faster than alternative methods in the market to accelerate and amplify the impact of modeling on your trading strategies. Automated model optimization is a critical step to a greater volume of high-performing models in production – and the increased return on investment that this process delivers.