Galaxy’s portfolio optimization models support a wide range of portfolio and trading constraints, including concentration, price, and liquidity variables. Unlike “guess and check” optimizers, our approach is based on advanced mathematical optimization techniques and algorithms to provide exact results. This eliminates the guesswork, ensuring clients that a result is the best solution given their constraints and objectives.

Optimizers can be notoriously difficult to use in real-world applications. We’ve listened, and by applying an intelligent assistant approach, we’ve simplified and streamlined the interaction between human and machine to produce useful results. Our solution includes solvers that focus on specific repetitive use cases such as portfolio rebalancing, par building, feature repair, trade and replace, warehouse construction, and more.

Galaxy’s optimization models are fast – blazing fast – to enable users to rapidly iterate on problems and explore solutions interactively based on varying inputs. The Galaxy optimizer balances risk, return, and a myriad of tests spanning compliance guidelines, proprietary credit analytics, and manager preferences. Users can generate solutions in seconds – identifying trading combinations that would previously be impossible to find or would require considerable time and effort.