Retaining returns by optimizing implementation
Achieve lower implementation costs through recommended trade volumes that minimize market impact and price risk.
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Decrease implementation shortfall
Reduce costs with optimized trade-implementation decisions.
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Simplify workflow
Easily configured to a variety of workflows with customized benchmarks and a pre-built UI or API to integrate with internal and vendor systems.
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Scalable security-level analysis
Leverages machine learning to simultaneously provide recommendations across hundreds of constituents and prevent generalized decision-making at the index or sector level.
How it works
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Model predictive control-based optimization
Model predictive control provides non-linear, non-convex optimized recommendations for both optimal portfolio in/out-flows and daily trading volumes for portfolio constituents.
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Upgradable and modular forecasting
A modular system enables the use of customers’ proprietary forecasts, as well as the latest breakthroughs, such as our state-of-the-art N-Beats model.
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User-controlled view of the market
The adjustable risk aversion parameter allows users to easily factor in their view of the market and change the pace of trading.
Element AI Trade Flow Scheduler for Asset Managers
Asset Managers working in low liquidity markets or with large portfolios regularly incur implementation costs by moving the market or splitting trades over multiple days. Yet retaining returns by minimizing these implementation costs is a key priority in low-return environments and when facing funding shortfalls or fee pressure. EAI Trade Flow Scheduler continuously optimizes trade-implementation decisions based on dynamic market data to help Asset Managers minimize market impact and price risk, resulting in lower implementation costs.
Not sure where to start?
Our team can work with you to develop an AI business and data strategy that builds on the unique strengths and expertise of your business.