BestEx Research Announces Adaptive Optimal Framework for Designing and Optimizing Implementation Shortfall Execution Algorithms
Adaptive Combines Point-and-Click Algorithm Development with Data-Driven Decision-Making for Reduced Trading Costs
STAMFORD, Conn., June 8, 2023 /PRNewswire/ -- BestEx Research Group LLC, an independent provider of high-performance algorithmic execution and measurement solutions for equities, futures, and FX trading, has launched a no-code framework for building and optimizing implementation shortfall (IS) execution algorithms. The BestEx Research Adaptive Optimal (IS) Framework allows clients to create tailored implementation shortfall algorithms and compare performance through experimentation for truly optimized, custom design for their unique order flow and preferences.
Adaptive Optimal allows buy-side traders and sell-side providers to develop completely custom IS algorithms and understand the impact of design decisions on resulting execution costs. The framework features speedy customization of common IS preferences, like whether to pace trading or favor an opportunistic approach, whether orders must complete, shifts in execution strategy based on market conditions, and more. The platform's built-in A/B testing tools allow for experimentation across strategies for fair performance comparison, resolving traders' long-standing questions about how to optimize performance.
In addition, the Adaptive Optimal (IS) Framework allows sell-side firms to provide and support virtually any IS algorithm, tailoring offerings to each individual firm, trader, and order with no coding required. The platform's point-and-click algo development tools mean sell-side firms can quickly recreate their existing offering in BestEx Research's Algorithm Management System (AMS) while continuing to experiment for improved perforance and partner with their clients to build optimized trading solutions.
"This is groundbreaking for our industry. For the last two decades, buy-side firms have used opaque, black-box implementation shortfall algorithms with just a handful of urgency settings, but such limited algorithms simply cannot work well for all portfolio managers for all types of orders. True optimization of trading costs requires careful examination of orders' alpha, the execution risk preferences of the managers, and the intraday liquidity in each product being traded, and Adaptive offers the tools to help our clients achieve that goal–something that's been out of reach for decades." said Hitesh Mittal, Founder and CEO of BestEx Research. "It's not only that existing IS algorithms are not tailored to each investment manager; they also tend to suffer from a number of design issues that inflate trading costs unnecessarily–misunderstanding the tradeoff between market impact and alpha decay, overly aggressive order completion behavior, and long-term adverse selection are a few examples. Our new Adaptive Optimal (IS) Framework addresses these challenges and allows us to create customized solutions for each of our clients."
Algorithms developed using the Adaptive Optimal (IS) Framework are powered by BestEx Research's award-winning trading technology and supported by their multi-asset Algorithm Management System (AMS), offering clients transparency and control over execution. Buy-side traders and sell-side providers can view and interact with their trading, review transaction cost analysis throughout each order's lifetime and historically, and build custom algorithms, Smart Order Routers (SORs) and liquidity-seeking strategies.
To learn more about the design principles behind the BestEx Research Adaptive Optimal (IS) Framework, read the full product announcement at https://www.bestexresearch.com/insights/adaptive.
For more information about the BestEx Research Algorithm Management System (AMS), visit bestexresearch.com.
About BestEx Research
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