BestEx Research Launches Pulse Analytics to Transform Pre-Trade and Execution Cost Analysis

12 September 2025 | Friday | News

Built as an API-first, multi-asset platform, Pulse Analytics delivers real-time, model-transparent insights—starting with a futures market impact model—to help institutional traders measure, estimate, and reduce trading costs.
Picture Courtesy | Public Domain

Picture Courtesy | Public Domain

BestEx Research Group LLC, an independent provider of high-performance algorithmic execution and measurement solutions for equities and futures, announced the launch of Pulse Analytics, a new business line dedicated to pre-trade and execution analytics. Built as an API-first, multi-asset platform, Pulse Analytics is designed to help portfolio managers and traders estimate, measure and improve trading costs. Clients can integrate seamlessly via a REST API—or access Pulse Analytics through BestEx Research's Algorithm Management System (AMS), the firm's cloud-based front end.

 "Today's trading analytics are often delivered as static PDFs or black-box GUIs, but we believe that model is outdated. The future is API-driven, because portfolio managers and traders want tools they can integrate directly into their workflows, connect to AI engines, or use to build their own dashboards. An API-first approach raises the bar for robustness and transparency–clients want to understand how models work in order to trust and adapt them. That's why we built Pulse Analytics, a platform that reflects how trading and technology are evolving," said Hitesh Mittal, Founder and CEO of BestEx Research.

 The platform's first offering, the Pulse Market Impact Model for Futures, is now live, delivering symbol-specific transaction cost estimates that reflect the unique structural nuances of futures markets. The model provides both historical and forward-looking transaction cost estimates, broken down into market impact and order placement cost components. Estimates account for key factors affecting execution cost, such as order size, urgency, duration, and time of day. In addition to cost estimates, the model provides access to other execution-relevant analytics—including trade imbalance, spread, and depth of book—as well as benchmark prices such as VWAP, participation-weighted price (PWP), and arrival price. These capabilities enable institutional traders to back-test strategies with cost awareness, evaluate historical trading costs, and estimate the cost of future trading. Coverage currently includes 70 base futures products across Energy, Agriculture, Metals, FX, Equity Indices, and Interest Rates.

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