Most portfolio managers and traders don’t realize how much of their trading costs they could save with highly sophisticated trading algorithms. We can significantly reduce costs with iterative measurement and a systematic, quantitative approach to execution that matches each customer’s unique goals with appropriate implementation.
We aim to increase your returns, providing the next generation of algorithms to access the liquidity you need, while minimizing your trading cost and information leakage for all asset classes in all markets. Our exclusive focus is to deliver the best execution experience to our customers with transparency, privacy, and simplified workflow in an unconflicted, broker-dealer neutral approach.
BestEx Research serves buy-side firms who want to reduce their trading costs, as well as sell-side firms who want to improve their customers’ costs and experiences.
Following two decades of experience designing, implementing, and measuring execution algorithms at ITG and AQR, Hitesh Mittal founds BestEx Research to provide research-driven, high-performance execution algorithms for all regions and asset classes
BestEx Research launches execution algorithms for US equities
BestEx Research announces Series A financing
BestEx Research launches execution algorithms for global futures trading
BestEx Research launches platform for trading Canadian equities
BestEx Research expands global futures offering to include four new exchanges and crypto products
BestEx Research launches Strategy Studio to provide no-code algo customization, A/B testing, and automation tools for buy- and sell-side clients
BestEx Research wins Best Algorithmic Trading Provider in the Waters Rankings
BestEx Research wins Best Buy-Side Transaction Cost Analysis (TCA) tool in Waters Technology's Buy-Side Technology Awards

15 years in trading analytics;
Experience: AQR, ITG
MS in Financial Engineering, University of Michigan

15 years in trading analytics;
Experience: AQR, ITG
MS in Financial Engineering, University of Michigan

13 years in development;
BS in computer science from the State Engineering University of Armenia

30 years in financial services and data management including senior management positions in startups and high-growth firms;
MBA in Finance & Banking, Case Western Reserve University

12 years in development;
Experience: Morgan StanleyMS IIT Madras

8 years in front-end development;
MS in Cybernetics and Computer Science, State Engineering
University of Armenia

14 years in trading research;
Experience: ITG, Morgan Stanley, PhD in Applied Math & Statistics, Stony Brook University

25 years in electronic trading;
Experience: JPM, Citi, Lehman BS in Finance, Ithaca College

13 years in development;
BS in computer science from the State Engineering University of Armenia

15 years in electronic trading;
Experience: UBS, Mizhuo, Quantitative Brokers
BS in Finance, University of Illinois at Urbana-Champaign

15 years in high frequency trading and algo services;
Experience: JPM, Virtu, Barclays
MBA in Finance and BS in Computer Science, Rutgers

15 years in high frequency trading and algo services;
Experience: JPM, Virtu, Barclays
MBA in Finance and BS in Computer Science, Rutgers