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
25 years in trading research, development, sales, and support across asset classes; previously AQR, ITG
MBA in Finance, NYU, Bachelor of Engineering in Computer Science from JNV University, India
17 years in trading analytics; previously AQR, ITG
MS in Financial Engineering, University of Michigan
13 years in financial services accounting and regulatory reporting; previously Quantitative Brokers
BA in Journalism, MA in Radio & Television Broadcasting from The Lebanese University - Faculty of Journalism
40 years in financial services regulatory law with expertise in sales and trading, market structure, capital markets, contracts, and supervisory and compliance procedures
Fordham University and Fordham Law School
35 years in portfolio trading, electronic trading, algorithmic trading in equities, options, and futures; previously Lime Trading, Citadel, RBS, ITG, Nomura
BS in Economics from University of Wisconsin-Madison
13 years in trading research; previously Morgan Stanley, ITG
PhD in Applied Math & Statistics, Stony Brook University
20 years in EU and APAC electronic trading in equities and futures; previously Macquarie, J.P. Morgan, RBC Capital Markets
Master’s degrees from London School of Economics and Durham University Business School, BSc from Southampton University
25 years in electronic trading; previously JPM, Citi, Lehman
BS in Finance, Ithaca College
15 years in electronic trading; previously UBS, Mizhuo, Quantitative Brokers
BS in Finance, University of Illinois at Urbana-Champaign
15 years in algorithmic trading; previously Credit Suisse
Master of Engineering in Computer Science, Bachelor of Arts in Computer Science from Cornell University
10 years in agency algorithmic trading; previously RBC, Barclays & Lehman Brothers
BA in Economics, Mathematics, & Statistics
9 years experience in algorithmic futures execution; previously Quantitative Brokers, Barclays
MS in Physics with Philosophy, University of York
20 years in electronic trading, strategic global relationship management; previously Liquidnet, BNY ConvergEx
14 years in development; previously Morgan Stanley
Mechanical Engineering, IIT Madras
10 years in front-end development
MS in Cybernetics and Computer Science, State Engineering University of Armenia