NEW YORK, NY — The application of deep learning techniques, a subset of machine learning methods, to algorithmic trading is the latest and most exciting advance to be implemented in WallachBeth’s pursuit of best execution for its clients.
“Any statistically significant ability to predict a price trend in advance over a relevant time horizon can add great value to order execution performance,” said Matthew Rowley, Chief Technology Officer at WallachBeth. “By applying deep learning to our algorithms, we are able to inject ‘smarts’ into their behavior, allowing for analysis of what’s happening now rather than what’s happened in the past.”
“At WallachBeth, we recognize the increasing importance of enabling technology in the hands of seasoned traders,” Rowley added. “By applying the latest advances in deep learning to trading algorithms, we humanize tools to align more naturally with our clients’ execution style, boosting trading capacity and performance.”
Michael Wallach, CEO, commented, “The incredible rate at which today’s marketplace is evolving means we must always be innovating and investing in technology to stay ahead. These next generation tools fit well with our focused efforts to solve complex problems for our clients and drive continued solutions that matter.”
About WallachBeth Capital LLC
WallachBeth Capital is a leading provider of institutional execution services, offering clients a full spectrum of solutions to help them navigate increasingly complex markets. The firm’s expertise includes ETF and equity trading, derivatives, healthcare research and capital markets. Operating on a fully disclosed, agency-only basis, the firm is committed to facilitating all client needs with transparency and integrity. The firm’s website is located at www.wallachbeth.com.
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