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Affordable Speed and Scalability

With proven low-latency solutions and support for over 200 markets globally, Exegy serves sophisticated prop traders in all asset classes. With our hosted solutions, we deliver fully managed infrastructure that allows you to get to market quickly, including the fast-growing Asia-Pacific. From on-demand feeds to FPGA tick-to-trade solutions, Exegy can help you capture more opportunities.

Optimize local latency for mass quoting, aggressing, and canceling algorithms with the Xero Volatility Trading Engine (VTE) platform. Xero VTE is an off-the-shelf FPGA appliance that provides nanosecond tick-to-trade speeds. Its easy-to-use interface can integrate with existing trading stacks while allowing proprietary strategies to stay secret.

Backtesting is essential for launching new strategies, and Exegy offers historical market data solutions with differentiated precision and features. Roll seamlessly into production with the same easy-to-use API.

Looking for an extra edge? Our Signum suite of AI-powered predictive trading signals helps you predict real-time price movements and identify hidden liquidity. Delivered synchronously with low-latency market data, these signals are a powerful complement to your proprietary signals.

Featured Exegy Products for Proprietary Traders:

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Exegy’s hosting solution is accessible from data centers co-located with major global markets, providing real-time access via low-latency cross connects. Feeds are customizable to meet a firm’s trading needs.

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Exegy’s Historical Data Service delivers lower-cost, on-demand access to high-quality historical market data. Data files are delivered in both raw (PCAP) and normalized (CSV) formats via cross connect or the Internet.

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A portfolio of real-time trading signals predicts price movement, trade concentrations, and hidden liquidity. Signals are delivered synchronously with market ticks.

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This tick-to-trade volatility trading engine executes canceling, mass quoting, and aggressing algorithms at nanosecond speeds. Delivered as subscription service model.

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