News / Press Releases

Algo-Logic is in "Top 10 of Algo Trading Solution Providers-2019"

Algo-Logic Systems is in "Top 10 of Algo Trading Solution Providers"

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Algo-Logic Systems: "Time is money"

The timescales for automated trading have changed. Decades ago, human market makers that traded in a few seconds were effective. But, over the years automated trading systems were forced to migrate to FPGA based systems delivering sub-microsecond latency just to remain competitive. John Lockwood discusses how Algo-Logic designs and delivers the FPGA-accelerated systems trading firms need to remain competitive.

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Algo-Logic Systems Demonstrates End-to-End Solution for Acquiring, Fusing, and Visualizing Real-time Data at SC18 Conference

Algo-Logic Systems Demonstrates End-to-End Solution for Acquiring, Fusing, and Visualizing Real-time Data at Super Computing 2018. New Black Diamond streams live data to scale-out Key Value Store (KVS) that is rendered in immersive three-dimensional environment

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Algo-Logic System's Ultra-low-latency Tick-to-Trade System with Advanced Turbo Spreader

Algo-Logic Systems Introduces Ultra-low-latency Tick-to-Trade System with Advanced Turbo Spreader at the FIA Expo 2018

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Algo-Logic Systems Launches Third Generation Black Diamond Rackmount Data Acquisition system

Algo-Logic Systems demonstrates the 3rd generation Black Diamond Rackmount Data Acquisition System
Built with integrated FPGA SoC for high accuracy sensing of real-time data and streaming to the cloud

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Algo-Logic Systems Demonstrates a Black Diamond and Low Latency KVS on Xilinx Alveo U200

Algo-Logic Systems Demonstrates End-to-End Solution for Acquiring, Fusing, and Visualizing Real-time Data at Xilinx Developer Forum.
Black Diamond and Key Value Store (KVS) collect, share, and feed real-time data to dashboards and immersive three-dimensional environments.

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Algo-Logic Systems Introduces Ultra-low-latency Tick-to-Trade System with Multi-leg Turbo Spreader

Algo-Logic Systems introduces their Field Programmable Gate Array (FPGA) accelerated Tick-To-Trade (T2T) System with Turbo Spreader functionality for Futures and Options trading. The sub-microsecond futures and options trading solution is ideal for latency sensitive trading firms that need deterministic response times to capture market opportunities.

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Algo-Logic Systems Demonstrates Scale-Out Machine Learning and Real-time Inference Accelerated by FPGA Key-Value Store at SC17

San Jose, California, November 9, 2017 – Algo-Logic Systems demonstrated machine learning and real-time inference accelerated by their Key Value Store (KVS) running on a Field Programmable Gate Array (FPGA) at the Super Computing 2017 conference. The application to train and control self-driving cars was shown at the conference on November 13th through the 16th, 2017 in Denver, Colorado. In the demonstration, parallel simulations of cars were run and data was shared between computation nodes using Algo-Logic’s networked-attached KVS.

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Algo-Logic Systems Launches Fourth Generation FPGA Accelerated CME Tick-To- Trade System at the FIA Expo 2017

San Jose, California, October 11, 2017 – Algo-Logic Systems will announce the release of their fourth generation Field Programmable Gate Array (FPGA) accelerated CME Group (CME, CBOT, COMEX, and NYMEX) Tick-To-Trade (T2T) System at the FIA Expo October 17th through the 19th, 2017 in Chicago, Illinois. The sub-microsecond trading solution is ideal for latency sensitive trading firms that need deterministic response times to market opportunities. The CME T2T System is built using Algo-Logic’s internally developed, pre-built FPGA IP cores that significantly reduce time-to-market.

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Algo-Logic Systems Launches Third Generation FPGA Accelerated CME Tick-To-Trade System

Algo-Logic’s T2T System supports multiple pre-built and customizable triggers as well as the ability to modify fields of an order in logic. The breakthrough system can be used by traders and market makers to instantly react to changing market conditions by updating or cancelling quotes based on latency sensitive market data.

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