Low-latency Systems Experience and Side Projects

This page summarizes the projects mentioned and recommended in the original post on /r/algotrading

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
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  • quickfix

    QuickFIX C++ Fix Engine Library

  • Several open-source projects can give you a head start. QuickFIX https://github.com/quickfix/quickfix FIX is the ABC of electronic trading. FIX is not a low-latency protocol, but it covers all aspects of electronic trading, from authentication to market data to order entry to post-trade reporting. Every trading venue supports FIX, so you must be familiar with it. QuickFIX provides FIX Server and Client implementations for all versions used on the street and python wrappers for all components. LiquiBook https://github.com/enewhuis/liquibook LiquiBook is an example of a low-latency matching engine. This project should give you an idea of how exchange matches orders. Itch-order-book https://github.com/charles-cooper/itch-order-book Itch-order-book is an example of a low-latency code to process market data. This project is an example of how to process millions of order book changes per second. ITCH is a low-latency market data protocol used by NASDAQ DistirbutedATS https://github.com/mkipnis/DistributedATS DistirbutedATS integrates QuickFIX and LiquiBook to create a simple yet functional exchange. DistributedATS is my experimental project so let me know if you have any questions.

  • liquibook

    Modern C++ order matching engine

  • Several open-source projects can give you a head start. QuickFIX https://github.com/quickfix/quickfix FIX is the ABC of electronic trading. FIX is not a low-latency protocol, but it covers all aspects of electronic trading, from authentication to market data to order entry to post-trade reporting. Every trading venue supports FIX, so you must be familiar with it. QuickFIX provides FIX Server and Client implementations for all versions used on the street and python wrappers for all components. LiquiBook https://github.com/enewhuis/liquibook LiquiBook is an example of a low-latency matching engine. This project should give you an idea of how exchange matches orders. Itch-order-book https://github.com/charles-cooper/itch-order-book Itch-order-book is an example of a low-latency code to process market data. This project is an example of how to process millions of order book changes per second. ITCH is a low-latency market data protocol used by NASDAQ DistirbutedATS https://github.com/mkipnis/DistributedATS DistirbutedATS integrates QuickFIX and LiquiBook to create a simple yet functional exchange. DistributedATS is my experimental project so let me know if you have any questions.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • itch-order-book

    Fast implementation of an ITCH order book

  • Several open-source projects can give you a head start. QuickFIX https://github.com/quickfix/quickfix FIX is the ABC of electronic trading. FIX is not a low-latency protocol, but it covers all aspects of electronic trading, from authentication to market data to order entry to post-trade reporting. Every trading venue supports FIX, so you must be familiar with it. QuickFIX provides FIX Server and Client implementations for all versions used on the street and python wrappers for all components. LiquiBook https://github.com/enewhuis/liquibook LiquiBook is an example of a low-latency matching engine. This project should give you an idea of how exchange matches orders. Itch-order-book https://github.com/charles-cooper/itch-order-book Itch-order-book is an example of a low-latency code to process market data. This project is an example of how to process millions of order book changes per second. ITCH is a low-latency market data protocol used by NASDAQ DistirbutedATS https://github.com/mkipnis/DistributedATS DistirbutedATS integrates QuickFIX and LiquiBook to create a simple yet functional exchange. DistributedATS is my experimental project so let me know if you have any questions.

  • DistributedATS

    DistributedATS is a FIX Protocol based multi matching engine exchange(CLOB) that integrates QuickFIX and LiquiBook over DDS

  • Several open-source projects can give you a head start. QuickFIX https://github.com/quickfix/quickfix FIX is the ABC of electronic trading. FIX is not a low-latency protocol, but it covers all aspects of electronic trading, from authentication to market data to order entry to post-trade reporting. Every trading venue supports FIX, so you must be familiar with it. QuickFIX provides FIX Server and Client implementations for all versions used on the street and python wrappers for all components. LiquiBook https://github.com/enewhuis/liquibook LiquiBook is an example of a low-latency matching engine. This project should give you an idea of how exchange matches orders. Itch-order-book https://github.com/charles-cooper/itch-order-book Itch-order-book is an example of a low-latency code to process market data. This project is an example of how to process millions of order book changes per second. ITCH is a low-latency market data protocol used by NASDAQ DistirbutedATS https://github.com/mkipnis/DistributedATS DistirbutedATS integrates QuickFIX and LiquiBook to create a simple yet functional exchange. DistributedATS is my experimental project so let me know if you have any questions.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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