---
title: "Discussion on \"High-Frequency Trading Data Pipeline with RisingWave\" | Hashnode"
description: "Discussion on \"High-Frequency Trading Data Pipeline with RisingWave\". How to build a low-latency HFT data pipeline that processes market data, computes derived signals, and feeds execution systems using streaming SQL"
url: "https://hashnode.com/posts/high-frequency-trading-data-pipeline-risingwave/69d038653b2eb2f00f46c41a"
---

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# [High-Frequency Trading Data Pipeline with RisingWave](https://risingwave.com/blog/high-frequency-trading-data-pipeline-risingwave?utm_source=hashnode&utm_medium=feed)

How to build a low-latency HFT data pipeline that processes market data, computes derived signals, and feeds execution systems using streaming SQL

Apr 3 · 5 min read · risingwave.com  
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-   [#hft](https://hashnode.com/tag/hft)
-   [#market-data](https://hashnode.com/tag/market-data)
-   [#risingwave](https://hashnode.com/tag/risingwave)
-   [#streaming-sql](https://hashnode.com/tag/streaming-sql)
-   [#trading](https://hashnode.com/tag/trading)

## Written by

[RisingWave Labs](https://hashnode.com/@RisingWaveLabs)

@RisingWaveLabs · Bay Area, California

  
[View profile](https://hashnode.com/@RisingWaveLabs)

RisingWave is an open-source real-time event streaming platform.

RisingWave is a real-time event streaming platform designed to offer the simplest and most cost-effective way to process, analyze, and manage real-time event data — with built-in support for the Apache Iceberg™ open table format. It provides both a Postgres-compatible SQL interface and a DataFrame-style Python interface. RisingWave can ingest millions of events per second, continuously join and analyze live streams with historical data, serve ad-hoc queries at low latency, and manage data reliably in Apache Iceberg™ tables.

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