jump-trading-fpga-hft

Build FPGA-based trading systems with Verilog, Python, and C++.

Updated Jan 24, 2026

Search Tags:#networking #real-time #hardware #trading #low-latency #fpga #hft

Ready to run

npx skills add https://github.com/copyleftdev/sk1llz --skill jump-trading-fpga-hft

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: jump-trading-fpga-hft
Source: https://github.com/copyleftdev/sk1llz/tree/main/organizations/jump-trading
Command: npx skills add https://github.com/copyleftdev/sk1llz --skill jump-trading-fpga-hft

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables the development of high-frequency trading systems that operate at nanosecond-level execution speeds, mirroring the advanced techniques used by firms like Jump Trading.

Core Features & Use Cases

FPGA-based Logic: Implement critical trading logic directly in hardware for maximum speed.
Network Optimization: Design and optimize network paths, favoring microwave links and co-location.
Smart NIC Processing: Offload market data parsing and initial filtering to network interface cards.
Hardware Time Synchronization: Utilize PTP for precise, nanosecond-accurate time synchronization across systems.
Wire-to-Wire Latency Measurement: Accurately measure end-to-end latency from packet reception to transmission.
Use Case: When building a new trading strategy that requires processing market data and executing orders within microseconds, leverage these principles to ensure your system meets the necessary performance thresholds.

Quick Start

Apply the Jump Trading FPGA HFT skill to optimize the network path for a new trading server located in the Equinix NY4 data center.

Frequently Asked Questions about jump-trading-fpga-hft

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I build an FPGA-based high-frequency trading system with nanosecond execution?▼

To build an FPGA-based high-frequency trading system, implement critical trading logic directly in hardware using Verilog, optimize network paths with microwave links, and offload market data parsing to smart NICs for nanosecond-level execution.

How does PTP hardware time synchronization work for low-latency trading?▼

PTP hardware time synchronization provides precise, nanosecond-accurate clock alignment across trading systems, ensuring that market data processing and order execution maintain strict timing consistency required for low-latency trading.

What is the best way to measure wire-to-wire latency in an HFT system?▼

The best way to measure wire-to-wire latency is to track the end-to-end duration from packet reception to transmission, utilizing specialized hardware processing to capture nanosecond-level timing accurately.

Can I use Python and C++ alongside Verilog for FPGA trading system development?▼

Yes, you can use Python and C++ alongside Verilog for FPGA trading system development, utilizing Verilog for critical hardware logic and Python or C++ for system-level implementation and hardware acceleration integration.

When do I need smart NIC processing for market data parsing?▼

You need smart NIC processing for market data parsing when your trading strategy requires processing market data and executing orders within microseconds, allowing initial filtering to be offloaded directly to the network interface cards.

Does network optimization with microwave links improve co-located trading server performance?▼

Network optimization with microwave links improves co-located trading server performance by reducing physical network path latency, which is essential for maintaining the nanosecond-level execution thresholds required by high-frequency trading systems.