From FIX to FAST to SBE – The Evolution of Financial Messaging Protocols

You follow the evolution from FIX to FAST to SBE to understand how protocol design reduced overhead, created systemic risk, and enabled microsecond latency and massive throughput improvements. Key Takeaways: FIX protocol introduced a human-readable tag-value format that enabled broad interoperability across institutions but incurred higher bandwidth and parsing overhead.

Building a High-Performance FIX Engine from Scratch – Architecture Best Practices

Architecture defines your engine’s throughput and resilience; you design for low latency, enforce strict checks to prevent message loss, and implement predictable threading and backpressure so you can sustain high-volume trading with minimal downtime. Key Takeaways: Design for ultra-low latency by using non-blocking I/O, zero-copy buffers, pre-allocated message pools, lock-free

FIX Protocol Message Types Explained – From Order Entry to Execution Reports

Protocol clarifies FIX message types so you can send orders, interpret execution reports confirming fills, and handle error messages that may cause financial loss. Key Takeaways: FIX distinguishes session/admin messages (Logon 35=A, Heartbeat 35=0, Resend Request 35=2) from application/order messages to manage connectivity, sequence numbers, and recovery. Core order-entry messages

How to Reduce Latency in FIX Engine Communication – A Step-by-Step Guide

Over this guide, you learn to reduce FIX engine latency by tuning network stacks, optimizing parsing, and minimizing I/O; high latency risks order failure and financial loss, and millisecond gains improve execution and profits. Identifying Critical Latency Factors in Financial Messaging Identify and list the top latency drivers for your

SOR Strategy in trading |

SOR Strategy in trading. What is it and what are the advantages of using it for best execution

What is SOR Strategy and what are the advantages of using it for best execution? SOR Strategy: The ever-expanding universe of exchanges, dark pools, and alternative trading systems reveals a profound increase in market entropy, liquidity scattering, making the search for optimal execution a complex, multi-dimensional problem. Seeking the best

Pegged orders and pegging in electronic trading |

Pegged orders and pegging in electronic trading. What are they and how to leverage

Orders in electronic trading present complex mechanisms one of them being pegged orders, where your price dynamically adjusts to the market. This offers adaptive execution, yet carries the risk of adverse price movements. Understanding this adaptive strategy allows you to potentially optimize your trading outcomes. ### Key Takeaways: * Pegged

RFQs in Trading with brokers. What are they and how to use?

Most traders seek optimal execution. You understand that Request for Quotes (RFQs) offer a mechanism to solicit pricing directly from multiple brokers, potentially securing superior fills for larger orders. This process, while seemingly straightforward, demands a precise understanding of its utility and inherent risks, especially concerning information asymmetry. You must

Swap orders in trading. What are they?

Key Takeaways: * Swap orders are basically agreements between two parties to exchange future cash flows based on underlying assets, often interest rates or currencies. You’re not trading the asset itself, you’re just swapping the payments that come from it. It’s like making a bet on where rates or exchange