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In this comprehensive step-by-step guide, we'll walk you through everything you need to know to set up your own brokerage. From obtaining the necessary licenses to choosing the right technology and marketing your services, we will take you through the steps on the journey. Do let us know if you need any help with anything covered below.

Discover how GCC Brokers built a 100% A-Book brokerage model focused on trust, transparency, and technology. Inside their execution, regulation strategy and client alignment.

At the top of the FX liquidity hierarchy sit Tier 1 banks, the institutions that set interbank rates and define the depth of the global forex market. This article explains how they operate, how their pricing flows down to retail brokers, and what it means for execution quality at every level.

We thought it would be of interest to the members of LiquidityFinder to let our users know what company they keep, and the analysis of our user base has revealed some interesting insights into the community we've built together.

Tokenisation. Let’s allow that this is going to happen. So, if it does, what are the implications for liquidity management?

MetaTrader 4 and MT5 dominate retail brokerage, but they're not the only option. This guide reviews the leading white label trading platform alternatives available to banks and brokers in 2026, covering technology, licensing, and key differentiators.

In 2026, ready-made infrastructure is beating custom development on speed, cost and compliance. Learn when to build vs buy—and where CTOs lose time and budget.

A complete comparison of MT4, MT5, cTrader, and modern proprietary trading platforms.

Gas fees can be the most confusing part of using Ethereum and other blockchains. This guide explains what gas fees are, why they exist, how costs are calculated (including EIP-1559’s base fee and priority tip), and the key factors that drive price spikes. You’ll also learn practical ways to reduce fees using gas trackers, smarter timing, batching, and Layer 2 networks like Arbitrum, Optimism, Polygon and zkSync.

Why one-size-fits-all trading models fail as automation rises. In the second in his series of articles Youssef Bouz from GCC Brokers explains how discretionary and algorithmic traders need different execution conditions (transparency, predictability, stable infrastructure and clear scaling rules) and why realistic market behaviour (spreads, slippage, external liquidity) plus clear broker positioning reduces friction and supports long-term performance.

Watch the LiquidityFinder webinar replay on A-Book vs B-Book execution models for retail FX/CFD and crypto brokers. Hear Lars Holst (GCEX), Rob Brown (MAS Markets), Jeremy Kinstlinger (Afterprime), Youssef Bouz (GCC Brokers), Victor Ivanchenko (cBridge/Spotware) and Sam Low (LiquidityFinder) discuss AI-driven trading, liquidity stress, regulatory scrutiny, risk transfer, LP/PB relationships, balance-sheet volatility and brokerage valuation over the next 3–5 years.