Institutional Market Insights: AI

Anya Aratovskaya's notes from her visit to Sibos Miami, 2026. Artificial intelligence led the agenda but many of the conversations came back to the work banks still need to do on data, controls and the client experience.

edgeful is a trading analytics platform with 150+ reports built on historical price data, covering futures such as NQ and ES. This guide explains its daily process, screener, TradingView indicators, edgeful AI, automated algos for prop firm accounts, and three pricing plans from $49 to $299 a month.

Dark pool trading was once the preserve of institutional desks, but a new wave of AI tools is promising self-directed investors a look into non-displayed liquidity and where the big money sits. This article explains what dark pools actually are, why retail traders face an even bigger information gap in FX than in equities, and what AI-driven intelligence platforms like IUX24 can and cannot reveal about institutional positioning.

The Bloomberg Terminal has long been the reference standard for institutional market intelligence, but its $25,000-plus price tag puts it out of reach for most independent professionals. This article looks at seven platforms challenging that dominance in 2026, from AI-native tools like IUX24 to established names such as TradingView, Koyfin and AlphaSense, and asks how close they really come to replacing the Terminal.

In Part 6 of his A-Book STP series, Youssef Bouz from GCC Brokers looks at how the rise of algorithmic and AI-assisted trading is forcing brokers to rethink risk models, revenue strategy, and long-term sustainability, and why trader longevity, not short-term extraction, is the real measure of a resilient execution business.

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.

In part 2 of his series A-book STP series, Youssef Bouz from GCC Brokers explains why Algorithmic and AI trading demand better execution. Youssef explains STP trading environments, slippage, spreads, and broker–trader alignment.

From machine learning-driven execution to predictive market analytics, we break down the AI tools that institutional and quantitative traders are using to gain an edge.

Artificial Intelligence (AI) has revolutionized the trading world, opening up unprecedented levels of efficiency, accuracy, and speed in financial markets. By 2025, AI will handle almost 89% of the world's trading volume—changing everything from high-frequency equity trading to decentralized crypto ecosystems. This guide explores how AI trading platforms leverage advanced algorithms, machine learning, neural networks, and real-time data analysis to automate trade, reduce human error, and execute trades at a record rate.