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      Institutional Market Insights: AI

      Access institutional insights, expert interviews, company spotlights and deep-dive analysis on market structures.

      Image for: Sibos Miami 2026: Banking’s AI Ambitions Meet the Reality of Execution

      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.

      Image for: edgeful Review for Futures & Prop Firm Traders: 150+ Reports and a Daily Process

      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.

      ByNavneet Giri

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      Image for: What Is Dark Pool Trading? How Retail Investors Can Track Institutional Money Flows

      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.

      ByDan Marriott

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      Image for: 6 Bloomberg Terminal Alternatives for Independent Professional Traders

      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.

      ByDan Marriott

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      Image for: Rethinking Broker Risk and Revenue in the Age of AI Trading

      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.

      ByYoussef Bouz

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      Image for: The Best AI Platforms for Trading & Analytics in 2026

      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.

      ByNavneet Giri

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      Image for: From B-Book to A-Book: Rethinking Broker Risk, Revenue & Valuation in the Age of AI Trading

      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.

      BySam Low

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      Image for: Building the Right Trading Environment in the Age of Algorithmic & AI Trading

      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.

      ByYoussef Bouz

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      Image for: AI for Trading: The 2026 Complete Guide

      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.

      ByNavneet Giri

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      CMC Markets has retired the CMC Connect name and will now present its institutional business as CMC Markets Institutional.

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      The SEC has approved Cboe's binary options tied to key performance indicators reported by 23 companies, covering more than 100 metrics such as iPhone revenue. The cash-settled contracts pay a fixed $1, Robinhood plans to be the first retail broker to offer them, and trading awaits clearing registration.

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      Global semiconductor and technology stocks sold off sharply on Thursday, with South Korea’s SK Hynix plunging over 10% and Samsung Electronics falling more than 8%.

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      Learn gold market structure to identify bullish, bearish and ranging XAUUSD trends using higher highs, higher lows, lower highs and lower lows, support and resistance.

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      Axi has launched an MCP integration connecting eligible MT5 accounts to Claude, allowing clients to access live market data, track positions, execute trades and update risk parameters through the AI assistant developed by Anthropic. Available to eligible Axi clients with an active MT5 account. Setup runs via Claude.ai.

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      Movantis has selected Integral to extend its FX liquidity offering for institutional clients including banks, payment networks and digital asset operators, adding an institutional trading platform, direct-to-client API trading and API connectivity into a third-party multi-dealer venue, supporting regional expansion.

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      Running a venue around the clock is the easy part. Pricing risk when the market underneath it is shut is not. Lars Holst, CEO of GCEX explains how to manage risk in 24/7 markets.

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      ATFX has released its Q4 2026 Trader Magazine, offering a closer look at the macroeconomic and market forces that could shape trading conditions in the final quarter of the year.

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      LSEG has announced a collaboration with NVIDIA that lets financial institutions analyse years of LSEG Tick History data in seconds using NVIDIA cuDF on GPUs, without creating another full copy of the dataset. Tick History holds 110 trillion rows across 100 million instruments and more than 580 venues and contributors.

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