Bloomberg Terminal

What if you could keep track of FX quotes across multiple chats from one view? 💬 Bring quotes from your selected Instant Bloomberg chats together with MYQ <GO>. Organize them by currency pair, tenor and bid and offer levels, customize which quotes you see and jump straight to the conversation behind any price.

The conversation around AI in finance is moving quickly from experimentation to execution and shifting the measurement of ROI of AI from efficiency to effectiveness. At Bloomberg’s AI in Finance Summit in New York, senior financial executives came together to discuss where AI is creating measurable value, how it is reshaping investment workflows, and what responsible adoption looks like as the technology becomes more agentic. We also demonstrated the next evolution of ASKB, showing how investors can bring their own professional context from their Instant Bloomberg (IB) chats, Worksheets and files into the same conversation as Bloomberg’s data, news, research and analytics. A few signals from our audience polling stood out: 🔹 66% said full-workflow AI assistants are the advancement they are most excited about. 🔹 85% said AI is either already integrated into daily workflows or is currently being piloted and tested at their organization. 🔹 Security and privacy ranked as the biggest barrier to broader AI adoption, followed by regulatory and compliance concerns. 🔹 When it comes to trust, source attribution ranked highest, reinforcing that confidence in AI for finance depends not just on what it can do, but on the transparency and verifiability of its outputs. Learn more about AI at Bloomberg: bloom.bg/4zsdxoq

More than 250 data and technology leaders joined us at Bloomberg’s New York headquarters for the Enterprise Data & Technology Summit: Data in the Age of AI. The conversation centered on how: 🔸 AI is moving decisively from experimentation to scaled deployment, with governance, compliance, data quality and workflow integration emerging as the biggest barriers to moving beyond pilots. 🔸 Trusted, AI-ready data is becoming even more critical as agents emerge as a new consumer of financial information, increasing the need for high-quality, well-governed data that can be accessed natively across cloud and enterprise environments. 🔸 Bloomberg highlighted the evolution of its enterprise data platform, including Data License Plus, QDS and cloud delivery through Snowflake and Databricks, designed to make data easier to discover, evaluate and integrate into quantitative and AI-driven workflows. 🔸 The human element remains central to successful AI adoption, with domain expertise, judgment and accountability still essential even as AI takes on more data aggregation, pattern recognition, research and execution tasks. 🔸 AI is expected to materially reshape investment research and alpha generation, accelerating discovery and productivity while also compressing the lifespan of differentiated insights and raising the importance of efficient, well-governed AI infrastructure. 🔸 Private markets are becoming a major focus for data and AI innovation, with firms seeking greater transparency and a more connected view across public and private assets. Bloomberg’s acquisition of Canoe Intelligence was highlighted as a step toward enabling a more complete “total portfolio view.” Thank you to our speakers, clients and attendees for the conversation.

How could the US midterm elections reshape policy pressure across industries, including AI and tech regulation, agriculture, energy, and private equity? ⚖️ Depending on how control of Congress shifts, the election could change the balance between legislation, executive action and deregulation. @BBGIntelligence breaks down what could come next for policy, markets and corporate strategy after the midterms. Terminal clients can access the link to read the full outlook: bloom.bg/3WjWYg4

Halloween spending may be rising, but chocolate is telling a different story. 🍫🎃 @BBGIntelligence analysis shows how higher prices and affordability pressures are reshaping chocolate demand this Halloween: 👻 Volumes are falling: Halloween chocolate volumes could decline as much as 11% this year. 👻 Seasonal chocolate is feeling the squeeze: Volumes are down 14%, compared with a 6.5% decline for nonseasonal chocolate. 👻 Consumers are looking for value: Mass-market and private-label products are proving more resilient as elevated prices weigh on premium brands. 📖 Read the full Bloomberg Intelligence analysis on what Halloween chocolate sales reveal about pricing, demand and shifting consumer behavior: bloom.bg/4ieseWf

Need to find liquidity in fast-moving credit markets? 📈 Use natural language in IMGR <GO> to screen fixed income inventory against your criteria and see relevant live axes in one place.

What does AI need to turn data access into actionable insights? 🤖📊 High quality financial data is only the starting point. Without the right context, AI may struggle to understand what the data means and how it connects. Brian Doherty explains why semantic metadata matters for decision-ready data. Watch the full Data in Focus conversation: bloom.bg/4z6bjuR

Bloomberg’s Crypto Exposure Analytics now supports clients in assessing their compliance with the Basel Committee on Banking Supervision’s (BCBS) prudential standards for banks’ exposure to crypto assets and tokenized real-world assets. Learn more ➡ bloom.bg/4z4yBRK

Want to know when a large option trade could move the market? 📈 BTM <GO>, our Block Trade Monitor, helps you zero in on large trades with customizable alerts, so the activity that matters comes directly to you.

Unlock your firm’s intelligence with ASKB, now generally available. 💡 Surface the signals, context and perspectives most relevant to your investment decisions, all in one place. Query your coverage lists and thematic universes, and analyze them alongside Bloomberg’s own data, news and research. Learn more: bloom.bg/4Bct9hq

📣 Now available on the Bloomberg Terminal: proprietary research from @CBinsights, the leading authority on private technology companies. Bloomberg Terminal clients can now access select CB Insights’ research reports, delivering data-driven analysis of private companies, investment activity, market trends and emerging technologies. By bringing CB Insights’ research reports into Bloomberg, clients can incorporate these insights into their broader research and investment processes on the Terminal to help surface differentiated intelligence and strengthen decision-making. Read CB Insights’ research at: NH CBZ <GO>

Credit loves Delta. Costs don't. ✈️ @Delta reports today with some of the cheapest funding in the airline sector. Now earnings will show whether pricing power is keeping pace with the cost of flying. Use FIW <GO> on the Bloomberg Terminal to: 🔹 create and share custom worksheets to analyze pricing, performance, relative value, and liquidity across lists of up to 20,000 instruments 🔹 analyze lists from multiple Bloomberg Terminal sources 🔹 progressively refine the universe of instruments to discover new investment ideas and opportunities.

Private markets make up a growing share of institutional portfolios, yet the data behind them remains fragmented and difficult to use. Canoe helps address this challenge by turning complex private fund information into structured, actionable data. Bloomberg has completed its acquisition of Canoe Intelligence, bringing together Canoe’s expertise in sourcing, structuring and validating permissioned private fund data with Bloomberg’s data management expertise, technology and scale. Together, Bloomberg and Canoe will expand value across the full investment lifecycle, unlocking: • A total portfolio view across public and private investments • Deeper pre-investment intelligence • More connected data infrastructure • AI-powered insights As Bloomberg CEO Vlad Kliatchko said, “Together, we can deliver a seamless investment experience across public and private markets.” Welcome to the team, Canoe. Learn how Bloomberg and Canoe are bringing greater connectivity to private markets: bloom.bg/4yq1iIN

Most AI agents in financial services can retrieve a number. Very few can tell you what it means, how it was calculated, or whether it's the right one to act on. 🔎 That's the gap Bloomberg Enterprise MCP is built to close. It's a new AI access layer for Data License Plus that gives clients' AI agents standardized access to Bloomberg data across more than 100M securities and 50K+ fields, along with the context an agent needs to know what a number actually represents: currency, price type, as-of date, and how it connects to other data. Instead of spending time hunting for the right dataset and reconciling identifiers by hand, users can simply ask for what they need in plain language and get back data they can trust and act on immediately, helping turn generative AI from a pilot into something firms can put to work every day. Looking ahead, we're extending Enterprise MCP with real-time data and bringing the same governed access to Terminal subscribers' daily workflows. See how Bloomberg is building for the agentic AI era 👉 bloom.bg/4d7beyb