Bloomberg has launched a new price monitoring tool specifically for FX quotes, designed to support investors with discovering insights from their Instant Bloomberg (IB) chats.
The new solution – MYQ – displays FX quotes detected by Bloomberg’s natural language processing (NLP) within a user’s IB chats, to then allow user to monitor their FX pricing by organising scattered chat-based quotes into clear actionable data, ultimately enhancing price discovery.
Specifically, the launch aims to support participants in the FX market in maximising their pre-trade workflow efficiency by streamlining fragmented pricing communications into a centralised, FX curve-style format that groups quotes by currency pairs, tenors and bid/offer levels.
Through the new offering, Bloomberg aims to address ongoing challenges which arise from manual processes, namely the ‘swivel chair’ challenge, which sees trader constantly moving between applications, communications systems and chat rooms to assess pricing, determine counterparty quote relevance and validate market interest.
By using this manual stream, traders have historically faced obstacles such as operational inefficiency, causing missed opportunities in the markets, lack of liquidity from workflow challenges and competitive disadvantages from failures to identify or respond to chat-based quotes.
Speaking on the new solution, Ed Loftus, head of FX relative value and applications at Bloomberg, said: “FX market participants often need to sift through massive quantities of fragmented pricing data across dozens of applications just to source the right liquidity to meet their objectives.
“By harnessing Bloomberg’s NLP to structure chat-based quotes within the MYQ solution, we are transforming how clients quickly find prices and streamline FX trade negotiation.”
The firm has also highlighted key features of the MYQ solution, spanning a history tab to log price quotes, click-to-navigate functionality to jump directly to the chat room where a quote originated, and post history, chat room filters and default currencies as advanced customisation options.
The news also builds on further recent chat-based developments for Bloomberg, with the firm launching enhancements to its existing real-time news feeds offerings in March 2026, by enabling customisable capabilities to deliver machine-readable news.
Similarly, in February, Bloomberg embedded agentic AI into the Terminal through the launch of conversational interface, ASKB, which is designed to help traders and investment professionals analyse markets, generate insights and act on information more quickly.




















