RFQs in chat get lost. Traders negotiate, agree and move on, but the information never leaves the conversation.
Quote Hub can help. Working from inside the customer's own chat, it captures, structures and records every RFQ, along with the responses, directly from chat, preserving the human conversation while enabling automation, control and auditability.
Traditional RFQ workflows inside chat can be limited by how many dealers a trader can talk to. As volumes rise and market conditions tighten, buy-side desks cannot afford to lose information from not being able to talk to the whole market. Having to record, understand and reply to each response manually risks the manual model breaking down under pressure.
Quote Hub addresses this without forcing traders to change behaviour. It fits into existing buy-side workflows, turning every RFQ and response into a structured data record that can be used by the trader in decision-making and in market analytics later.
1. Initiate naturally
A trader types an RFQ as usual into chat. Quote Hub identifies the message as an RFQ, converts it into a structured data object, capturing fields like size, product, tenor, counterparty and keeps an eye on the responses in the chat thread.
2. Broadcast intelligently
With one click, the same RFQ can be resent to multiple dealers across multiple chatrooms simultaneously, expanding reach and speeding up price discovery without duplicating effort or manual copying and pasting.
3. Aggregate in real time
Dealer responses are parsed and ranked instantly. Quotes are time-stamped, structured and auditable, allowing side-by-side comparison without manual copying or rekeying. More responses can be analysed with less effort.
4. Human-in-the-loop validates, and the system learns
RFQs can be updated by the trader if needed, for example, a symbol misread; Quote Hub learns from it. Accuracy typically exceeds 90% within the first fifty RFQs, improving continuously. Each customer's training is used on each customers data only, not training it for their competitors.
5. Execute and record
The trader confirms the preferred price in chat. Quote Hub sends an automated confirmation to the winning dealer and lets everyone else know through notifications to others, and books the trade straight into downstream systems, EMS, OMS or risk, through secure APIs.
Quote Hub connects pre-trade RFQs, trade capture, booking and analytics into a single controlled workflow. Each stage feeds the next:
RFQs initiated in the chat feed trade capture and booking.
Booking data feeds, analytics and compliance dashboards.
The same flow improves continuously through validation feedback.
For desks and risk teams, it delivers a coherent pre-trade-to-booking data lineage for the first time, structured, time-stamped, and audit-ready.
ipushpull delivers Quote Hub as an implementation within the customer's own chat environment, ensuring alignment with the customer's chat API programme and governance standards.
Runs inside the customer's infrastructure (e.g. AWS VPC).
Uses only APIs and data already licensed to the customer.
Keeps all chat data under the customer's data policies; it never leaves their control.
This approach enables trading teams to automate safely within the chat platform provider's guardrails, achieving workflow efficiency without compromising relationships or compliance.
Speed & Reach: Send an RFQ to more dealers sooner.
Time saved: 75%+ reduction in manual trade entry time.
Zero rekeying: Quotes flow straight from chat into structured fields, ready for booking or analytics.
Data Feedback Loop: Historical response data can be analysed by product, counterparty or market condition to rank dealers by metrics like response time, hit ratio, and bid-offer width
By combining RFQs with chat, trading becomes:
Faster: automation handles the distribution and aggregation, freeing traders to focus on decisions.
Smarter: the system learns and improves with every trade.
More Transparent: audit trails link every price to every chat message.
More Insightful: historical chat data becomes a dataset for performance analytics, not a black hole.
Quote Hub proves that automation, control and compliance can coexist inside chat. It’s the practical route from conversation to confirmation, a consultative, chat platform-aligned implementation that transforms how RFQs move from message to trade. For more information on Quote Hub, head to this page.