ipushpull report highlights chat strategies are integral to driving the next phase of automation across the trading lifecycle

LONDON, 30 May, 2024: ipushpull, a leading provider of live data sharing and workflow automation services, has published a report providing a comprehensive analysis of how chat strategies can be deployed to enhance institutional trading, as chatbots and AI play a growing role in facilitating interactions between counterparties and the lifecycle of a trade.


The report’s key findings include the extent to which chat functionality is being used to autonomously extract, capture, standardise and interpret structured and unstructured data from a diverse range of sources. It also highlights the challenges institutions face in implementing cohesive chat strategies, expanding chatbot adoption and effectively integrating functionality to drive internal efficiencies and enhance client service.


For the report, ipushpull interviewed senior figures in financial services, tech and academia including Kepler Chevreux, Trayport, Symphony, Microsoft, UCL and SIX to gauge their view on how their chat strategies are evolving. The report identifies three types of chatbots that have become integral chat strategies that look to enhance the trading lifecycle:

  1. On-demand bots: Chatbots that are activated via command line prompts to fetch data and prices.
  2. Capture bots: Chatbots that capture relevant information from a chat, for example capturing trade information via chat and actioning into an internal OMS.
  3. LLM chatbots: Chatbots that can be trained to execute a range of complex tasks and workflows, such as extracting, transforming and aggregating complex data or producing sophisticated predictive analytics.


The report highlights how chat strategies can be deployed through the coordinated integration of chatbots across the trade lifecycle from pre- to post-trade and the current capabilities of chatbots:

  • Price discovery: Chatbots are being used to drive the automatic, personalisation of prices directly to client chats.
  • Pre-trade negotiation: Chatbots are being used to define potential trade details such as price, quantity, delivery terms and settlement procedures.
  • Trade capture, booking and reporting: Automatic capture of key details directly from chat conversations – storing data in standardised and original formats for compliance.
  • Post-trade confirmations: Using electronic confirmations directly within chat minimises manual input errors and improves compliance audit.


Matthew Cheung, CEO of ipushpull, said: “Chat functionality is changing how institutions interact, trade and report. The advent of chatbots such as ChatGPT has opened firms’ eyes to the power of AI-enabled chatbots and has revealed the breadth of application in financial services – from interpreting user queries and providing relevant responses to personalising information delivery, by incorporating opensource models for testing and evaluation."


“Despite the chatbot’s level of sophistication, we are still at an early stage in its adoption and development. Firms therefore need to understand how this technology can be leveraged and deployed as part of an overarching chat strategy. Those not already using or planning to use the technology risk ingraining inefficiencies and could miss out on trading opportunities, as chat becomes a go-to means of interacting and connecting with counterparties.”


The report outlines the likely future of chat strategy: co-pilots. AI assistants within chat platforms will soon be able to automate an even greater range of workflows and can even be activated by voice. Key to securing this future will be ensuring interoperability between platforms and systems, and that tools are secure and compliant.




Steve Tassell 


About ipushpull

ipushpull is a leading independent capital markets FinTech firm, transforming data-driven services and operations for leading brokers, banks, asset managers, venues, exchanges, crypto, reference data providers and many other data-driven businesses.

The ipushpull data sharing and workflow platform enables the delivery of real-time data on demand into client applications such as chat and Excel, all integrated into configurable workflows. ipushpull complements and enhances existing data distribution and dedicated screens with its omnichannel delivery model providing a wide choice of delivery options through a single integration including chatbots, Excel and APIs while replacing inefficient manual, email and file-based workflows.

ipushpull’s deep domain experience combined with the low-code/no-code ipushpull platform provides a fast, cost-effective, and future-proofed way to transform our customer’s operational efficiency and their client service, reducing costs and enabling their businesses to grow fast.

For more information about ipushpull and its services, please visit ipushpull.

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