Accelerating TCA and Market Structure Analysis with OneTick Cloud MCP

Trading analytics depend on more than knowing the calculation you want to perform. You also need the correct market data, schema, query syntax, venue conventions, and analytical functions.

In this on-demand webinar, Peter Simpson demonstrates how the OneTick Cloud Model Context Protocol (MCP) service gives AI assistants access to OneTick documentation and market data coverage so users can develop trading analytics in SQL and Python with more relevant technical context.

See OneTick Cloud MCP in a Trading Analytics Workflow

The session starts with the data environment behind the analysis. OneTick Cloud provides historical and real-time market data across global equities, futures, options, spreads, crypto, and FX, including detailed schema and field information.

Peter then connects the OneTick Cloud MCP service to an AI coding assistant and works through a series of practical analytics tasks.

What You’ll See

Generate TCA Analytics in SQL and Python

See MCP retrieve OneTick documentation and examples for calculations including TWAP and VWAP, with alternative query patterns for different analytical requirements.

Diagnose Query Errors

Follow an example where MCP checks documentation, schemas, and databases to identify multiple errors in a five-minute aggregation query and return corrected OneTick SQL.

Find the Right Market Data

See how MCP can answer questions about available datasets, tables, fields, enumerations, trading hours, and holidays without requiring the user to know the relevant database structure in advance.

Build Market Structure Analysis

The demonstrations cover workflows including ADV, prevailing quotes, national best bid and offer data, time-weighted spreads by exchange, and quote retrieval around specified timestamps.

Understand Authentication and Data Access

The Q&A covers single sign-on, HTTPS, user permissions, client-side and cloud execution, customer datasets, and the deployment model for MCP alongside OneTick environments.

Who Should Watch

This session is designed for:

  • Quantitative developers
  • Trading analytics teams
  • Market structure analysts
  • Data engineers
  • Market data teams
  • Technical evaluators working with OneTick

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