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Connect Pairs Trading Strategy Engine to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Identify mean-reverting asset pairs and automate signal generation.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Pairs Trading Engine.

  1. 01

    Analyze pair relationship

    This capability validates if two assets are statistically stable enough for pairs trading. It checks for cointegration and half-life to ensure the relationship is reliable.

  2. 02

    Calculate spread metrics

    This capability provides a real-time snapshot of the current spread. It tracks recent volatility and z-score deviations.

  3. 03

    Generate trading signals

    This capability simulates trading strategies over historical data. It identifies specific entry and exit points based on your parameters.

Real work

What teams actually run

01

Pair Selection

Use the MCP to filter through asset lists to find pairs with stable cointegration.

02

Strategy Backtesting

Run historical simulations to test how a specific z-score threshold performs over time.

03

Real-time Monitoring

Track the current z-score of a pair to catch deviations as they happen.

04

Risk Assessment

Analyze spread volatility to understand the risk of a mean-reversion trade.

One connector, every AI

Pairs Trading Engine works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Pairs Trading Engine to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

909ms average. Fast in production.

Pairs Trading Engine is checked daily against the live service.

Daily averagePeak 1067ms
Oct 3Today
Fastest day
649ms
Slowest day
1067ms
14-day trend
Improving-14%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Pairs Trading Engine, so you can see the experience inside your AI.

It does not authenticate your account with Pairs Trading Engine. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Pairs Trading Engine Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_fR7Wf0hWapXR13V1VXTEZOFEzjbZp3DEKpJbfA80/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Pairs Trading Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "pairs-trading-strategy-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_fR7Wf0hWapXR13V1VXTEZOFEzjbZp3DEKpJbfA80/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Pairs Trading Engine in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Pairs Trading Engine owners hand off.

Quantitative traders and financial analysts who need to automate the math behind statistical arbitrage.

  • 01

    Quantitative Researcher

    Hands off the heavy statistical calculations and backtesting to the AI.

  • 02

    Algorithmic Trader

    Uses the MCP to generate and validate signals for automated execution.

  • 03

    Financial Analyst

    Leverages the capability to monitor asset correlations and spread volatility.

FAQ

Questions Pairs Trading Engine owners ask.

  • 01

    What kind of trading strategies does this MCP support?

    It is built specifically for statistical arbitrage and mean-reversion strategies using log-spreads and z-scores.

  • 02

    Can I use this with Claude or Cursor?

    Yes, you can connect this MCP to any MCP-compatible client including Claude, Cursor, and Windsurf.

  • 03

    How does the engine identify trading opportunities?

    The engine monitors the z-score of the spread between two assets to identify when they have deviated from their equilibrium.

  • 04

    Does this MCP host the data?

    Vinkius hosts the MCP and manages the execution, allowing your AI client to call the capabilities directly.

  • 05

    What is the purpose of the analyze_pair_relationship capability?

    It validates if two assets are suitable for trading by checking their statistical stability and cointegration.

  • 06

    How do I know if a pair is suitable for trading?

    You can use the analyze_pair_relationship capability. It checks for cointegration via the ADF test and ensures the spread half-life is under 30 days.

  • 07

    What triggers a trading signal?

    Signals are triggered by z-score thresholds. A Short Spread occurs when the z-score exceeds 2.0, and a Long Spread occurs when it falls below -2.0.

  • 08

    How are stop-losses handled?

    A stop-loss is automatically triggered if the z-score reaches 3.0 or if the total position value drops by 5%.

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