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Connect Pairs Trading Cointegration Strategy to your AI

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 and trade mean-reverting asset pairs with statistical precision.

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 cointegration

    Tests if two assets share a statistically significant cointegrated relationship. It returns the hedge ratio, p-value, and the half-life of mean reversion.

  2. 02

    Generate trading signals

    Produces specific entry, exit, and stop-loss signals. It uses daily z-scores to determine when a spread has deviated enough to warrant a trade.

  3. 03

    Calculate position sizing

    Calculates the specific quantities of each asset needed for a trade. This ensures the resulting position remains dollar-neutral based on the hedge ratio.

Real work

What teams actually run

01

Statistical Arbitrage

Identify pairs of stocks or crypto assets that historically move together to trade their spread.

02

Risk-Neutral Trading

Use the sizing capability to ensure long and short positions offset each other's dollar value.

03

Signal Validation

Check if a perceived correlation between two assets is statistically significant before trading.

04

Automated Strategy Backtesting

Feed price series into the agent to test how a cointegration strategy would have performed.

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

883ms average. Fast in production.

Pairs Trading Engine is checked daily against the live service.

Daily averagePeak 1085ms
Oct 3Today
Fastest day
767ms
Slowest day
1085ms
14-day trend
Slowing+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_gVhHQcUXa5feMBoutCrUc926mCkFyVloRvHYiZMj/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-cointegration-strategy-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_gVhHQcUXa5feMBoutCrUc926mCkFyVloRvHYiZMj/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.

This MCP is built for professionals who need to bridge the gap between quantitative models and AI-driven execution.

  • 01

    Quantitative Traders

    They hand off the heavy math of cointegration and sizing to the agent.

  • 02

    Algorithmic Developers

    They use the deterministic engine to validate their own trading logic.

  • 03

    Risk Managers

    They rely on the dollar-neutral sizing to maintain portfolio balance.

FAQ

Questions Pairs Trading Engine owners ask.

  • 01

    What mathematical model does this MCP use?

    The MCP uses the Engle-Granger methodology to identify cointegrated relationships between assets.

  • 02

    How does it ensure my trades are dollar-neutral?

    The calculate_position_sizing capability uses the calculated hedge ratio to determine the exact quantities of each asset needed to balance the trade.

  • 03

    Can I use this with Claude or Cursor?

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

  • 04

    What kind of signals does it produce?

    It produces entry, exit, and stop-loss signals based on calculated z-score deviations.

  • 05

    Does this MCP host the data?

    Vinkius hosts and manages the MCP, so you don't need to set up your own environment to run these capabilities.

  • 06

    How does the engine confirm a pair is tradeable?

    The engine uses analyze_pair_cointegration to perform an ADF test. A pair is considered tradeable if the p-value is less than 0.05 and the half-life of mean reversion is below the specified limit.

  • 07

    What is a dollar-neutral position?

    A dollar-neutral position is achieved using calculate_position_sizing, where the total dollar value of the long position equals the total dollar value of the short position, minimizing market exposure.

  • 08

    Can I customize the entry and exit thresholds?

    Yes, the generate_trading_signals capability allows you to specify custom entry, exit, and stop-loss z-score thresholds.

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