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Connect Futures Relative Value 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. Find arbitrage opportunities in futures markets using statistical models.

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 Futures Relative Value Strategy.

  1. 01

    Generate signal

    This capability produces daily trading directions. It compares current price ratios against statistical bounds and fundamental fair values to output BUY or SELL signals.

  2. 02

    Analyze relationship

    This capability evaluates how two futures contracts relate to each other. It looks at statistical correlation and liquidity to ensure the pair is tradeable.

  3. 03

    Calculate fair value

    This capability establishes a fundamental baseline for a spread. It determines the expected ratio between two contracts using historical averages and physical market drivers.

Real work

What teams actually run

01

Crude Oil Spread Trading

Your agent compares WTI and Brent to find mispricings in the energy sector.

02

Statistical Mean Reversion

Identify when a highly correlated pair of futures has drifted too far from its historical average.

03

Fundamental Value Checks

Verify if a current market ratio aligns with physical costs and historical norms.

04

Automated Signal Monitoring

Set your agent to watch specific spreads and alert you when a z-score hits a certain level.

One connector, every AI

Futures Relative Value Strategy 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 Futures Relative Value Strategy 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

876ms average. Fast in production.

Futures Relative Value Strategy is checked daily against the live service.

Daily averagePeak 988ms
Oct 3Today
Fastest day
692ms
Slowest day
988ms
14-day trend
Stable-2%

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 Futures Relative Value Strategy, so you can see the experience inside your AI.

It does not authenticate your account with Futures Relative Value Strategy. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Futures Relative Value Strategy Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_KfwEE8VhbmVm5Yiq5gql4fpIgvWaz7MhDRoGHrPt/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 — Futures Relative Value Strategy capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "futures-relative-value-strategy-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_KfwEE8VhbmVm5Yiq5gql4fpIgvWaz7MhDRoGHrPt/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 Futures Relative Value Strategy in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Futures Relative Value Strategy owners hand off.

This MCP is built for professionals managing quantitative or systematic trading strategies in the futures markets.

  • 01

    Quantitative Traders

    They hand off the heavy lifting of z-score and fair value calculations to the agent.

  • 02

    Commodity Analysts

    They use the capability to compare theoretical spreads against real-time market prices.

  • 03

    Algorithmic Developers

    They use the deterministic logic to validate trading signals within their workflows.

FAQ

Questions Futures Relative Value Strategy owners ask.

  • 01

    What kind of trading strategies does this MCP support?

    It is designed for relative value and statistical arbitrage strategies in futures markets.

  • 02

    How does the MCP determine a fair value?

    It uses historical averages combined with physical market drivers like quality adjustments and logistics costs.

  • 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 determines a trading signal?

    Signals are generated by comparing the current price ratio against statistical z-scores and fundamental fair values.

  • 05

    Does it account for market noise?

    Yes, the system can use noise filters to ensure signals are only generated when price changes exceed specific thresholds.

  • 06

    What kind of futures contracts can I trade with this strategy?

    The strategy is designed for highly liquid, related commodities. It uses analyze_futures_relationship to verify that both contracts have an Open Interest greater than 10,000 and a correlation higher than 0.8 before generating a signal. Capabilities available: analyze_relationship_tool, calculate_fair_value_tool, generate_signal_tool.

  • 07

    How is the theoretical fair value calculated?

    The fair value is determined by the calculate_theoretical_fair_value capability, which sums the historical average ratio, the quality adjustment (intrinsic value difference), and the logistics cost (transportation expense).

  • 08

    What triggers a trading signal?

    A signal is generated via generate_trading_signal when the z-score indicates a significant deviation. A BUY signal occurs if the z-score is below -2.0 and the ratio is above the theoretical value. A SELL signal occurs if the z-score is above 2.0 or the ratio is below the theoretical value.

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