What kind of trading strategy does this MCP support?

It supports statistical arbitrage through deterministic pairs trading based on mean reversion.

How does the MCP ensure the quality of trading pairs?

The engine requires a half-life of mean reversion to be under 30 days to ensure the relationship is suitable for trading.

Which AI clients can I use with this MCP?

You can connect this MCP to any compatible client like Claude, Cursor, Windsurf, or VS Code.

What mathematical tests are used for cointegration?

The MCP uses the Augmented Dickey-Fuller (ADF) test and logarithmic spreads.

Can I get specific exit prices from this capability?

Yes, the calculate_position_metrics capability provides precise target prices and stop-loss levels.

How does the engine determine if a pair is tradeable?

The engine uses analyze_pairs_cointegration to check if the spread is stationary via an ADF test. A pair is only considered tradeable if the p-value is below 0.05 and the half-life of mean reversion is less than 30 days.

What information is provided for each trade signal?

By using generate_trading_signals, you receive the bar index, signal type (BUY/SELL/EXIT), entry prices for both assets, the hedge ratio, and specific stop-loss and target prices.

Can I customize the entry and exit thresholds?

Yes, when calling generate_trading_signals, you can specify custom entryZScore, exitZScore, and stopLossZScore parameters to match your specific risk profile.

An astronaut overseeing a futuristic data hub

Download PDF Markdown Version

Connect Statistical Arbitrage Pairs 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. Execute mean-reverting trades using precise mathematical signals.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

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

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.

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 Statistical Arbitrage Engine.

01
Analyze pairs cointegration
This capability checks if two assets have a stable, mean-reverting relationship. It uses statistical tests to confirm if a pair is actually suitable for trading.
02
Calculate position metrics
This capability provides the exact parameters for trade execution. It calculates target prices and stop-loss levels for a given signal.
03
Generate trading signals
This capability produces specific entry, exit, and stop-loss triggers. It relies on z-score thresholds and cointegration filters to find the right moments to trade.

Real work

What teams actually run

Pair Discovery

You can test if two specific stocks or assets share a stable relationship.

Signal Validation

Your agent can check if a current price divergence meets z-score entry requirements.

Risk Management

You can calculate specific stop-loss levels based on statistical volatility.

Strategy Backtesting Support

Use the engine to generate theoretical entry and exit points for historical data.

One connector, every AI

Statistical Arbitrage 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.

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

You don't need a client to put Statistical Arbitrage 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

861ms average. Fast in production.

Statistical Arbitrage Engine is checked daily against the live service.

Daily averagePeak 960ms

Oct 8Today

Fastest day: 680ms
Slowest day: 960ms
14-day trend: Improving-8%

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 Statistical Arbitrage Engine, so you can see the experience inside your AI.

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

Statistical Arbitrage Engine Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_pJhH92MSTPFYcNSl8DqLL4oAsumypYyYqmqWuN4O/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — Statistical Arbitrage Engine capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "statistical-arbitrage-pairs-strategy-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_pJhH92MSTPFYcNSl8DqLL4oAsumypYyYqmqWuN4O/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 Statistical Arbitrage Engine in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Statistical Arbitrage Engine owners hand off.

This MCP is built for professionals who need to move from raw data to mathematical trading signals without manual calculation.

01
Quantitative Traders
They hand off the cointegration testing and signal math to the AI.
02
Algorithmic Developers
They use the deterministic engine to validate strategy logic.
03
Data Analysts
They use the capability to find mean-reverting asset pairs in large datasets.

FAQ

Questions Statistical Arbitrage Engine owners ask.

01
What kind of trading strategy does this MCP support?
It supports statistical arbitrage through deterministic pairs trading based on mean reversion.
02
How does the MCP ensure the quality of trading pairs?
The engine requires a half-life of mean reversion to be under 30 days to ensure the relationship is suitable for trading.
03
Which AI clients can I use with this MCP?
You can connect this MCP to any compatible client like Claude, Cursor, Windsurf, or VS Code.
04
What mathematical tests are used for cointegration?
The MCP uses the Augmented Dickey-Fuller (ADF) test and logarithmic spreads.
05
Can I get specific exit prices from this capability?
Yes, the calculate_position_metrics capability provides precise target prices and stop-loss levels.
06
How does the engine determine if a pair is tradeable?
The engine uses analyze_pairs_cointegration to check if the spread is stationary via an ADF test. A pair is only considered tradeable if the p-value is below 0.05 and the half-life of mean reversion is less than 30 days.
07
What information is provided for each trade signal?
By using generate_trading_signals, you receive the bar index, signal type (BUY/SELL/EXIT), entry prices for both assets, the hedge ratio, and specific stop-loss and target prices.
08
Can I customize the entry and exit thresholds?
Yes, when calling generate_trading_signals, you can specify custom entryZScore, exitZScore, and stopLossZScore parameters to match your specific risk profile.

Explore

More in Finance

Connect Statistical Arbitrage Engine to Claude, Cursor, ChatGPT & more

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

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-03

Analyze pairs cointegration

Calculate position metrics

Generate trading signals

What teams actually run

Pair Discovery

Signal Validation

Risk Management

Strategy Backtesting Support

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

Statistical Arbitrage Engine Connector

Claude Desktop

Quantitative Traders

Algorithmic Developers

Data Analysts

What kind of trading strategy does this MCP support?

How does the MCP ensure the quality of trading pairs?

Which AI clients can I use with this MCP?

What mathematical tests are used for cointegration?

Can I get specific exit prices from this capability?

How does the engine determine if a pair is tradeable?

What information is provided for each trade signal?

Can I customize the entry and exit thresholds?

Pairs Trading Cointegration Strategy AI Connector

Pairs Trading Strategy Engine AI Connector

Mean-Reversion Ensemble Strategy AI Connector

Futures Statistical Arbitrage Strategy AI Connector

Suggestions

Mean Reversion Strategy AI Connector

Futures Mean Reversion Strategy AI Connector

Fisher Transform Strategy AI Connector

Gap Fill Strategy AI Connector