Is this MCP for individual stock analysis or groups of stocks?

This MCP is designed for groups of correlated assets. It treats the entire group, or 'basket,' as a single unit for performance evaluation, which is key for quantitative trading.

What kind of risk management does it include?

It includes built-in risk management features. Specifically, you can use concentration filters and stop-loss logic to flag assets that are over-weighted or pose excessive risk.

What metrics can I calculate?

You can calculate core metrics like tracking error and information ratio. These numbers help you quantify how closely the basket tracks its benchmark.

How do I know if I should buy or sell?

You ask the MCP to evaluate the trading signal. It determines a specific action—BUY, SELL, or HOLD—based on the basket's current trend and spread.

Does it just list the assets in the basket?

No. It provides a full summary of the basket's composition, showing the weight and correlation of each asset relative to the benchmark.

How does the system determine a BUY signal?

A BUY signal is generated when the basket's spread is positive and the basket price is above its 20-day Moving Average, provided the correlation with the benchmark is above 0.8 and no single asset exceeds 30% weight.

What is the purpose of the concentration filter?

The concentration filter prevents excessive risk by forcing a HOLD signal if any single asset in the basket accounts for more than 30% of the total weight.

Can I use this with Cursor or Claude Desktop?

Yes, this MCP server can be connected to Cursor, Claude Desktop, VS Code, Windsurf, and any other MCP-compatible client via Vinkius Edge.

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Connect Basket Trading Strategy 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 high-probability trade signals using correlated assets.

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.

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 Basket Trading Strategy.

01
Calculate basket performance
Calculates core performance metrics for the basket and the benchmark
02
Get basket composition
Provides a summary of the basket composition and its relation to the benchmark
03
Evaluate trading signal
Determines the specific trade action (BUY, SELL, HOLD)

Real work

What teams actually run

Evaluating Sector Bets

You want to know if a group of tech stocks (a sector basket) is performing well compared to the overall NASDAQ index. The MCP calculates the spread and tracking error.

Pre-Trade Risk Check

Before deploying capital, you run the MCP to check if any single asset in your basket exceeds the acceptable concentration limit.

Signal Confirmation

You run the MCP to confirm if the current market trend suggests a buy or sell action, cross-referencing the signal with the basket's historical performance.

Portfolio Rebalancing

You use the MCP to get a full composition report, helping you identify which assets need to be trimmed or added to maintain balance.

One connector, every AI

Basket Trading 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.

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

You don't need a client to put Basket Trading 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

884ms average. Fast in production.

Basket Trading Strategy is checked daily against the live service.

Daily averagePeak 1047ms

Oct 3Today

Fastest day: 746ms
Slowest day: 1047ms
14-day trend: Improving-21%

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 Basket Trading Strategy, so you can see the experience inside your AI.

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

Basket Trading Strategy Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_4MklCizkNTMblRdHgsSgN8k19xf1LLgbjkKv96Pq/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 — Basket Trading Strategy capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "basket-trading-strategy-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_4MklCizkNTMblRdHgsSgN8k19xf1LLgbjkKv96Pq/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 Basket Trading Strategy in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Basket Trading Strategy owners hand off.

This MCP is built for quantitative analysts and portfolio managers who need to move beyond single-asset analysis. If you manage multiple correlated assets, this capability gives you a deterministic way to evaluate the group's performance and risk profile.

01
Quantitative Analyst
Use the MCP to derive metrics like tracking error and information ratio to backtest strategies.
02
Portfolio Manager
Get an immediate signal (BUY, SELL, or HOLD) for a basket, factoring in concentration risk.
03
Algorithmic Trader
Inspect asset weights and correlation to ensure your basket adheres to strict risk parameters.

FAQ

Questions Basket Trading Strategy owners ask.

01
Is this MCP for individual stock analysis or groups of stocks?
This MCP is designed for groups of correlated assets. It treats the entire group, or 'basket,' as a single unit for performance evaluation, which is key for quantitative trading.
02
What kind of risk management does it include?
It includes built-in risk management features. Specifically, you can use concentration filters and stop-loss logic to flag assets that are over-weighted or pose excessive risk.
03
What metrics can I calculate?
You can calculate core metrics like tracking error and information ratio. These numbers help you quantify how closely the basket tracks its benchmark.
04
How do I know if I should buy or sell?
You ask the MCP to evaluate the trading signal. It determines a specific action—BUY, SELL, or HOLD—based on the basket's current trend and spread.
05
Does it just list the assets in the basket?
No. It provides a full summary of the basket's composition, showing the weight and correlation of each asset relative to the benchmark.
06
How does the system determine a BUY signal?
A BUY signal is generated when the basket's spread is positive and the basket price is above its 20-day Moving Average, provided the correlation with the benchmark is above 0.8 and no single asset exceeds 30% weight.
07
What is the purpose of the concentration filter?
The concentration filter prevents excessive risk by forcing a HOLD signal if any single asset in the basket accounts for more than 30% of the total weight.
08
Can I use this with Cursor or Claude Desktop?
Yes, this MCP server can be connected to Cursor, Claude Desktop, VS Code, Windsurf, and any other MCP-compatible client via Vinkius Edge.

Explore

More in Finance

Connect Basket Trading Strategy 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

Calculate basket performance

Get basket composition

Evaluate trading signal

What teams actually run

Evaluating Sector Bets

Pre-Trade Risk Check

Signal Confirmation

Portfolio Rebalancing

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

Basket Trading Strategy Connector

Claude Desktop

Quantitative Analyst

Portfolio Manager

Algorithmic Trader

Is this MCP for individual stock analysis or groups of stocks?

What kind of risk management does it include?

What metrics can I calculate?

How do I know if I should buy or sell?

Does it just list the assets in the basket?

How does the system determine a BUY signal?

What is the purpose of the concentration filter?

Can I use this with Cursor or Claude Desktop?

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