- WEIGHTS
- RISK
- DATA
- HUMAN
Short answer
How do I find the minimum variance portfolio with my AI?
Give your AI a list of assets and their historical price data. It uses the calculate_minimum_variance tool to solve for the specific weights that result in the lowest possible portfolio volatility. You'll get a clear breakdown of the optimal allocation.
The results you get.
What the AI delivers.
The optimization process produces three specific outputs.
WEIGHTS
Optimal asset allocation
The AI uses calculate_minimum_variance to determine exactly how much of each asset to hold to minimize risk.
RISK
Expected volatility
You get the calculated standard deviation for the new portfolio, showing the actual risk reduction.
DATA
Validated return metrics
The agent processes your raw price data into the covariance matrix needed for the math.
HUMAN
Final decision making
The AI provides the math, but you decide if these weights fit your liquidity needs or other constraints.
The workflow
What your AI does when the data arrives.
Your agent moves from raw data to a mathematical solution through these steps.
Data ingestion
Your agent reads your asset list and historical price series from your provided source.
calculate_minimum_varianceMatrix construction
The AI calculates the covariance and expected returns for every asset in your list.
calculate_minimum_varianceOptimization
The agent solves the quadratic programming problem to find the point of lowest variance.
calculate_minimum_varianceWeight distribution
The AI outputs the final percentage weights for each ticker in your portfolio.
calculate_minimum_variance
Try it
Copy these to start.
Paste these prompts into your chat to begin the calculation.
Starting points
Swap the bracketed text for your actual ticker symbols or file names.
Efficient Frontier Calculator Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_IbhrA9anvOg60zL2oxV3IZO55VOjAZCfasamdXI1/mcpClaude 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 — Efficient Frontier Calculator capabilities are ready to use.
{
"mcpServers": {
"efficient-frontier-calculator-mcp": {
"url": "https://edge.vinkius.com/vk_preview_IbhrA9anvOg60zL2oxV3IZO55VOjAZCfasamdXI1/mcp"
}
}
}Calculate the minimum variance portfolio for [AAPL, MSFT, GOOGL, TSLA].
Using the data in [portfolio_data.csv], find the weights for the lowest volatility portfolio.
What are the optimal weights for a minimum variance portfolio consisting of [BTC, ETH, SOL]?
Run a minimum variance optimization on my current holdings listed in [Sheet1].
Claude
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VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Efficient Frontier Calculator once, then ask.
One click connects this MCP to your preferred client. Your credentials stay encrypted and the math happens through your agent.
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How this task behaves
- 01
Can the AI execute trades based on these weights?
No. The AI only calculates the mathematical weights. You must manually execute any trades in your brokerage account.
- 02
Does the AI change my original data files?
No. The AI only reads your data to perform the calculation; it does not write to or modify your source files.
- 03
Can I add constraints like 'no short selling'?
Yes, you can instruct your agent to apply specific constraints during the optimization process.
- 04
What kind of data does it need?
It needs a list of assets and their corresponding historical price or return data.
- 05
Can it calculate the Sharpe Ratio too?
Yes, once the weights are found, your agent can calculate the expected return and Sharpe Ratio for that specific portfolio.
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