optimize_portfolio
Optimize cryptocurrency portfolio allocation using AI recommendations based on risk tolerance and current holdings to improve investment strategy.
Instructions
Get AI-powered portfolio optimization recommendations.
Args: holdings: List of current holdings [{"token": "...", "amount": "...", "chain": "..."}] risk_tolerance: Risk level. Options: low, medium, high
Returns: Rebalancing recommendations and optimal allocation.
Price: $1.00
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| holdings | Yes | ||
| risk_tolerance | No | medium |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Implementation Reference
- coinrailz_mcp/__init__.py:663-681 (handler)The `optimize_portfolio` tool is defined as an async function decorated with `@mcp.tool()`. It handles the user request by building a payload with holdings and risk tolerance, then calls the `portfolio-optimization` service via `call_coinrailz_service`.
async def optimize_portfolio(holdings: List[dict], risk_tolerance: str = "medium") -> str: """ Get AI-powered portfolio optimization recommendations. Args: holdings: List of current holdings [{"token": "...", "amount": "...", "chain": "..."}] risk_tolerance: Risk level. Options: low, medium, high Returns: Rebalancing recommendations and optimal allocation. Price: $1.00 """ payload = { "holdings": holdings, "riskTolerance": risk_tolerance } result = await call_coinrailz_service("portfolio-optimization", payload) return json.dumps(result, indent=2)