Monitor holdings in Google Sheets, fetch live prices from Alpha Vantage, calculate invested value, current value, P&L, CAGR, and drawdown, and update the sheet on a schedule.
Reads holdings from Google Sheets and fetches daily prices via Alpha Vantage. Calculates invested value, current value, P&L, CAGR, and maximum drawdown for each holding. Classifies risk levels and writes results back to the same sheet for a single, up-to-date view.
Perholding risk and performance are automatically calculated and surfaced in Sheets.
Reads portfolio data from Google Sheets (symbol, buy price, quantity, buy date).
Fetches daily prices via Alpha Vantage.
Calculates invested value, current value, P&L, CAGR, and maximum drawdown.
Classifies holdings as Healthy, Watch, or Risk based on return and drawdown.
Updates the same Google Sheet with the latest results.
Runs automatically on a schedule.
Automates data pulls, calculations, and risk labeling to keep your portfolio view accurate without manual work.
A simple 3-step flow that non-technical users can follow.
Reads portfolio data from Google Sheets (symbol, buy price, quantity, buy date).
Retrieves daily prices via Alpha Vantage and calculates invested value, current value, P&L, CAGR, and drawdown.
Writes updated metrics back to Google Sheets and logs the run for auditing.
A realistic, end-to-end scenario you can reproduce.
Scenario: A user with an 8-stock portfolio runs the AI Agent at 6:00 PM daily. The agent reads holdings from Google Sheets, fetches daily prices from Alpha Vantage, computes invested value, current value, P&L, CAGR, and drawdown, classifies risk, and updates the sheet with the latest metrics and risk labels. Outcome: The sheet shows refreshed values, a clear risk status for each holding, and a dashboard-ready summary for quick analysis.
Target roles that gain a reliable, automated portfolio view.
Wants a simple, explainable way to monitor long-term holdings.
Maintains internal dashboards and needs up-to-date performance data.
Seeks a repeatable workflow for investment-related automations.
Requires client-ready performance visuals and clear risk signals.
Desires centralized monitoring of stock-based holdings.
Needs consistent metrics and audit-ready history.
Tools used inside the AI agent workflow and what it does in each.
Inputs holdings and writes back results in place.
Provides daily price data for calculation of values and performance.
Orchestrates the scheduled runs and data flow between Sheets and APIs.
Concrete scenarios where this AI agent adds value.
Common questions and practical answers.
The agent reads holdings and configuration from Google Sheets and uses Alpha Vantage to fetch price data. It writes computed metrics back to the same sheet and stores a run log if enabled. All data handling occurs within your connected accounts, and no external storage is used by the agent unless you configure it. Access is governed by your Google Sheets and Alpha Vantage permissions. You can revoke access at any time from your account settings.
Yes, Alpha Vantage is required for price data in this setup. The architecture is designed to accommodate other price feeds if you provide an integration layer, but migrating to a new source would require adjusting the data retrieval step and metric calculations. Keep in mind that different data feeds may have varying data quality and latency. Any source swap should be tested in a staging environment before production use.
Yes. The agent supports configurable metrics such as P&L, CAGR, and maximum drawdown, and risk classifications can be adjusted to fit your risk model. You can modify thresholds and labels in the configuration while keeping the core data flow intact. It’s recommended to validate changes with historical data to ensure the rules align with your strategy. Any changes should be documented for audit purposes.
The default setup runs on a schedule you specify (for example daily at 6 PM). You can also trigger manual runs as needed. The agent only reads and writes to your Google Sheet, so it remains lightweight and non-destructive. If the source data changes outside the workflow, you should run a manual refresh to capture the latest values.
If Sheets is offline, the agent cannot read holdings or write results until connectivity is restored. Many environments support automated retries once the sheet becomes available again. It’s advisable to implement basic uptime monitoring and alerts for sheet connectivity. For critical use, run a parallel data capture in a separate sheet or backup source.
Yes, the workflow can be deployed in cloud-only environments or with alternatives to n8n for orchestration. The essential requirement is a scheduler and access to Google Sheets and Alpha Vantage. If using a different orchestrator, you’ll need to map the steps (read, fetch, calculate, write) to the new tool’s API. Ensure proper authentication and secure handling of API keys in any deployment.
Yes. The agent updates the source Google Sheet with end-of-cycle metrics, including P&L and risk classifications. This creates a consistent, auditable history in a single location. The update-in-place approach minimizes duplication and supports straightforward visualization in Google Sheets charts or external dashboards. You can export or connect the sheet to BI tools for advanced analytics.
Monitor holdings in Google Sheets, fetch live prices from Alpha Vantage, calculate invested value, current value, P&L, CAGR, and drawdown, and update the sheet on a schedule.
