How can I track my robo-advisor's performance?

Start by adding the documents that show your robo-advisor’s actual performance - quarterly statements, trade confirmations, allocation summaries, or any progress report you receive. Chatref’s AI agent builds a knowledge base solely from that content, so every answer is grounded in your own records, never a generic guess. The cleaner and more up‑to‑date your uploads, the sharper the answers become. You can point the agent to PDFs, site pages, or plain text files; everything stays in your account as long as you need it.

Once your data is in place, you can treat the agent like a 24/7 performance analyst. Ask natural‑language questions such as:

• “What was the total return across all portfolios last calendar year?”
• “Show me the current equity vs. fixed‑income split.”
• “Compare this month’s performance against the benchmark that was referenced in my last progress report.”

The agent pulls exact numbers from your uploaded documents and explains them in your brand voice, cutting out the manual digging through spreadsheets or login portals.

Chatref Insights automatically tags every client question that touches performance - phrases like “drop in value,” “allocation change,” or “underperformance” - and groups them into a weekly digest. When you see a sudden spike in tags around a particular metric, it acts as an early‑warning signal that something significant may have shifted. You can also review the digest to understand what metrics your clients care about most, so you know which portfolio updates to prioritise or clarify.

Use your agent to check a consistent set of metrics across reporting periods. That way you spot trends long before they become surprises:

• Time‑weighted return - strips out cash‑flow timing for a pure performance view.
• Absolute and relative drawdown - how far a portfolio has fallen from its peak, and how that compares to a benchmark.
• Asset‑allocation drift - whether the robo‑advisor’s current mix still matches the intended model.
• Volatility (standard deviation) - how stable the returns have been over your chosen horizon.
• Risk‑adjusted ratios - Sharpe or Sortino, if your progress reports include the needed data.

Run the same questions each month and let your Chatref agent do the arithmetic from the uploaded documents, so you have a repeatable, auditable process.

How do I access my robo-advisor's performance reports?
Upload your portfolio statements, quarterly updates, or any progress report to the Chatref AI agent. After processing, simply ask the agent in natural language - example: “What was the total return for Q1 2026?” The answer is pulled directly from your own documents, no external look‑up needed. There is no separate report-builder; the agent is your on‑demand report interface.

Can I set up alerts for significant changes in my portfolio?
Chatref does not send real‑time push alerts tied to a single metric. However, its Insights feature monitors all performance-related conversations and tags them. When you notice a sharp rise in tags like “drawdown” or “allocation mismatch” in your weekly digest email, it acts as a de‑facto alert that something may have moved. For daily spot‑checks, you can ask your AI agent directly - for instance, “Has any holding been flagged as under‑or‑overweight this week?”

What metrics should I monitor to evaluate my robo-advisor's performance?
A practical shortlist includes time‑weighted return, maximum drawdown, asset‑allocation drift, and volatility. If your progress reports provide risk‑adjusted ratios (e.g., Sharpe), include those as well. Use your Chatref AI agent to ask for each metric on a regular cadence; comparing them over time will tell you whether your robo‑advisor is delivering consistent, risk‑aware results.