Who should use the Track portfolio performance workflow?
Teams or solo builders working on finance & legal tasks who want a repeatable process instead of one-off tool experiments.
AI Workflow · Finance & Legal
Practical execution plan for track portfolio performance with clear steps, mapped tools, and delivery-focused outcomes.
Deliverable outcome
A rebalancing action plan with trade orders and cost/tax estimates, ready for execution.
30-90 minutes
Includes setup plus initial result generation
Free to start
You can swap tools by pricing and policy requirements
A rebalancing action plan with trade orders and cost/tax estimates, ready for execution.
Use each step output as the input for the next stage
Step map
Instead of relying on a single generic AI model, this pipeline connects specialized tools to maximize quality. First, you'll use FactSet to a verified data pipeline and benchmark set ready for performance calculations. Then, you pass the output to Formulas HQ to a set of performance and risk numbers (return, sharpe, drawdown) for the portfolio and benchmarks. Then, you pass the output to FactSet to a clear breakdown of what drove performance (allocation vs. selection) and current positioning risks. Then, you pass the output to Tableau AI to a polished, shareable performance report or live dashboard updated with the latest data. Finally, Composer Bot is used to a rebalancing action plan with trade orders and cost/tax estimates, ready for execution.
Define performance benchmarks and data sources
A verified data pipeline and benchmark set ready for performance calculations.
Calculate portfolio returns and risk metrics
A set of performance and risk numbers (return, Sharpe, drawdown) for the portfolio and benchmarks.
Analyze attribution and sector exposure
A clear breakdown of what drove performance (allocation vs. selection) and current positioning risks.
Generate performance report and dashboard
A polished, shareable performance report or live dashboard updated with the latest data.
Review and adjust rebalancing triggers
A rebalancing action plan with trade orders and cost/tax estimates, ready for execution.
Identify the key benchmarks (e.g., S&P 500, custom indices) and data feeds (e.g., brokerage APIs, market data providers) that will be used to measure portfolio returns and risk. Set up a consistent data ingestion pipeline to pull daily or intraday prices, dividends, and corporate actions.
Why FactSet: FactSet provides comprehensive financial data, benchmark indices, and portfolio analytics via API, directly supporting performance benchmarking and data sourcing.
Compute time-weighted returns (TWR) and money-weighted returns (MWR) for the portfolio, then calculate risk metrics such as standard deviation, Sharpe ratio, and maximum drawdown. Use daily or monthly return series to ensure accuracy.
Why Formulas HQ: Formulas HQ generates Excel, Google Sheets, and Python code, directly enabling calculation of portfolio returns and risk metrics in spreadsheets or Python.
Decompose portfolio returns into allocation and selection effects by sector, industry, or asset class. Also review current sector weights versus benchmark to identify over/underweight positions.
Why FactSet: FactSet specializes in portfolio attribution and multi-asset risk modeling, directly meeting the need for attribution and sector exposure analysis.
Compile all calculated metrics, attribution results, and visualizations into a concise report or live dashboard. Include time-series charts of cumulative returns, drawdown, and risk-adjusted ratios.
Why Tableau AI: Tableau AI offers data analysis and visualization, ideal for creating interactive performance dashboards and reports.
Compare current portfolio weights to target asset allocation and check if drift exceeds rebalancing thresholds. If so, generate a list of trades to bring weights back in line, considering tax implications and transaction costs.
Why Composer Bot: Composer Bot offers dynamic rebalancing and portfolio backtesting, directly supporting review and adjustment of rebalancing triggers.
§ Before you start
Teams or solo builders working on finance & legal tasks who want a repeatable process instead of one-off tool experiments.
No. Start with the top pick for each step, then replace tools only if they do not fit your pricing, compliance, or output needs.
Open the mapped task page and compare top options side by side. Prioritize output quality, integration fit, and predictable cost before scaling.
§ Related
Track competitor moves and market shifts in real-time with automated intelligence gathering — so you always know what your rivals are doing.
Connect siloed business applications into a unified, AI-managed operational pipeline that eliminates manual handoffs between systems.
Analyze portfolios, backtest investment strategies, and receive AI-generated market signals — giving individual investors access to institutional-grade tools.