Guide Hub

AI Portfolio Tracking

This hub answers the most common questions investors ask when they move from watching single stocks to managing an entire portfolio with discipline.

A portfolio tracker should explain where performance comes from, not just display a total number.

What should a portfolio tracker measure?

A strong portfolio tracker measures performance, exposure, diversification, drawdowns, realized versus unrealized gains, and the sources of portfolio risk. Learn the practical framework, the common mistakes, and the signals that matter most for portfolio tracking metrics.

How do you track portfolio performance across currencies?

Track the asset return, the foreign exchange effect, and the base-currency result separately so you know whether performance came from the business or the currency move. Learn the practical framework, the common mistakes, and the signals that matter most for multi-currency portfolio tracking.

Which portfolio metrics matter beyond total return?

Metrics such as drawdown, volatility, concentration, win rate, exposure balance, and risk-adjusted return often reveal more about process quality than headline return alone. Learn the practical framework, the common mistakes, and the signals that matter most for portfolio metrics beyond return.

How often should investors review and rebalance?

Most long-term investors should review more often than they rebalance. Weekly monitoring and scheduled monthly or quarterly decisions often beats constant tinkering. Learn the practical framework, the common mistakes, and the signals that matter most for portfolio review and rebalancing.

What should investors write down after each portfolio decision?

After each portfolio decision, investors should record the thesis, sizing logic, time horizon, key risks, and the specific signals that would prove the decision right or wrong. Learn the practical framework, the common mistakes, and the signals that matter most for portfolio decision journaling.