Compared
Indexes vs Portfolio Visualizer for Backtesting a Custom Index
The short answer
Indexes and Portfolio Visualizer both let you backtest a basket against history, but they frame the job differently. Portfolio Visualizer is a deep, well-respected quant toolset: factor analysis, Monte Carlo simulation, and portfolio optimization run further than most people will ever need. Its model centers on a static portfolio you configure and re-run, the interface is spreadsheet-grade and dated, and crypto coverage is thin. Indexes is a more modern, index-first take. You build a living named index across stocks and crypto together, backtest it against real market history, and then keep tracking it over time versus benchmarks like the S&P 500 and BTC rather than re-running a one-off study. Indexes is informational and educational, track-and-analyze not trade, self-serve with no account minimum, and it never places a trade or connects to a brokerage. If you need the deepest statistical backtesting, Portfolio Visualizer goes further; if you want a living, named index you build once and follow, Indexes is built around that.
| Dimension | Indexes | Portfolio Visualizer |
|---|---|---|
| Backtest against real history | Yes | Yes |
| Living, named tracked index | Yes | Static portfolio |
| Ongoing benchmark tracking | Yes | Limited |
| Crypto alongside stocks | Yes | Thin |
| Deep quant and factor analysis | Focused | Yes |
| Modern, self-serve interface | Yes | Dated |
Verdict
The bottom line
Pick Portfolio Visualizer when you need the deepest quantitative backtesting, factor work, and simulation and do not mind a dated, static-portfolio workflow. Pick Indexes when you want a modern builder for a living named index across stocks and crypto that you backtest once and then keep tracking against benchmarks, all analyze-only with no account.