MarketHeist.
Quantitative investing tools

Design portfolios.
Create your wealth path.

Free platform to design professional investment portfolios and backtest trading strategies — with 30+ years of history, right in your browser.

Portfolio analyzer
MarketHeist Portfolio
Study proven portfolios — All Weather, Golden Butterfly, Bogleheads — then customize them or build your own.
Create Portfolio →
Strategy backtester
MarketHeist Backtest
Test momentum, mean-reversion, and custom indicators on any ticker — Sharpe, CAGR, drawdown, walk-forward, Monte Carlo.
Create Strategy →
Market context
MarketHeist Context
The environment your portfolio lives in — seasonal and generational trend regime for major asset classes, at a glance.
See the context →
What you can do

Design your money — don't just calculate it

Two tools that work together: a strategy backtester and a portfolio analyzer/builder. Everything runs in your browser, on 30+ years of real history — free, no account, no brokerage linking.

⚡

Instant live modeling

Drag a weight and every metric — Sharpe, drawdown, 30-year growth, risk contribution — recomputes in real time. No run button, no reload.

🧩

Composable building blocks

Use a backtested trading strategy, or another whole portfolio, as a building block (a sleeve) inside a portfolio. Build portfolios of strategies, not just funds.

🔗

Share, publish & fork

Turn any portfolio into a permanent link, publish it to the community Explore gallery under your handle, and fork other people's published portfolios.

📈

Strategy backtesting

Test moving-average, RSI, or custom indicators on any ticker — with Sharpe, CAGR, max drawdown, plus walk-forward and Monte Carlo validation to catch overfitting.

📅

30+ years of real history

ETF histories are extended with older fund proxies, spliced on returns and dividend-reinvested — long, honest history that legacy tools charge for.

🤖

Callable by AI assistants

An MCP server and public API let ChatGPT, Claude, and other agents run real backtests and portfolio analyses and get the actual computed metrics — not estimates.

How it works

From idea to shareable result in minutes

1

Start from anything

Pick a proven allocation (All Weather, Golden Butterfly, Bogleheads…), build from a blank slate, or backtest a trading strategy on any ticker.

2

Model live & validate

Drag weights and watch results update instantly; balance risk with ERC or hierarchical risk parity; stress-test with walk-forward and Monte Carlo.

3

Share, publish or hand off

Copy a permanent link, publish to the community gallery for others to fork, or print a clean client-ready report.

Questions

Frequently asked

Is it really free, and do I need an account?

Yes — free, and usable with no sign-up. All computation runs in your browser; you never connect a brokerage or enter balances. Signing in (a passwordless magic link) only adds cloud sync, sharing, and publishing.

What makes MarketHeist different from other free tools?

Instant live modeling (drag a weight, everything recomputes), composability (use a backtested strategy or another portfolio as a building block), and sharing (permanent links, a community gallery you can publish to and fork from). It also pairs a full strategy backtester with the portfolio analyzer, and is callable by AI agents.

How far back does the history go?

Most portfolios have 30+ years of monthly, dividend-reinvested history — each ETF is extended backward with older mutual-fund proxies, spliced on returns.

Can an AI assistant use it directly?

Yes. An MCP server and public API (api.marketheist.io) let assistants run real backtests and portfolio analyses on live market data and receive the actual engine-computed metrics.

Start building — no account needed

Analyze a portfolio Backtest a strategy