Portfolio Backtesting Tool
See how a portfolio would have held up — before you rely on it.
QuantiBot.ai's portfolio backtesting tool lets you define a portfolio and test it against real historical market data, so you can study how the whole mix would have behaved through different periods instead of guessing from individual holdings. Describe the portfolio in plain language or load one you've saved — no spreadsheets or code. Every result is reconstructed from the same daily price history the rest of the platform runs on, so what you see is grounded in what actually happened, not a smoothed approximation.
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- Conversational research
- No coding required
- For every investor
- Thousands of stocks & ETFs
- Company fundamentals
- Technical indicators
- Historical backtesting
Try it now — run a backtest
Pick a strategy, ticker and window, then run it on real historical data — no sign-up needed. Every metric is free; upgrade for more tickers, longer windows and Pro strategies.
How portfolio backtesting works
Getting a backtest is a three-step conversation — no spreadsheets, no formulas:
- Define the portfolio — name the holdings and weights in plain language, or load one you've saved.
- Choose window & benchmark — the historical period to study and what to measure against.
- Get the results — QuantiBot.ai reconstructs the day-by-day path and reports back.
- Rerun anytime — try a different window or benchmark whenever a new question comes up.
Test real or hypothetical portfolios
Backtest what you hold, or a mix you are only considering:
- A portfolio you hold — see how your actual composition would have tracked.
- Or a hypothetical one — a mix you're weighing before you commit.
- Against any benchmark — over the historical window you choose.
Measure the metrics that matter
Every backtest reports the numbers you'd want before trusting a portfolio:
- Returns over the period and versus a benchmark.
- Maximum drawdown — how deep the worst decline went.
- Risk-adjusted return — Sharpe ratio, for the portfolio and its benchmark.
- Benchmark side by side — every metric is reported for the portfolio and its benchmark, so context is built in.
Go deeper on what you find
A backtest is a starting point — from your results you can:
- Check correlation — how correlated the holdings are.
- Break down exposure — sector and factor concentration.
- Replay through stress — historical stress windows to see where the risk concentrates.
- Read it with care — backtests are hypothetical and do not predict future performance.
Start researching with QuantiBot.ai
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For informational and educational purposes only. QuantiBot.ai is not a broker-dealer or investment adviser and does not provide investment advice.