FEATURES

Everything you need to go from hunch to hard data

Not a spec sheet — a shortcut. Here's what actually changes about how you test a trading idea.

✎
Speak strategy, not syntax
Describe your idea in plain English. No code, no config screens, no learning curve between having a hunch and testing it.
✅
Trust the numbers you get back
Every backtest is independently audited by a second AI before you see it, with up to 5 automatic refinement rounds — the single biggest difference between quantstr.at and a black-box tool.
📈
A professional-grade toolkit
63 indicators — SMA, EMA, RSI, MACD, Bollinger Bands, ATR, Aroon, CCI, Donchian & Keltner Channels, OBV, CMF, Parabolic SAR, ZigZag, and more — the same building blocks quants actually use, not a simplified toy set. See everything it can build →
📊
See the whole risk picture, not just a return number
Total & annualized return, Sharpe ratio, max drawdown, win rate, and profit factor together — so a strategy with a great return but brutal drawdowns doesn't fool you.
⚡
Iterate as fast as you can think of ideas
Refine and re-test a strategy in minutes instead of days. Test five variations of an idea in the time it used to take to debug one.
📦
Your data, no lock-in
Export the full trade log and equity curve as CSV or JSON any time — take your results into a spreadsheet, another tool, or your own records.
THE DIFFERENCE

Backtesting the old way vs. with quantstr.at

 
Old way
quantstr.at
Time to test one idea
Days to weeks, if you already know R or Python
Minutes
Coding required
Yes — indicators and rules written by hand
None — describe it in plain English
Independent verification
Usually none — you trust the tool's output as-is
A second AI audits every result before you see it
Risk metrics shown
Often just a return %
Sharpe, drawdown, win rate, profit factor, full trade log
Cost to test a bad idea
Your time, upfront
One credit

See it work on your own idea

No credit card required. Your first audited backtest is free.