Overview
What TextToQuant is, and how the pipeline turns a sentence into a backtest.
TextToQuant turns a sentence into a backtested trading strategy. You describe an idea in plain English, and the platform parses it into a precise, deterministic strategy specification, runs it bar by bar against real market data, and hands you an honest report: performance, risk, and an overfitting verdict.
These docs are organised by intent: learn the ideas, follow a guide to get a job done, or consult the reference for exact behaviour.
How it works#
Write your idea the way you'd say it out loud: asset, signal, exits, timeframe.
The query compiles deterministically into a fixed strategy spec. The AI never scores the result, so it can't steer toward a good looking number.
A bar by bar engine simulates the strategy on real data, using only closed bar information (no look ahead).
Metrics, chart, trade ledger, robustness checks and a letter grade, with everything you need to trust or reject the result.
Buy BTC when RSI(14) crosses above 30, exit at 3R or 2% stop, on the 4hRun in terminalStart here#
Every performance metric, what it means, and how to read it honestly.
TutorialsAcademyGuided, hands on lessons across Foundations, Validation and Risk.
Trade it#
When a strategy has earned your trust, deploy it. The same compiled strategy runs forward on live data, in paper with simulated fills, as signal only alerts, or live on your own exchange account, behind risk checks, exchange side stops and a kill switch.
What makes it different#
- Deterministic by construction. Same query ⇒ same spec fingerprint ⇒ same test. Results are reproducible, and the header shows a Reproducible chip to prove it.
- Overfitting aware. Beyond Sharpe and win rate, the report ships probabilistic and deflated statistics that correct for how many configurations you tried.
- No look ahead. Signals read only closed bar data, so a backtest can't cheat with information it wouldn't have had live.
Read the Metrics reference next: understanding what the numbers mean is the fastest way to get value from every backtest you run.