Documentation
How Backtest.ai works.
How the engine models fills, impact, and slippage; how the signal language works; how a validated backtest becomes a live book. Documented end to end.
Browse by section
60 pages11 pages
Data & Methodology
The data spine, and how every number you read off an option is produced.
How every number is producedData coverageData inputs and point-in-time guarantees+ 8 more
6 pages
The Signal Language (DSL)
The DSL behind signals: accessors, operators, and the execution model.
The Signal languageThe execution modelData accessors (bar, option, time)+ 3 more
10 pages
Signal Analysis, Models & Validation
EDA, models, and walk-forward validation — everything between a signal and a backtest.
The validation layer, from Signal to ModelThe Signal tab and the time-series chartReading the EDA charts+ 7 more
10 pages
Backtests
Positions, fills, margin, and costs: how a backtest is configured and read.
Backtests on Backtest.aiThe backtest lifecycleDesigning the position+ 7 more
9 pages
Portfolios, Accounts & Live Trading
From single backtests to portfolios, accounts, and live trading.
From backtest to live tradingPortfoliosAccounts and the entity hierarchy+ 6 more
7 pages
Reference
The lookup layer: grammar, the operator catalog, accessors, and platform limits.
Platform statusDSL operator & function catalogDSL grammar & syntax+ 4 more
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