Roboquant engine
Build, test, and deploy with one engine.
Technical guides for the full strategy lifecycle—from your first runtime hook to tick-level validation and monitored live deployment.
Find an answer quickly
Search all 10 engine and integration guides.
Native runtimeStrategies · Indicators
ValidationBacktests · Optimization
ExecutionLive deployment
Recommended path
Go from idea to deployment
Follow these three guides in order for the fastest route through the platform.
Step 01
Understand the engine
See how strategies, indicators, data, and deployments fit together.
Step 02
Write a strategy
Learn the Strategy API, lifecycle hooks, inputs, and multi-file layout.
Step 03
Validate and deploy
Backtest on historical data, review metrics, then move the same code live.
Documentation library
Browse every guide
Use the native engine guides for new projects. The TradingView section remains available for legacy webhook workflows.
Introduction
Start with the architecture and the complete strategy lifecycle.
RoboQuant Engine
Build, test, optimize, and deploy on the native Roboquant runtime.
- StrategiesAuthor and compile .rq strategies for backtest, optimization, and live trading.
- IndicatorsCustom chart indicators with vectorized compute and plot specs.
- BacktestingChoose realistic fill data, replay runs, read metrics, and optimize parameters.
- DeploymentDeploy compiled strategies to Tradovate Demo or Live and monitor sessions.
- API ReferenceCompiled hooks, parameters, indicators, orders, L2 data, and drawings.
Legacy (TradingView)
Reference material for TradingView, Pine Script, and webhook workflows.
Ready to build?
Open Roboquant, describe the strategy you want, and use these references to review exactly what the engine will run.