# Quandora English

## Documentation

- [Introduction](https://quandora.gitbook.io/en/start-here/readme.md): Quandora is finance-agent infrastructure for AI-native quant trading workflows.
- [Choose Your Path](https://quandora.gitbook.io/en/start-here/choose-your-path.md): Choose the shortest route into Quandora for your background and goal.
- [Quandora 101 (For Non-Quants)](https://quandora.gitbook.io/en/start-here/quandora-101-for-non-quants.md): What Quandora is in plain English — an open, agent-native way to test trading ideas with evidence instead of vibes.
- [Installation Guide](https://quandora.gitbook.io/en/start-here/installation-guide.md): Install and connect Quandora in supported AI agent hosts
- [Quickstart](https://quandora.gitbook.io/en/test-your-first-idea/quickstart.md): From zero to your first evidence-backed factor report in about 15 minutes.
- [Research Tasks](https://quandora.gitbook.io/en/test-your-first-idea/research-tasks.md): A research task tells the agent what kind of market pattern to test.
- [Task Card](https://quandora.gitbook.io/en/test-your-first-idea/task-card.md): A task card is the structured research work order used by Factor Mining.
- [Writing plugin.py](https://quandora.gitbook.io/en/test-your-first-idea/plugin.py.md): plugin.py is the contract-compliant factor source that an AI agent asks Quandora to validate and backtest.
- [Factor Card](https://quandora.gitbook.io/en/understand-the-result/factor-card.md): The structured report for one factor result — Health, grade, evidence, risks, and what to test next.
- [How Factors Are Judged](https://quandora.gitbook.io/en/understand-the-result/how-factors-are-judged.md): The current Success checks and SSS–F grade behind a Factor Card — evidence, not promises.
- [Improve and Rerun a Factor](https://quandora.gitbook.io/en/improve-and-rerun/improve-and-rerun.md): Diagnose one tested factor and run a user-approved controlled experiment.
- [Strategy Construction](https://quandora.gitbook.io/en/build-and-evaluate-a-strategy/strategy-construction.md): How eligible factors become a public cross-sectional Strategy backtest.
- [Strategy Tutorial](https://quandora.gitbook.io/en/build-and-evaluate-a-strategy/strategy-tutorial.md): Build, backtest, analyze, and export a cross-sectional Strategy.
- [Paper Trading & Monitoring](https://quandora.gitbook.io/en/paper-trade-a-strategy/paper-trading-and-monitoring.md): Monitor a strategy with simulated orders, inspect its evidence, and decide the next action yourself.
- [Paper Trading Tutorial](https://quandora.gitbook.io/en/paper-trade-a-strategy/paper-trading-tutorial.md): Start, monitor, inspect, and stop a Quandora simulated Paper run.
- [Product Availability](https://quandora.gitbook.io/en/availability-and-limitations/product-availability.md): What Quandora users can access today and which capabilities require an invitation.
- [Deployment & Live Trading](https://quandora.gitbook.io/en/availability-and-limitations/deployment-and-live-trading.md): The current boundary between public Quandora workflows and real-money execution.
- [Safety, Risk Limits & Kill Switch](https://quandora.gitbook.io/en/availability-and-limitations/safety-risk-limits-and-kill-switch.md): Safety boundaries for public research, backtesting, and simulated Paper Trading.
- [Quandora Workflow](https://quandora.gitbook.io/en/concepts-and-reference/quandora-workflow.md): Five public Quandora skills, their evidence boundaries, and the explicit confirmations between them.
- [Our Data](https://quandora.gitbook.io/en/concepts-and-reference/our-data.md): Quandora research tasks expose data headers that an AI agent can use when generating factor logic.
- [Glossary](https://quandora.gitbook.io/en/concepts-and-reference/glossary.md): Plain-English definitions for the terms used across Quandora
- [Security, Privacy & Support](https://quandora.gitbook.io/en/security-privacy-and-support/security-privacy-and-support.md): Security, privacy, data handling, and support information for Quandora users.


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# Agent Instructions
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## Querying This Documentation
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```
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Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.