Introduction

Quandora is finance-agent infrastructure for AI-native quant trading workflows.

About Quandora

Quandora is a finance-agent infrastructure for AI-native quant trading workflows.

The public plugin provides five focused skills: Factor Mining, Factor Analysis, Strategy Building, Strategy Analysis, and Paper Trading. Together they let an agent create research artifacts, read server-persisted evidence, backtest a cross-sectional Strategy, and monitor simulated execution with explicit user confirmation between stages.

Create or sign in to your Quandora account, then choose the path that matches your experience and goal.

Thesis

As trading becomes more agentic, it converges toward quant trading because serious agents need data, validation, feedback loops, risk controls, and evidence rather than vibes.

Finance does not need another chatbot. It needs:

• signal validation
• overfit detection
• microstructure / liquidity analysis
• cost and turnover realism
• backtesting and walk-forward checks
• reviewed factor memory
• reporting and audit trails
• security-aware workflows

The scarce layer is not another dashboard or raw data feed. The scarce layer is the evidence system that records whether an idea passed its current checks, became too expensive to trade, duplicated prior attempts, or needs deeper review—without turning analysis into an automatic submission.

Quandora is finance-agent infrastructure. Factor research and analysis, Strategy backtesting and analysis, and simulated Paper Trading are available to public users. Live trading is not part of the public product. Quandora is not a guaranteed-profit tool or copy-trading product. Crypto markets first.