TradingAgents Explore the fork on GitHub

Optional shadow assessment · static sample

See how Laya assessments fit into a trading workflow.

Explore an illustrative set of research, trader, risk, and portfolio labels alongside their class probabilities. In the full integration, Laya observes the workflow as a shadow model: it does not make or change the Portfolio Manager's decision.

Safe sample — no live model or market data This page uses fictional scenarios and hard-coded example outputs. It makes no network requests, needs no API keys, and cannot place trades.

Choose an example

Switch between two fictional scenarios. The sample results are fixed and do not call TradingAgents or Laya.

These examples illustrate the display format only. They are not model-generated recommendations or investment research.

Example assessment

ALPHA · balanced fictional evidence

Static example

Probabilities here are illustrative probabilities over answer classes, not probabilities of profit or investment success. In the real integration, assessments are optional and shadow-only; the Portfolio Manager remains responsible for its own decision.

What this demonstrates

The optional integration records a typed assessment at the research, trader, risk, and portfolio stages, with a class-probability distribution where available.

What it does not do

This webpage does not run the Python graph, call the Ollaya API, fetch current financial data, or produce actionable financial advice.