TradeRight AI trading research

Multi-agent AI research for any ticker

Analysts, bull/bear researchers, a trader, and a risk team debate every call before you see it — for stocks, ASX/LSE/HKEX and 12 other exchanges, and crypto.
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How the analysis is made

Five stages, each a separate LLM agent, each free to disagree with the last.

1

Analyst team

Fundamentals, Sentiment, News, and Technical agents each call live data tools — Yahoo Finance, a fundamentals API, news/sentiment sources — for your ticker and date.

2

Bull vs. bear

Two researcher agents argue opposing cases from those reports for a fixed number of debate rounds.

3

Trader

One agent turns the debate into a proposed action — buy/sell/hold, sizing, entry and stop.

4

Risk team

Aggressive, conservative, and neutral risk agents stress-test the trader's proposal.

5

Portfolio manager

A final agent issues the decision you see — sometimes overriding an earlier report, which is expected: the debate is the point.

Data is pulled fresh each run for the date you specify, so it's as current as the underlying data providers (mainly Yahoo Finance) for that date — not real-time, and not the LLM's own training knowledge. Coverage can be thinner for non-US tickers. Because LLM output is stochastic and this hasn't been backtested for accuracy, treat every result as one research opinion to sanity-check, not a validated signal.

Pricing

Simple monthly plans, capped so cost stays predictable.

Starter
$19/month
  • 15 analysis runs per month
  • Stocks, 15 global exchanges, and crypto
  • Full stage-by-stage reasoning breakdown
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Pro
$49/month
  • 50 analysis runs per month
  • Everything in Starter
  • Best for active, regular use
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Currently invite-only while checkout is finalized — use your access token below, or get in touch for access.

Run an analysis

Enter a ticker, pick an exchange, and let the agents debate it.

This tool produces a simulated research opinion (BUY/SELL/HOLD) from an LLM multi-agent debate over public market data. It does not place trades, is not financial advice, and its accuracy has not been validated. Outputs can differ between runs on the same ticker/date.