TradingAgentsAI-powered multi-agent market analysis

14-day free trial · No credit card needed

Multi-agent research on one managed Agents Model

Run a specialist analyst team, bull/bear debate, risk review, and portfolio decision on our managed Agents Model. Start free for 14 days — no credit card required. Then choose Standard or Pro for the credit pool that fits you.

  • 14-day free trial — no credit card needed
  • Research only — not financial advice
AI assistant surrounded by floating market data, news, and chart panels

Specialized agents, structured collaboration

Our framework decomposes complex trading tasks into specialized roles. Each agent contributes a distinct perspective so you can review structured research—not black-box advice.

Modular research blocks assembling into a structured investment thesis

Analyst Team

Four specialized analysts gather and interpret market data from fundamentals, sentiment, news, and technicals.

  • Fundamentals AnalystEvaluates company financials and performance metrics, identifying intrinsic values and potential red flags.
  • Sentiment AnalystAggregates news headlines, StockTwits, and Reddit chatter into a single sentiment read to gauge short-term market mood.
  • News AnalystMonitors global news and macroeconomic indicators, interpreting the impact of events on market conditions.
  • Technical AnalystUtilizes technical indicators (like MACD and RSI) to detect trading patterns and forecast price movements.
Bear and bull researchers debating market conditions

Researcher Team

Bullish and bearish researchers critically assess analyst insights. Through structured debates, they balance potential gains against inherent risks.

Trader Agent

Composes reports from the analysts and researchers to make informed trading decisions, determining the timing and magnitude of trades.

Smart watchlist cards floating over a city skyline at dawn

Risk Management and Portfolio Manager

Continuously evaluates portfolio risk by assessing market volatility, liquidity, and other risk factors. The risk management team evaluates and adjusts trading strategies, providing assessment reports to the Portfolio Manager for final decision.

  • Portfolio ManagerApproves or rejects the transaction proposal. If approved, the order is sent to the simulated exchange and executed.

Start free for 14 days

No credit card needed. Launch your first multi-agent research run on our managed Agents Model, then choose Standard or Pro when you're ready.

Customer story · SPY

They walked in with one idea. The agents walked them out with a better one.

A real research session on SPY: full multi-agent report first, then a live follow-up conversation when the tape changed. Not a pasted report—a story about challenge, evidence, and a thesis built together.

I thought I wanted a quick directional put after SPY cracked support. The agents verified the breakdown, then pushed back hard on my 0 DTE idea—and kept working with me until we had a defined-risk plan I actually trusted.

Alex R.Independent trader · SPY session, July 2026
  1. Four analyst panels summarizing SPY market, sentiment, news, and fundamentals research

    Day one

    The opening idea: Hold the consolidation

    Alex ran SPY through the full desk. Analysts mapped a choppy range around $748—long-term uptrend intact above the 200 SMA, but short-term momentum flattening. The firm’s call was Hold: respect support, don’t chase the failed breakout.

  2. Bullish and bearish researcher cards debating the SPY Hold thesis after the 50 SMA break

    Two days later

    The tape broke—and the agents pushed back

    SPY closed $738.18 and sliced through the 50 SMA on heavy volume. Alex came back worried about chips and a slide past support, floating a 0 DTE 735 put. The agents verified the print, showed the structural damage, then challenged the lottery-ticket trade: time decay would eat the thesis before the market had to prove it.

  3. Trader and risk panels showing the shift from a rejected 0 DTE put to a shared Iron Condor plan

    Together

    A new theory, co-authored

    Instead of walking away, they kept talking. Out of the debate came a shared range thesis: a July 31 Iron Condor around 735/745, with clear profit targets, breach stops, and defined max loss. Same desk. New theory. Built in conversation—not handed down as a black box.

TradingAgents is designed for research purposes. Trading performance may vary based on model choice, temperature, data quality, and other non-deterministic factors. It is not financial, investment, tax, or trading advice.