12research roles
TradingAgents Report is a multi-agent research desk that turns one listing into evidence, debate, risk review, and a five-tier final rating. Research only. No trade execution.
New accounts receive free analysis credits
Evidence modules, Bull/Bear debate, planning, risk review, and the Portfolio Manager form a traceable research path.
The Portfolio Manager issues the product conclusion: Buy, Overweight, Hold, Underweight, or Sell.
US, Hong Kong, China A-shares, Japan, and Taiwan, subject to the deployment whitelist.
Reports and structured decision briefs only. No fund management, brokerage connection, or order placement.
Reports
Reports the team explicitly publishes to this site. Each one is a multi-agent research reference with an analysis date and final Portfolio Manager rating. Not investment advice or trade execution.
执行减仓至30%，反弹至36.60–37.98元区间分批卖出，跌破32元加速离场。
002179.SZSZSE
Reduce NBIS to ~50% of current allocation before tomorrow's Q2 earnings; retain core exposure with a hard stop at $170 while awaiting technical repair and cessation of insider selling.
NBISNASDAQ
Reduce MGRT to Underweight — sell 30–50% into current strength near $98 with a hard stop at $82; do not add until audited financials clarify prepaid assets and Q2 revenue recovers above $2.5M.
MGRTNASDAQ
Reduce ERAS to Underweight — trim exposure ahead of the binary August 6 earnings call, retain a core tracking position for pipeline optionality, and set a hard stop at $17.47.
ERASNASDAQ
Hold NVDA: maintain core position but do not add — wait for daily technical repair above $205 or post-earnings clarity before increasing exposure.
NVDANASDAQ
How research forms
Optional specialist modules gather evidence. Bull and Bear debate, a Research Manager plan, Trader proposal, and risk review always follow. The Portfolio Manager issues the final five-tier rating.
Read the full research method→Choose Market, Sentiment, News, and Fundamentals modules. Selected analysts run in a fixed order from the confirmed listing and analysis date.
Bull and Bear researchers challenge the evidence. The Research Manager drafts an investment plan; the Trader proposes Buy, Hold, or Sell as an intermediate step, not the final product rating.
Aggressive, Conservative, and Neutral risk voices stress-test the plan. The Portfolio Manager decides Buy, Overweight, Hold, Underweight, or Sell.
What you receive
Read the Portfolio Manager decision first, then the Markdown from roles that ran.
The Portfolio Manager issues Buy, Overweight, Hold, Underweight, or Sell.
Conviction, reference price, position, zones, target, and key risks.
Market, sentiment, news, and fundamentals signals appear only when their modules ran.
Full specialist, debate, risk, and manager reports, exportable from the product app.
Markets and data
Research runs only on admin-enabled exchanges after listing identity is resolved. Every report records an analysis date; quotes can be delayed.
Default seeds include US (NASDAQ, NYSE, AMEX, OTC), HKEX, China A-shares (SSE, SZSE), Japan (TSE), and Taiwan (TWSE, TPEX). Live availability follows the deployment whitelist.
Ticker, exchange, and asset identity are resolved before research. Provider-specific symbols are not the public instrument identity.
Prices, fundamentals, and news stay inside the selected analysis date. Missing source fields are not invented; social or prediction inputs may reflect live-at-run data.
Research desk
Sign in to search a listing, set the analysis date, choose evidence modules and models, then track the job through to a report.
Search by symbol, confirm the exchange, and keep ticker identity separate from vendor-only codes.
Market, fundamentals, news, and sentiment are optional. Debate, risk review, and the Portfolio Manager always run.
Submit up to five instruments at once. Each creates its own analysis job and credit check.
Pick quick-think and deep-think models from the admin-open catalog. Both stay on the same provider for one job.
Plan points and bonus points are tracked separately. Successful or user-cancelled runs settle from actual AI cost; system failures are not charged.
New accounts receive free analysis credits
Start free research→Open source and origins
TradingAgents is the upstream open-source research framework. TradingAgents Report is the hosted desk, billing, and curated public-report experience built on that workflow.
Inspect the multi-agent graph, data routing, issue history, and contribution path on the public repository.
Read the TradingAgents paper for the original research context behind specialist analysis and debate.
Subscriptions, private jobs, and admin-published reports live here. Upstream experiments are not automatically enabled in this deployment.
Explore open-source origins→Usage capacity
Monthly plans grant cycle usage points for the research desk. New accounts can also start with signup bonus points. Live prices and entitlements are confirmed in the product billing page.
Entry cycle capacity for individual research workflows.
2,000 usage points / cycle
Higher monthly capacity for more frequent ticker coverage.
5,000 usage points / cycle
Expanded capacity for broader watchlists and small teams.
10,000 usage points / cycle
Highest published monthly capacity on the public catalog.
20,000 usage points / cycle
Marketing catalog only. Points are not one report per point: finished jobs settle from actual AI cost with the active markup. Checkout always uses the live catalog in the product app.
Clarity first
TradingAgents Report is a hosted multi-agent equity research desk built on the TradingAgents framework. Optional Market, Sentiment, News, and Fundamentals modules gather evidence; Bull/Bear debate, Research Manager, Trader, risk review, and Portfolio Manager always run to produce a traceable report and five-tier final rating. It does not execute trades.
No. The product produces research reports and structured decision briefs only. It does not connect to a brokerage, manage funds, or place orders.
Each report records an explicit analysis date. Historical prices, fundamentals, and news are bounded to that date. Quotes disclose source and time and may be delayed. Some sentiment or prediction-market inputs can reflect live-at-run data rather than a historical as-of snapshot.
LLM behavior, temperature, data availability, and nondeterminism all affect output. The agent graph keeps roles and evidence flow consistent so you can compare process quality across providers such as OpenAI, Anthropic, Google Gemini, and DeepSeek when those models are enabled in the catalog.
Plan points refresh each billing cycle; bonus points from signup, referral, or admin grants can carry over. Available balance must be above the analysis threshold to start. Finished jobs settle from actual AI USD cost times the configured points-per-USD and markup. System failures are not charged; user cancel can still settle actual cost. Checkout always uses the live catalog in the product app.
No. Reports are informational research references, not personalized investment advice. Verify important evidence independently and decide within your own risk framework.
SZSE
NASDAQ
