Open-source engine
Self-host the research engine, or use the hosted desk
The research graph is public at github.com/tradingagents-report/tradingagents-report. Clone it, install with pip, and run the CLI. TradingAgents Report on this domain is the hosted desk around that engine: accounts, credits, and published reports.
Three objects, one name
TradingAgents is the academic framework (arXiv:2412.20138). The public engine at github.com/tradingagents-report/tradingagents-report is an Apache 2.0 derivative you can clone and run. TradingAgents Report on this domain is the hosted desk: signed-in jobs, usage-point billing, an admin catalog, and reports that stay private unless an administrator publishes them. If you only need the paper’s architecture, use the paper explainer. If you need to run a job here, use the method page.
Clone and run locally
Python 3.12, an LLM key, and optionally a TradingView Data API key. Redis and PostgreSQL are not required for a single-process run.
Without a TradingView key the engine falls back to Yahoo Finance and other enabled vendors.
클론하고 설치
Apache 2.0git clone https://github.com/tradingagents-report/tradingagents-report.git
cd tradingagents-report
python3.12 -m venv .venv
source .venv/bin/activate
pip install .Python 3.12이 필요합니다. 로컬 단일 프로세스 실행에는 Redis나 PostgreSQL이 필요 없습니다.
What this repository adds
The academic graph—specialist analysts, bull/bear debate, risk review, five-tier rating—stays in place. These are the product-side pieces that shipped with the public engine.
TradingView-first market data
Exchange-level symbols, daily bars, indicators, fundamentals, news, calendars, peers, and multi-timeframe TA. Yahoo Finance remains a fallback.
Structured decision cards
Analyst-section signals, a decision_brief, and in-window price and fundamental chart snapshots—not only role Markdown.
Multi-market ticker parsing
Deterministic listing identity for NASDAQ:AAPL, 600519.SS, HKEX:700, and other exchange-qualified forms.
In-process cache
TTL cache in process memory by default. Set REDIS_URL only if several processes analyze the same ticker and should share quota.
Three public sources
tradingagents-report on GitHub
Apache 2.0 research engine: CLI, Python entry point, TradingView-first data, structured decision cards, and multi-market ticker parsing.
Open repository →리서치 논문
TradingAgents 논문을 한 페이지로 정리한 해설입니다. 역할, 토론, 리스크 검토와 저자들이 보고한 백테스트를 다루며, 이 제품의 수익률과는 분리해 설명합니다.
논문 해설 읽기 →Academic upstream
Tauric Research publishes the original TradingAgents framework. This engine is a derivative of that work. The paper page keeps the two distinct.
Open repository →Paper, engine, and hosted desk
Three objects share a name. Keep them separate when you clone, cite, or run a job here.
TradingAgents paper
arXiv:2412.20138 and the Tauric Research repository. Original multi-agent design and the authors’ 2024 simulation. Not this product’s track record.
Public engine
github.com/tradingagents-report/tradingagents-report. Self-hosted CLI and Python runs with your keys. No accounts, billing, or public-report process.
Hosted desk
This site and agent.tradingagentsreport.com. Signed-in jobs, usage-point billing, admin catalogs, Simulated Trading, MCP, and curated public reports.
What the hosted product adds
Subscriptions, private analysis jobs, admin model catalogs, exchange whitelists, Simulated Trading, MCP, and curated public reports. None of that ships in the clone.
리서치 데스크
종목을 검색하고 근거 모듈을 선택하고 분석 기준일을 설정한 뒤, 작업이 리포트로 완성되는 과정을 추적하세요.
사용 포인트 과금
플랜 포인트와 보너스 포인트로 완료된 작업을 제품 과금 규칙에 따라 실제 AI 비용 기준으로 정산합니다.
선별된 공개 리포트
관리자가 발행한 성공 작업만 이 마케팅 사이트에 표시됩니다. 데스크 실행 결과는 기본적으로 비공개로 유지됩니다.
What you can inspect in the repository
The public engine is the authority for the research graph you can run yourself. These are the parts that matter when you compare a local run with a report on this site.
리서치 그래프
Specialist analysts, Bull and Bear debate, Research Manager, Trader, risk voices, and Portfolio Manager synthesis are encoded as a LangGraph you can read. A hosted job follows the deployed graph, which may omit or gate experiments.
데이터와 정체성 규칙
Docs record look-ahead filters, listing identity, and vendor routing, with TradingView Data API first. Those rules exist so a historical analysis date does not quietly borrow later prices, filings, or news.
직접 실행하는 방법
The project ships a CLI (`tradingagents-report`) and a Python entry point. You bring model and data credentials. Redis and PostgreSQL are optional. That local run is not this product’s billing, allowlist, or public-report process.
이 페이지가 주장하지 않는 것
Thin origin pages often over-promise. These limits stay explicit.
- Paper Table 1 and any local backtest are not this product’s track record.
- A capability in the public README is not automatically enabled on the hosted desk.
- The clone does not include accounts, usage-point billing, MCP, Simulated Trading, or the public-report library.
- The hosted desk does not place live broker orders or hold customer assets.
Open-source FAQ
Questions that usually follow the repo link
Is the hosted product the same as the GitHub repository?
No. github.com/tradingagents-report/tradingagents-report is the self-hosted engine. This site is a hosted research desk with billing, private jobs, MCP, Simulated Trading, and curated public reports.
What do I need to run the engine locally?
Python 3.12, an LLM provider key, and optionally a TradingView Data API key from tradingviewapi.com. Redis and PostgreSQL are not required. Full multi-market coverage needs the TradingView key; without it the engine falls back to Yahoo Finance and other enabled vendors.
How does this relate to Tauric Research / TradingAgents?
The public engine is an Apache 2.0 derivative of github.com/TauricResearch/TradingAgents (arXiv:2412.20138). Cite the paper for the original design. Clone tradingagents-report/tradingagents-report to run this engine.
Does cloning give me billing, MCP, or Simulated Trading?
No. Those are hosted-desk features. The clone is the research graph, CLI, and data routing. Use this site’s method, MCP, and Simulated Trading pages for the product.
라이선스
The public engine is Apache License 2.0. Keep the Tauric Research copyright notices in LICENSE and NOTICE. Third-party market-data and LLM vendor rights are not sublicensed.