{ "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-25", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.6", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "tool": { "slug": "tradingagents", "name": "TradingAgents", "vendor": "Tauric Research", "vendorUrl": "https://tauric.ai", "kind": "framework", "category": "frameworks", "summary": "TradingAgents, from Tauric Research, is an open-source Python framework on LangGraph in which LLM agents for analysis, research debate, trading and risk review produce a five-tier rating and a report for one ticker and date.", "url": "https://www.anchorterminal.com/tools/tradingagents", "markdownUrl": "https://www.anchorterminal.com/tools/tradingagents.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/tradingagents.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/tradingagents.json", "repo": "https://github.com/TauricResearch/TradingAgents", "license": "Apache-2.0", "transports": [], "packages": [], "auth": "api-key", "authNotes": "The framework has no account of its own. Each model provider's key is read from the environment or a .env file, which the package loads on import by walking up from the working directory. A ChatGPT Plus or Pro plan can be used instead through OpenAI's sign-in for open-source apps (PKCE, dynamic client registration, loopback redirect), with tokens kept in ~/.tradingagents/chatgpt-auth.json readable only by its owner and revoked by `tradingagents logout chatgpt`. Bedrock uses AWS credentials. Alpha Vantage, FRED and TypeSafe's Jev take optional keys; Yahoo Finance, SEC EDGAR, Reddit, StockTwits and Polymarket need none.", "pricing": "free", "pricingNotes": "Free under Apache 2.0, with nothing to buy from Tauric Research to run it. Each run calls the chosen model provider many times (four analysts, a debate, a trader, three risk debaters and two managers by default), billed by that provider, or counted against a ChatGPT plan's usage limits. Alpha Vantage and Jev bill on their own terms when their keys are set. Tauric Research's hosted services at tauric.ai are invitation or enterprise access with no public price, and are not this listing (checked 2026-10-25).", "priceSummary": "Free ยท OSS", "where": "library", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the source, README or changelog of v0.7.0 (checked 2026-10-25).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 114000, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-25" }, "docsUrl": "https://github.com/TauricResearch/TradingAgents#readme", "capabilities": [ "agent.framework", "agent.multi-agent", "agent.durable" ], "tags": [ "framework", "python", "langgraph", "open-source", "apache-2.0", "self-hosted", "local", "cli", "docker", "free", "pre-1.0" ], "lastRelease": "2026-10-16", "graded": true, "anchor": { "graded": true, "score": 64.7, "grade": "B", "agentReady": false, "rank": 388, "ranked": true, "rankOf": 1210, "categoryRank": 11, "methodology": "0.6", "run": "2026-10-01", "scores": { "ergonomics": 61, "maintenance": 82, "payments": 60, "reliability": 67, "schema": 61, "security": 62, "transparency": 68 }, "pending": [ "performance", "tasks" ], "breakdown": [ { "key": "reliability", "name": "Reliability", "weight": 16, "effectiveWeight": 20, "score": 67, "points": 13.4, "reason": "Read with the local-software lines, because the owner runs it. Python 3.11 or later is stated and CI tests 3.11 to 3.14, but there is no package on PyPI per shields.io. The README installs from a clone or Docker Compose, and from 0.7.0 each GitHub release carries a wheel built and smoke-tested by a workflow (12 of 20). Public CI runs 982 test functions across four Python versions and one time zone away from UTC, a clean-install import check and Ruff on every push and pull request, and shields.io's badge read passing on main on 25 October 2026 (25). 43 open and 486 closed issues per shields.io, which gives counts but not their age or labels, so crash and regression issues couldn't be separated (18 of 25). The changelog follows Keep a Changelog and Semantic Versioning and lists breaking changes under \"Upgrading from\", but 0.5.1, a patch release, moved import paths and removed classes (10 of 15). Version 0.7.0 with no stability statement (0).", "checked": "2026-10-25" }, { "key": "performance", "name": "Performance", "weight": 10, "effectiveWeight": 0, "pending": true, "points": 0, "reason": "Pending. Latency is measured per call by our probes, which haven't run yet, so this run doesn't score it. Its weight is shared across the assessed categories until the first probe window closes." }, { "key": "schema", "name": "Schema \u0026 documentation", "weight": 13, "effectiveWeight": 16.25, "score": 61, "points": 9.91, "reason": "Framework reading. No API reference or docs site. Typed interfaces exist in the source, Pydantic models for the research manager's, trader's and portfolio manager's outputs and Annotated signatures on the twelve data tools, with no py.typed marker (10 of 25). The README and changelog are Markdown in the repository; no llms.txt (4 of 10). The README states limits plainly, that runs vary, which statements past-dated runs withhold and why, and that it is a research tool, not advice (15 of 20). Configuration is a plain dict of string keys, though environment overrides are coerced to the default's type and fail loudly on a bad value (8 of 15). Runnable Python and CLI examples throughout the README; the vendor error hierarchy is documented only in source docstrings (9 of 15). Dated changelog for every release from 0.1.0 with upgrade notes (15).", "checked": "2026-10-25" }, { "key": "ergonomics", "name": "Agent ergonomics", "weight": 13, "effectiveWeight": 16.25, "score": 61, "points": 9.91, "reason": "Framework reading, scored on what an outside agent needs to call it. No MCP client or server, so it can't be attached as tools; a run is four lines of Python (`TradingAgentsGraph(config=...).propagate(ticker, date)`) or one headless CLI command with flags (10 of 25). Analyst selection, debate and risk rounds (default 1), `max_tool_rounds` (20), `max_recur_limit` (100), article limits and `--no-html` size a run (14 of 20). A typed vendor error hierarchy separates unavailable from absent data, the headless CLI names the missing flag before a run starts, and an unparseable decision returns REVIEW rather than Hold (15 of 20). Checkpoint resume is opt-in, a backtest rerun with the same `run_id` skips finished cells, and settlement writes each decision once; nothing writes to an outside system (15 of 20). Sensible defaults, but the default provider is OpenAI's GPT-6 models with a key, and Python only (7 of 15).", "checked": "2026-10-25" }, { "key": "security", "name": "Security \u0026 auth", "weight": 14, "effectiveWeight": 17.5, "score": 62, "points": 10.85, "reason": "Framework reading. 30 for what leaves the machine and how credentials are held, 20 for least privilege and approvals, 15 for prompt injection, 15 for audit and 20 for the security programme. Keys are read from the environment, and the package loads the nearest .env on import by walking up from the working directory. The ChatGPT sign-in uses PKCE and dynamic client registration, keeps tokens in a 0600 file and revokes them on logout. The only calls of its own are the interactive CLI's daily release and notice check, with no run data, off without a terminal or with TRADINGAGENTS_NO_UPDATE_CHECK=1. SEC EDGAR gets a placeholder contact address unless one is set (24 of 30). It places no orders and holds no broker credentials, the data tools only read, and every ticker is validated before it is used in a file path. No approval hooks, which nothing in it needs (14 of 20). News, Reddit and StockTwits text goes into prompts. The source names prompt injection as the reason for path validation, but no guidance on injection was found in the README (5 of 15). Saved reports record the run's settings and each agent's report, the memory log keeps every decision, and `debug=True` streams the graph (11 of 15). Security reports go to GitHub private vulnerability reporting per the issue template, and the changelog has Security sections for a langchain-core patch and a dependency removed over CVE-2026-22218. No SECURITY.md, no security.txt on tauric.ai, no bounty, and the repository's advisories page wasn't read (8 of 20).", "checked": "2026-10-25" }, { "key": "payments", "name": "Payments \u0026 pricing", "weight": 10, "effectiveWeight": 12.5, "score": 60, "points": 7.5, "reason": "No payment protocol (0). Self-hosted rule. Free under Apache 2.0 with nothing to buy from Tauric Research to run it (20), no card (20) and no Tauric account (20). Tauric Research's hosted services at tauric.ai are invitation or enterprise access with no public price and aren't the graded surface. Model provider costs are the user's.", "checked": "2026-10-25" }, { "key": "tasks", "name": "Task success", "weight": 10, "effectiveWeight": 0, "pending": true, "points": 0, "reason": "Pending. Task success needs the category task suites run through each tool, which haven't run yet, so this run doesn't score it. Its weight is shared across the assessed categories until then. A data provider's data-quality score is published on its listing now and becomes half of this category when it's scored." }, { "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7, "effectiveWeight": 8.75, "score": 82, "points": 7.18, "reason": "0.7.0 on 16 October 2026 (30). Six releases in the 90 days to 25 October, 0.4.0, 0.5.0, 0.5.1, 0.5.2, 0.6.0 and 0.7.0 (20). 486 issues closed against 43 open and 908 pull requests closed against 80 open per shields.io, and each release credits the people who reported or fixed its issues. Reply times couldn't be read, and 229 of the 236 commits in 90 days are by one maintainer's accounts (17 of 25). No PyPI package; versions ship as GitHub releases with a wheel since 0.7.0 (8 of 15). CI with tests, lint and a clean-install check; dependencies set lower bounds only and no Dependabot configuration is in the repository (7 of 10).", "checked": "2026-10-25" }, { "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7, "effectiveWeight": 8.75, "score": 68, "points": 5.95, "note": "editorial 73, provenance 62", "reason": "The editorial half. Apache 2.0 (30). Local software. The README says where the memory log, checkpoints, cache, reports and ChatGPT sign-in file live, and names each data source and model provider a run calls. tauric.ai's privacy policy covers its hosted services, not the framework, and gives no retention periods (18 of 30). \"Upgrading from\" notes in a dated changelog list what was removed or moved, with no written deprecation policy, and 0.5.1 removed APIs without a deprecation period (8 of 20). The update check is disclosed in the README and changelog with an opt-out, and the code says what it sends; the README doesn't name api.tauric.ai (17 of 20).", "checked": "2026-10-25" } ], "assessment": { "date": "2026-10-25", "basis": "public evidence", "confidence": "medium", "notes": { "ergonomics": "Framework reading, scored on what an outside agent needs to call it. No MCP client or server, so it can't be attached as tools; a run is four lines of Python (`TradingAgentsGraph(config=...).propagate(ticker, date)`) or one headless CLI command with flags (10 of 25). Analyst selection, debate and risk rounds (default 1), `max_tool_rounds` (20), `max_recur_limit` (100), article limits and `--no-html` size a run (14 of 20). A typed vendor error hierarchy separates unavailable from absent data, the headless CLI names the missing flag before a run starts, and an unparseable decision returns REVIEW rather than Hold (15 of 20). Checkpoint resume is opt-in, a backtest rerun with the same `run_id` skips finished cells, and settlement writes each decision once; nothing writes to an outside system (15 of 20). Sensible defaults, but the default provider is OpenAI's GPT-6 models with a key, and Python only (7 of 15).", "maintenance": "0.7.0 on 16 October 2026 (30). Six releases in the 90 days to 25 October, 0.4.0, 0.5.0, 0.5.1, 0.5.2, 0.6.0 and 0.7.0 (20). 486 issues closed against 43 open and 908 pull requests closed against 80 open per shields.io, and each release credits the people who reported or fixed its issues. Reply times couldn't be read, and 229 of the 236 commits in 90 days are by one maintainer's accounts (17 of 25). No PyPI package; versions ship as GitHub releases with a wheel since 0.7.0 (8 of 15). CI with tests, lint and a clean-install check; dependencies set lower bounds only and no Dependabot configuration is in the repository (7 of 10).", "payments": "No payment protocol (0). Self-hosted rule. Free under Apache 2.0 with nothing to buy from Tauric Research to run it (20), no card (20) and no Tauric account (20). Tauric Research's hosted services at tauric.ai are invitation or enterprise access with no public price and aren't the graded surface. Model provider costs are the user's.", "reliability": "Read with the local-software lines, because the owner runs it. Python 3.11 or later is stated and CI tests 3.11 to 3.14, but there is no package on PyPI per shields.io. The README installs from a clone or Docker Compose, and from 0.7.0 each GitHub release carries a wheel built and smoke-tested by a workflow (12 of 20). Public CI runs 982 test functions across four Python versions and one time zone away from UTC, a clean-install import check and Ruff on every push and pull request, and shields.io's badge read passing on main on 25 October 2026 (25). 43 open and 486 closed issues per shields.io, which gives counts but not their age or labels, so crash and regression issues couldn't be separated (18 of 25). The changelog follows Keep a Changelog and Semantic Versioning and lists breaking changes under \"Upgrading from\", but 0.5.1, a patch release, moved import paths and removed classes (10 of 15). Version 0.7.0 with no stability statement (0).", "schema": "Framework reading. No API reference or docs site. Typed interfaces exist in the source, Pydantic models for the research manager's, trader's and portfolio manager's outputs and Annotated signatures on the twelve data tools, with no py.typed marker (10 of 25). The README and changelog are Markdown in the repository; no llms.txt (4 of 10). The README states limits plainly, that runs vary, which statements past-dated runs withhold and why, and that it is a research tool, not advice (15 of 20). Configuration is a plain dict of string keys, though environment overrides are coerced to the default's type and fail loudly on a bad value (8 of 15). Runnable Python and CLI examples throughout the README; the vendor error hierarchy is documented only in source docstrings (9 of 15). Dated changelog for every release from 0.1.0 with upgrade notes (15).", "security": "Framework reading. 30 for what leaves the machine and how credentials are held, 20 for least privilege and approvals, 15 for prompt injection, 15 for audit and 20 for the security programme. Keys are read from the environment, and the package loads the nearest .env on import by walking up from the working directory. The ChatGPT sign-in uses PKCE and dynamic client registration, keeps tokens in a 0600 file and revokes them on logout. The only calls of its own are the interactive CLI's daily release and notice check, with no run data, off without a terminal or with TRADINGAGENTS_NO_UPDATE_CHECK=1. SEC EDGAR gets a placeholder contact address unless one is set (24 of 30). It places no orders and holds no broker credentials, the data tools only read, and every ticker is validated before it is used in a file path. No approval hooks, which nothing in it needs (14 of 20). News, Reddit and StockTwits text goes into prompts. The source names prompt injection as the reason for path validation, but no guidance on injection was found in the README (5 of 15). Saved reports record the run's settings and each agent's report, the memory log keeps every decision, and `debug=True` streams the graph (11 of 15). Security reports go to GitHub private vulnerability reporting per the issue template, and the changelog has Security sections for a langchain-core patch and a dependency removed over CVE-2026-22218. No SECURITY.md, no security.txt on tauric.ai, no bounty, and the repository's advisories page wasn't read (8 of 20).", "transparency": "The editorial half. Apache 2.0 (30). Local software. The README says where the memory log, checkpoints, cache, reports and ChatGPT sign-in file live, and names each data source and model provider a run calls. tauric.ai's privacy policy covers its hosted services, not the framework, and gives no retention periods (18 of 30). \"Upgrading from\" notes in a dated changelog list what was removed or moved, with no written deprecation policy, and 0.5.1 removed APIs without a deprecation period (8 of 20). The update check is disclosed in the README and changelog with an opt-out, and the code says what it sends; the README doesn't name api.tauric.ai (17 of 20)." }, "sources": [ { "what": "repository, cloned at v0.7.0 (e8f5503, 16 October 2026) with full history and tags", "url": "https://github.com/TauricResearch/TradingAgents", "seen": "2026-10-25" }, { "what": "README", "url": "https://raw.githubusercontent.com/TauricResearch/TradingAgents/main/README.md", "seen": "2026-10-25" }, { "what": "CHANGELOG.md", "url": "https://raw.githubusercontent.com/TauricResearch/TradingAgents/main/CHANGELOG.md", "seen": "2026-10-25" }, { "what": "CI and release workflows", "url": "https://raw.githubusercontent.com/TauricResearch/TradingAgents/main/.github/workflows/ci.yml", "seen": "2026-10-25" }, { "what": "update check source (cli/updates.py)", "url": "https://raw.githubusercontent.com/TauricResearch/TradingAgents/main/cli/updates.py", "seen": "2026-10-25" }, { "what": "ChatGPT sign-in source", "url": "https://raw.githubusercontent.com/TauricResearch/TradingAgents/main/tradingagents/llm_clients/chatgpt_auth.py", "seen": "2026-10-25" }, { "what": "default configuration", "url": "https://raw.githubusercontent.com/TauricResearch/TradingAgents/main/tradingagents/default_config.py", "seen": "2026-10-25" }, { "what": "GitHub counts (stars, forks, issues, pull requests, CI status, release, licence) via shields.io, whose robots.txt is 404", "url": "https://img.shields.io/github/actions/workflow/status/TauricResearch/TradingAgents/ci.yml.json?branch=main", "seen": "2026-10-25" }, { "what": "PyPI lookup via shields.io (package not found)", "url": "https://img.shields.io/pypi/v/tradingagents.json", "seen": "2026-10-25" }, { "what": "robots.txt for tauric.ai", "url": "https://tauric.ai/robots.txt", "seen": "2026-10-25" }, { "what": "Tauric Research home page", "url": "https://tauric.ai/", "seen": "2026-10-25" }, { "what": "TradingAgents research page", "url": "https://tauric.ai/research/tradingagents", "seen": "2026-10-25" }, { "what": "terms of service, effective 23 October 2026", "url": "https://tauric.ai/terms", "seen": "2026-10-25" }, { "what": "privacy policy, effective 23 October 2026", "url": "https://tauric.ai/privacy", "seen": "2026-10-25" }, { "what": "announcements endpoint the CLI reads", "url": "https://api.tauric.ai/v1/announcements", "seen": "2026-10-25" }, { "what": "security.txt (returns the site's HTML)", "url": "https://tauric.ai/.well-known/security.txt", "seen": "2026-10-25" }, { "what": "arXiv paper and submission history", "url": "https://arxiv.org/abs/2412.20138", "seen": "2026-10-25" }, { "what": "RDAP for tauric.ai", "url": "https://rdap.org/domain/tauric.ai", "seen": "2026-10-25" } ], "openQuestions": [ "unchecked: github.com pages. The shell got 403 from github.com and the GitHub API, and WebFetch refused the URLs, so github.com/robots.txt, the releases page, issue reply times, Discussions and the security advisories page weren't read. Counts of issues, pull requests, stars, CI status and the latest release come from shields.io's GitHub badges; the code, tags, changelog and history from a clone through the session's git proxy.", "unchecked: whether a package named tradingagents exists on PyPI under someone else. pypi.org answered with a bot check, and shields.io reported the package or version not found. The README doesn't name PyPI.", "Star count is shields.io's rounded 114k; the exact number wasn't read.", "firstReleased is 5 June 2025, the v0.1.0 tag and the commit \"initial public release of TradingAgents\". The repository's first commit, 28 December 2024, held only the paper's page, figures and citations, which matches the paper's first arXiv version the same day.", "The README and tauric.ai describe the portfolio manager approving a trade that is then executed on a simulated exchange. No exchange, order or broker code was found in v0.7.0; the output is a rating and report. Recorded as a description of the paper's simulation, not deducted. Judgement call.", "The \"up to 30.5% annualized returns\" on tauric.ai is the paper's backtest and Tauric Research's claim. The changelog records look-ahead fixes to historical runs from 0.2.3 to 0.7.0, after the paper's figures; whether they bear on those figures wasn't established. Not deducted.", "Legal entity. The terms and privacy policy say Tauric Research, under California law, with no legal form or address.", "Category. frameworks, as the brief proposed. It is a library and CLI that runs its own fixed agent graph; agent-harnesses was considered, but it doesn't run a general agent loop for a person or edit files and run commands.", "Our own products. TradingAgents doesn't do the job of LocalGhost or letme. It analyses one instrument with a fixed team of agents and picks or routes no tools. Graded the normal way." ] }, "negative": 0, "verdict": "An Apache 2.0 LangGraph framework at 0.7.0 with six releases in 90 days, a dated changelog with upgrade notes, a public test matrix and point-in-time rules for historical runs. It has no MCP client or server, no PyPI package and no documentation beyond the README, and its output is a model-written rating that places no orders.", "bestFor": "Researchers who want a fixed multi-agent analysis of one listed instrument or crypto pair on a date, with point-in-time data for backtests, and who will run Python.", "strengths": [ "Apache 2.0, with six releases between 30 August and 16 October 2026 and \"Upgrading from\" notes in a dated changelog", "CI runs 982 test functions on Python 3.11 to 3.14, a clean-install import check and Ruff, passing on main on 25 October 2026", "Past-dated runs read SEC EDGAR statements as filed on that date and withhold Yahoo statements and insider trades that can't be dated", "Runs headless from flags and TRADINGAGENTS_* variables, and checkpoint resume and backtest run IDs skip work already done", "Places no orders and holds no broker credentials; tools only read market, filing, news and social data" ], "weaknesses": [ "No MCP client or MCP server, so an agent drives it only through Python or the CLI", "Not on PyPI; installs from a clone, Docker or the wheel attached to each GitHub release since 0.7.0", "Documentation is the README and changelog only, with no API reference or llms.txt", "0.5.1, a patch release, moved import paths and removed classes without a deprecation period", "News, Reddit and StockTwits text goes into prompts with no documented guidance on prompt injection" ], "agentNotes": [ "Run headless with `tradingagents --ticker \u003cT\u003e --date \u003cYYYY-MM-DD\u003e --analysts market,news,fundamentals --save --no-show`; a missing answer stops the run and names the flag", "Guard on the REVIEW signal before mapping `propagate()`'s decision to a rating; it means no rating could be parsed", "Set SEC_EDGAR_USER_AGENT to the operator's own name and address before fetching US fundamentals", "Keep provider keys out of the working directory tree unless intended, since the package loads the nearest .env on import", "Treat the rating as model output for research; the framework places no orders and its results vary between runs" ], "metrics": { "kind": "library", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.6", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 64.7 } ], "editorialScores": { "ergonomics": 61, "maintenance": 82, "payments": 60, "reliability": 67, "schema": 61, "security": 62, "transparency": 73 }, "provenanceScore": 62, "checked": { "categories": { "ergonomics": "2026-10-25", "maintenance": "2026-10-25", "payments": "2026-10-25", "reliability": "2026-10-25", "schema": "2026-10-25", "security": "2026-10-25", "transparency": "2026-10-25" }, "last": "2026-10-25", "oldest": "2026-10-25", "stale": false, "staleAfterDays": 90 }, "scoreHistory": [ { "date": "2026-10-25", "grade": "B", "kind": "listed", "method": "0.6", "score": 64.7 } ] }, "connect": { "install": "git clone https://github.com/TauricResearch/TradingAgents.git \u0026\u0026 cd TradingAgents \u0026\u0026 pip install ." }, "letme": { "capability": "https://letme.dev/agent.framework", "tool": "https://letme.dev/tradingagents" }, "notable": [ "v0.1.0 on 5 June 2025 was the \"initial public release\" of the code. The repository dates from 28 December 2024, when it held the paper's page and figures, and the paper's first arXiv version is dated the same day (https://raw.githubusercontent.com/TauricResearch/TradingAgents/main/CHANGELOG.md, https://arxiv.org/abs/2412.20138)", "v0.7.0 on 16 October 2026, after 0.4.0, 0.5.0, 0.5.1, 0.5.2 and 0.6.0 between 30 August and 3 October. The changelog follows Keep a Changelog and lists actions needed under \"Upgrading from\" (https://raw.githubusercontent.com/TauricResearch/TradingAgents/main/CHANGELOG.md)", "No package on PyPI under the name tradingagents per shields.io on 25 October 2026. The README installs from a clone, and from 0.7.0 each GitHub release carries a wheel and source archive built by a workflow (https://img.shields.io/pypi/v/tradingagents.json)", "About 114k stars and 22k forks, 43 open and 486 closed issues, and 80 open and 908 closed pull requests, per shields.io's GitHub badges on 25 October 2026 (https://img.shields.io/github/stars/TauricResearch/TradingAgents.json)", "The output is a rating on a five-tier scale (Buy, Overweight, Hold, Underweight, Sell), or REVIEW when no rating can be parsed, with a Markdown and HTML report. No broker, exchange or order code was found in the source; the README's and tauric.ai's descriptions of an approved trade being executed describe the paper's simulation (https://tauric.ai/research/tradingagents)", "The README calls it a research framework and says it is not financial, investment or trading advice, and that backtest results are not guaranteed to match any published figure. tauric.ai says the paper's system reaches \"up to 30.5% annualized returns\", which is the paper's backtest and Tauric Research's claim (https://tauric.ai/)", "The interactive CLI checks once a day in the background for a newer release (api.github.com) and for notices (api.tauric.ai/v1/announcements), sending no run data. Runs without a terminal or in CI never check, and TRADINGAGENTS_NO_UPDATE_CHECK=1 turns it off (cli/updates.py)", "No MCP client or MCP server in the source. The twelve data tools in agents/tools.py are LangChain tools inside the graph, and an outside agent drives it through `TradingAgentsGraph.propagate()` in Python or the CLI with flags", "SEC EDGAR is called with a default User-Agent carrying the placeholder contact@example.com unless SEC_EDGAR_USER_AGENT is set. Yahoo Finance is read through the yfinance library (tradingagents/dataflows/vendors/sec_edgar.py)", "The changelog records look-ahead fixes to historical runs and backtests in releases from 0.2.3 to 0.7.0, most recently entering each decision at the first close after its date (0.7.0, #1518)", "TradingAgents does not do the job of LocalGhost or letme. It analyses one instrument with a fixed team of agents and does not pick or route between tools" ], "area": "frameworks", "details": [ { "label": "Languages", "value": "Python 3.11 or later, tested on 3.11 to 3.14" }, { "label": "Version", "value": "0.7.0 on 16 October 2026. 0.1.0 on 5 June 2025" }, { "label": "Built on", "value": "LangGraph and LangChain, with langgraph-checkpoint-sqlite for resume" }, { "label": "Agents", "value": "Market, sentiment, news and fundamentals analysts in parallel, bull and bear researchers, a research manager, a trader, aggressive, conservative and neutral risk debaters, and a portfolio manager" }, { "label": "Output", "value": "A five-tier rating or REVIEW, with structured Pydantic outputs from the research manager, trader and portfolio manager, and Markdown and HTML reports" }, { "label": "Model providers", "value": "OpenAI, Google, Anthropic, xAI, DeepSeek, Qwen, GLM, MiniMax, OpenRouter, Mistral, Kimi, Groq, NVIDIA, Azure OpenAI, Bedrock, Ollama, any OpenAI-compatible endpoint and a ChatGPT plan, with a provider per model tier" }, { "label": "Data sources", "value": "Yahoo Finance (yfinance), SEC EDGAR, Alpha Vantage, FRED, Polymarket, Reddit RSS, StockTwits, and optional screening of social posts by TypeSafe's Jev" }, { "label": "Interfaces", "value": "Python (`TradingAgentsGraph.propagate`, `run_backtest`), an interactive CLI, a headless CLI with flags, and Docker Compose. No MCP client or server" }, { "label": "State", "value": "A decision memory log in ~/.tradingagents/memory, settled against realised returns, and opt-in per-ticker SQLite checkpoints" }, { "label": "Network calls of its own", "value": "Interactive CLI only, once a day, to api.github.com and api.tauric.ai for releases and notices. Off with TRADINGAGENTS_NO_UPDATE_CHECK=1" }, { "label": "Releases in 90 days", "value": "Six, 0.4.0 to 0.7.0" }, { "label": "Paper", "value": "arXiv 2412.20138, first version 28 December 2024, seventh 3 June 2025" } ], "provenance": { "legalEntity": "Tauric Research", "domain": "tauric.ai", "domainRegistered": "2025-03-26", "endpointOnVendorDomain": null, "terms": "https://tauric.ai/terms", "privacy": "https://tauric.ai/privacy", "statusPage": "", "changelog": "https://github.com/TauricResearch/TradingAgents/blob/main/CHANGELOG.md", "securityTxt": "none", "checked": "2026-10-25", "notes": [ "The terms and privacy policy, both effective 23 October 2026, name Tauric Research and California law and cover tauric.ai's hosted services. No legal form or address was found. The framework itself is under Apache 2.0, whose LICENSE file carries no copyright line.", "tauric.ai/.well-known/security.txt returns the site's HTML page, not a security.txt. The repository's issue template sends security reports to GitHub private vulnerability reporting; there is no SECURITY.md.", "RDAP gives tauric.ai a registration date of 2025-03-26.", "No status page; the software runs on the user's machine." ], "score": 62, "checks": [ { "check": "Legal entity named", "value": "Tauric Research", "points": 20, "max": 20, "state": "ok" }, { "check": "Domain age", "value": "tauric.ai, registered 2025-03-26 (1 year)", "points": 3, "max": 15, "state": "part" }, { "check": "Endpoint on the vendor's domain", "value": "no hosted endpoint", "points": 0, "max": 0, "state": "na" }, { "check": "Terms of service", "value": "published", "points": 10, "max": 10, "state": "ok" }, { "check": "Privacy policy", "value": "published", "points": 10, "max": 10, "state": "ok" }, { "check": "Status page", "value": "not found", "points": 0, "max": 10, "state": "no" }, { "check": "Changelog", "value": "published", "points": 10, "max": 10, "state": "ok" }, { "check": "security.txt", "value": "not found", "points": 0, "max": 10, "state": "no" } ] }, "pageJsonUrl": "https://www.anchorterminal.com/tools/tradingagents.json", "live": { "slug": "tradingagents", "securityTxt": { "url": "https://tauric.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-25T15:28:01.187774257Z" }, "updatedAt": "2026-10-25T15:28:01.187774257Z" } } }