{
 "schema_version": 1,
 "generated": "2026-10-26",
 "id": "tauricresearch-tradingagents--run-tradingagents-on-local-models-with-ollama",
 "repo": "TauricResearch/TradingAgents",
 "repo_url": "https://github.com/TauricResearch/TradingAgents",
 "repo_slug": "tauricresearch-tradingagents",
 "title": "Run Trading Agents on local models with Ollama",
 "page_title": "How to run Trading Agents on local models with Ollama with Trading Agents",
 "summary": "Use the Docker Ollama profile or any OpenAI-compatible local server so no API key is needed.",
 "who": "A tinkerer who wants to experiment with many runs without paying per token or sending prompts to a cloud provider.",
 "problem": "A multi-agent debate makes many model calls, which adds up fast on a paid API.",
 "outcome": "Trading Agents running end to end against local models on your own machine.",
 "steps": [
  "Run `cp .env.example .env` in the cloned repo",
  "Start the Ollama setup with `docker compose --profile ollama run --rm tradingagents-ollama`",
  "Or without Docker, set `llm_provider: \"ollama\"` and point `OLLAMA_BASE_URL` at a remote ollama-serve if needed",
  "For vLLM, LM Studio or llama.cpp, set `llm_provider: \"openai_compatible\"` and the endpoint in backend_url",
  "Pick Custom model ID in the CLI for any model not listed by default"
 ],
 "agent_prompt": "Set up TauricResearch/TradingAgents to use <local model> through Ollama (or an OpenAI-compatible server at <url>), run one analysis of <ticker>, and tell me how long it took and whether any agent step failed.",
 "agents": [
  "any"
 ],
 "difficulty": "Intermediate",
 "time": "45 minutes",
 "basis": "readme",
 "caveat": "Small local models may reason worse than the hosted ones the project defaults to, so compare before trusting any output. Not financial advice: paper trade first, and remember you can lose money.",
 "category": "Money",
 "tags": [
  "Money"
 ],
 "lang": "python",
 "requirements": [
  "Python 3.11 or later, or Docker",
  "An API key for one supported LLM provider, a ChatGPT Plus or Pro plan, or local models through Ollama",
  "Optional data keys such as Alpha Vantage and FRED (free)"
 ],
 "risk": "sensitive",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.9,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/tauricresearch-tradingagents/run-tradingagents-on-local-models-with-ollama/",
 "md": "https://dedupedai.com/use-cases/tauricresearch-tradingagents/run-tradingagents-on-local-models-with-ollama/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/tauricresearch-tradingagents--run-tradingagents-on-local-models-with-ollama.json",
 "api_version": "v1"
}