{"repo":"achaljhawar/1rok","free":true,"listed":false,"github":"https://github.com/achaljhawar/1rok","clone":"git clone https://github.com/achaljhawar/1rok.git","description":"Multi-LLM trading harness.","language":"TypeScript","stars":41,"topics":["ai","ai-agents","algorithmic-trading","alpaca","autonomous-agents","finance","gemini","investment","llm","multi-agent"],"license":"MIT","category":"ai-agents","readme_excerpt":"1rok 1rok is a standalone harness for running portfolio-construction agents across OpenAI, Anthropic, Gemini, xAI, DeepSeek, GLM, and OpenRouter against the same financial tool surface. Agents query Alpaca, Yahoo Finance, FRED, and Tavily through an inline, in-process tool registry defined in this repo. Live leaderboard tracking how each model's portfolio performs in paper trading on Alpaca (started 2026-01-20): investingbench.vercel.app . [!NOTE] run produces an artifact. execute places orders. They are always separate commands. run never touches a broker; execute --live is the only path to real order placement. Features - Inline tool registry — listTools / callTool over local handlers; one registry per pipeline run. - Eight tool groups — market, stock, research, technicals, options, earnings, portfolio, Tavily web search. - Seven LLM providers — OpenAI (GPT-5.2/5.4/5.5), Anthropic (Claude Opus 4.7 / Sonnet 4.6 / Haiku 4.5), Gemini, xAI, DeepSeek, GLM, OpenRouter — behind a single tool-calling loop. - Specialist agents — orchestrator, screener, fundamental, valuation, technical, sentiment, catalyst, macro, risk, constructor. - Two-stage pipeline — run emits a portfolio-construction JSON artifact; execute reads it and places orders via Alpaca (paper by default). - Provider-agnostic schemas — Zod definitions converted to each provider's tool-call format with shared retry/loop logic. Agent Pipeline Four stages, ten agents, one weekly run. Macro reads regime; Screener surfaces 2","default_branch":null,"files":null,"tree":[],"storefront":"/r/achaljhawar","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/achaljhawar/1rok/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}