{"repo":"youngseongshin/thesis-investment-os","free":true,"listed":false,"github":"https://github.com/youngseongshin/thesis-investment-os","clone":"git clone https://github.com/youngseongshin/thesis-investment-os.git","description":"An accountability layer for investment agents: thesis cards, prediction ledgers, stock screeners, and feedback loops.","language":"Python","stars":12,"topics":["ai-agents","feedback-loop","finance","investment-research","llm","local-first","thesis","equity-research","investment","portfolio-management"],"license":"MIT","category":"ai-agents","readme_excerpt":"Thesis OS 한국어 README Stop building persuasive AI. Build accountable AI. Thesis OS turns evidence into judgment. Capital is the test. Thesis OS is an accountability layer for investment agents. It is a runnable open-source core that turns fragmented market information into theses, decisions, predictions, and forward-return feedback loops you can audit later. It is for investors and builders who want their stock research, screeners, and trading-journal decisions to leave an auditable trail — not just another wall of signals. The machine produces judgment candidates; the investor validates, selects, executes, and compounds. Thesis OS is designed to make that human-system contract explicit. It is not an autonomous trading bot, a signal seller, or an AI stock picker, and it does not promise alpha. It is a framework for making investment judgment explicit, testable, and honest about its own track record. The core loop is simple: Quickstart No API keys, broker logins, or paid feeds required. Your portfolio data never has to leave your machine. The run uses a bundled sample CSV — so it works fully offline — then builds a local SQLite DB, a markdown vault, quant screener candidates, a thesis card, a prediction, rolling forward-return feedback, and a static dashboard at quickstart run/vault/dashboard/index.html . Add --live --tickers NVDA,AAPL,MSFT --benchmark SPY for no-key Yahoo/Stooq data. What This Project Is Thesis OS is not a clone of a private portfolio system and not a complete","default_branch":null,"files":null,"tree":[],"storefront":"/r/youngseongshin","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/youngseongshin/thesis-investment-os/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."}