{"repo":"ZhuLinsen/alphasift","free":true,"listed":false,"github":"https://github.com/ZhuLinsen/alphasift","clone":"git clone https://github.com/ZhuLinsen/alphasift.git","description":"AI-native stock screening engine with full-market discovery, LLM ranking, risk-aware scoring, and auditable evaluation. AI选股","language":"Python","stars":344,"topics":["agent","economics","finance","fintech","llm","python","quant","stock"],"license":"Apache-2.0","category":"ai-agents","readme_excerpt":"AlphaSift AlphaSift is an agent-friendly stock discovery and ranking engine. It scans a broad market universe, applies auditable YAML strategies, enriches candidates with optional market context, ranks them with deterministic factors and optional LLM judgment, and saves runs for later T+N evaluation. This README is the default English version. A Chinese version is available at README.zh-CN.md. Disclaimer - This project is for learning, research, and engineering experiments only. - It is not investment advice, a return guarantee, or a buy/sell instruction. - Outputs depend on third-party market data, optional LLM providers, local configuration, and strategy parameters. They can be delayed, incomplete, wrong, or unsuitable for real trading. - Users are responsible for independent research, compliance checks, transaction costs, liquidity risks, announcement timing, and all resulting decisions. What AlphaSift does - L1 deterministic screening : hard filters and factor scoring over the full market snapshot. - L2 optional LLM ranking : structured cross-candidate reasoning, theses, catalysts, risks, confidence, and portfolio risk buckets. - L3 pluggable post-analysis : local scorecard by default, with optional DSA or external HTTP analyzers. - Hotspot discovery : topic/sector heat ranking, hotspot detail resolution, leader stock fallbacks, cache quality metadata, and history sidecars. - Daily feature enrichment : optional candidate-level daily K-line features such as moving averages","default_branch":null,"files":null,"tree":[],"storefront":"/r/ZhuLinsen","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/ZhuLinsen/alphasift/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."}