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alphasift

Strategy-based A-share stock screening, ranking, and evaluation

Screens the full A-share market with auditable YAML strategies, scores candidates with deterministic factors, and optionally ranks them with LLM reasoning. Discovers market hotspots, enriches picks with daily K-line features, and saves runs for later T+N performance evaluation. Eliminates manual spreadsheet filtering and gives agents structured JSON output for faster research workflows.
npx skills add ZhuLinsen/alphasift --all -g -y

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Frequently Asked Questions

FAQPage Schema
How to install AlphaSift?โ–ผ

Run `npx skills add ZhuLinsen/alphasift --all -g -y` in your terminal to install the skill globally.

What does AlphaSift do?โ–ผ

It scans the full A-share market, applies YAML screening strategies like dual-low or volume breakout, and outputs ranked stock candidates with scores, risks, and reasons.

Does AlphaSift require an LLM API key?โ–ผ

No. You can run deterministic screening with --no-llm or the quickstart demo without any key; LLM ranking is an optional layer configured via Gemini, OpenAI, or DeepSeek keys.

Can AlphaSift evaluate past stock picks?โ–ผ

Yes. Save any run and later evaluate it against newer snapshots with transaction costs, follow-through tags, and optional max drawdown analysis.

Is AlphaSift investment advice?โ–ผ

No. It is a research and learning tool only; outputs depend on third-party data and you are responsible for your own investment decisions.

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