Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Useful for quant-research engineers, AI-trading-platform builders, and finance-LLM application teams who need an Apache-2.0-licensed, open-source agent-native stock discovery and ranking engine that scans a broad market universe, applies auditable YAML strategies, enriches candidates with optional market context, ranks them with deterministic factors plus optional LLM judgment, and saves runs for
Who should use it
Who should skip it
Skip or sandbox it if you cannot review permissions, data access, and failure modes before use.
Risk explanation
It is an Apache-2.0-licensed agent-native stock discovery and ranking engine that ships research / engineering output and explicitly is not investment advice, so review which market-data sources and LLM keys the engine is allowed to call, scope which strategies are run in production, confirm that the LLM-ranking layer is sandboxed with an isolated API key before any real-money decision, and never treat AlphaSift output as buy / sell instructions.