earnings-sentiment

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Earnings sentiment analysis, analyst estimates vs guidance, earnings surprise history, consensus sentiment, earnings revision trends, analyst rating changes, earnings beat miss track record, guidance accuracy, whisper numbers, pre-announcement sentiment

AI & Automation 206 stars 16 forks Updated 2 days ago Apache-2.0

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Skill Content

<!-- analog: catalyst-calendar --> ## Preflight Run canonical pre-flight per `contracts/preflight.md`. Include the `X-Agentii-Trace` header on every tool call per `contracts/x-agentii-trace-header.md` — carry the `_run_id` from your first tool result and name yourself (and your parent, if you were spawned). ## Triggers - analyze earnings sentiment - run earnings sentiment analysis - produce earnings sentiment report - earnings sentiment breakdown - earnings sentiment deep dive - build a earnings sentiment - assess earnings sentiment - quantify earnings sentiment - compare earnings sentiment across peers - review earnings sentiment for - generate earnings sentiment on - earnings sentiment for investment decision ## Defaults | Parameter | Default | Notes | |---|---|---| | lookback_quarters | 4 | Historical data window — matches `temporal_scope.default_quarters` | | include_peers | false | Whether to surface a peer comparison block | ## Methodology ### Retrieval Scope This skill performs unstructured document search at scale (10-K, 10-Q, 8-K filings and earnings call transcripts spanning multiple fiscal periods). The three-layer agent-use-ready retrieval protocol (Document Discovery → Page Map → Deep Read) applies to all unstructured document search at scale. ### Retrieval Strategy **Ownership & insider signals**: `search_institutional_holdings` (top-10 holders + whale portfolios, `direction=accumulating|reducing|new|exited`) and `search_insider_trades` (Form-4 transa...

Details

Author
agentii-ai
Repository
agentii-ai/agentii-investment-intelligence
Created
4 months ago
Last Updated
2 days ago
Language
Python
License
Apache-2.0

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