58f9380ec4
- alphaear-deepear-lite: DeepEar Lite API integration - alphaear-logic-visualizer: Draw.io XML finance diagrams - alphaear-news: Real-time finance news (10+ sources) - alphaear-predictor: Kronos time-series forecasting - alphaear-reporter: Professional financial reports - alphaear-search: Web search + local RAG - alphaear-sentiment: FinBERT/LLM sentiment analysis - alphaear-signal-tracker: Signal evolution tracking - alphaear-stock: A-Share/HK/US stock data Updates: - All scripts updated to use universal .env path - Added JINA_API_KEY, LLM_*, DEEPSEEK_API_KEY to .env.example - Updated load_dotenv() to use ~/.config/opencode/.env
78 lines
2.2 KiB
Markdown
78 lines
2.2 KiB
Markdown
# AlphaEar Finance Report Prompts
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Use these prompts to guide the Agent in generating professional financial reports.
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## 1. Cluster Signals (Planner)
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**Prompt:**
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```markdown
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You are a senior financial report editor. Your task is to cluster the following scattered financial signals into 3-5 core logical themes for a structured report.
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### Input Signals
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{signals_text}
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### Requirements
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1. **Theme Aggregation**: Group highly correlated signals (e.g., all related to "supply chain restructuring" or "policy tightening").
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2. **Narrative Logic**: Generate only theme titles and list of signal IDs.
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3. **Quantity Control**: 3-5 major themes.
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### Output Format (JSON)
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{
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"clusters": [
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{
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"theme_title": "Theme Name (e.g. Supply Chain Shock)",
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"signal_ids": [1, 3, 5],
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"rationale": "These signals all point to..."
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},
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...
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]
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}
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```
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## 2. Write Section (Writer)
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**Prompt:**
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```markdown
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You are a senior financial analyst. Write a deep analysis section for the core theme **"{theme_title}"**.
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### Input Signals (Cluster)
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{signal_cluster_text}
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### Requirements
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1. **Narrative**: Weave signals into a coherent story. Start with Macro/Industry background, then transmission mechanism, finally stock impact.
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2. **Quantification**: Cite ISQ scores (Confidence, Intensity) to support views.
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3. **Citations**: Use `[@CITE_KEY]` format. Keys are provided in input.
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4. **Predictions**: detailed predictions for affected tickers (T+3/T+5 direction).
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### Formatting
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- Main Title: `## {theme_title}`
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- Subtitles: `###`
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- **Charts**: Insert at least 1-2 `json-chart` blocks.
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**Chart Example:**
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```json-chart
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{"type": "forecast", "ticker": "002371.SZ", "title": "Forecast", "pred_len": 5}
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```
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```
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## 3. Final Assembly (Editor)
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**Prompt:**
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```markdown
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You are a professional editor. Assemble the drafted sections into a final report.
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### Draft Sections
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{draft_sections}
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### Requirements
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1. **Structure**: Ensure H2/H3 hierarchy is correct.
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2. **References**: Generate `## References` section from source list.
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3. **Risk**: Generate `## Risk Factors`.
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4. **Summary**: Generate `## Executive Summary` with a "Quick Scan" table.
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Output strictly Markdown.
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```
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