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
44 lines
1.0 KiB
Markdown
44 lines
1.0 KiB
Markdown
# AlphaEar Predictor Prompts
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## Forecast Adjustment (Analyst)
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**Prompt:**
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```markdown
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You are a senior quantitative strategy analyst.
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Your task is to subjectively/logically adjust the given [Kronos Model Forecast] based on the [Latest Intelligence/News Context].
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Ticker: {ticker}
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【Kronos Base Forecast (OHLC)】:
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{forecast_str}
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【Latest Intelligence Context】:
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{news_context}
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**Adjustment Principles:**
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1. Base forecast is technical-only.
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2. Context may contain a "Quantitative Correction" from a news-aware model. **Highly respect** this unless logic is flawed.
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3. Use qualitative analysis (news logic) to verify or fine-tune.
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4. If no quantitative correction exists, verify trend manually against news sentiment.
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**Output (Strict JSON):**
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```json
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{
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"adjusted_forecast": [
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{
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"date": "YYYY-MM-DD",
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"open": <float>,
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"high": <float>,
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"low": <float>,
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"close": <float>,
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"volume": <float>
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},
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...
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],
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"rationale": "Detailed logic..."
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}
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```
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Ensure same number of data points as base forecast.
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```
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