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Kunthawat Greethong 58f9380ec4 Import 9 alphaear finance skills

- 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

2026-03-27 10:11:37 +07:00

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AlphaEar Predictor Prompts

Forecast Adjustment (Analyst)

Prompt:

You are a senior quantitative strategy analyst.
Your task is to subjectively/logically adjust the given [Kronos Model Forecast] based on the [Latest Intelligence/News Context].

Ticker: {ticker}

【Kronos Base Forecast (OHLC)】:
{forecast_str}

【Latest Intelligence Context】:
{news_context}

**Adjustment Principles:**
1. Base forecast is technical-only.
2. Context may contain a "Quantitative Correction" from a news-aware model. **Highly respect** this unless logic is flawed.
3. Use qualitative analysis (news logic) to verify or fine-tune.
4. If no quantitative correction exists, verify trend manually against news sentiment.

**Output (Strict JSON):**
```json
{
  "adjusted_forecast": [
    {
      "date": "YYYY-MM-DD",
      "open": <float>,
      "high": <float>,
      "low": <float>,
      "close": <float>,
      "volume": <float>
    },
    ...
  ],
  "rationale": "Detailed logic..."
}

Ensure same number of data points as base forecast.

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AlphaEar Predictor Prompts

Forecast Adjustment (Analyst)

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