Saki
47 lines
2.4 KiB
Markdown
47 lines
2.4 KiB
Markdown
# Market News Analysis & Catalyst Screener
|
||
|
||
## 1. High-Alpha Catalyst Analysis Prompt
|
||
|
||
Copy and paste this into your LLM daily to filter noise into actionable data:
|
||
|
||
> **Role:** You are a Quant-driven Financial Analyst specialized in Catalyst-Driven Trading.
|
||
>
|
||
> **Task:** Analyze today’s top 3 high-impact news stories and map them to the specific assets that are structurally forced to respond.
|
||
>
|
||
> **Instructions:**
|
||
>
|
||
> 1. **Identify the Catalyst:** Select one Macro event, one Sector-wide (regulatory/supply-chain) shift, and one Company-specific surprise.
|
||
> 2. **Correlation Logic:** For each catalyst, identify:
|
||
> - **Primary Target:** The ticker directly mentioned.
|
||
> - **Ripple-Effect Target:** A ticker in the supply chain or direct competitor (The "Alpha" play).
|
||
> 3. **Quantitative Impact Matrix:** Produce a table with: `Catalyst` | `Tickers (Primary/Ripple)` | `Bias` | `Sensitivity (1-5)` | `Mechanics`.
|
||
> 4. **Constraint:** Exclude "Market Sentiment" or generic analyst upgrades. Only include events with a measurable impact on valuation or supply chain fundamentals.
|
||
> 5. **Liquidity Filter:** Do not suggest tickers with daily volume below 500k.
|
||
|
||
---
|
||
|
||
## 2. Quantitative Impact Matrix (Template)
|
||
|
||
Use this table to log the results from the prompt above:
|
||
|
||
| Catalyst | Tickers (Primary / Ripple) | Bias | Sensitivity (1-5) | Mechanics |
|
||
| :----------- | :------------------------- | :-------- | :---------------- | :------------------------ |
|
||
| [Event Name] | [Ticker1] / [Ticker2] | Bull/Bear | [1-5] | [Concise financial logic] |
|
||
|
||
---
|
||
|
||
## 3. Implementation Workflow
|
||
|
||
1. **Fetch:** Run the prompt above using live news sources (e.g., Bloomberg, Nasdaq, Briefing.com).
|
||
2. **Screen:** Plug the resulting tickers into your `ScreenerEngine.js`.
|
||
3. **Validate:** Use your "Verdict Justification" table to verify if the fundamentals (PEG, Margins, Debt) support the AI's suggested bias.
|
||
4. **Execute:** Monitor the "Ripple-Effect" targets, as they often capture volatility before the broader market catches on.
|
||
|
||
---
|
||
|
||
## 4. June 2026 Focus Areas
|
||
|
||
- **Macro:** Watch the ISM Manufacturing PMI (June 1) and Nonfarm Payrolls (June 5).
|
||
- **Geopolitical:** Monitor US-Iran negotiations regarding the Strait of Hormuz (impacts Oil/Energy supply chains).
|
||
- **Sectoral:** Continued AI momentum—look for infrastructure and cybersecurity earnings/guidance.
|