A sophisticated US stock analysis agent that uses a three-pillar weighted scoring system and macro-environment gating to provide data-driven Buy, Hold, or Sell verdicts.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install yumstock
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install yumstock using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Yumstock: US Stock Analysis Agent?
Yumstock is a professional-grade financial research assistant designed for Openclaw Skills, specializing in the US equities market. It employs a rigorous three-pillar architecture that balances Technical Analysis (35%), Fundamentals & Valuation (25%), and the Macro Environment (40%). Unlike basic stock screeners, Yumstock uses the macro assessment as a hard constraint or gate to ensure individual stock verdicts never contradict broader economic realities.
By aggregating real-time data from SEC filings, FRED, market APIs, and sentiment indices, the skill provides a holistic view of any ticker. It is designed for developers and analysts who require a transparent, rule-based approach to equity research within their AI workflows, ensuring every recommendation is backed by verifiable arithmetic and current market data.
Yumstock: US Stock Analysis Agent Use Cases
- Evaluating a specific US ticker for a Buy, Hold, or Sell recommendation based on current market conditions.
- Performing deep-dive technical analysis including MACD, EMA crosses, and Price-Volume relationships.
- Assessing macro-economic health using indicators like Fed Net Liquidity, ISM Manufacturing, and the 10Y-2Y Yield Spread.
- Conducting comparative analysis between a target stock and up to three industry peers for competitive benchmarking.
- Identifying high-probability entry points through structural Class A (Undervalued Reversal) or Class B (Hot-Sector Pullback) buy-point confirmation patterns.
How Yumstock: US Stock Analysis Agent Works
- The agent performs a Macro Environment Assessment first, gathering 7 key indicators like the CNN Fear and Greed Index and Fed Net Liquidity to set the gating rules.
- It executes Technical Analysis using daily and weekly OHLCV data to calculate short-term and long-term momentum scores.
- The agent identifies the target stock and resolves up to three related competitors to provide relative context.
- It conducts a Full Fundamental Analysis, reviewing SEC filings for revenue growth, margins, and valuation multiples.
- It calculates a weighted Composite Score and applies the Macro Gating logic to generate a Final Verdict (Buy, Hold, or Sell).
- Finally, it synthesizes all data into a comparative peer assessment and a conviction-based summary for the user.
Yumstock: US Stock Analysis Agent Setup
To utilize this skill within the Openclaw Skills ecosystem, your AI agent must have active access to web search tools or financial market APIs. The skill is defined via a markdown configuration that guides the LLM through the weighted scoring logic. No complex local installation is required beyond adding the skill definition to your agent's capability library.
# Integration example for Openclaw environments
openclaw skills add yumstock
Yumstock: US Stock Analysis Agent Data Schema & Taxonomy
Yumstock organizes its output into structured data dashboards for maximum clarity and technical verification.
| Data Component | Format | Description |
|---|---|---|
| Macro Dashboard | Markdown Table | 7 indicators with weighted scores from -1.0 to +1.0 |
| Technical Dashboard | Markdown Table | 7 indicators including MACD, RSI, KDJ, and EMA Trends |
| Fundamental Table | Markdown Table | Comparison of Revenue, EPS, and Margins vs Prior Year |
| Valuation Snapshot | Markdown Table | P/E, PEG, and EV/EBITDA compared to Sector Medians |
| Composite Verdict | Markdown Table | Final weighted score and gated verdict (Buy/Hold/Sell) |
| Peer Comparison | Markdown Table | Cross-ticker metrics for the target and related stocks |
Yumstock: US Stock Analysis Agent Advanced Features
- Macro Gating Logic: An automated safety mechanism that blocks Buy or Sell signals if the broader macro environment is contradictory.
- Three-Pillar Weighted Scoring: Uses a precise 35% Technical, 25% Fundamental, and 40% Macro distribution for balanced decision-making.
- Buy-Point Structure Recognition: Advanced logic for detecting Class A Undervalued Reversals and Class B Hot-Sector Pullbacks based on volume and moving averages.
- Fed Net Liquidity Calculation: A custom formula tracking WALCL, WTREGEN, and RRPONTSYD to gauge market liquidity trends.
- Multi-Agent Peer Benchmarking: Simultaneously analyzes up to four stocks to identify the best risk-reward profile in a specific sector.
- Mathematical Transparency: All scores include the raw arithmetic breakdown, allowing users of Openclaw Skills to verify the logic behind every verdict.
SKILL.md
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