An advanced AI trading system integrating technical analysis, fundamental metrics, and institutional-grade risk management for professional stock market execution.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install smart-stock-trader
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 smart-stock-trader 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 Smart Stock Trader Automaton?
Smart Stock Trader Automaton is a high-performance financial engine designed for the modern investor. Built on Openclaw Skills architecture, it synthesizes professional financial knowledge—including chart patterns, valuation models, and position sizing—into an actionable AI assistant. It bridges the gap between retail trading and institutional tools like Bloomberg Terminal, offering deep insights without the five-figure price tag.
The system utilizes the V2.5 standard for enhanced intelligence, featuring automated knowledge injection, cross-model reviews for critical decision-making, and goal decomposition. Whether you are performing technical analysis with indicators like MACD and RSI or evaluating a company's health via ROE and PE ratios, this skill provides a comprehensive framework for disciplined and profitable trading.
Smart Stock Trader Automaton Use Cases
- Automated technical analysis and chart pattern recognition for specific tickers.
- Screening entire market sectors based on fundamental metrics like PEG and ROE.
- Backtesting custom trading strategies against historical price data to validate performance.
- Building and rebalancing diversified investment portfolios with automated risk assessment.
- Setting real-time alerts based on complex technical conditions like RSI oversold levels.
How Smart Stock Trader Automaton Works
- Data Acquisition: The system fetches real-time and historical market data through integrated financial APIs.
- Knowledge Injection: Before execution, it scans the KNOWLEDGE.md repository to incorporate relevant financial principles and past trading experiences.
- Multi-Factor Analysis: The AI performs simultaneous technical (indicators/patterns) and fundamental (financial health/valuation) evaluations.
- Risk Assessment: It calculates optimal position sizes and identifies stop-loss/take-profit levels based on your specific risk profile (e.g., 1-2% rule).
- Cross-Review & Execution: For high-stakes signals, the system invokes a cross-model review to minimize bias before generating final trading recommendations.
- Self-Critique: After a simulated or actual trade, the system runs a critique script to analyze success or failure for continuous learning.
Smart Stock Trader Automaton Setup
To install and initialize the Smart Stock Trader within your Openclaw environment, follow these steps:
# Install the skill
openclaw install smart-stock-trader-automaton
# Configure your API keys for data providers (e.g., Yahoo Finance)
openclaw config set STOCK_API_KEY=your_api_key_here
# Run your first analysis
openclaw run smart-stock-trader-automaton --analyze AAPL
Smart Stock Trader Automaton Data Schema & Taxonomy
The skill organizes trading data and financial intelligence using a structured metadata taxonomy:
| Data Type | Storage Location | Description |
|---|---|---|
| Knowledge Base | tasks/KNOWLEDGE.md |
Core financial theories and trading rules. |
| Session Data | tasks/SESSION-SNAPSHOT.md |
Temporary state for rapid recovery (<1min). |
| Goal Logic | scripts/goal-decomposer.js |
Logic for breaking trading goals into tasks. |
| Evaluation | scripts/self-critique.js |
Post-trade performance logs and analysis. |
| Tool Registry | tools/README.md |
Unified discovery for technical indicators. |
Smart Stock Trader Automaton Advanced Features
- V2.5 Intelligent Standard: Automated context injection and multi-agent cross-review workflows.
- Dynamic Portfolio Rebalancing: Quarterly or semi-annual adjustments based on asset correlation and Beta.
- Custom Backtesting Engine: Supports strategy comparison and historical playback for various timeframes.
- Psychological Guardrails: Automated warnings for common pitfalls like loss aversion and herd mentality.
- High-Confidence Signal Generation: Filters market noise to provide signals only when confidence exceeds 70%.
SKILL.md
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