A sophisticated 11-skill quantitative research pack designed for systematic market analysis, backtesting, and portfolio risk management.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install einstein-research
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 einstein-research 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 Einstein Research Suite?
The Einstein Research Suite is a powerhouse collection of Openclaw Skills specifically engineered for serious traders, investors, and quantitative analysts. It transforms raw market data into actionable intelligence by providing a complete ecosystem for strategy validation and risk assessment. Whether you are detecting market bubbles or calculating complex options Greeks, this suite provides the technical rigor required for professional-grade financial research.
This pack bridges the gap between discretionary trading and systematic execution. By leveraging these Openclaw Skills, users can automate the tedious aspects of market breadth analysis, macro regime detection, and scenario projection, allowing for more objective decision-making in volatile environments.
Einstein Research Suite Use Cases
- Validating systematic trading strategies through historical backtesting and performance metrics.
- Monitoring market health using composite breadth scores and bubble detection algorithms.
- Managing capital through Value at Risk (VaR) calculations and portfolio stress testing.
- Identifying institutional market bottoms using the Follow-Through Day (FTD) signal detector.
- Modeling 18-month economic scenarios based on real-time news headlines and macro regimes.
How Einstein Research Suite Works
- Environment Initialization: The user installs the required Openclaw Skills from the suite to establish the quantitative research environment.
- Data Ingestion: Skills interface with historical and real-time market data to feed the analytical engines.
- Analysis & Signal Generation: Specialized modules like the Macro Regime Detector or Breadth Analyzer process data to output composite health scores and regime shifts.
- Strategy Validation: The Backtest Engine runs specific strategy parameters against historical data to generate performance reports.
- Risk & Scenario Planning: The Portfolio Risk and Scenario Analyzers provide final layers of protection by simulating extreme market events and measuring asset correlations.
Einstein Research Suite Setup
To deploy the full Einstein Research Suite, install the individual Openclaw Skills via the CLI:
Einstein Research Suite Data Schema & Taxonomy
The suite organizes its output into structured research artifacts and metadata for easy integration into trading journals or dashboards:
| Data Type | Description | Key Metrics |
|---|---|---|
| Backtest Reports | Detailed historical performance data | Sharpe Ratio, Max Drawdown, Win Rate |
| Market Breadth | Composite health scores (0-100) | Advance-Decline, New Highs/Lows |
| Risk Profiles | Portfolio exposure analysis | VaR, Correlation Matrix, Beta |
| Scenario Maps | 18-month projections | Probability weighting, Catalyst triggers |
| Theme Scores | Lifecycle tracking for market trends | Sentiment, Momentum, Adoption stage |
Einstein Research Suite Advanced Features
- Multi-agent synergy where research outputs from one skill (e.g., Regime Detection) serve as parameters for another (e.g., Options Strategy).
- Institutional-grade risk modeling including Value at Risk (VaR) and complex correlation matrices.
- Quantitative bubble detection utilizing price acceleration and sentiment exhaustion metrics.
- Automated headline-to-scenario mapping for long-term macro forecasting.
- Comprehensive options analysis featuring Black-Scholes modeling and real-time Greek calculations.
SKILL.md
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